Advances in Low-Carbon, Climate-Resilient, and Sustainable Built Environment

Topic Information

Dear Colleagues,

This Topic titled ‘Advances in Low-Carbon, Climate-Resilient, and Sustainable Built Environment’ is being launched to celebrate the 40th Anniversary of the School of Architecture and Fine Art at Dalian University of Technology, China. Cities and communities are the main human settlements. They are expected to provide citizens with inclusive, safe, resilient, and sustainable production and living environments. Under most conditions, cities and communities can meet these needs well, but there are many gaps because of improper planning, design, construction, operation, and management, reducing urban quality, productivity, human health, and well-being. For instance, climate-related impacts are increasingly intense, severe, and frequent, while many cities and communities cannot mitigate, alleviate, and avoid threats of extreme climate events (e.g., heat waves, cyclones, floods, and drought). Moreover, many cities and communities are not appropriately planned and designed, leading to air quality reduction, heat islands, extensive carbon emission, lack of public space, and psychological illnesses. There is a need to improve, refine, and upgrade the paradigm of urban planning and design, building design and construction, and operation, management and maintenance to enhance human settlements' environmental, social, and economic sustainability. Therefore, this Topic aims to advance knowledge of the theory, methods, and practices to create low-carbon, climate-resilient, and sustainable built environments to address climate change, urbanization, economic growth, environmental deterioration, and human health and well-being challenges. It will build a platform for researchers, policymakers, practitioners, and stakeholders from multiple disciplines, including urban–rural planning, architecture and civil engineering, landscape architecture, urban design, building sciences, construction management, environmental sciences and management, urban climate, and geography, to publish their latest academic results and findings. Relevant themes include but are not limited to the following:

− Urban environmental impact assessment;
− Urban climate resilience and disaster risk;
− Human comfort, health, and well-being;
− Climate change mitigation and adaptation;
− Nature-based solutions;
− Sustainable land use and planning;
− Decarbonization of the built environment;
− Policies, regulations, and initiatives for climate resilience;
− Human-oriented environmental design;
− Ecological safety and green space health;
− Sustainable development goals and urban development.

Prof. Dr. Baojie He
Prof. Dr. Stephen Siu Yu Lau
Prof. Dr. Deshun Zhang
Prof. Dr. Andreas Matzarakis
Prof. Dr. Fei Guo
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Sustainability sustainability	3.3	6.8	2009	20 Days	CHF 2400	Submit
Buildings buildings	3.1	3.4	2011	17.2 Days	CHF 2600	Submit
Sensors sensors	3.4	7.3	2001	16.8 Days	CHF 2600	Submit
Remote Sensing remotesensing	4.2	8.3	2009	24.7 Days	CHF 2700	Submit
Land land	3.2	4.9	2012	17.8 Days	CHF 2600	Submit
Climate climate	3.0	5.5	2013	21.9 Days	CHF 1800	Submit
Atmosphere atmosphere	2.5	4.6	2010	15.8 Days	CHF 2400	Submit

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Published Papers (2 papers)

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All Sustainability Buildings Sensors Remote Sensing Land Climate Atmosphere

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18 pages, 8643 KiB  

Open AccessArticle

The Mechanism of Street Spatial Form on Thermal Comfort from Urban Morphology and Human-Centered Perspectives: A Study Based on Multi-Source Data

by Fei Guo, Mingxuan Luo, Chenxi Zhang, Jun Cai, Xiang Zhang, Hongchi Zhang and Jing Dong

Buildings 2024, 14(10), 3253; https://doi.org/10.3390/buildings14103253 - 14 Oct 2024

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Abstract

The influence of street spatial form on thermal comfort from urban morphology and human-centered perspectives has been underexplored. This study, utilizing multi-source data and focusing on urban central districts, establishes a refined index system for street spatial form and a thermal comfort prediction [...] Read more.

The influence of street spatial form on thermal comfort from urban morphology and human-centered perspectives has been underexplored. This study, utilizing multi-source data and focusing on urban central districts, establishes a refined index system for street spatial form and a thermal comfort prediction model based on extreme gradient boosting (XGBoost) and Shapley additive explanations (SHAP). The results reveal the following: (1) Thermal comfort levels display spatial heterogeneity, with areas of thermal discomfort concentrated in commercial zones and plaza spaces. (2) Compared to the human-centered perspective, urban morphology indicators correlate strongly with thermal comfort. (3) The key factors influencing thermal comfort, in descending order of importance, are distance from green and blue infrastructure (GBI), tree visibility factor (TVF), street aspect ratio (H/W), orientation, functional diversity indices, and sky view factor. All but the TVF negatively correlates with thermal comfort. (4) In local analyses, the primary factors affecting thermal comfort vary across streets with different heat-risk levels. In high heat-risk streets, thermal comfort is mainly influenced by distance from GBI, H/W, and orientation, whereas in low heat-risk streets, vegetation-related factors dominate. These findings provide a new methodological approach for optimizing urban thermal environments from both urban and human perspectives, offering theoretical insights for creating more comfortable cities. Full article

(This article belongs to the Topic Advances in Low-Carbon, Climate-Resilient, and Sustainable Built Environment)

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27 pages, 88524 KiB  

Open AccessArticle

Cold Coastal City Neighborhood Morphology Design Method Based on Multi-Objective Optimization Simulation Analysis

by Sheng Xu, Peisheng Zhu, Fei Guo, Duoduo Yan, Shiyu Miao, Hongchi Zhang, Jing Dong and Xianchao Fan

Buildings 2024, 14(10), 3176; https://doi.org/10.3390/buildings14103176 - 5 Oct 2024

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Abstract

In the context of global warming and the frequent occurrence of extreme weather, coastal cities are more susceptible to the heat island effect and localized microclimate problems due to the significant influence of the oceanic climate. This study proposes a computer-driven simulation optimization [...] Read more.

In the context of global warming and the frequent occurrence of extreme weather, coastal cities are more susceptible to the heat island effect and localized microclimate problems due to the significant influence of the oceanic climate. This study proposes a computer-driven simulation optimization method based on a multi-objective optimization algorithm, combined with tools such as Grasshopper, Ladybug, Honeybee and Wallacei, to provide scientific optimization decision intervals for morphology control and evaluation factors at the initial stage of coastal city block design. The effectiveness of this optimization strategy is verified through empirical research on typical coastal neighborhoods in Dalian. The results show that the strategy derived from the multi-objective optimization-based evaluation significantly improves the wind environment and thermal comfort of Dalian neighborhoods in winter and summer: the optimization reduced the average wind speed inside the block by 0.47 m/s and increased the UTCI by 0.48 °C in winter, and it increased the wind speed to 1.5 m/s and decreased the UTCI by 0.59 °C in summer. This study shows that the use of simulation assessment and multi-objective optimization technology to adjust the block form of coastal cities can effectively improve the seasonal wind and heat environment and provide a scientific basis for the design and renewal of coastal cities. Full article

(This article belongs to the Topic Advances in Low-Carbon, Climate-Resilient, and Sustainable Built Environment)

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