Search Results (33)

Providing effective post-disaster housing remains a globally complex challenge shaped by interrelated constraints, including environmental sustainability, socio-cultural compatibility, logistical capacity, and economic feasibility. Contemporary responses therefore require housing solutions that extend beyond rapid deployment to incorporate flexibility, adaptability, and long-term spatial transformation. In this context, this study advances a design-oriented, computational framework that positions parametric design at the core of post-disaster housing production within the broader digital transformation of the construction sector. The research proposes an adaptive parametric–modular housing system in which standardized architectural units are governed by a rule-based aggregation logic capable of generating context-responsive spatial configurations across multiple scales and typologies. The methodology integrates a qualitative synthesis of global post-disaster housing literature with a quantitative computational workflow developed in Grasshopper for Rhinoceros 3D (version 8). Algorithmic scripting defines a standardized spatial grid and parametrically regulates key building components structural systems, façade assemblies, and site-specific environmental parameters, enabling real-time configuration, customization, and optimization of housing units in response to diverse user needs and varying climatic, social, and economic conditions while maintaining constructability. The applicability of the framework is examined through a case study of the Düzce Permanent Housing context, where limitations of existing post-disaster stock, such as spatial rigidity, restricted growth capacity, and fragmented public-space integration, are contrasted with alternative settlement scenarios generated by the proposed system. The findings demonstrate that the framework supports multi-scalar and multi-typological reconstruction, extending beyond individual dwellings to include public, service, and open-space components. Overall, the study contributes a transferable computational methodology that integrates modular standardization with configurational diversity and user-driven adaptability, offering a sustainable pathway for transforming temporary post-disaster shelters into permanent, resilient, and socially integrated community assets. Full article

Natural disasters are increasing in frequency and intensity, causing escalating humanitarian crises and complex housing challenges globally. Traditional post-disaster housing solutions often fall short, being slow, costly, and ill-adapted to specific community needs. This study addresses these limitations by proposing an innovative, technology-driven model for post-disaster housing that integrates parametric design with 3D printing. The objective is to develop a flexible and adaptable system capable of providing both immediate temporary shelter and evolving permanent housing solutions. In this study, the methodology of the proposed model for post-disaster housing solutions is structured around three main phases: the development of the theoretical framework, the parametric design process, and the implementation phase. In the first phase, a comprehensive literature review and conceptual analyses were conducted to examine the concept of disaster, post-disaster housing approaches, and advanced technologies, thereby establishing the conceptual foundation of the model. In the second phase, parametric modeling was carried out for a modular system using algorithmic design tools such as Grasshopper; the model’s applicability across various scales and its flexibility were analyzed. In the final phase, material selection and digital prototyping of the gridal system were undertaken using 3D printing technology to evaluate the model’s feasibility for rapid on-site production, assembly, and disassembly. The model prioritizes user participation, modularity, and configurability to ensure rapid response and socio-cultural sensitivity. Findings indicate that this integrated approach offers substantial benefits, including accelerated construction, reduced labor and material waste, enhanced design flexibility, and the use of local, sustainable materials. This research highlights the transformative potential of advanced manufacturing in providing resilient, user-centered, and environmentally sustainable post-disaster housing, advocating for governmental financial support to overcome adoption barriers and foster broader implementation. Full article

Background: Facility location is a key challenge in humanitarian logistics, particularly in disaster response, where rapid and efficient resource deployment is crucial. Temporary facilities offer a cost-effective solution due to their rapid deployment and flexibility in addressing increased demand and the dynamic conditions of post-disaster environments. Methods: This study conducts a systematic literature review following PRISMA guidelines to analyze facility location problems involving temporary or modular facilities in humanitarian logistics. A total of 65 articles from Scopus and Web of Science were analyzed. Results: Most studies focus on temporary facilities like shelters and medical centers in earthquake-affected areas, with most applications in Asia. Despite being temporary, only 6% of the studies consider closure decisions. Recent research explores modular facilities that enhance adaptability through module relocation and capacity adjustments. Conclusions: Temporary facilities after sudden-onset disasters require advanced modeling approaches that include multi-period planning, modular design, and complex decision-making, requiring solutions through heuristics or relaxations. However, there is a lack of research on their application in slow-onset and human-induced disasters. Moreover, considering geographical, cultural, and political factors is essential to ensure effective solutions. Further studies are also needed on facilities functioning as collection and processing centers, given their critical role in the humanitarian supply chain. Full article

The design of post-emergency shelters is critical for mitigating the impacts of the numerous disasters occurring globally. Unfortunately, these shelters are frequently constructed with insufficient attention to comfort levels and minimum standards for temporary refuge. This study examines wooden post-emergency shelters, which have become increasingly common in various refugee camps and regions worldwide. Using the Active House Protocol, a comprehensive comparative analysis of indoor comfort is conducted to propose innovative approaches to global design challenges, particularly in developing countries. To minimize the negative effects of disasters and increase sustainability, it is essential to explore the feasibility of designing comfortable shelters despite numerous obstacles, such as the limited availability of low-cost materials and the lack of skills of the local workforce. Various shelter configurations are analyzed, revealing that structures made from natural materials and designed with careful consideration of air circulation yielded the highest comfort values. Additionally, the study finds that wooden structures do not always provide the best solution, contrary to common practice. Inadequate comfort standards can lead to distress and psychological stress among occupants, highlighting the necessity to improve design and construction practices to ensure the well-being of disaster-affected populations. Finally, this study provides guidelines on the minimum requirements for the development of post-disaster shelters, advocating for solutions that are both simple and effective in rapidly addressing the critical situations that arise following disasters. Full article

Predicting the distribution of people in the time window approaching a disaster is crucial for post-disaster assistance activities and can be useful for evacuation route selection and shelter planning. However, two major limitations have not yet been addressed: (1) Most spatiotemporal prediction models incorporate spatiotemporal features either directly or indirectly, which results in high information redundancy in the parameters of the prediction model and low computational efficiency. (2) These models usually incorporate certain basic and external features, and they can neither change spatiotemporal addressed features according to spatiotemporal features nor change them in real-time according to spatiotemporal features. The spatiotemporal feature embedding methods for these models are inflexible and difficult to interpret. To overcome these problems, a lightweight population density distribution prediction framework that considers both basic and external spatiotemporal features is proposed. In the study, an autoencoder is used to extract spatiotemporal coded information to form a spatiotemporal attention mechanism, and basic and external spatiotemporal feature attention is fused by a fusion framework with learnable weights. The fused spatiotemporal attention is fused with Resnet as the prediction backbone network to predict the people distribution. Comparison and ablation experimental results show that the computational efficiency and interpretability of the prediction framework are improved by maximizing the scalability of the spatiotemporal features of the model by unleashing the scalability of the spatiotemporal features of the model while enhancing the interpretability of the spatiotemporal information as compared to the classical and popular spatiotemporal prediction frameworks. This study has a multiplier effect and provides a reference solution for predicting population distributions in similar regions around the globe. Full article

This study aims to propose a sustainable shelter design involving energy savings, less environmental impact, and rapid construction. The structural design of the shelter is based on 3D-printing technology. Sustainability assessments, including life cycle analysis (LCA), life cycle energy assessment (LCEA), and energy justice of the designed shelter, were conducted to prove the sustainable shelter design. The outcomes of this study for several scenarios will not only allow decision-makers to design permanent shelters with maximized utilization of limited resources but also help local communities strengthen their ability to recover with minimal outside assistance post-disaster. Furthermore, residents can utilize the sustainable shelter to maintain critical functions, including business continuity and local business in emergencies. Full article

This research study assesses the effectiveness of the Socio-Technical Assistance (STA) program when combined with owner-driven housing reconstruction on rural private housing recovery after Nepal’s 2015 earthquake, particularly regarding vulnerable households. Through a quantitative, 304-question survey, the study reveals that 96% of households credited STA activities for accelerating reconstruction, with 95% acknowledging its significance and 78% emphasizing its necessity. Notably, 89% expressed dependency on STA for reconstruction, and 85% believed it heightened disaster risk reduction awareness. In conclusion, the study establishes that STA activities significantly contributed to the successful reconstruction of houses for vulnerable households, addressing such critical aspects as financial support, technical assistance, housing accessibility, earthquake-resilient construction, improved livelihoods, and safety enhancements. The field study presents crucial recommendations for enhancing the effectiveness of Socio-Technical Assistance (STA) activities in post-earthquake, rural private housing reconstruction. Emphasizing the need for tailored, demand-driven interventions, the study cautions against relying solely on an owner-driven reconstruction model, challenging the one-size-fits-all strategy. The study proposes integrating tailored interventions into overarching recovery strategies, advocating for coordinated efforts to enhance disaster risk reduction (DRR) awareness and to cultivate resilient communities in particularly vulnerable households as aligned with United Nations Sustainable Development Goal 11, which focuses on sustainable cities and communities. This research aims to enhance the literature on post-disaster humanitarian shelter and settlement by emphasizing the significance of inclusive and comprehensive approaches to recovery and reconstruction. Full article

Background: Japan is a country often subject to natural disasters, influenced by a rapidly increasing aging demographic. The current research aims to analyze the food distribution for elderly evacuees who were relocated to a care facility in Wajima City, administered by the non-profit organization Tokushukai Medical Assistant Team (TMAT), post the Noto Peninsula Earthquake on 1 January 2024. A significant portion of the shelter’s inhabitants were elderly individuals. Methods: TMAT’s operations began immediately after the calamity, concentrating on evaluating the nutritional content of meals provided during the initial and subsequent phases, along with a thorough nutritional assessment. During this process, researchers examined the meal conditions for evacuees, including the elderly and those with disabilities, observed the actual meal distribution at welfare centers, and discussed the challenges and potential solutions. Result: Throughout the TMAT mission, a total of 700 evacuees received assistance, with 65% being 65 years old or above. An analysis of the nutritional content of the 10 meal varieties served at the shelter revealed inadequate energy and protein levels for elderly individuals, particularly men, indicating the need for future enhancements. Conclusions: Following a detailed evaluation of TMAT’s response to the Noto Peninsula earthquake, it was determined that the food provided in the shelters in the affected areas did not meet the nutritional needs of elderly individuals, especially men, based on nutritional analysis. To stress the importance of establishing an effective framework, it is recommended to promptly revise the emergency food provisions for the elderly population, considering they constitute the majority of the affected individuals. Full article

Natural disasters devastate property and infrastructure systems, impeding sustainable development. Low-income communities, due to economic, physical, and social disparities, face heightened exposure and vulnerability. These communities endure severe and long-lasting infrastructure damage, experiencing a fourfold increase in deaths per disaster and delayed recovery efforts. Consequently, they resort to constructing informal housing and infrastructure, worsening post-disaster challenges and vulnerabilities. This study aims to address post-disaster challenges in low-income communities by proposing two novel approaches that remain understudied despite their significant potential: (1) a short-term solution of origami temporary emergency housing for swift shelter post-disaster, enabling a return to routine activities while homes and infrastructure systems are being repaired or rebuilt; and (2) a long-term solution, including effective pedagogy, such as teaching methods and instructional tools, to educate and train low-income individuals to aid in sustainable post-disaster reconstruction while providing the added benefit of social mobility. To validate the feasibility of origami TEH and the need and effectiveness of the pedagogy, a survey among architecture, engineering, and construction experts in Puerto Rico, a region prone to natural disasters, was conducted. The results, analyzed using statistical measures including descriptive statistics and ordered probit regression analysis, emphasize the urgent need for sustainable TEH that can be quickly assembled and education for low-income individuals in construction trades. Implementing these solutions will significantly impact communities by addressing post-disaster challenges and promoting social mobility and job equity. Full article

Power outages and poor thermal conditions are common in emergency shelters. In light of this, a novel design for a solar-powered emergency shelter (SPES) with flexible photovoltaics is proposed and investigated in this paper. Firstly, the space and structure of SPES are designed based on ergonomic and easy open-and-close requirements. Then, considering the finishing strength of the building and the convenience and economy of the processing design, the construction of solid models using a 1:2 equal scale, and three double-top SPES were developed, in which internal roofs are canvas, polyethylene(PE), and polyvinyl chloride(PVC). Finally, measurements and ANSYS-Fluent simulations are employed for testing the dynamic fluctuation of the electrothermal performance of SPES. It is found that the maximum differences between the inner roof interior side temperature (IRIST) and the outdoor ambient environment temperature (OAET) for S_ref, D_sc, D_pe, and D_pvc are 33.3 °C, 32.9 °C, 28.1 °C, and 25.9 °C, respectively, in winter conditions in China cold zone. The optimized design parameters of SPES in Poso City, Indonesia, characterized by equatorial humid climatic conditions, recommended that the air interlayer be 0.2 meters thick and the exhaust air volume be 0.3 m³/s. Mechanical ventilation coupled with evaporative conditioners can further reduce indoor temperatures effectively. This research offers a novel solution to the problems of indoor thermal environments and power outages for post-disaster resettlement. Full article

Despite the increasing need for Post-Disaster and Post-Conflict (PDPC) sheltering, and the rising number of humanitarian architects, there is a vague understanding of how “sustainable” shelters in PDPC situations are being addressed in the literature. Therefore, this paper aims at mapping and analyzing the current status and development trends in research that associates sustainability and shelters in PDPC situations during the past four decades (1982–2022) using a bibliometric analysis. This was fulfilled using VOSviewer to identify and visualize literature development trends, active journals, productive authors, contributing countries, influential institutions, and keyword networks. The findings identified four phases of the development process: no recognition (1982–2002), initiation (2003–2012), rapid growth (2013–2017), and accelerated growth (2018–2022). In terms of publications, the “International Journal of Disaster Risk Reduction” and “Sustainability” are the key journals publishing in the field, whereas Gibson and Habert are the most publishing authors. The United States of America was found to be the leading country in the research field, albeit Université de Montréal in Canada was the most active in terms of institutions. The study suggests the promotion of social and economic standards in addition to the environmental while developing sustainable shelter solutions. It also advises shelter professionals from both public and private sectors to improve their collaborations with all related stakeholders. Full article

Containers are fundamental elements for the development of international trade; however, it is estimated that there are more than 17 million retired containers stacked in ports around the world. Considering the high costs involved in the process of storing, transporting, or destroying these materials, in addition to their non-degradable nature, it is urgent to develop strategies for the sustainable use of these decommissioned containers. In this context, repurposing these containers into permanent structures is becoming a predominant trend. One solution is converting steel shipping structures into habitable spaces. However, due to the urgency with which Container Houses (CHs) are demanded in case of disasters, they are usually planned to be built as quickly as possible, serving as many people as possible, and do not consider the basic principles of energy efficiency. The performance of the CHs is, then, impaired, including risks of overheating, corrosion, and rust, among others, during service, making them an even more stressful experience for their users who are already in a vulnerable situation. Therefore, the objective of this study is to compare the performance of two thermal insulators applied to a temporary shelter container designed to promptly serve vulnerable populations. The model was developed in Building Information Modeling (BIM) software and simulated in Building Energy Simulation (BES) software, aiming to obtain subsidies for its technical and economic viability analysis. The results indicated that thermal insulators are able to generate significant savings in energy consumption, with mineral wool presenting better long-term performance. Full article

Globally, natural and man-made disasters continue to force the displacement of masses of people. Existing studies show that several aspects have not been integrated into constructing refugee camps and shelters to achieve sustainability, such as long lifespan, indoor thermal comfort and air quality, energy efficiency, socio-cultural aspects, integration with local planning and design systems, and environmental impact. This study integrates the above factors in six refugee core shelters, designed based on the Middle Eastern cultural context using locally available sustainable construction materials and techniques. The prototypes are situated on two different building plots, i.e., terraced and end-of-terrace, and undergo three development phases, known as the incremental improvement strategy. The study focuses on their energy and indoor environment performance and provides empirical assessments undertaken using dynamic building simulations. It shows that the adopted approach to design and construction leads to remarkable improvements in their overall performance. Concerning energy use, compared to the base case scenarios built with conventional materials, the proposed prototypes show an opportunity to save energy up to 10,000 kWh per unit per year, equivalent to almost 2500 USD savings in energy bills. This is while achieving accepted level for almost 89–94% of thermal comfort hours and 74–85% predicted mean vote (PMV), respectively. However, the CO₂ concentration level remains relatively low, ranging from 29 to 51%. Full article

This paper studies the distribution of emergency relief for electric vehicles (EVs), which considers energy saving, multi-depot, and vehicle routing problems with time windows, and the named energy saving-oriented multi-depot vehicle routing problem with time windows (ESMDVRPTW). Our aim is to find routes for EVs such that all the shelter demands are fulfilled during their time windows and the total cost traveled by the fleet is minimized. To this end, we formulate the ESMDVRPTW as a mixed-integer linear programming model. Since the post-disaster transportation network contains a large number of vertices and arcs composed of vertices, we propose a two-stage approach to solve the ESMDVRPTW. The first stage is to obtain the minimal travel cost between any two vertices in real-time on a post-disaster transportation network using the proposed Floyd algorithm combined with the neighboring list (Floyd-NL algorithm). In the second stage, we develop the genetic algorithm (GA) incorporating large neighborhood search (GA-LNS), which determines the delivery scheme of shelters. Simulation results of the MDVRPTW benchmark illustrate that the performance of the GA-LNS is better than GA, simulated annealing (SA) and tabu search (TS). Finally, case studies are constructed on two real cases acquired from the OpenStreetMap (OSM) generated by the Quantum Geographic Information System (QGIS) in Ichihara city, Japan, and the test results of case studies show the effectiveness of the proposed two-stage approach. Full article

Natural and human-induced disasters have become more frequent in recent years, and this has increased the need for effective, high-quality, quick, easy-to-assemble, and affordable emergency housing solutions. The purpose of this study is to create a knowledge base for researchers and developers working in the structural and structural-related fields to favour the development of relevant and most appropriate assistance for emergency housing that could meet the anticipated future rising demands. The focus of the research is emergency shelters for the Global South, an area of research sparsely addressed within the structural-related field. The emergency sheltering process has so many variabilities in its duration and unfolding that many agencies suggest relying on the resilience of those in need. This can have dramatic human repercussions and eventually further burden natural resources. To reach its goal, the paper shifts the attention to information from field actors and global agencies and employs a multiple case studies approach, conducted through a grounded theory methodology. The process has allowed identification of a list of structural-related issues faced by users, acting as codes in the grounded theory methodology, the associated challenges for authorities in addressing them, acting as categories, and some ideal solutions, derived from the theoretical coding. The research concludes that the challenges of the sheltering process shall be read through sustainability housing indicators and that the constraints of the former may be stimuli to the application of innovative and more inclusive procedures within the latter. The study fosters a new theoretical approach in post-disaster housing, which encourages more interdisciplinary collaborations and empirical investigations that will potentially enhance post-disaster housing sustainability and facilitate the development of emergency shelter construction schemes. Full article