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Urban Infrastructure and Resilient, Sustainable Buildings—2nd Edition
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Urban Infrastructure and Resilient, Sustainable Buildings—2nd Edition

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Architectural Design, Urban Science, and Real Estate".

Deadline for manuscript submissions: 30 May 2026 | Viewed by 1350

Special Issue Editors

Dr. Shenghua Zhou

E-Mail Website
Guest Editor
Department of Construction and Real Estate, School of Civil Engineering, Southeast University, Nanjing 210018, China
Interests: infrastructure resilience; civil engineering computing (BIM, computer vision, natural language processing, deep learning); digital twins
Special Issues, Collections and Topics in MDPI journals
Dr. Tiantian Gu

E-Mail Website
Guest Editor
School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China
Interests: community resilience; smart communities; urban renewal; risk assessment; public engagement
Special Issues, Collections and Topics in MDPI journals
Dr. Mun On Wong

E-Mail Website
Guest Editor
Department of Civil and Environmental Engineering, University of Macau, Macau, China
Interests: sustainable buildings; intelligent buildings
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Global cities are confronting a stream of natural disasters and man-made threats, stemming from the far-reaching impacts of climate change, rapid urbanization, and regional conflicts. Effectively addressing these multifaceted challenges has emerged as a priority. The compelling urgency to develop a resilient and sustainable built environment cannot be overstated.

This Special Issue is dedicated to providing buildings, infrastructures, and cities with the tools for enhanced resilience and sustainability, ensuring they are equipped with the latest cutting-edge research. We invite scholars from across the globe to contribute their innovative theoretical, methodological, and empirical research papers. We place special emphasis on practical solutions that pave the way for the future development of cities and society.

We wholeheartedly welcome papers on the following and related topics, including but not limited to the following:

  1. AI-supported building, infrastructure, or cities;
  2. Low-carbon building, infrastructure, or cities;
  3. Sustainable materials and construction methods;
  4. Climate-resilient buildings, infrastructures, and cities;
  5. Sustainable building design and assessment;
  6. Sustainable built environment;
  7. Smart technologies for resilience and sustainability;
  8. Innovative urban planning;
  9. Policy and governance strategies for resilience and sustainability;
  10. Energy-efficient solutions;
  11. Disaster risk assessment of built environments.

Dr. Shenghua Zhou
Dr. Tiantian Gu
Dr. Mun On Wong
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 250 words) can be sent to the Editorial Office for assessment.

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

  • sustainable city
  • smart city
  • urban resilience
  • smart infrastructure
  • low-carbon building
  • infrastructure resilience
  • interdependent infrastructures
  • low-carbon infrastructure
  • resilient city or building
  • sustainable built environment

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Further information on MDPI's Special Issue policies can be found here.

Related Special Issue

Published Papers (2 papers)

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Research

29 pages, 994 KB  
Article
Smart Lean in PC: Exploring Factors of Digitalization-Driven Lean in Chinese Prefabricated Construction Projects
by Chao Sun, Pei Dang, Zhanwen Niu, Jingxuan Zhang, Guomin Zhang and Tengfei Wang
Buildings 2026, 16(10), 2039; https://doi.org/10.3390/buildings16102039 - 21 May 2026
Abstract
The integration of digital technologies is increasingly recognized as a critical enabler of lean practices in prefabricated construction projects. However, a systematic understanding of the underlying factors that drive this lean–digital transformation remains limited. To address the gap, this study identified 18 factors [...] Read more.
The integration of digital technologies is increasingly recognized as a critical enabler of lean practices in prefabricated construction projects. However, a systematic understanding of the underlying factors that drive this lean–digital transformation remains limited. To address the gap, this study identified 18 factors through an in-depth review of 30 papers and a follow-up questionnaire survey. The factors are divided into five dimensions, i.e., organizational, social, technological, economic and environmental, according to an extended framework of the Socio-Technical Systems (STS) and Technology–Organization–Environment (TOE). These 18 factors were then analyzed via a back propagation (BP) neural network model. The empirical data were collected from 148 practitioners across 11 regions in China where PC industrialization, digital technology adoption, and lean-related practices are relatively mature. These regions were selected because digitalization-driven lean practices are more observable in such contexts, allowing the BP model to capture the comprehensive contribution of key factors more effectively. The findings reveal that the effective implementation of the smart lean practices via digitalization is primarily driven by a systematic process, where greater attention should be directed toward simulation-based process optimization, robust information management, integrated design and construction, lean management systems, and the workers’ digital skills. Although the empirical evidence is derived from relatively mature PC and digital construction markets in China, the identified factors provide reference insights for broader PC projects including less mature regions to make effective measures to improve lean implementation. This study contributes to the existing knowledge body of lean in PC by extending the theories of STS and TOE to advance the understanding of digital drivers. Additionally, the results serve as a reference for stakeholders by informing strategic priorities such as resource allocation for workforce development, advancing the realization of smart lean prefabricated construction. Full article
(This article belongs to the Special Issue Urban Infrastructure and Resilient, Sustainable Buildings—2nd Edition)
16 pages, 1418 KB  
Article
Sentiment Analysis of the Public’s Attitude Towards Emergency Infrastructure Projects: A Text Mining Study
by Caiyun Cui, Jinxu Fang, Yong Liu, Xiaowei Han, Qian Li and Yaming Li
Buildings 2026, 16(1), 6; https://doi.org/10.3390/buildings16010006 - 19 Dec 2025
Viewed by 711
Abstract
Considering the significant role that emergency infrastructure projects (EIPs) play globally in responding to emergency events, public sentiment towards EIPs has become an increasingly important factor to consider. However, limited studies have analysed the public’s sentiment specifically towards EIPs in emergency and urgent [...] Read more.
Considering the significant role that emergency infrastructure projects (EIPs) play globally in responding to emergency events, public sentiment towards EIPs has become an increasingly important factor to consider. However, limited studies have analysed the public’s sentiment specifically towards EIPs in emergency and urgent circumstances. This study analyses public sentiment characteristics by collecting objective big data from popular posts and comments related to EIPs on Sina Weibo. Sentiment information was extracted using text mining methods, and sentiment was measured using a long short-term memory (LSTM) model. Findings indicate that (1) Positive sentiment predominates in the data. (2) Public sentiment of temporary EIPs remains relatively stable, while long-term adaptive EIPs earn more pronounced sentiment fluctuation. (3) There are regional differences in public sentiment; Hebei, Shandong and Shanghai exhibit slightly lower stability with positive sentiment being slightly lower than or equal to neutral sentiment. The findings contribute to the literature by focusing innovatively on the public perspective of EIPs under urgent circumstances by exploring public sentiment characteristics and evolution and are of particular significance for related government departments and project managers in decision-making and construction management. Full article
(This article belongs to the Special Issue Urban Infrastructure and Resilient, Sustainable Buildings—2nd Edition)
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