Next Article in Journal
The Influence of Recycled Concrete Aggregate on Crack Development and Bending Capacity of a Reinforced Concrete Beam
Previous Article in Journal
Study on the Bearing Characteristics of a Novel Inner Support Structure for Deep Foundation Pits Based on Full-Scale Experiments
Previous Article in Special Issue
Bayesian Belief Network Analysis for Chinese Off-Site Manufacturing Risk
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Prefabricated and Modularized Residential Construction: A Review of Present Status, Opportunities, and Future Challenges

Department of Civil Engineering, California State Polytechnic University, Pomona, CA 91768, USA
Buildings 2025, 15(16), 2889; https://doi.org/10.3390/buildings15162889
Submission received: 8 July 2025 / Revised: 1 August 2025 / Accepted: 8 August 2025 / Published: 15 August 2025

Abstract

Many countries worldwide are facing a housing crisis, marked by a shortage of affordable housing. To respond to this growing crisis, prefabricated residential construction is gaining popularity due to cost savings in mass production, faster construction times, improved quality control, and sustainability considerations. This study provides a critical review of the available literature within the prefabricated and modular residential construction industry to assess its present status and to identify opportunities and challenges. The literature was categorized into the subfields of architecture, sustainability, structural, energy, environment, factory build, installation, policy, possibilities and challenges, and case studies. A detailed summary is provided for each subfield. This study aims to provide insights into the prefabricated and modular residential construction industry to fill the knowledge gap, discover possibilities, and address any challenges to create a clear pathway for implementation.

1. Introduction

Prefabricated residential construction consists of prefabricating building elements or modules in a factory and then transporting them to a construction site for assembly and connection to foundations and utilities. In recent years, this approach has gained significant popularity due to its advantages over traditional methods. Some of the advantages of prefabricated residential construction include optimized designs that consider energy efficiency, lower carbon emissions, water conservation, economy of mass production due to streamlined and standardized construction processes, faster construction times and reduced site management costs, improved quality control, better acoustic and thermal insulation from structural insulated panels (SIPs), reduced waste, controlled and safer working conditions, decreased on-site labor requirements, less disturbance to the neighborhoods during construction, and the ability to disassemble and reuse the modules. Furthermore, the accelerated pace of construction can respond to the significant shortage of housing supply, address the affordability gap, or provide temporary housing for post-emergency circumstances such as earthquakes, wildfires, and hurricanes. Although there are numerous advantages, there are also challenges and barriers that need to be addressed. Some of these include the high cost of newly developed sustainable materials; offsite competitors; potential negative perceptions of prefabricated housing; regulations and tariffs; building code gaps and inconsistencies; a lack of industry knowledge on prefabricated design, construction, and regulatory processes; and potential incompatible procurement approaches.
This paper seeks to contribute towards addressing the knowledge gap of the prefabricated modular residential housing field by providing a comprehensive and qualitative literature review. This paper uniquely contributes to the existing body of literature by integrating the historical context (U.S.), policy (U.S.), current market data (U.S.), and scholarly research (worldwide) across diverse disciplines of the prefabricated and modular residential housing. Future research is needed to expand this knowledge to a global context.
First, this paper defines the terms prefabricated, modular, manufactured, and mobile homes and presents the general permit requirements in the United States. Also, market trends for the past 30 years and current market conditions are reported for the United States. Next, the research methodology is introduced for conducting a literature review of prefabricated and modularized residential construction, and its subfields’ summaries are systematically presented. The opportunities and challenges are discussed both for researchers and industry practitioners; specific examples are provided for the United States. Lastly, the conclusions are presented.

2. Background

Definitions: Prefabricated construction is an umbrella term that refers to the general process where a building element or the building is manufactured at a factory prior to its final assembly [1,2,3]. One example of a prefabricated element is structural insulated panels (SIPs). SIPs consist of an insulating foam core between an exterior sheathing (typically a shear wall) and an interior sheathing. They are delivered for on-site assembly and provide a high-performance structural system for residential construction. Modular construction refers to a structure that is built in contained units. The units are mostly completed at the factory (see Figure 1). A modular construction is typically prefabricated, but prefabricated construction does not necessarily have to be modular. A modular home is generally installed on permanent foundations. Typical uses for these homes are either single-family residences (SFRs) or accessory dwelling units (ADUs) where the homeowner owns the land. Because they are on permanent foundations, they require a building permit and are subject to local zoning and building code requirements.
The distinction between modular home, manufactured home, and mobile home comes from the U.S. Census and Department of Housing and Urban Development (HUD). Manufactured homes are typically in communities where the developer owns the land. Manufactured homes and mobile homes refer to the same units but, according to HUD, a factory-built home after 15 June 1976 is a manufactured home, whereas a factory-built home prior to 15 June 1976 is a mobile home. Thus, modular home, manufactured home, and mobile home all refer to homes that were built at a factory. They are designed to be transported to a site for assembly and permanent installation. Trailers are designed to be towed behind a vehicle and only provide temporary housing and are outside the scope of this paper [4].
In this paper, the terms prefabricated construction and modular construction are used interchangeably. See Figure 1 for a visual taxonomy.
Structural Permits for Prefabricated Housing: The U.S. Department of Housing and Urban Development (HUD) is the federal agency that sets standards for the construction of prefabricated homes in the United States. Each state has a State Administrative Agency (SAA) for HUD. In California, the SAA is the California Department of Housing and Community Development (HCD). HCD regulates the construction and standards of manufactured homes, modular homes, and other factory-built housing structures where concealed manufacturing processes cannot be inspected before installation. The permitting process for all factory-built housing components and systems includes plan approval, inspections at the factory, and an insignia issued by HCD [5]. There are various types of structural systems for prefabricated modular homes in the current market.
Building Permit: All residential construction on permanent foundations must apply for a separate permit through the local governing jurisdiction and to connect to existing utilities.
Size of Modules and Transportation: Each state has a governing agency that issues a permit to operate or move a vehicle to deliver the modules that are oversized or overweight. For example, in California, the California Department of Transportation [6] has discretionary authority to issue a special permit to operate or move a vehicle where the size or weight exceeds the maximum limitations as specified in the California Vehicle Code. The single trip permit is for loads greater than 8′-6” wide, 14′-0” high, and over 80,000 pounds. The permit application process lays out the trip route, potential restrictions on travel times, dimensional limitations (widths and heights), and weight limitations. Depending on the size of the vehicle, pilot car(s) may be required, and height limitations are to verify adequate clearance under the bridges along the highways and roadways.
Market Share: From the U.S. Census data between 1994 and 2023, the number of new single-family houses completed were examined between site-built versus prefabricated (panelized, modular, and manufactured) construction (See Table 1). From this table, prefabricated construction (panelized, modular, and manufactured) numbers and trends were plotted on Figure 2 and Figure 3. For manufactured homes, the number was in decline between 1999 and 2010, but it has been slowly and generally increasing since then. For the U.S. residential construction market share as of 2023, manufactured homes constitute 8.2%, modular homes 1.4%, and panelized construction 1.1%. In all, prefabricated new single-family homes constitute approximately 10% of the market share; it has been consistently between 10% and 15% since 2003 [7].

3. Research Methodology

A thorough literature review was conducted on prefabricated and modular single-family house construction. Database queries were run on ScienceDirect using the keywords “prefabricated modular manufactured residential construction.” With this search, 680 research articles were found in English. The subject areas were limited to Engineering, Energy, Environmental Science, Business, Management and Accounting, Decision Sciences, Material Sciences, and Computer Sciences. The subject areas of Earth and Planetary Sciences, Social Sciences, and Arts and Humanities were removed. Out of these, the dates were limited to 2010 to current (2025), as the number of journal articles were small prior to 2010. Also, conference proceedings were excluded from the literature review. In all, 428 research articles were found in ScienceDirect (see Figure 4). The current year is excluded in the plot.
Using a similar methodology, database queries were run on SCOPUS using keywords “prefabricated” OR “modular” OR “manufactured” AND “residential construction.” This search returned 520 research articles written in English. The subject areas were limited to Engineering, Environmental Science, Energy, Business, Management and Accounting, Materials Science, Computer Science, Mathematics, Economics, Econometrics and Finance, Multidisciplinary, and Decision Sciences. The subject areas of Social Sciences, Physics and Astronomy, Arts and Humanities, Earth and Planetary Sciences, Chemical Engineering, Medicine, Agricultural and Biological Sciences, Chemistry, Pharmacology, Toxicology, and Pharmaceutics, Psychology, and Health Professions were removed. The entire range of dates were kept from 1970 to current. Also, conference proceedings were excluded from the literature review. Coincidentally, the same number of 428 research articles were found in SCOPUS (see Figure 5). The current year is excluded from the plot. As SCOPUS is the largest citation database of research literature with a wide variety of peer-reviewed journals, this was utilized as the main data source. Any duplicate articles were reviewed and removed. For inclusion criteria, quality assessment was conducted through reviewing the impact factor of the journal along with the number of citations. Lastly, abstracts were reviewed and categorized to examine the current state of prefabricated single-family house residential construction industry, and to identify research gaps, opportunities, and challenges.

4. Overview of Prefabricated and Modularized Residential Construction and Its Subfields

To understand the current state of prefabricated and modularized construction, the research articles found were sorted into eight categories, namely, (1) architecture, (2) sustainability, (3) structural, (4) energy or environment, (5) factory build, (6) installation, (7) policy, or possibilities and challenges, and (8) case studies (see Table 2). Qualitative summaries are provided in each section, but quantitative synthesis such as a meta-analysis of the research articles is outside the scope of this study.
Although the research articles have been categorized, many topics have interdependencies and various disciplines usually work together for the final construction project. For example, optimized dimensions not only affect architecture, but also structural (length of gravity or lateral members), factory build (minimizing waste and optimizing productivity), and field installations (modular dimensions impact delivery permits and methods). Material selection also has numerous overlapping effects, including architecture (color, texture, and function), sustainability (sourcing and carbon emissions), structural (material strengths, if used as a structural member), energy (insulation), factory build (familiarity with installations and productivity), and policy (receiving permits). Another example would be in the selection of the structural system. Whether the structural module is constructed from timber, mass timber, cold-formed steel, structural steel, or concrete will affect sustainability, factory build, and field installation (delivery and connections to foundations). These examples are shown in Table 3.

4.1. Architecture

Although the architectural design considerations, such as site and location, esthetics, space and composition, functionality, acoustics, and scalability are important in all construction projects, in this paper, only the design concerns that are specific to prefabricated and modular designs are presented, within the scope of the literature review methodology.
  • Automated design: To maximize opportunities for cost-effective design, a few studies were found that aimed to automate some of the manual processes in design. In a study by Pibal et al. [8], an algorithm-aided Building Information Modeling (BIM) approach with Revit, Dynamo, and Excel workflow was utilized within the design processes to optimize the manual processes. In another study by Alwisy et al. [9], a 2D computer-aided design (CAD) drawings were utilized to automatically generate BIM models, as well as shop drawings for the wood-framed panels. Automated processes can potentially reduce the design cost, improve layout accuracy, and enhance productivity.
  • Active and passive design: A case-study of an energy-efficient resident building, the TDART house in Morocco, was evaluated for active and passive solar systems along with bioclimatic design to achieve a net-positive energy [10]. The key strategies included a cool roof, optimized orientation, natural ventilation, and insulation. The house’s energy performance across lighting, heating, cooling, and hygrothermal behavior was evaluated. The study measured that (1) the heating and cooling demands were reduced by 40.27% and 29.79%, respectively, (2) the house resulted in net-positive energy balance, and (3) the occupants confirmed satisfaction. The case study indicated possible replication and scalability in other areas such as North America’s hot climates. In another study in the southeastern Mediterranean climate [11], the authors noted that cooling and heating comprised the greatest proportion of the total energy consumption (73%). Thus, the study aimed to develop passive cooling retrofit design strategies for modular buildings to improve occupants’ thermal comfort and reduce the overheating risk. After conducting building retrofits with ventilation and passive shading systems, an approximate 81% reduction in cooling consumption was achieved. Since mass production of residential houses is possible with modular construction, utilizing energy saving or passive designs could be very beneficial.
  • Optimized design considerations: To generate various automated layout designs [12], a study by Wei et al. [13] incorporated design rules and parameters, both from the current building codes and inputs by the user, in BIM. This approach was found to generate fast design layouts with constructability evaluations. To optimize the modular configurations, a study by Liang and Yu [14] presented the design of prefabricated houses based on the optimization theory, modular function, modular design, and modular replacement. Another study [15] examined the optimum module configuration based on crane selection and scheduling methods. It introduced a new parameter called “modular suitability indicator” to accomplish a near optimum selection of modular configuration for an efficient delivery. Other optimized design considerations are covered in the following sub-sections: Section 4.2b (minimizing LCA), Section 4.4a (minimizing energy), and Section 4.5d (minimizing structural waste).

4.2. Sustainability

  • Assessment framework: There are various sustainability metrics utilized to monitor progress, such as the United Nations Sustainable Development Goals. Some of these metrics include measuring the carbon footprint, impact to global biodiversity, economic impacts, and social impacts. Some of the benchmark sustainability frameworks such as Leadership in Energy and Environmental Design (LEED) mainly address the environmental aspects of buildings and do not address economic or social aspects. Thus, a study by Kamali et al. developed and ranked suitable life cycle sustainability performance criteria for modular buildings through a comprehensive literature review and expert interviews [16]. In several studies, a holistic approach was utilized to assess sustainability from various dimensions [17], including economic, environmental and social, accessibility, adaptability, health and comfort, impact on the neighborhood, maintenance and maintainability, safety, and security [18].
  • Life cycle analysis: The life cycle analysis assessment (LCA) studies can largely be categorized into materials LCA [19], components LCA (such as slabs or wall panels [20,21,22,23,24]), or systems LCA [25,26,27,28]. There were studies that conducted LCA utilizing a BIM-based approach [29,30,31,32,33,34], and design strategies were presented for reducing embodied carbon in construction projects [35].
  • LCA comparisons: There were numerous studies that compared the LCA of prefabrication methods to conventional methods [36,37,38,39,40,41,42]. The results were mixed; some concluded that neither option is the absolute option, but optimal designs, a decrease in materials, and incorporating mass production can reduce the material and energy consumption [38]. One of the studies compared LCA and the cost of two engineered wood products: cross-laminated timber (CLT) versus glued-laminated timber (GLT) [43].

4.3. Structural

  • Components: There are many new developments in modular construction gravity components such as new flooring or wall systems. For new flooring, there are various composite systems such as timber–steel [44,45], timber–concrete [46,47], hollow cellular panels [48], and composite concrete and expanded polystyrene (RC-EPS slabs) [49]. For new developments in walls or panels, there were prefabricated cross-laminated timber using Australian Radiata Pine [50], composite steel walls [51], infill walls using traditional materials [52], straw bale wall panels [53], prefabricated hybrid steel walls [54], and glass fiber-reinforced rigid polyurethane foam (PUF) and Magnesium Oxide (MgO) boards [55]. Furthermore, the three-dimensional (3D) printing of concrete for modular construction was examined [56,57,58].
  • Systems: A few different types of failure mechanisms were studied on prefabricated structural systems including multi-family buildings under gas explosions [59] and progressive failure of large-panel buildings [60]. Structural performance was tested in prefabricated buildings constructed of various materials including timber [61,62], cold-formed steel [63,64], and hybrid light steel panel and modular systems [65]. There were also other experimental tests conducted for vibrations in lightweight steel floors [66] and for deformations in multistory large-timber-panel buildings [62].
  • Connections: There were a few experiments that conducted structural performance of inter-module connections using concrete-filled steel tubular columns [67], glued-in multiple steel rod connections in CLT [68], and CLT-panel-to-foundation-angle-bracket connections [69]. For non-structural performance, a seal-sealing joint was tested for airtightness and thermal bridging effects [70].
  • Existing building assessment: For retrofit projects, some were related to (1) occupancy change: for example, a timber residential building that was converted into a shop, nursey, or office [71]; (2) the retrofit of reinforced concrete buildings with prefabricated timber panels [72], and the retrofit of reinforced concrete or unreinforced masonry buildings with textile-reinforced concrete panels; and (3) modernization projects for large-panel construction built in 1970s and 1980s in Central European countries [73].

4.4. Energy/Environment

  • Energy: Energy efficiency was examined for various project locations (1) in Hong Kong for the operational phase of a residential building [74] and (2) for prefabricated buildings in China [75]. Also, energy efficiency was examined for various materials, including phase-change materials in the walls [76], timber buildings [77] and utilizing recycled materials [78].
There were several studies on heating and cooling [79] including topics of ventilative cooling [80] and reducing thermal bridging [81]. Thermal performance was documented in several studies [82,83] and airtightness in wooden prefabricated walls was presented in a study by Piggot-Navarrete et al. [84]. An energy-driven design of lightweight steel-framed modular construction was studied by Rodrigues et al. [85].
b.
Environmental hazards: In a paper by Kubeckova et al. [86], the air quality of renovated residential buildings, constructed between 1950 and 1990 using panel construction, was examined in the Czech Republic and Europe. Although the systematic renovations of these buildings led to energy savings, the study reported that this has also contributed to the hygienic damage of housing units and an unhealthy interior microclimate. Thus, this paper examines the interaction between indoor air quality and renovated residential panel buildings.
The next set of papers consider the impact of climate change on future energy demands [87,88], overheating [89], and new construction [90]. There are also studies of radiation exposure to prefabricated modular construction [91,92]. Lastly, the effects of fire hazards were analyzed, including (1) recovery time after a wildfire [93], (2) fire performance of a bearing light gauge steel frame (LSF) wall system [94], (3) heat release and flame propagation of glass fiber-reinforced polymer (GFRP) composite facades [95], and (4) fire performance of organoclay/glass fiber-reinforced polymer composites [96].

4.5. Factory Build

  • Supply chain: In the Kitchener/Waterloo region of Canada, one study developed a framework to source more reclaimed construction materials. Applying their framework into a multi-residential building design to source reclaimed window and door components, the framework selected 35% reclaimed construction materials and 65% new materials [97]. There are other studies that document the viability of CLT sourcing in the United Kingdom [98], as well as procurement options in specific countries, such as Australia [99] and New Zealand [100,101].
  • Working conditions: Skilled labor availability is an important part of prefabricated and modular residential construction. Two types of studies were identified: one that identified the issues of worker availability and another that analyzed multi-worker performance. A study conducted in New Zealand stated that the demand for housing has outgrown the availability of skilled workers; the study aimed to identify these issues within the prefabricated residential constructor sector [102]. In another study [103], a new methodology was developed to model a complex multi-worker physical process to obtain ergonomic and/or performance analysis.
  • Quality Assurance–Quality Control: There are a few studies that evaluated the quality of the prefabricated modular construction [104,105] and monitored damage [106,107] to improve structural stability and optimize the building maintenance management, resulting in reduced economic and environmental costs for renovations.
  • Waste management: Generating waste from construction and demolition is a critical problem, as this is disposed of in landfills. A few studies aimed to reduce waste and to increase waste recycling. Seeboo conducted a study with concrete and masonry unit buildings [108] to determine how much construction and demolition waste (CDW) was generated in the measurements of blocks. By adjusting the floor layout and the building dimensions, the CDW of 16.29% reduced 6.59% in cut-off waste. Another study has quantified construction waste in the early design of Spanish residential buildings utilizing BIM [109] to increase waste recycling. Lastly, a case study in China found that the construction waste of prefabricated systems reduced waste when compared with conventionally built systems [110].
  • Optimization in productivity: Effects of productivity on the assembly line of prefabricated and modular buildings can result in significant financial savings. Studies have documented optimizing productivity (1) in component assemblies, such as doors [111]; (2) through scheduling [112]; (3) stacking sequence of precast concrete slab [113] or lean approach to prefabricated wall stacking, sequencing, and locating [114]; (4) logistics in operation (manufacturing, storage, and assembly) [115]; or (5) through automation in operations [116]. There was also a case study that compared prefabricated construction productivity to that of conventional construction [117,118], and a study in China that combined the advantages of prefabricated construction with traditional methods [119]
  • Scheduling: Similarly, the effects of good scheduling can result in substantial financial savings. A study by Gao et al. studied a residential building project with precast components: by facilitating dynamic planning, scheduling, optimization, and progress monitoring [120], they reported improved efficiency and effectiveness of project execution. Another study [121] aimed to develop a task-based expert system for progress scheduling for the reinforced concrete construction of modular multistory buildings.
  • Cost: The prefabricated costs were generally reported as lower and specific savings were reported in materials [28,78], time [70,117,122], labor, waste [110], and energy or operational costs [10,11,72,78]. Some studies reported cost savings from the use of specific components such as lightweight concrete with recycled materials of granulated expanded glass aggregates (GEGAs) [122] or prefabricated ultra-shallow and lightweight flooring system [21]. There were other studies that reported a higher cost with other advantages. In a case study of a prefabricated modular residential building conducted in South Korea, it was reported that the direct construction cost of the modular construction was 8% more expensive compared to conventional reinforced concrete construction [123] but had reduced environmental impacts.
  • Modular bathroom pods: Prefabricated bathroom pods offer several advantages including time and cost savings, streamlining the construction process and improved quality control. A study in Melbourne, Australia [124], examined these concepts through a semi-modular flexible solution for constructing a residential bathroom “wet” wall in high-rise buildings, where the walls were assembled at a factory, and later installed in the building. The study noted efficiencies in time, labor, and materials, compared to conventional construction. On the other hand, a study in the United Kingdom (U.K.) described the challenges of adopting prefabricated bathrooms [125,126]. This study stated that the lack of use in the U.K. is due to the perception that the maintenance is difficult and expensive. This study conducted cost comparisons of precast concrete modules, glass-reinforced polyester (GRP) modules, and conventional bathrooms. Their results showed that the GRP modules required the lowest maintenance costs, while conventional bathrooms were significantly more expensive to maintain. Another use for prefabricated bathrooms was in rural areas, where finding the best Mechanical, Electrical, and Plumbing (MEP) systems was difficult. A study was conducted in a rural and isolated region in Nunavik, Quebec; they found that a modularized MEP system demonstrated a reduction in installation cost and an increase in local job creation [127].

4.6. Installation

  • Assembly: Once the prefabricated modular structures are constructed at a factory, they are delivered for on-site assembly. At this stage, studies were found in (1) erection or assembly methods, (2) guidelines for hybrid modular buildings that allow module interchangeability and fast plug-in and plug-out methods, (3) site layouts for hoisting efficiency, (4) jobsite safety, and (5) foundations.
To effectively assemble the prefabricated modular buildings, a study in Tehran, Iran [128], examined various production and erection methods that reduced the production and erection time and cost. A study by Di Pasquale et al. aimed to define guidelines and considerations for hybrid modular buildings, where interchangeable and fast plug-in and plug-out modular systems can be installed next to a permanent building [129]. Another study explored construction site layout plans that optimized safety, transportation cost, and hoisting efficiency [130]. Jobsite safety was explored using various perspectives, including safety management [131], management factors on unsafe behaviors [132], and assessing injury risks [133]. Research on foundations was obtained on the topics of prefabricated concrete foundations [134,135], carbon emission-based foundation options for prefabricated construction [136], base-isolated foundations [137], and integrated strip foundation systems that are designed to be handled on site by one person [138].
b.
Delivery optimization: In prefabricated construction, transportation is essential in linking a factory to a project’s jobsite. In these projects, transportation is often considered a fixed-cost, but a study by Ahn and Al-Hussein [139] developed a GPS-data-based prediction model to estimate the number of trailers and duration.
c.
Disassembly: Although there is an emphasis on circularity principles in prefabricated design, there is a lack of written guidance for the disassembly or recycling of the construction materials. A study by Torres et al. [140] deconstructed the disassembly actions, identified the level of difficulty, and classified the recovered materials into three categories: reusable, recyclable, and waste. They found that the lack of design criteria or information for disassembly significantly limited the system’s circularity, as it prioritizes assembly speed and energy performance. This study aimed to establish a design of lightweight timber-framed panel design toward systems more aligned with circularity principles. In another study [141], the authors discussed ways of repurposing precast modules in new layouts with the “design for disassembly” concept.

4.7. Policy, Possibilities, and Challenges

  • Policies: To build prefabricated homes, various policies should be implemented to reach housing, affordability, and sustainability goals. Various papers described the current policies, initiatives, or ways to implement guidelines in Europe [142], such as the United Nations’ Waste Framework Directive aiming at reuse instead of recycling [143], Asia [144,145,146,147], the United States [148], and Australia [149].
  • Possibilities and challenges: A study by Kirscheke and Sietko explored the potential of prefabricated construction in Poland and Germany [150], while various papers indicated that education or enablers need to be implemented to realize the potential of prefabricated construction in Egypt [151], China [152], Malaysia [153], and Hong Kong [154].
Conversely, some papers discussed other barriers to the adoption of prefabricated construction such as the knowledge gap and undesirability in developing countries [155], Malaysia [156], Egypt [157], Australia [158], and China [159]. In developing countries, the top three adoption barriers for prefabricated construction were cost, coordination, and standards. There were also technical and practical barriers, inflexibility and supply chain barriers, abilities and awareness barriers, and societal and desire-related barriers [155]. Another study identified infrastructure limitations, economic inequalities, and resource constraints as major barriers to the adoption of prefabricated construction in Egypt [157].
Some papers addressed both the possibilities and challenges in Australia [160,161].
One study by Mandoki and Orr discussed buyer preferences in Hungary among young adults [162]. To examine Hungarian young adults’ (aged between 18 and 40) attitude towards buying prefabricated buildings and living in environments with reduced diversity, 100 people were surveyed. Their results showed that the former aversion towards industrialized housing solutions no longer exists among young adults in Hungary. They were only negative about having to see dwellings identical to theirs on a regular basis. Thus, the researchers found non-uniform standardization to be a suitable tool to provide affordable housing in Hungary.
A study by Viriezky et al. explored the viability of prefabricated construction in Indonesia [163]. Another study discussed the challenges in opening factories in sub-Saharan Africa [164], such as a lack of sufficient development and participation from regional contractors. To boost prefabrication construction industry in sub-Saharan Africa, the study identified significant factors influencing the establishment of prefabrication factories. Chinese and international experiences were leveraged to encourage international knowledge transfer. Lastly, a study by Karthikeyan et al. [165] described India’s current practices in prefabricated versus conventional construction.

4.8. Case Studies

  • Europe: There were various case studies conducted on prefabricated housing including new and existing projects in London [166], the Soviet Union [167], Finland [168], and Italy [169].
  • Asia: In Asia, there were case studies reported from China [170,171], Malaysia [172], and South Korea on rental housing development [173].
  • Canada: A case study was reported from Quebec, Canada [174].
  • Other: Other case studies consisted of (1) post-disaster housing, including earthquakes [175,176]; (2) senior affordable housing [177]; (3) temporary housing for refugees [178] and migrant workers in China [179]; (4) tiny portable housing in the Netherlands [180]; (5) container homes [181]; and (6) net-zero buildings [182,183].

5. Opportunities and Challenges

So far, this paper has presented the current status of prefabricated modular construction through a systematic literature review. Now, the aforementioned section will be further summarized with discussions of emerging trends, future opportunities, and challenges.

5.1. Emerging Trends

Mass Timber: Currently, there are emerging trends in mass timber within the construction industry; it is being used for taller building designs, and the material has been advocated for its focus on sustainability such as carbon sequestration. Furthermore, there have been advancements in digital design and prefabrication using Computer Numerical Control (CNC) technologies, that facilitate the use of mass timber in mass production.
There are also innovations in new mass timber materials, such as transparent mass timber. This is created by removing or modifying the lignin in wood and replacing it with a polymer, so that the material allows light to pass through. There are also new mass timber hybrid systems, such as post-tensioned timber or systems that combine mass timber with steel or reinforced concrete to leverage the strengths of each material.
For additional resources, TallWood Design Institute (TDI) is a partnership between Oregon State University (OSU) and the University of Oregon (UO) that focuses on mass timber and wood products building solution initiatives, education, and research collaborations; many new initiatives can be found there. Moreover, Mass Timber+ is an Offsite Construction conference in the United States that has a primary focus on mass timber and hybrid solutions.
AI in the Construction Industry: The use of artificial intelligence (AI) in the construction industry is also an emerging field. A study conducted by Abioye et al. [184] defined its application areas within the construction industry including health and safety, scheduling, cost estimation, legal (contracts and conflict management), supply chain and logistics, site monitoring and performance evaluation, material management, offsite assembly, plant and equipment management, project planning, knowledge management, design, risk management, temporary structures, bids/tenders, energy management, and sustainability.

5.2. Opportunities

Modular Connections: As new materials, components, and systems are developed for prefabricated modular homes, new connections are also needed. There are connections (1) between the modules and (2) between the modules and the foundations. Since many contractors lack experience working with new materials and prefabricated elements or buildings, there is a need to develop connections that are simple and easy for installation and can meet load-carrying capacity and structural performance under appropriate loads.
Lack of Research: As shown in Table 2 and Section 4, some areas of prefabricated modular housing such as transportation did not yield many research articles. Some potential topics for this area include modular delivery methods including various types of truck availability, single-use weather wrap materials for the modules, optimized routes, contractors’ preferred delivery methods versus sustainable options, availability of sustainable trucking options, and compatibility with permits.
Commercialization of Intellectual Property: The new developments in prefabricated building materials, components, systems, and accessories (automated blinds or home integration systems) shape and promote new startup opportunities to commercialize the developing intellectual property. For the entrepreneurs in the U.S., there are many startup incubators throughout the country to accelerate the commercialization of new technology and job creation.
Entrepreneurship: For large-scale entrepreneurs in the U.S., there is currently funding available to develop manufacturing factories through the Department of Energy Loan Programs Office (DOE LPO) Title 17 Clean Energy Financing. The DOE LPO provides access to debt capital for high-impact energy and manufacturing processes. There are two applications: (1) Part I: Concept and Viability, where the evaluations will focus on whether the applicant is able to achieve sufficient sales of its products to sustain long-term existence; and (2) Part II: Additional Resources and Due Diligence, where the business plan and financial plans will be evaluated.

5.3. Challenges

Adopting prefabricated modular houses into the residential construction sector will require a balance of demand, positive perception, and effective policy to implement these projects at scale. Below are several challenges that will need to be addressed during implementation.
Lack of knowledge and skillsets: One of the most fundamental barriers to prefabricated modular construction is that it is not well understood. From developers to tradespeople, with key professionals like architects, engineers, and regulators, and with home buyers, there is a general lack of awareness and technical background to design, finance, check, and construct these homes. Some of the challenges that can arise are potential incompatible procurement approaches and delays in the design, review, and approval of projects.
Policy: To effectively adopt prefabricated modular construction at mass scale, a streamlined regulatory approval will be needed, including clear building codes, streamlined plan approvals and inspections, and guidelines for the foundations.
Perception: There is a potential that people may view prefabricated homes as having lower quality, durability, and lower resale values than conventional homes. More research will need to be conducted to understand the current perception and efforts will need to be made to potentially enhance the perception of prefabricated homes.

5.4. Limitations

The author recognizes that there are important aspects of prefabricated modular homes that were not addressed in this paper, including but not limited to home integration systems, photovoltaic and energy storage systems, or other aspects of sustainability such as water conservation, due to the limitations in the keyword search. For example, photovoltaic and energy storage systems will likely appear in a “residential construction” search, but not in a “prefabricated modular manufactured residential construction” search. Thus, a future study that incorporates these topics together would be recommended. Furthermore, Social Sciences and Humanities were excluded from this literature review, but in a future study, this would potentially offer further insight into perception challenges. Also, there are many noteworthy conference papers that document the advancements in prefabricated and modular housing, such as a small-mass timber prototype house [185], that were not included in this literature review.

5.5. Future Work

Global Comparisons: A comparative study of foreign policies as well as current design and construction practices in various regions, such as Europe, Asia, Australia, the U.S., and so forth, will greatly help the implementation of prefabricated modular residential housing internationally.
Quantitative Analysis: A meta-analysis of the sections mentioned in Table 2, such as LCA results in carbon emissions, prefabricated construction cost savings, time savings, energy performance, and cost, will be helpful in quantifying the average percentage reductions across the vast literature.

6. Conclusions

This study contributes to the existing body of prefabricated and modular residential construction literature by integrating its historical background, current market data, policy, and scholarly research. Despite the rising popularity of prefabricated and modular construction, the literature on this construction method has not been synthesized for a comprehensive summary.
First, a thorough literature review of the prefabricated and modular residential construction was conducted. A database search was conducted using SCOPUS, from 1970 to the present (2025). Trends in the literature were described. The sub-fields were identified as (1) architecture; (2) sustainability; (3) structural; (4) energy or environment; (5) factory build; (6) installation; (7) policy, possibilities and challenges; and (8) case studies, to organize and to present the qualitative summaries.
Next, the historical and current market trends in the new single-family house industry were analyzed between 1994 and 2023, for site-built versus prefabricated (panelized, modular, and manufactured) construction in the United States. Since 2003, the prefabricated new single-family house industry has consistently captured between 10% and 15% of the U.S. market share. The regulatory processes to receive building permits through the U.S. Department of Housing and Urban Development (HUD) was also presented. The emerging fields within the construction industry were acknowledged as mass timber and the use of artificial intelligence, as they are penetrating the prefabricated and modular housing industry. The opportunities were noted for new materials, components, systems, and connections, as well as the areas that returned a smaller number of articles and needed further research, such as delivery methods and optimizations. There is an immense opportunity to commercialize intellectual property as well as entrepreneurship opportunities in mass production. The three main challenges were noted: the potential lack of awareness or knowledge in this field among the stakeholders including designers, tradespeople, developers, and regulators, as well as home buyers; a lack of streamlined policy; and possible negative perceptions. The incorporation of prefabricated modular houses into the residential construction sector will require a balance of demand, positive perception, and effective policy that will define a pathway for implementation.

Funding

This research received no external funding.

Conflicts of Interest

The author declares no conflicts of interest.

References

  1. Gibb, A. Off-Site Fabrication: Prefabrication, Pre-Assembly and Modularisation; John Wiley & Sons: Hoboken, NJ, USA, 1999. [Google Scholar]
  2. Gibb, A.; Isack, F. Re-engineering through pre-assembly: Client expectations and drivers. Build. Res. Inf. 2003, 31, 146–160. [Google Scholar] [CrossRef]
  3. Lawson, M.; Ogden, R.; Goodier, C. Design in Modular Construction. Technology and Engineering; CRC Press: Boca Raton, FL, USA, 2014. [Google Scholar]
  4. HUD. Manufactured Housing Homeowner Resources, U.S. Department of Housing and Urban Development. Available online: https://www.hud.gov/hud-partners/manufactured-home-resources (accessed on 11 May 2025).
  5. HCD. Manufactured & Mobilehomes, California Department of Housing and Community Development. Available online: https://www.hcd.ca.gov/manufactured-and-mobilehomes (accessed on 11 May 2025).
  6. Caltrans. Transportation Permits (Oversize/Overweight Vehicles). Available online: https://dot.ca.gov/programs/traffic-operations/transportation-permits (accessed on 11 May 2025).
  7. U.S. Census Bureau. Construction Method Completed (Site Built, Panelized, Modular) and Shipped Manufactured Numbers. Available online: https://www.census.gov/ (accessed on 11 May 2025).
  8. Pibal, S.S.; Khoss, K.; Kovacic, I. Framework of an algorithm-aided BIM approach for modular residential building information models. Int. J. Archit. Comput. 2022, 20, 777–800. [Google Scholar] [CrossRef]
  9. Alwisy, A.; Bu Hamdan, S.; Barkokebas, B.; Bouferguene, A.; Al-Hussein, M. A BIM-based automation of design and drafting for manufacturing of wood panels for modular residential buildings. Int. J. Constr. Manag. 2019, 19, 187–205. [Google Scholar] [CrossRef]
  10. Chorak, A.; Mahdaoui, M.; Ben Taher, M.A.; Kaitouni, S.I.; Afass, A.; Ouardouz, M.; Ahachad, M. Integrating active and passive solar strategies in modular residential positive energy building in semi-arid climates: Insights from the TDART project. Energy Rep. 2025, 13, 1239–1265. [Google Scholar] [CrossRef]
  11. Ozarisoy, B.; Altan, H. A novel methodological framework for the optimisation of post-war social housing developments in the South-eastern Mediterranean climate: Policy design and life-cycle cost impact analysis of retrofitting strategies. Sol. Energy 2021, 225, 517–560. [Google Scholar] [CrossRef]
  12. Fan, Z.; Liu, J.; Wang, L.; Cheng, G.; Liao, M.; Liu, P.; Chen, Y.F. Automated layout of modular high-rise residential buildings based on genetic algorithm. Autom. Constr. 2023, 152, 104943. [Google Scholar] [CrossRef]
  13. Wei, Y.; Choi, H.; Lei, Z. A generative design approach for modular construction in congested urban areas. Smart Sustain. Built Environ. 2022, 11, 1163–1181. [Google Scholar] [CrossRef]
  14. Liang, N.; Yu, M. Research on Design Optimization of Prefabricated Residential Houses Based on BIM Technology. Sci. Program. 2021, 2021, 1422680. [Google Scholar] [CrossRef]
  15. Salama, T.; Salah, A.; Moselhi, O.; Al-Hussein, M. Near optimum selection of module configuration for efficient modular construction. Autom. Constr. 2017, 83, 316–329. [Google Scholar] [CrossRef]
  16. Kamali, M.; Hewage, K.; Milani, A.S. Life cycle sustainability performance assessment framework for residential modular buildings: Aggregated sustainability indices. Build. Environ. 2018, 138, 21–41. [Google Scholar] [CrossRef]
  17. Kamali, M.; Hewage, K.; Rana, A.; Alam, S.; Sadiq, R. Advancing urban resilience with modular construction: An integrated sustainability assessment framework. Resilient Cities Struct. 2025, 4, 46–68. [Google Scholar] [CrossRef]
  18. Radziejowska, A.; Sobotka, A. Assessment of large-panel prefabricated buildings in the social aspect of sustainable construction. Arch. Civ. Eng. 2021, 67, 93–108. [Google Scholar]
  19. Volk, R.; Steins, J.J.; Kreft, O.; Schultmann, F. Life cycle assessment of post-demolition autoclaved aerated concrete (AAC) recycling options. Resour. Conserv. Recycl. 2023, 188, 106716. [Google Scholar] [CrossRef]
  20. Antwi-Afari, P.; Ng, S.T.; Chen, J.; Oluleye, B.I.; Antwi-Afari, M.F.; Ababio, B.K. Enhancing life cycle assessment for circular economy measurement of different case scenarios of modular steel slab. Build. Environ. 2023, 239, 110411. [Google Scholar] [CrossRef]
  21. Ahmed, I.M.; Tsavdaridis, K.D. Life cycle assessment (LCA) and cost (LCC) studies of lightweight composite flooring systems. J. Build. Eng. 2018, 20, 624–633. [Google Scholar] [CrossRef]
  22. Maoduš, N.; Agarski, B.; Kočetov Mišulić, T.; Budak, I.; Radeka, M. Life cycle and energy performance assessment of three wall types in south-eastern Europe region. Energy Build. 2016, 133, 605–614. [Google Scholar] [CrossRef]
  23. Lehmann, S. Low carbon construction systems using prefabricated engineered solid wood panels for urban infill to significantly reduce greenhouse gas emissions. Sustain. Cities Soc. 2013, 6, 57–67. [Google Scholar] [CrossRef]
  24. Xu, A.; Zhu, Y.; Wang, Z.; Zhao, Y. Carbon emission calculation of prefabricated concrete composite slabs during the production and construction stages. J. Build. Eng. 2023, 80, 107936. [Google Scholar] [CrossRef]
  25. Wen, X.; Teng, Y.; Shen, G.Q. Extended end-of-life carbon assessment and savings: A case study of steel-framed modular buildings in Hong Kong. Build. Environ. 2024, 266, 112056. [Google Scholar] [CrossRef]
  26. Antwi-Afari, P.; Ng, S.T.; Chen, J.; Zheng, X.M. Determining the impacts and recovery potentials of a modular designed residential building using the novel LCA-C2C–PBSCI method. J. Clean. Prod. 2022, 378, 134575. [Google Scholar] [CrossRef]
  27. Monahan, J.; Powell, J.C. An embodied carbon and energy analysis of modern methods of construction in housing: A case study using a lifecycle assessment framework. Energy Build. 2011, 43, 179–188. [Google Scholar] [CrossRef]
  28. Aye, L.; Ngo, T.; Crawford, R.H.; Gammampila, R.; Mendis, P. Life cycle greenhouse gas emissions and energy analysis of prefabricated reusable building modules. Energy Build. 2012, 47, 159–168. [Google Scholar] [CrossRef]
  29. Gan, J.; Li, K.; Li, X.; Mok, E.; Ho, P.; Law, J.; Lau, J.; Kwok, R.; Yau, R. Parametric BIM-Based Lifecycle Performance Prediction and Optimisation for Residential Buildings Using Alternative Materials and Designs. Buildings 2023, 13, 904. [Google Scholar] [CrossRef]
  30. Wang, H.; Zhao, L.; Zhang, H.; Liu, P.; Sun, B.; Hou, K. Building Information Modeling Assisted Carbon Emission Impact Assessment of Prefabricated Residential Buildings in the Design Phase: Case Study of a Chinese Building. Int. J. Photoenergy 2022, 2022, 2275642. [Google Scholar] [CrossRef]
  31. Atta, I.; Bakhoum, E.S.; Marzouk, M.M. Digitizing material passport for sustainable construction projects using BIM. J. Build. Eng. 2021, 43, 103233. [Google Scholar] [CrossRef]
  32. Li, X.-J.; Xie, W.-J.; Xu, L.; Li, L.-L.; Jim, C.Y.; Wei, T.-B. Holistic life-cycle accounting of carbon emissions of prefabricated buildings using LCA and BIM. Energy Build. 2022, 266, 112136. [Google Scholar] [CrossRef]
  33. Ding, Z.; Liu, S.; Luo, L.; Liao, L. A building information modeling-based carbon emission measurement system for prefabricated residential buildings during the materialization phase. J. Clean. Prod. 2020, 264, 121728. [Google Scholar] [CrossRef]
  34. Wong, J.K.-W.; Kuan, K.-L. Implementing ‘BEAM Plus’ for BIM-based sustainability analysis. Autom. Constr. 2014, 44, 163–175. [Google Scholar] [CrossRef]
  35. Lupíšek, A.; Nehasilová, M.; Mančík, Š.; Železná, J.; Ružička, J.; Fiala, C.; Tywoniak, J.; Hájek, P. Design strategies for buildings with low embodied energy. Proc. Inst. Civ. Eng. Eng. Sustain. 2017, 170, 65–80. [Google Scholar] [CrossRef]
  36. Tian, Y.; Spatari, S. Environmental life cycle evaluation of prefabricated residential construction in China. J. Build. Eng. 2022, 57, 104776. [Google Scholar] [CrossRef]
  37. Abey, S.T.; Anand, K.B. Embodied Energy Comparison of Prefabricated and Conventional Building Construction. J. Inst. Eng. (India) Ser. A 2019, 100, 777–790. [Google Scholar] [CrossRef]
  38. Kamali, M.; Hewage, K.; Sadiq, R. Conventional versus modular construction methods: A comparative cradle-to-gate LCA for residential buildings. Energy Build. 2019, 204, 109479. [Google Scholar] [CrossRef]
  39. Du, Q.; Bao, T.; Li, Y.; Huang, Y.; Shao, L. Impact of prefabrication technology on the cradle-to-site CO2 emissions of residential buildings. Clean Technol. Environ. Policy 2019, 21, 1499–1514. [Google Scholar] [CrossRef]
  40. Mao, C.; Shen, Q.; Shen, L.; Tang, L. Comparative study of greenhouse gas emissions between off-site prefabrication and conventional construction methods: Two case studies of residential projects. Energy Build. 2013, 66, 165–176. [Google Scholar] [CrossRef]
  41. Quale, J.; Eckelman, M.J.; Williams, K.W.; Sloditskie, G.; Zimmerman, J.B. Construction Matters: Comparing Environmental Impacts of Building Modular and Conventional Homes in the United States. J. Ind. Ecol. 2012, 16, 243–253. [Google Scholar] [CrossRef]
  42. Cao, X.; Li, X.; Zhu, Y.; Zhang, Z. A comparative study of environmental performance between prefabricated and traditional residential buildings in China. J. Clean. Prod. 2015, 109, 131–143. [Google Scholar] [CrossRef]
  43. Balasbaneh, A.T.; Sher, W. Comparative sustainability evaluation of two engineered wood-based construction materials: Life cycle analysis of CLT versus GLT. Build. Environ. 2021, 204, 108112. [Google Scholar] [CrossRef]
  44. Owolabi, D.; Loss, C.; Zhou, J. Vibration Properties and Serviceability Performance of a Modular Cross-Laminated Timber-Steel Composite Floor System. J. Struct. Eng. 2023, 149, 4023171. [Google Scholar] [CrossRef]
  45. Loss, C.; Davison, B. Innovative composite steel-timber floors with prefabricated modular components. Eng. Struct. 2017, 132, 695–713. [Google Scholar] [CrossRef]
  46. Estévez-Cimadevila, J.; Suárez-Riestra, F.; Martín-Gutiérrez, E.; Otero-Chans, D. Full scale testing of timber-concrete composite floors in an overhanging configuration. Eng. Struct. 2023, 291, 116460. [Google Scholar] [CrossRef]
  47. Martín-Gutiérrez, E.; Estévez-Cimadevila, J.; Suárez-Riestra, F.; Otero-Chans, D. Flexural behaviour of a new timber-concrete composite structural flooring system. Full scale testing. J. Build. Eng. 2023, 64, 105606. [Google Scholar] [CrossRef]
  48. John, K.; Rahman, S.; Kafle, B.; Weiss, M.; Hansen, K.; Elchalakani, M.; Udawatta, N.; Hosseini, M.R.; Al-Ameri, R. Structural Performance Assessment of Innovative Hollow Cellular Panels for Modular Flooring System. Buildings 2022, 12, 57. [Google Scholar] [CrossRef]
  49. Skarżyński, Ł.; Marzec, I.; Tejchman, J. Experiments and numerical analyses for composite RC-EPS slabs. Comput. Concr. 2017, 20, 689–704. [Google Scholar] [CrossRef]
  50. Li, X.; Ashraf, M.; Subhani, M.; Kremer, P.; Kafle, B.; Ghabraie, K. Experimental and numerical study on bending properties of heterogeneous lamella layups in cross laminated timber using Australian Radiata Pine. Constr. Build. Mater. 2020, 247, 118525. [Google Scholar] [CrossRef]
  51. Chen, S.; Peng, X.; Lin, C.; Zhang, Y.; Hu, H.; He, Z. Experimental and Analytical Studies of Prefabricated Composite Steel Shear Walls under Low Reversed Cyclic Loads. Materials 2022, 15, 5737. [Google Scholar] [CrossRef] [PubMed]
  52. Muñoz, P.; Dominguez, D.; Morales, M.P.; Muñoz, L.; Sanchez-Vazquez, R. The effect of infill walls made by eco materials on mechanical response, energy performance and CO2 print of residential and non-residential low-rise buildings. Energy Build. 2021, 243, 110996. [Google Scholar] [CrossRef]
  53. Beaudry, K.; MacDougall, C. Structural performance of non-plastered modular straw bale wall panels under transverse and gravity loads. Constr. Build. Mater. 2019, 216, 424–439. [Google Scholar] [CrossRef]
  54. Mortazavi, M.; Sharafi, P.; Kildashti, K.; Samali, B. Prefabricated hybrid steel wall panels for mid-rise construction in seismic regions. J. Build. Eng. 2020, 27, 100942. [Google Scholar] [CrossRef]
  55. Manalo, A. Structural behaviour of a prefabricated composite wall system made from rigid polyurethane foam and Magnesium Oxide board. Constr. Build. Mater. 2013, 41, 642–653. [Google Scholar] [CrossRef]
  56. García-Alvarado, R.; Moroni-Orellana, G.; Banda, P. Development of Variable Residential Buildings with 3D-Printed Walls. Buildings 2022, 12, 1796. [Google Scholar] [CrossRef]
  57. Zada, V.; Belda, K. Structure Design and Solution of Kinematics of Robot Manipulator for 3D Concrete Printing. IEEE Trans. Autom. Sci. Eng. 2022, 19, 3723–3734. [Google Scholar] [CrossRef]
  58. Alabbasi, M.; Agkathidis, A.; Chen, H. Robotic 3D printing of concrete building components for residential buildings in Saudi Arabia. Autom. Constr. 2023, 148, 104751. [Google Scholar] [CrossRef]
  59. Knyziak, P. Failure mechanisms of prefabricated multi-family buildings under gas explosions. Eng. Fail. Anal. 2025, 174, 109548. [Google Scholar] [CrossRef]
  60. Yagust, V.I.; Yankelevsky, D.Z. On potential progressive failure of large-panel buildings. J. Struct. Eng. 2007, 133, 1591–1603. [Google Scholar] [CrossRef]
  61. Maharjan, R.; Kuai, L.; Vessby, J.; Ormarsson, S. An experimental analysis of full scale light-frame timber modules. Eng. Struct. 2024, 304, 117617. [Google Scholar] [CrossRef]
  62. Malesza, J.; Miedzialowski, C.; Ustinovichius, L. Analytical model tracing deformations in multistorey large timber panel building. J. Civ. Eng. Manag. 2019, 25, 19–26. [Google Scholar] [CrossRef]
  63. Guan, Y.; Zhou, X.; Yao, X.; Shi, Y. Seismic performance of prefabricated sheathed cold-formed thin-walled steel buildings: Shake table test and numerical analyses. J. Constr. Steel Res. 2020, 167, 105837. [Google Scholar] [CrossRef]
  64. Eren, O. A comparison with light steel frame constructional building systems for housing. World Appl. Sci. J. 2013, 25, 354–368. [Google Scholar] [CrossRef]
  65. Lawson, R.M.; Ogden, R.G. Hybrid’ light steel panel and modular systems. Thin-Walled Struct. 2008, 46, 720–730. [Google Scholar] [CrossRef]
  66. Petrovic-Kotur, S.P.; Pavic, A.P. Vibration analysis and FE model updating of lightweight steel floors in full-scale prefabricated building. Struct. Eng. Mech. 2016, 58, 277–300. [Google Scholar] [CrossRef]
  67. Hou, C.; Qi, Q.; Peng, J. Performance of inter-module connection with a pegged tenon for composite modular buildings with CFST columns. Eng. Struct. 2025, 329, 119824. [Google Scholar] [CrossRef]
  68. Ayansola, G.S.; Tannert, T.; Vallee, T. Glued-in multiple steel rod connections in cross-laminated timber. J. Adhes. 2022, 98, 810–826. [Google Scholar] [CrossRef]
  69. Tomasi, R.; Smith, I. Experimental characterization of monotonic and cyclic loading responses of CLT Panel-To-Foundation Angle Bracket Connections. J. Mater. Civ. Eng. 2015, 27, 04014189. [Google Scholar] [CrossRef]
  70. Julien, E.; Blanchet, P.; Gosselin, L. Case-Study: Fully Prefabricated Wood Wall Connection to Improve Building Envelope and On-Site Efficiency. Buildings 2022, 12, 2185. [Google Scholar] [CrossRef]
  71. Fedorczak-Cisak, M.; Kowalska-Koczwara, A.; Stecz, P.; Shymanska, A.; Palmieri, D.O. Experimental Analysis of Thermal Performance and Evaluation of Vibration and Utility Function for the Readaptation of a Residential Building in an Experimental Housing Complex. Appl. Sci. 2024, 14, 8727. [Google Scholar] [CrossRef]
  72. Margani, G.; Evola, G.; Tardo, C.; Marino, E.M. Energy, seismic, and architectural renovation of RC framed buildings with prefabricated timber panels. Sustainability 2020, 12, 4845. [Google Scholar] [CrossRef]
  73. Szulc, J.; Piekarczuk, A. Diagnostics and technical condition assessment of large-panel residential buildings in Poland. J. Build. Eng. 2022, 50, 104144. [Google Scholar] [CrossRef]
  74. Zhou, Q.; Xue, F. Pushing the boundaries of modular-integrated construction: A symmetric skeleton grammar-based multi-objective optimization of passive design for energy savings and daylight autonomy. Energy Build. 2023, 296, 113417. [Google Scholar] [CrossRef]
  75. Zhu, H.; Hong, J.; Shen, G.Q.; Mao, C.; Zhang, H.; Li, Z. The exploration of the life-cycle energy saving potential for using prefabrication in residential buildings in China. Energy Build. 2018, 166, 561–570. [Google Scholar] [CrossRef]
  76. Jia, J.; Liu, B.; Ma, L.; Wang, H.; Li, D.; Wang, Y. Energy saving performance optimization and regional adaptability of prefabricated buildings with PCM in different climates. Case Stud. Therm. Eng. 2021, 26, 101164. [Google Scholar] [CrossRef]
  77. Dodoo, A.; Gustavsson, L.; Sathre, R. Lifecycle primary energy analysis of low-energy timber building systems for multi-storey residential buildings. Energy Build. 2014, 81, 84–97. [Google Scholar] [CrossRef]
  78. Gao, W.; Ariyama, T.; Ojima, T.; Meier, A. Energy impacts of recycling disassembly material in residential buildings. Energy Build. 2001, 33, 553–562. [Google Scholar] [CrossRef]
  79. Martín-Gómez, C.; Ibáñez-Puy, M.; Bermejo-Busto, J.; Fernández, J.A.S.; Ramos, J.C.; Rivas, A. Thermoelectric cooling heating unit prototype. Build. Serv. Eng. Res. Technol. 2016, 37, 431–449. [Google Scholar] [CrossRef]
  80. Hu, Y.; Ai, Z.; Wargocki, P.; Chang, Y.; Zhang, G. Ventilative cooling of residential buildings in China: A simulation-based evaluation of lightweight modular integrated constructions considering climate change. Energy Build. 2024, 317, 114382. [Google Scholar] [CrossRef]
  81. Höglund, T.; Burstrand, H. Slotted steel studs to reduce thermal bridges in insulated walls. Thin-Walled Struct. 1998, 32, 81–109. [Google Scholar] [CrossRef]
  82. Zou, D.; Sun, C. Analysis for thermal performance and energy-efficient technology of prefabricated building walls. Int. J. Heat Technol. 2020, 38, 269–273. [Google Scholar] [CrossRef]
  83. Briones-Llorente, R.; Calderón, V.; Gutiérrez-González, S.; Montero, E.; Rodríguez, Á. Testing of the integrated energy behavior of sustainable improved mortar panels with recycled additives by means of energy simulation. Sustainability 2019, 11, 3117. [Google Scholar] [CrossRef]
  84. Piggot-Navarrete, J.; Blanchet, P.; Cogulet, A.; Cabral, M.R. Hygrothermal and airtightness performance assessment of prefabricated lightweight wall systems for cold climates. J. Build. Eng. 2024, 98, 111500. [Google Scholar] [CrossRef]
  85. Rodrigues, E.; Soares, N.; Fernandes, M.S.; Gaspar, A.R.; Gomes, Á.; Costa, J.J. An integrated energy performance-driven generative design methodology to foster modular lightweight steel framed dwellings in hot climates. Energy Sustain. Dev. 2018, 44, 21–36. [Google Scholar] [CrossRef]
  86. Kubečková, D.; Kraus, M.; Šenitková, I.J.; Vrbová, M. The indoor microclimate of prefabricated buildings for housing: Interaction of environmental and construction measures. Sustainability 2020, 12, 10119. [Google Scholar] [CrossRef]
  87. Piggot-Navarrete, J.; Blanchet, P.; Cabral, M.R.; Cogulet, A. Impact of climate change on the energy demand of buildings utilizing wooden prefabricated envelopes in cold weather. Energy Build. 2025, 338, 115714. [Google Scholar] [CrossRef]
  88. Chetouni, A.; Idrissi Kaitouni, S.; Jamil, A. Climate change impacts on future thermal energy demands and indoor comfort of a modular residential building across different climate zones. J. Build. Eng. 2025, 102, 111927. [Google Scholar] [CrossRef]
  89. Rakotonjanahary, M.; Scholzen, F.; Waldmann, D. Summertime overheating risk assessment of a flexible plug-in modular unit in luxembourg. Sustainability 2020, 12, 8474. [Google Scholar] [CrossRef]
  90. Balasbaneh, A.T.; Bin Marsono, A.K. New residential construction building and composite post and beam structure toward global warming mitigation. Environ. Prog. Sustain. Energy 2018, 37, 1394–1402. [Google Scholar] [CrossRef]
  91. Dickson, E.D.; Hamby, D.M.; Eckerman, K.F. Contaminant deposition building shielding factors for US residential structures. J. Radiol. Prot. 2015, 35, 317–341. [Google Scholar] [CrossRef]
  92. Dickson, E.D.; Hamby, D.M. Cloud immersion building shielding factors for US residential structures. J. Radiol. Prot. 2014, 34, 853–871. [Google Scholar] [CrossRef] [PubMed]
  93. Schmidt, A.; Ellsworth, L.; Tilt, J.; Thiel, A.; Hiner, N. Long-term tracking of recovery of built infrastructure after wildfires with deep network topologies. Neural Comput. Appl. 2025, 37, 8465–8477. [Google Scholar] [CrossRef]
  94. Ariyanayagam, A.D.; Mahendran, M. Fire performance of load bearing LSF wall systems made of low strength steel studs. Thin-Walled Struct. 2018, 130, 187–504. [Google Scholar] [CrossRef]
  95. Ngo, T.D.; Nguyen, Q.T.; Tran, P. Heat release and flame propagation in prefabricated modular unit with GFRP composite facades. Build. Simul. 2016, 9, 607–616. [Google Scholar] [CrossRef]
  96. Nguyen, Q.T.; Ngo, T.; Tran, P.; Mendis, P.; Zobec, M.; Aye, L. Fire performance of prefabricated modular units using organoclay/glass fibre reinforced polymer composite. Constr. Build. Mater. 2016, 129, 204–215. [Google Scholar] [CrossRef]
  97. Olumo, A.; Haas, C. Building material reuse: An optimization framework for sourcing new and reclaimed building materials. J. Clean. Prod. 2024, 479, 143892. [Google Scholar] [CrossRef]
  98. Crawford, D.; Hairstans, R.; Smith, S.; Papastavrou, P. Viability of cross-laminated timber from UK resources. Proc. Inst. Civ. Eng. Constr. Mater. 2015, 168, 110–120. [Google Scholar] [CrossRef]
  99. Lin, T.; Lyu, S.; Yang, R.J.; Tivendale, L. Offsite construction in the Australian low-rise residential buildings application levels and procurement options. Eng. Constr. Archit. Manag. 2022, 29, 110–140. [Google Scholar] [CrossRef]
  100. Sooriyamudalige, N.; Domingo, N.; Shahzad, W.; Childerhouse, P. Barriers and enablers for supply chain integration in prefabricated elements manufacturing in New Zealand. Int. J. Constr. Supply Chain. Manag. 2020, 10, 73–91. [Google Scholar] [CrossRef]
  101. Masood, R.; Lim, J.B.P.; González, V.A. Performance of the supply chains for New Zealand prefabricated house-building. Sustain. Cities Soc. 2021, 64, 102537. [Google Scholar] [CrossRef]
  102. Rotimi, F.E.; Almughrabi, F.M.; Samarasinghe, D.A.S.; Silva, C. Specific Skill Requirements within Prefabricated Residential Construction: Stakeholders’ Perspectives. Buildings 2022, 12, 43. [Google Scholar] [CrossRef]
  103. Shewchuk, J.P.; Nussbaum, M.A.; Kim, S.; Sarkar, S. Simulation Modeling and Ergonomic Assessment of Complex Multiworker Physical Processes. IEEE Trans. Hum.-Mach. Syst. 2017, 47, 777–788. [Google Scholar] [CrossRef]
  104. Wang, Q.; Xu, X.; Ding, X.; Chen, T.; Deng, R. Quality Evaluation Approach for Prefabricated Buildings Using Ant Colony Algorithm and Simulated Annealing Algorithm to Optimize the Projection Pursuit Model. Buildings 2023, 13, 2307. [Google Scholar] [CrossRef]
  105. Skrzypczak, I. Statistical Quality Inspection Methodology in Production of Precast Concrete Elements. Materials 2023, 16, 431. [Google Scholar] [CrossRef]
  106. Zhao, P.; Liu, X.; Liang, Z. Destruction Feature Extraction of Prefabricated Residential Building Components Based on BIM. Sci. Program. 2022, 2022, 5798625. [Google Scholar] [CrossRef]
  107. Jędrzejczyk, A.; Firek, K.; Rusek, J. Convolutional Neural Network and Support Vector Machine for Prediction of Damage Intensity to Multi-Storey Prefabricated RC Buildings. Energies 2022, 15, 4736. [Google Scholar] [CrossRef]
  108. Seeboo, A. Designing out waste by optimizing floor layout with locally available building materials. J. Clean. Prod. 2022, 332, 130006. [Google Scholar] [CrossRef]
  109. Quiñones, R.; Llatas, C.; Montes, M.V.; Cortés, I. Quantification of Construction Waste in Early Design Stages Using Bim-Based Tool. Recycling 2022, 7, 63. [Google Scholar] [CrossRef]
  110. Hao, J.; Chen, Z.; Zhang, Z.; Loehlein, G. Quantifying construction waste reduction through the application of prefabrication: A case study in Anhui, China. Environ. Sci. Pollut. Res. 2021, 28, 24499–24510. [Google Scholar] [CrossRef]
  111. Afifi, M.; Fotouh, A.; Al-Hussein, M.; Abourizk, S. Integrated lean concepts and continuous/discrete-event simulation to examine productivity improvement in door assembly-line for residential buildings. Int. J. Constr. Manag. 2022, 22, 2423–2434. [Google Scholar] [CrossRef]
  112. Li, Y.; Wu, J.; Hao, Y.; Gao, Y.; Chai, R.; Chai, S.; Zhang, B. Process scheduling for prefabricated construction based on multi-objective optimization algorithm. Autom. Constr. 2024, 168, 105809. [Google Scholar] [CrossRef]
  113. Zou, Y.; Gao, Q.; Wang, S. Optimization of the Stacking Plans for Precast Concrete Slab Based on Assembly Sequence. Buildings 2022, 12, 1538. [Google Scholar] [CrossRef]
  114. Shewchuk, J.P.; Guo, C. Panel stacking, panel sequencing, and stack locating in residential construction: Lean approach. J. Constr. Eng. Manag. 2012, 138, 1006–1016. [Google Scholar] [CrossRef]
  115. Hsu, P.-Y.; Angeloudis, P.; Aurisicchio, M. Optimal logistics planning for modular construction using two-stage stochastic programming. Autom. Constr. 2018, 94, 47–61. [Google Scholar] [CrossRef]
  116. Malik, N.; Ahmad, R.; Al-Hussein, M. Generation of safe tool-paths for automatic manufacturing of light gauge steel panels in residential construction. Autom. Constr. 2019, 98, 46–60. [Google Scholar] [CrossRef]
  117. Heravi, G.; Firoozi, M. Production process improvement of buildings’ prefabricated steel frames using value stream mapping. Int. J. Adv. Manuf. Technol. 2017, 89, 3307–3321. [Google Scholar] [CrossRef]
  118. Shahpari, M.; Saradj, F.M.; Pishvaee, M.S.; Piri, S. Assessing the productivity of prefabricated and in-situ construction systems using hybrid multi-criteria decision making method. J. Build. Eng. 2020, 27, 100979. [Google Scholar] [CrossRef]
  119. Li, L.; Li, Z.; Li, X.; Zhang, S.; Luo, X. A new framework of industrialized construction in China: Towards on-site industrialization. J. Clean. Prod. 2020, 244, 118469. [Google Scholar] [CrossRef]
  120. Gao, M.Y.; Han, J.; Yang, Y.; Tiong, R.L.K.; Zhao, C.; Han, C. BIM-Based and IoT-Driven Smart Tracking for Precast Construction Dynamic Scheduling. J. Constr. Eng. Manag. 2024, 150, 04024117. [Google Scholar] [CrossRef]
  121. Shaked, O.; Warszawski, A. CONSCHED: Expert system for scheduling of modular construction projects. J. Constr. Eng. Manag. 1992, 118, 488–506. [Google Scholar] [CrossRef]
  122. Kurpinska, M.; Grzyl, B.; Kristowski, A. Cost analysis of prefabricated elements of the ordinary and lightweight concrete walls in residential construction. Materials 2019, 12, 3629. [Google Scholar] [CrossRef]
  123. Jang, H.; Ahn, Y.; Roh, S. Comparison of the Embodied Carbon Emissions and Direct Construction Costs for Modular and Conventional Residential Buildings in South Korea. Buildings 2022, 12, 51. [Google Scholar] [CrossRef]
  124. Vaz-Serra, P.; Wasim, M.; Egglestone, S. Design for manufacture and assembly: A case study for a prefabricated bathroom wet wall panel. J. Build. Eng. 2021, 44, 102849. [Google Scholar] [CrossRef]
  125. Pan, W.; Gibb, A.G.F.; Sellars, A.B. Maintenance cost implications of utilizing bathroom modules manufactured offsite. Constr. Manag. Econ. 2008, 26, 1067–1077. [Google Scholar] [CrossRef]
  126. Pan, W.; Gibb, A.G.F. Maintenance performance evaluation of offsite and in situ bathrooms. Constr. Innov. 2009, 9, 7–21. [Google Scholar] [CrossRef]
  127. Suárez, J.L.; Gosselin, L.; Lehoux, N. Optimizing Modularity of Prefabricated Residential Plumbing Systems for Construction in Remote Communities. J. Constr. Eng. Manag. 2023, 149, 05022017. [Google Scholar] [CrossRef]
  128. Heravi, G.; Kebria, M.F.; Rostami, M. Integrating the production and the erection processes of pre-fabricated steel frames in building projects using phased lean management. Eng. Constr. Archit. Manag. 2021, 28, 174–195. [Google Scholar] [CrossRef]
  129. Di Pasquale, J.; Innella, F.; Bai, Y. Structural Concept and Solution for Hybrid Modular Buildings with Removable Modules. J. Archit. Eng. 2020, 26, 04020032. [Google Scholar] [CrossRef]
  130. Lu, Y.; Zhu, Y. Integrating Hoisting Efficiency into Construction Site Layout Plan Model for Prefabricated Construction. J. Constr. Eng. Manag. 2021, 147, 04021130. [Google Scholar] [CrossRef]
  131. Jiao, L.; Li, X.D. Application of Prefabricated Concrete in Residential Buildings and its Safety Management. Arch. Civ. Eng. 2018, 64, 21–35. [Google Scholar] [CrossRef]
  132. Lu, Y.; Liu, S.; Li, C. Understanding the Effect of Management Factors on Construction Workers’ Unsafe Behaviors Through Agent-Based Modeling. Iran. J. Sci. Technol.—Trans. Civ. Eng. 2023, 47, 1251–1263. [Google Scholar] [CrossRef]
  133. Kim, S.; Nussbaum, M.A.; Jia, B. The benefits of an additional worker are task-dependent: Assessing low-back injury risks during prefabricated (panelized) wall construction. Appl. Ergon. 2012, 43, 843–849. [Google Scholar] [CrossRef]
  134. Hanna, A.; Zeliniski, Z. Prefabricated concrete foundations for housing. Int. J. Hous. Sci. Its Appl. 2003, 27, 41–51. [Google Scholar]
  135. Teodosio, B.; Bonacci, F.; Seo, S.; Baduge, K.S.K.; Mendis, P. Multi-criteria analysis of a developed prefabricated footing system on reactive soil foundation. Energies 2021, 14, 7515. [Google Scholar] [CrossRef]
  136. Hamza, O.; Abogdera, A.; Zoras, S. Emissions-based options appraisal for modular building foundations: A case study. Proc. Inst. Civ. Eng. Eng. Sustain. 2023, 177, 162–173. [Google Scholar] [CrossRef]
  137. Wu, D.; Liang, B.; Xiong, Y. Seismic performance of modular steel structure with X-shaped rubber bearings: Shaking table tests. Adv. Struct. Eng. 2024, 28, 13694332241307722. [Google Scholar] [CrossRef]
  138. Rasmussen, T.V. Integrated strip foundation systems for small residential buildings. Open Constr. Build. Technol. J. 2010, 4, 39–53. [Google Scholar] [CrossRef]
  139. Ahn, S.; Han, S.; Al-Hussein, M. Improvement of transportation cost estimation for prefabricated construction using geo-fence-based large-scale GPS data feature extraction and support vector regression. Adv. Eng. Inform. 2020, 43, 101012. [Google Scholar] [CrossRef]
  140. Torres, V.; Íñiguez-González, G.; Blanchet, P.; Giorgio, B. Challenges in the Design for Disassembly of Light Timber Framing Panelized Components. Buildings 2025, 15, 321. [Google Scholar] [CrossRef]
  141. Resta, G.; Gonçalves, S. Design for disassembly and cultural sites. The use of modular architecture and prefabrication in exhibition venues. Vitruvio 2024, 9, 124–141. [Google Scholar] [CrossRef]
  142. Oorschot, L.; Asselbergs, T. New housing concepts: Modular, circular, biobased, reproducible, and affordable. Sustainability 2021, 13, 13772. [Google Scholar] [CrossRef]
  143. Huuhka, S.; Kaasalainen, T.; Hakanen, J.H.; Lahdensivu, J. Reusing concrete panels from buildings for building: Potential in Finnish 1970s mass housing. Resour. Conserv. Recycl. 2015, 101, 105–121. [Google Scholar] [CrossRef]
  144. Sutantio, A.; Anwar, N.; Wiguna, I.P.A.; Suryani, E. Developing a model of sustainable construction for condominium projects in developing countries; case of Indonesia. Int. J. GEOMATE 2022, 23, 85–94. [Google Scholar] [CrossRef]
  145. Du, H.; Han, Q.; Sun, J.; Wang, C.C. Adoptions of prefabrication in residential sector in China: Agent-based policy option exploration. Eng. Constr. Archit. Manag. 2023, 30, 1697–1725. [Google Scholar] [CrossRef]
  146. Huang, Q.; Wang, J.; Ye, M.; Zhao, S.; Si, X. A Study on the Incentive Policy of China’s Prefabricated Residential Buildings Based on Evolutionary Game Theory. Sustainability 2022, 14, 1926. [Google Scholar] [CrossRef]
  147. Gao, Y.; Tian, X.-L. Prefabrication policies and the performance of construction industry in China. J. Clean. Prod. 2020, 253, 120042. [Google Scholar] [CrossRef]
  148. Anshassi, M.; Preuss, B.; Townsend, T.G. Moving beyond recycling: Examining steps for local government to integrate sustainable materials management. J. Air Waste Manag. Assoc. 2021, 71, 1039–1052. [Google Scholar] [CrossRef]
  149. Moore, T.; Higgins, D. Influencing urban development through government demonstration projects. Cities 2016, 56, 9–15. [Google Scholar] [CrossRef]
  150. Kirschke, P.; Sietko, D. The function and potential of innovative reinforced concrete prefabrication technologies in achieving residential construction goals in germany and poland. Buildings 2021, 11, 533. [Google Scholar] [CrossRef]
  151. Hassan Ali, A.; Farouk Kineber, A.; Jibril Obied Qaralleh, T.; Sultan Alaboud, N.; Daoud, A.O. Classifying and evaluating enablers influencing modular construction utilization in the construction sector: A fuzzy synthetic evaluation. Alex. Eng. J. 2023, 78, 45–55. [Google Scholar] [CrossRef]
  152. Liu, M.; Chen, Y. Research on the tripartite evolution strategy of prefabricated building promotion based on the deepening of demand-side interests. PLoS ONE 2023, 18, e0290299. [Google Scholar] [CrossRef]
  153. Al-Aidrous, A.-H.M.H.; Shafiq, N.; Al-Ashmori, Y.Y.; Al-Mekhlafi, A.-B.A.; Baarimah, A.O. Essential Factors Enhancing Industrialized Building Implementation in Malaysian Residential Projects. Sustainability 2022, 14, 11711. [Google Scholar] [CrossRef]
  154. Tam, V.W.Y.; Tam, C.M.; Ng, W.C.Y. On prefabrication implementation for different project types and procurement methods in Hong Kong. J. Eng. Des. Technol. 2007, 5, 68–80. [Google Scholar] [CrossRef]
  155. Hassan Ali, A.; Farouk Kineber, A.; Elshaboury, N.; Arashpour, M.; Daoud, A.O. Analysing multifaceted barriers to modular construction in sustainable building projects: A comprehensive evaluation using multi-criteria decision making. Int. J. Constr. Manag. 2025, 25, 1–17. [Google Scholar] [CrossRef]
  156. Saad, S.; Rasheed, K.; Ammad, S.; Hasnain, M.; Ullah, H.; Hannan Qureshi, A.; Mohsen Alawag, A.; Altaf, M.; Sadiq, T. Offsite modular construction adoption in developing countries: Partial least square approach for sustainable future. Ain Shams Eng. J. 2025, 16, 103228. [Google Scholar] [CrossRef]
  157. Ali, A.H.; Kineber, A.F.; Elyamany, A.; Ibrahim, A.H.; Daoud, A.O. Application of Ginni’s mean analysis for identifying the stationary driver enhancing modular construction adoption in the building industry. Int. J. Constr. Manag. 2025, 25, 322–333. [Google Scholar] [CrossRef]
  158. Navaratnam, S.; Satheeskumar, A.; Zhang, G.; Nguyen, K.; Venkatesan, S.; Poologanathan, K. The challenges confronting the growth of sustainable prefabricated building construction in Australia: Construction industry views. J. Build. Eng. 2022, 48, 103935. [Google Scholar] [CrossRef]
  159. Jiang, Y.; Zhao, D.; Wang, D.; Xing, Y. Sustainable performance of buildings through modular prefabrication in the construction phase: A comparative study. Sustainability 2019, 11, 5658. [Google Scholar] [CrossRef]
  160. Boyd, N.; Khalfan, M.M.A.; Maqsood, T. Off-site construction of apartment buildings. J. Archit. Eng. 2013, 19, 51–57. [Google Scholar] [CrossRef]
  161. Lehmann, S. Developing a prefabricated low-carbon construction system using cross-laminated timber (CLT) panels for multistorey inner-city infill housing in Australia. J. Green Build. 2012, 7, 131–150. [Google Scholar] [CrossRef]
  162. Mándoki, R.; Orr, J. The social acceptance of mass produced residential buildings among Hungarian young adults. Archit. Eng. Des. Manag. 2023, 19, 148–162. [Google Scholar] [CrossRef]
  163. Viriezky, V.; Susanto, D.; Alkadri, M.F. Flexible and Sustainable Incremental Houses: Advancing Semi-Volumetric Systems of Prefabricated Construction for Rapid Urbanization in Indonesia. Infrastructures 2025, 10, 5. [Google Scholar] [CrossRef]
  164. Han, Y.; Mtisi, R.S.; Zhou, J. Analyzing the influencing factors for contractors in opening prefabrication factories: A Sub-Saharan African case study. Eng. Constr. Archit. Manag. 2025. [Google Scholar] [CrossRef]
  165. Karthikeyan, V.; Vinodhini, E.; Aparna, P.; Monika, T.; Kumar, R.S. Study on comparison between prefabricated and conventional structures. Int. J. Civ. Eng. Technol. 2018, 9, IJCIET_09_05_001. [Google Scholar]
  166. Parisi, L.; Donyavi, S. Modular momentum: Assessing the efficacy of modular construction in alleviating the UK housing crisis. Discov. Appl. Sci. 2024, 6, 548. [Google Scholar] [CrossRef]
  167. Malaia, K. A Unit of Homemaking: The Prefabricated Panel and Domestic Architecture in the Late Soviet Union. Archit. Hist. 2020, 8, 1–16. [Google Scholar] [CrossRef]
  168. Saarinen, S.; Ilgın, H.E.; Karjalainen, M.; Hirvilammi, T. Individually Designed House in Finland: Perspectives of Architectural Experts and a Design Case Study. Buildings 2022, 12, 2246. [Google Scholar] [CrossRef]
  169. Gonzalez-Libreros, J.H.; Bertolazzi, A.; Turrini, U.; Pellegrino, C. Assessment of an Existing Reinforced-Concrete Prefabricated Building: The Case of the Procédé Camus. J. Archit. Eng. 2020, 26, 04020025. [Google Scholar] [CrossRef]
  170. Li, Z.; Chow, D.H.C.; Ding, D.; Ying, J.; Hu, Y.; Chen, H.; Zhao, W. The development and realisation of a multi-faceted system for green building planning: A case in Ningbo using the fuzzy analytical hierarchy process. Energy Build. 2020, 226, 110371. [Google Scholar] [CrossRef] [PubMed]
  171. Liu, C.; Song, Y.; Li, R.; Ma, W.; Hao, J.L.; Qiang, G. Three-level modular grid system for sustainable construction of industrialized residential buildings: A case study in China. J. Clean. Prod. 2023, 395, 136379. [Google Scholar] [CrossRef]
  172. Balasbaneh, A.T.; Bin Marsono, A.K. Strategies for reducing greenhouse gas emissions from residential sector by proposing new building structures in hot and humid climatic conditions. Build. Environ. 2017, 124, 357–368. [Google Scholar] [CrossRef]
  173. Lee, J.-H.; Kim, J.-S.; Lee, H.-J.; Lee, Y.-M.; Kim, H.-G. Small-scale public rental housing development using modular construction-Lessons learned from case studies in Seoul, Korea. Sustainability 2019, 11, 1120. [Google Scholar] [CrossRef]
  174. Padilla-Rivera, A.; Amor, B.; Blanchet, P. Evaluating the link between low carbon reductions strategies and its performance in the context of climate Change: A carbon footprint of awood-frame residential building in Quebec, Canada. Sustainability 2018, 10, 2715. [Google Scholar] [CrossRef]
  175. Celis-D’Amico, F.; Echeverria-Valiente, E.; Garcia-Alvarado, R.; Escorcia-Oyola, O.; da Casa-Martín, F. CASA+: Highly energy-efficient housing system for the central-south of Chile. Constr. Innov. 2025, 25, 306–327. [Google Scholar] [CrossRef]
  176. Ghannad, P.; Lee, Y.-C. Optimizing Modularization of Residential Housing Designs for Rapid Postdisaster Mass Production of Housing. J. Constr. Eng. Manag. 2023, 149, 04023046. [Google Scholar] [CrossRef]
  177. Homiński, B.; Suchoń, F.; Wawrzkiewicz, K.; Woźniak-Szpakiewicz, E. Architectural and Configurational Study of Senior Housing with Steel Volumetric Modular Technology: Towards Age-Ready and Process-Efficient Sustainable Living. Sustainability 2024, 16, 3237. [Google Scholar] [CrossRef]
  178. Mercader-Moyano, P.; Porras-Pereira, P.; Levinton, C. Circular economy and regenerative sustainability in emergency housing: Eco-efficient prototype design for subasi refugee camp in Turkey. Sustainability 2021, 13, 8100. [Google Scholar] [CrossRef]
  179. Wang, T.; Li, Y.; Zhang, L.; Li, G. Case Study of Integrated Prefab Accommodations System for Migrant On-Site Construction Workers in China. J. Prof. Issues Eng. Educ. Pract. 2016, 142, 05016005. [Google Scholar] [CrossRef]
  180. Glumac, B. Tiny portable home: Measuring the rental preferences. Cities 2021, 116, 103279. [Google Scholar] [CrossRef]
  181. Kristiansen, A.B.; Zhao, B.Y.; Ma, T.; Wang, R.Z. The viability of solar photovoltaic powered off-grid Zero Energy Buildings based on a container home. J. Clean. Prod. 2021, 286, 125312. [Google Scholar] [CrossRef]
  182. Jin, Y.; Li, J.; Wu, W. i-Yard 2.0: Integration of sustainability into a net-zero energy house. Appl. Sci. 2020, 10, 3541. [Google Scholar] [CrossRef]
  183. Tavares, V.; Lacerda, N.; Freire, F. Embodied energy and greenhouse gas emissions analysis of a prefabricated modular house: The “Moby” case study. J. Clean. Prod. 2019, 212, 1044–1053. [Google Scholar] [CrossRef]
  184. Abioye, S.; Oyedele, L.; Akanbi, L.; Ajayi, A.; Davila Delgado, J.; Bilal, M.; Akinade, O.; Ahmed, A. Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges. J. Build. Eng. 2021, 44, 103299. [Google Scholar] [CrossRef]
  185. Sheine, J.; Fretz, M.; Gershfeld, M.; Stenson, J. Prototyping a small mass timber house. In Proceedings of the World Conference on Timber Engineering, Brisbane, Australia, 22–26 June 2025. [Google Scholar]
Figure 1. Types of prefabricated residential construction, definitions, and examples [3].
Figure 1. Types of prefabricated residential construction, definitions, and examples [3].
Buildings 15 02889 g001
Figure 2. Number of prefabricated single-family houses completed or shipped in United States [7].
Figure 2. Number of prefabricated single-family houses completed or shipped in United States [7].
Buildings 15 02889 g002
Figure 3. Percentage of prefabricated single-family houses completed or shipped in United States [7].
Figure 3. Percentage of prefabricated single-family houses completed or shipped in United States [7].
Buildings 15 02889 g003
Figure 4. Frequency of research articles for a keyword search of “prefabricated modular manufactured residential construction” through ScienceDirect, between 2010 and 2024 (accessed 5 November 2025).
Figure 4. Frequency of research articles for a keyword search of “prefabricated modular manufactured residential construction” through ScienceDirect, between 2010 and 2024 (accessed 5 November 2025).
Buildings 15 02889 g004
Figure 5. Frequency of research articles for a keyword search of “prefabricated” OR “modular” OR “manufactured” AND “residential construction.” through SCOPUS, between 1970 and 2024 (accessed 5 November 2025).
Figure 5. Frequency of research articles for a keyword search of “prefabricated” OR “modular” OR “manufactured” AND “residential construction.” through SCOPUS, between 1970 and 2024 (accessed 5 November 2025).
Buildings 15 02889 g005
Table 1. Number of single-family houses completed 1,2,3 or shipped 4 in United States, in thousands [7].
Table 1. Number of single-family houses completed 1,2,3 or shipped 4 in United States, in thousands [7].
YearTotalSite-Built 1Panelized 2Modular 3Manufactured 4
19941466109374.6%382.6%302.0%30420.7%
19951406100171.3%352.5%292.1%34024.2%
19961492105971.0%372.5%322.1%36324.4%
19971471104671.2%402.7%302.0%35424.1%
19981534108270.6%442.9%342.2%37324.3%
19991620119773.9%402.5%342.1%34821.5%
20001493116377.9%402.7%392.6%25016.8%
20011450118481.7%422.9%302.1%19313.3%
20021494124683.4%463.1%332.2%16811.3%
20031519131386.5%412.7%332.2%1318.6%
20041664145487.4%422.5%362.2%1317.9%
20051783156587.8%442.5%261.5%1478.2%
20061772157989.1%402.3%352.0%1176.6%
20071316116688.7%312.4%221.7%967.3%
200890277986.5%232.6%171.9%829.1%
200957149787.2%111.9%122.1%508.7%
201054847386.5%122.2%122.2%509.1%
201150042785.6%102.0%102.0%5210.4%
201253846586.6%81.5%91.7%5510.2%
201363054887.1%111.7%101.6%609.6%
201468460188.0%101.5%81.2%649.4%
201572162887.3%111.5%101.4%719.8%
201682171386.9%151.8%111.3%819.9%
201788976986.6%121.4%141.6%9310.5%
201893981286.6%121.3%171.8%9710.3%
201999987988.1%111.1%131.3%959.5%
2020100788487.8%111.1%171.7%949.4%
2021107794687.9%100.9%141.3%1069.8%
2022113799787.8%121.1%141.2%1139.9%
2023108997289.3%121.1%151.4%898.2%
1—Number of site-built single-family houses: completed; 2—Number of panelized single-family houses: completed; 3—Number of modular single-family houses: completed; 4—Number of manufactured single-family houses: shipped.
Table 2. Prefabricated and modularized residential construction and its subfields.
Table 2. Prefabricated and modularized residential construction and its subfields.
1. Architecture2. Sustainability3. Structural4. Energy/Environment
[a] Automated design
[b] Active and passive design
[c] Optimized design considerations
▪ Modular configurations
▪ Layout designs
▪ Minimize LCA
▪ Minimize energy
▪ Minimize structural waste
[a] Assessment framework
[b] Life cycle analysis (LCA)
▪ Materials
▪ Components
▪ Systems
▪ LCA Methods
▪ Design strategies to lower LCA
[c] LCA comparisons
▪ Components
▪ Systems
[a] Components
▪ Gravity components/frames
▪ Floors
▪ Walls
▪ 3D printing of concrete
[b] Systems
▪ Failure assessment
▪ Structural performance
[c] Connections
▪ Structural
▪ Non-structural
[d] Existing building assessment
[a] Energy
▪ Efficiency
▪ Cooling/Heating
▪ Performance
▪ Design strategies to lower energy
▪ Wall/envelope components
[b] Environmental hazards
▪ Air quality
▪ Climate change
▪ Contaminant exposure
▪ Fire performance
5. Factory Build6. Installation7. Policy,
Possibilities, and Challenges
8. Case Studies
[a] Supply chain
[b] Working conditions
[c] QAQC
▪ Quality evaluation
▪ Monitoring damage
[d] Waste management
[e] Optimization in productivity
[f] Scheduling
[g] Cost
[h] Modular bathroom pods
[a] Assembly
▪ Crane use
▪ Safety
▪ Foundations
[b] Delivery optimization
[c] Disassembly
▪ End of life
[a] Policies
▪ Europe
▪ Asia
▪ USA
▪ Australia
[b] Possibilities and Challenges
▪ Possibilities
▪ Challenges
▪ Economic viability
▪ Buyer preferences
▪ Current practices
[a] Various countries
▪ Europe
▪ Asia
▪ USA/Canada
[b] Other
▪ Post-disaster housing
▪ Homeless housing
▪ Senior housing
▪ Temporary housing
▪ Container homes
▪ Net-zero buildings
Table 3. Literature review—Examples of topical interdependencies.
Table 3. Literature review—Examples of topical interdependencies.
Optimized DimensionsMaterial SelectionStructural System
1. Architecture
3. Structural
5. Factory Build
6. Installations
1. Architecture
2. Sustainability
3. Structural
4. Energy/Environment
5. Factory Build
6. Policy
2. Sustainability
5. Factory Build
6. Installation
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Kim, S. Prefabricated and Modularized Residential Construction: A Review of Present Status, Opportunities, and Future Challenges. Buildings 2025, 15, 2889. https://doi.org/10.3390/buildings15162889

AMA Style

Kim S. Prefabricated and Modularized Residential Construction: A Review of Present Status, Opportunities, and Future Challenges. Buildings. 2025; 15(16):2889. https://doi.org/10.3390/buildings15162889

Chicago/Turabian Style

Kim, Sunai. 2025. "Prefabricated and Modularized Residential Construction: A Review of Present Status, Opportunities, and Future Challenges" Buildings 15, no. 16: 2889. https://doi.org/10.3390/buildings15162889

APA Style

Kim, S. (2025). Prefabricated and Modularized Residential Construction: A Review of Present Status, Opportunities, and Future Challenges. Buildings, 15(16), 2889. https://doi.org/10.3390/buildings15162889

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop