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Sustainable Development of Construction Engineering—2nd Edition
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Sustainable Development of Construction Engineering—2nd Edition

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Green Building".

Deadline for manuscript submissions: 31 December 2026 | Viewed by 3136

Special Issue Editors

Dr. Lingkun Chen

E-Mail Website
Guest Editor
College of Architectural Science and Engineering, Yangzhou University, Yangzhou 225000, China
Interests: accelerated construction and design; building information modeling (BIM) technology; prefabrication building; modular construction; emergency management
Special Issues, Collections and Topics in MDPI journals
Dr. Tao Wang

E-Mail Website
Guest Editor
School of Geography and Planning, Huaiyin Normal University, Huai’an 223300, China
Interests: facilities management; prefabricated construction; construction project management
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Qinghua Zhang

E-Mail Website
Guest Editor
School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China
Interests: rapid bridge replacement technology; high-performance bridges; damage performance transmutation mechanism; intelligent fatigue damage monitoring; whole life bridge performance; deterioration; post-deterioration performance enhancement
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Nan Zhang

E-Mail Website
Guest Editor
School of Civil Engineering and Architecture, Beijing Jiaotong University, Beijing 100044, China
Interests: assembly building; industrial chain; rapid damage assessment; infrastructure maintenance and repair; system dynamics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The construction industry is shifting from its traditional role as a "builder" to becoming a "smart constructor" and "green development driver", geared toward the advancement of future cities and human-centric living. In recent years, the rapid development of digital technology has provided new opportunities for the green transformation of the construction industry. The field has promoted low-carbon, green, and prefabricated buildings based on informatization and intelligence, becoming research hotspots. This transformation leverages BIM, IoT, big data, and other technologies to achieve environmental friendliness from a whole-lifecycle project perspective, building an efficient, transparent, and collaborative digital construction system. This supports the industry's transition toward a low-carbon, intelligent, and sustainable future.

Working from a sustainable construction perspective, this Special Issue aims to conduct research on the sustainable development of construction projects, digitalization, and their interactions. In this Special Issue, original research articles and reviews are welcome. Potential research areas include (but are not limited to) the following topics:

  • Accelerated design and construction;
  • Prefabricated construction;
  • Building information modeling (BIM);
  • Green buildings;
  • Low-carbon buildings;
  • Smart cities;
  • Whole-lifecycle theory;
  • Big data, artificial intelligence, and intelligent buildings;
  • Building operation and maintenance;
  • Facilities management;
  • Urban renewal.
  • Living preservation of historic buildings

We look forward to receiving your contributions.

Dr. Lingkun Chen
Dr. Tao Wang
Prof. Dr. Qinghua Zhang
Prof. Dr. Nan Zhang
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. Sustainability 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 2400 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

  • construction engineering
  • green buildings
  • low-carbon buildings
  • construction industry

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Related Special Issue

Published Papers (4 papers)

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Research

32 pages, 5452 KB  
Article
Subsidy Ceilings and Sequential Synergy: Steering Sustainable Outcomes Through Dynamic Thresholds in China’s Urban Renewal Tripartite Game
by Li Wang, Pan Ren, Yongwei Shan and Guanqiao Zhang
Sustainability 2025, 17(19), 8713; https://doi.org/10.3390/su17198713 - 28 Sep 2025
Abstract
Aligning with the UN Sustainable Development Goals (SDGs 11 and 13), this study examines how dynamic subsidy thresholds steer environmental resilience, social inclusion, and fiscal sustainability in China’s urban renewal. Using evolutionary game theory (EGT) and system dynamics (SD), stakeholder strategies are modeled [...] Read more.
Aligning with the UN Sustainable Development Goals (SDGs 11 and 13), this study examines how dynamic subsidy thresholds steer environmental resilience, social inclusion, and fiscal sustainability in China’s urban renewal. Using evolutionary game theory (EGT) and system dynamics (SD), stakeholder strategies are modeled under varying policy interventions, with key parameters calibrated through Chongqing’s LZ case and MATLAB simulations. These include government subsidies (M1, M2), penalties (S2), and stakeholder benefits (R1–R5). The results reveal the following two distinct types of critical thresholds: a universal and robust fiscal warning line for developers (M1 > 600 k RMB) and a threshold for residential subsidies that is moderated by psycho-social factors (M2), with its value fluctuating within a certain range (approximately 550 k RMB to 850 k RMB). A sequential synergy pathway is proposed: “government-led facilitation → developer-driven implementation (when R3 > 450 k RMB) → resident participation (triggered by R2 > 150 k RMB).” The study advocates differentiated incentives and penalties, prioritizing early-stage governmental leadership to foster trust, promote inclusive participation, and align with environmental, social, and economic sustainability goals. This integrated framework reveals critical policy leverage points for enhancing social and fiscal resilience, providing a replicable model for sustainable and resilient urban governance in the Global South. Full article
(This article belongs to the Special Issue Sustainable Development of Construction Engineering—2nd Edition)
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34 pages, 6757 KB  
Article
Multi-Objective Optimization of Window Design for Energy and Thermal Comfort in School Buildings: A Sustainable Approach for Hot-Humid Climates
by Tian Xia, Azlan Shah Ali and Norhayati Mahyuddin
Sustainability 2025, 17(19), 8646; https://doi.org/10.3390/su17198646 - 26 Sep 2025
Abstract
School buildings in hot-humid climates encounter considerable difficulties in balancing energy use and thermal comfort due to this environment, necessitating optimized design strategies to reduce energy consumption while enhancing occupant comfort. This study presents sustainable design strategies for educational structures in hot-humid regions, [...] Read more.
School buildings in hot-humid climates encounter considerable difficulties in balancing energy use and thermal comfort due to this environment, necessitating optimized design strategies to reduce energy consumption while enhancing occupant comfort. This study presents sustainable design strategies for educational structures in hot-humid regions, aiming to optimize energy efficiency and thermal comfort for environmental preservation and occupant welfare. The present work introduces a multi-objective optimization framework for window design in school buildings situated in hot-humid climates, targeting a balance between Energy Use Intensity (EUI) and Thermal Comfort Time Ratio (TCTR). Exploring multi-objective optimization through NSGA-II genetic algorithms, the study conducts Sobol sensitivity analysis for parameter assessment and applies Gaussian Process Regression (GPR) for effective model validation, identifying optimal window configurations that reduce energy consumption while enhancing thermal comfort. It finds that the Window-to-Wall Ratio (WWR) and Solar Heat Gain Coefficient (SHGC) are the most significant factors, with WWR and SHGC accounting for 28.1% and 23.7% of the variance in EUI and TCTR, respectively. The results reveal a non-linear trade-off between the objectives, with the Balanced Solution offering a practical compromise: a 6.7% decrease in energy use and a 14.3% enhancement in thermal comfort. The study examined various ranges of window parameters, including WWR (0.1–0.50), SC (0.20–0.80), K (1.0–2.5 W·m−2·K−1), SHGC (0.1–0.4), Shading width (0.3–2.0 m), and Shading angle (0°–90°). The recommended compromise, known as the Balanced Solution, suggests optimal values as follows: WWR = 0.40, SC = 0.30, SHGC = 0.40, K = 1.2 W·m−2·K−1, Shading width = 1.22 m, and Shading angle = 28°. The GPR model exhibited high predictive precision, with R2 values of 0.91 for EUI and 0.95 for TCTR, underscoring the framework’s effectiveness. This research offers actionable insights for designing energy-efficient and comfortable school buildings in hot-humid climates, enriching sustainable architectural design knowledge. Full article
(This article belongs to the Special Issue Sustainable Development of Construction Engineering—2nd Edition)
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21 pages, 2053 KB  
Article
Embodied Experience and Visitor Loyalty in Historic Cultural Heritage Buildings: Integrating Structural Equation Modeling and Deep Learning
by Chen Xiang, Zikun Huang, Jilei Qian, Nur Aulia Bt Rosni and Norafida Ab Ghafar
Sustainability 2025, 17(18), 8379; https://doi.org/10.3390/su17188379 - 18 Sep 2025
Viewed by 223
Abstract
This study is grounded in the global agenda of achieving the Sustainable Development Goals (SDGs), emphasizing the critical role of historic cultural heritage buildings in fostering cultural continuity and long-term engagement. Centered on the living conservation of architectural heritage, the research explores how [...] Read more.
This study is grounded in the global agenda of achieving the Sustainable Development Goals (SDGs), emphasizing the critical role of historic cultural heritage buildings in fostering cultural continuity and long-term engagement. Centered on the living conservation of architectural heritage, the research explores how immersive and embodied interactions shape visitor loyalty. Structural equation modeling (SEM) demonstrates that environmental restoration and flow experience significantly mediate the relationship between embodied experience and loyalty, while cultural identity further strengthens these pathways. To complement the explanatory analysis, deep learning methods were employed, with the multilayer perceptron (MLP) outperforming the gated recurrent unit (GRU) in terms of predictive accuracy. SHAP analysis revealed that technological mediation and physical interaction are the strongest predictors of loyalty, followed by sensory immersion. By integrating explanatory and predictive perspectives, the study refines the embodied experience framework and offers both theoretical insights and practical guidance for the design and conservation of historic cultural heritage buildings. Ultimately, the findings highlight that embodied experience-driven living heritage conservation not only sustains cultural identity but also makes a meaningful contribution to the realization of global sustainable development. Full article
(This article belongs to the Special Issue Sustainable Development of Construction Engineering—2nd Edition)
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33 pages, 11723 KB  
Article
A Landscape Narrative Model for Visitor Satisfaction Prediction in the Living Preservation of Urban Historic Parks: A Machine-Learning Approach
by Chen Xiang, Nur Aulia Bt Rosni and Norafida Ab Ghafar
Sustainability 2025, 17(12), 5545; https://doi.org/10.3390/su17125545 - 16 Jun 2025
Cited by 2 | Viewed by 1873
Abstract
Urban historic parks face the dual challenge of achieving the living preservation of historic buildings while enhancing contemporary visitor satisfaction. In the context of accelerating urbanization and growing demand for immersive cultural experiences, it is increasingly important to conserve historical and cultural values [...] Read more.
Urban historic parks face the dual challenge of achieving the living preservation of historic buildings while enhancing contemporary visitor satisfaction. In the context of accelerating urbanization and growing demand for immersive cultural experiences, it is increasingly important to conserve historical and cultural values while maintaining relevance and emotional engagement. This study adopts a mixed-methods approach to develop a predictive model for visitor satisfaction within the framework of living preservation, using Yingzhou West Lake in Fuyang City, Anhui Province, as a representative case. Qualitative methods were employed to identify key landscape narrative dimensions, while quantitative data from structured questionnaires highlighted critical experiential elements such as environmental restoration perception, flow experience, and cultural identity. Three machine-learning algorithms—random forest, Support Vector Machine (SVM), and XGBoost—were applied, with the most accurate model used to analyze the relative contribution of each component to visitor satisfaction. The findings revealed that immersive experiential elements play a central role in shaping satisfaction, while physical and cultural elements, particularly historic buildings and their contextual integration, provide essential structural and emotional support. This study offers data-driven insights for the adaptive reuse and interpretive activation of historic architecture, proposing practical strategies to harmonize cultural continuity with visitor engagement in the sustainable management of urban historic parks. Full article
(This article belongs to the Special Issue Sustainable Development of Construction Engineering—2nd Edition)
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