Green Building Design and Construction for a Sustainable Future—2nd Edition

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Building Energy, Physics, Environment, and Systems".

Deadline for manuscript submissions: closed (20 April 2025) | Viewed by 9785

Special Issue Editors


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Guest Editor
School of Engineering, RMIT University, Melbourne, VIC 3001, Australia
Interests: sustainability and leadership in the built environment; green retrofit; modular construction; low carbon building; infrastructure resilience; sustainable urbanization
Special Issues, Collections and Topics in MDPI journals
College of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China
Interests: sustainable construction; green building; building energy efficiency; energy use behaviour; built environment and health; smart city
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Economic and Management, Southwest University, Chongqing 400715, China
Interests: sustainable construction; green building development in rural areas; stakeholder management; digitalization in construction industry; construction innovation management
School of Economics and Management, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
Interests: infrastructure resilience; sustainable urbanization; infrastructure intelligent risk management

Special Issue Information

Dear Colleagues,

This Special Issue is a follow-up of the first Special Issue, entitled “Green Building Design and Construction for a Sustainable Future” (https://www.mdpi.com/journal/buildings/special_issues/QOV1YKM83N), published in Buildings.

According to the data of the International Energy Agency (IEA), buildings and construction together account for 30% of global final energy consumption and 27% of total energy sector emissions. The building sector has been making efforts to reduce carbon emissions for many years. However, there is still a long way to go to meet the Net Zero Emissions by 2050 Scenario. Given the large amount of new construction every year, it is necessary to significantly increase the proportion of green buildings, including new buildings with green design and construction and the green retrofitting of existing buildings.

The green building concept has been around for decades, aiming to reduce the environmental impacts of buildings over their life cycle. Different green building assessment tools have been developed, such as LEED, BREEAM, BEAM Plus, etc., and many buildings have been labelled as green buildings worldwide. However, the number of green buildings is still a small percentage of the existing building stocks. It becomes necessary to further promote the green concept in future building design and construction by involving different stakeholders. Moreover, the green retrofitting of existing buildings will provide important contributions to achieve the net zero emission goal. New technologies and materials will also bring disruptions for the future development of green buildings. To have a clear understanding of the recent development in green building design and construction and future directions, this Special Issue seeks outstanding research studies, reviews, and good practices on green building design and construction that lead to sustainable development in the built environment. The key focus areas of the Special Issue include, but are not limited to, the following research topics:

  • Green buildings with low carbon emissions;
  • Green construction and site management;
  • Digital technology applications in green design and construction;
  • Use of recycled materials for green buildings;
  • Green procurement towards low-carbon construction;
  • Life cycle assessment of green buildings;
  • Green retrofitting of existing buildings;
  • Green innovation management;
  • Stakeholder management in green building development;
  • Performance of green building development;
  • Resilience assessment of green buildings;
  • Green building safety design.

Dr. Yongtao Tan
Prof. Dr. Peng Mao
Dr. Xiaolong Gan
Dr. Hui Xu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Buildings is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • green building design
  • green construction
  • green materials
  • green retrofit
  • building environmental impacts
  • carbon emission
  • life cycle assessment

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Related Special Issue

Published Papers (5 papers)

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Research

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25 pages, 15821 KiB  
Article
The Evaluation of Spatial Allocation and Sustainable Optimization Strategies for Sports Venues in Urban Planning Based on Multi-Source Data: A Case Study of Xi’an
by Dongxu Xiong, Chenxi Shao and Rui Zhang
Buildings 2025, 15(8), 1354; https://doi.org/10.3390/buildings15081354 - 18 Apr 2025
Viewed by 328
Abstract
With the development of the economy and improvements in living standards, public demand for sports activities has continued to increase. However, the supply–demand relationship of urban sports venues remains unbalanced in many cities. Existing theoretical research on the spatial allocation of sports venues [...] Read more.
With the development of the economy and improvements in living standards, public demand for sports activities has continued to increase. However, the supply–demand relationship of urban sports venues remains unbalanced in many cities. Existing theoretical research on the spatial allocation of sports venues predominantly focuses on macro-level functional configuration and the equitable distribution of sports resources, lacking more rigorous and quantitative evaluation frameworks for evaluating spatial allocation. This study innovatively integrates multi-source data into the assessment and sustainable optimization of sports venue allocation in urban planning, using Xi’an as a case study. By analyzing geographic information, road network topology, OpenStreetMap (OSM), population distribution, and social media Points of Interest (POI), and using analytical tools such as ArcGIS 10.8 and Stata 17, the appropriateness of resource distribution of public sports venues in Xi’an’s main urban area is evaluated from three dimensions: accessibility, equity, and spatial activity. The results reveal the appropriateness of venue distribution in urban spatial allocation, the equitable distribution of resources, and imbalances in spatial activity and resource distribution. Finally, the study proposes a series of sustainable optimization strategies, including increasing venue coverage in low-supply areas, adaptive reuse of idle industrial buildings into sports venues guided by green sustainability principles, constructing a “15-min fitness circle” spatial system, optimizing low-carbon mobility networks around venues, enhancing the compatibility of sports venues, and improving commercial operation and management capabilities. These strategies aim to optimize the distribution of public sports venues in Xi’an to improve fairness and operational efficiency in service delivery while promoting sustainable urban development. Full article
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23 pages, 1950 KiB  
Article
Drivers for the Acceptance of Green Housing Insurance from the Perspective of House Owners
by Yujuan She, Nan Pu, Ying Wang, Jiahao Li, Xinyi Peng, Qiguang Lv and Mingxue Ma
Buildings 2025, 15(8), 1241; https://doi.org/10.3390/buildings15081241 - 9 Apr 2025
Viewed by 270
Abstract
In recent years, global climate and environmental issues have become prominent, making green housing a major focus. However, during the development of green housing, there is a tendency to prioritize design while neglecting the operation. Meanwhile, house owners’ green rights and interests during [...] Read more.
In recent years, global climate and environmental issues have become prominent, making green housing a major focus. However, during the development of green housing, there is a tendency to prioritize design while neglecting the operation. Meanwhile, house owners’ green rights and interests during the operation stage are not well protected. In response, some countries have promoted green housing insurance. However, this type of insurance remains immature because of insufficient public awareness, a lack of supporting policies, and limited practical application. These challenges result in low acceptance among house owners, hindering the development of green insurance and green housing sector. To address this issue, this study applies the push–pull theory to establish a driver system for house owners’ acceptance of green housing, considering internal push and external pull drivers. Structural equation modeling (SEM) is then used to analyze the mechanisms that drive house owners’ acceptance. The key findings are as follows: (1) drivers in the pull dimension have a stronger impact on acceptance than drivers in the push dimension; and (2) premium subsidies and economic compensation play a crucial role in driving house owners to accept green housing insurance. This study identifies the key drivers and pathways that influence the acceptance of green housing insurance, providing valuable insights for increasing public recognition and acceptance. The findings can contribute to the development of the green housing industry. Full article
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18 pages, 615 KiB  
Article
Research on the Competitive and Cooperative Relationships of Urban Agglomerations Based on the Lotka–Volterra Model: A Case Study of the Guangdong–Hong Kong–Macao Greater Bay Area
by Ruipu Li, Bo Yu, Siyuan Zhang and Gang Wu
Buildings 2025, 15(7), 1078; https://doi.org/10.3390/buildings15071078 - 26 Mar 2025
Viewed by 199
Abstract
This study investigates the competitive and cooperative relationships within urban agglomerations, specifically focusing on the Guangdong–Hong Kong–Macao Greater Bay Area (GBA). Using the Lotka–Volterra model from ecology, the research aims to analyse and predict the dynamic relationships among cities in this area. The [...] Read more.
This study investigates the competitive and cooperative relationships within urban agglomerations, specifically focusing on the Guangdong–Hong Kong–Macao Greater Bay Area (GBA). Using the Lotka–Volterra model from ecology, the research aims to analyse and predict the dynamic relationships among cities in this area. The purpose is to understand how competition and cooperation influence regional integration, and their complex economic connections. This paper employs both qualitative and quantitative methods, including time-series analysis and the application of the Lotka–Volterra model, to evaluate economic interactions and the roles of various cities or regions within the GBA. The study reveals that mutualistic, competitive, predatory, commensal, and parasitic relationships coexist among them, with core cities such as Shenzhen, Guangzhou, Hong Kong, and Macao assuming pivotal roles in shaping the overall dynamics. The findings highlight the importance of functional division, regional cooperation, and innovative collaboration to enhance sustainable development. Policy recommendations are provided to foster a balanced and integrated growth model, emphasizing inter-city cooperation, resource sharing, and avoidance of industrial homogeneity. Full article
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24 pages, 931 KiB  
Article
Influencing Factors and Promotion Strategies for the Adoption or Resistance of Prefabricated Buildings by Construction Companies in Botswana
by Otsile Morake, Qingfeng Meng, Agyemang Kwasi Sampene and Francis Kyere
Buildings 2024, 14(11), 3556; https://doi.org/10.3390/buildings14113556 - 7 Nov 2024
Cited by 1 | Viewed by 1480
Abstract
This study investigates the challenges and promotion strategies for adopting Prefabricated Buildings (PFBs) by construction companies in Botswana, using the Behavioral Reasoning Theory (BRT) as the guiding framework. The main research problem addressed is the limited uptake of PFBs within Botswana’s construction industry [...] Read more.
This study investigates the challenges and promotion strategies for adopting Prefabricated Buildings (PFBs) by construction companies in Botswana, using the Behavioral Reasoning Theory (BRT) as the guiding framework. The main research problem addressed is the limited uptake of PFBs within Botswana’s construction industry despite its potential environmental and efficiency benefits. The study aims to understand the reasons for adoption (RFAs) and the reasons against adoption (RAAs) among construction companies. By analyzing responses from 25 participants, the research finds that environmental sustainability, supportive government policies, internal environmental considerations, and time efficiency are key factors driving the adoption of PFB, reflecting a readiness among companies to embrace these technologies. However, significant barriers remain, including industry-specific challenges, technical complexities, transportation issues, and market-related concerns hindering wider adoption. These findings provide actionable insights for policymakers and construction stakeholders to formulate strategies to address these barriers and promote sustainable building practices. Full article
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Review

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54 pages, 1140 KiB  
Review
BIM and IFC Data Readiness for AI Integration in the Construction Industry: A Review Approach
by Sang Du, Lei Hou, Guomin Zhang, Yongtao Tan and Peng Mao
Buildings 2024, 14(10), 3305; https://doi.org/10.3390/buildings14103305 - 19 Oct 2024
Cited by 2 | Viewed by 6354
Abstract
Building Information Modelling (BIM) has been increasingly integrated with Artificial Intelligence (AI) solutions to automate building construction processes. However, the methods for effectively transforming data from BIM formats, such as Industry Foundation Classes (IFC), into formats suitable for AI applications still need to [...] Read more.
Building Information Modelling (BIM) has been increasingly integrated with Artificial Intelligence (AI) solutions to automate building construction processes. However, the methods for effectively transforming data from BIM formats, such as Industry Foundation Classes (IFC), into formats suitable for AI applications still need to be explored. This paper conducts a Systematic Literature Review (SLR) following the PRISMA guidelines to analyse current data preparation approaches in BIM applications. The goal is to identify the most suitable methods for AI integration by reviewing current data preparation practices in BIM applications. The review included a total of 93 articles from SCOPUS and WoS. The results include eight common data types, two data management frameworks, and four primary data conversion methods. Further analysis identified three barriers: first, the IFC format’s lack of support for time-series data; second, limitations in extracting geometric information from BIM models; and third, the absence of established toolchains to convert IFC files into usable formats. Based on the evidence, the data readiness is at an intermediate level. This research may serve as a guideline for future studies to address the limitations in data preparation within BIM for AI integration. Full article
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