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Urban Science
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Urban Planning for Addressing Climate Change: Technologies, Innovations, Strategies and...
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Urban Planning for Addressing Climate Change: Technologies, Innovations, Strategies and Modelling

A special issue of Urban Science (ISSN 2413-8851). This special issue belongs to the section "Urban Planning and Design".

Deadline for manuscript submissions: 1 June 2027 | Viewed by 5176

Special Issue Editors

Dr. Peng Cui

E-Mail Website
Guest Editor
College of Landscape Architecture, Northeast Forestry University, Harbin 150000, China
Interests: urban and rural ecological planning; landscape ecology; application of 3s technologies; climate change adaptation; resilient human settlements
Special Issues, Collections and Topics in MDPI journals
Dr. Long Zhou

E-Mail Website
Guest Editor
Faculty of Innovation and Design, City University of Macau, Macau, China
Interests: ecological urban planning, design, and performance evaluation; quantitative analysis of high-density urban space
Dr. Jiayu Li

E-Mail Website
Guest Editor
School of Architecture and Art, Central South University, Changsha 410000, China
Interests: urban heat island; urban microclimate; climate adaptive design; urban greenery
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Climate change is closely related to human survival, production and development. In the face of increasingly frequent climate events, the issue of climate change has gradually become a global problem and has received widespread attention from countries and regions around the world.

Urban areas have high population densities and high economic concentrations and are therefore vulnerable to the impact of climate change. With the rapid development of urbanization, climate change has already and will continue to have a significant impact on the construction and development of cities, especially by posing serious threats to the safety of urban infrastructure such as energy, transportation and communication, as well as production and the lives of people. This Special Issue will bring together cutting-edge research that addresses these critical issues, providing insights and solutions to improve urban resilience and quality of life.

In this Special Issue, original research articles and reviews that cover a broad range of topics related to urban sustainability and climate adaptation planning are welcome. Potential themes may include, but are not limited to, the following:

(1) Investigations into urban microclimates, heat island effects and climate adaptation strategies in urban planning.

(2) Studies on sustainable urban planning practices, energy efficiency, disaster prevention and the integration of renewable energy sources into urban infrastructure.

(3) The mechanism by which urban layout affects the climate, include urban carbon emission prediction model, urban land surface temperature prediction model, urban climate prediction and other relevant issues.

(4) Case studies on the application of advanced technologies and policy measures in urban planning for addressing climate change.

(5) The mechanism of the impact of rapid urbanization on the urban climate.

We look forward to receiving your contributions.

Dr. Peng Cui
Dr. Long Zhou
Dr. Jiayu Li
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. Urban Science is an international peer-reviewed open access monthly 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 1800 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

  • urban climate change
  • urban heat island
  • low carbon
  • urban building energy
  • sustainable and resilient cities
  • carbon sink
  • urban renewal
  • climate adaptation planning
  • urban morphology

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Published Papers (4 papers)

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Research

31 pages, 10567 KB  
Article
Morphology-Oriented Layout Optimization for Enhancing Building-Cluster Photovoltaic Potential in Severe Cold Regions
by Xinxian Yin, Shengjing Xu, Peng Cui, Xingling Shao, Xuan Liu and Siyuan Zhang
Urban Sci. 2026, 10(5), 236; https://doi.org/10.3390/urbansci10050236 - 30 Apr 2026
Viewed by 178
Abstract
Under China’s carbon peaking and carbon neutrality goals, building-integrated photovoltaics (BIPV) are a key option for low-carbon urban transition. However, how urban morphology shapes effective PV potential in severe cold cities remains poorly understood. Previous work focuses on single buildings or citywide resource [...] Read more.
Under China’s carbon peaking and carbon neutrality goals, building-integrated photovoltaics (BIPV) are a key option for low-carbon urban transition. However, how urban morphology shapes effective PV potential in severe cold cities remains poorly understood. Previous work focuses on single buildings or citywide resource mapping and rarely yields actionable planning controls. Using Harbin as a case, this study integrates GIS with explainable machine learning to relate building-cluster morphology to effective PV generation potential. An XGBoost model is interpreted with SHAP and partial dependence analysis to quantify factor importance and response ranges. Building density (BD) and floor area ratio (FAR) are the dominant predictors, ranking above the other morphological indicators. PV density peaks at moderate BD (≈0.20–0.35) under medium-to-high development intensity, and it increases when building distribution is moderately even (NNI ≈ 1.3–1.5) with moderate height differentiation. These coupled responses define a Morphological Sweet Spot, indicating that higher PV performance depends on coordinated morphological configurations rather than on any single parameter. The framework provides an interpretable, data-driven basis for building-cluster BIPV assessment and for translating model outputs into morphology-based planning guidance for low-carbon renewal in severe cold regions. Full article
(This article belongs to the Special Issue Urban Planning for Addressing Climate Change: Technologies, Innovations, Strategies and Modelling)
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26 pages, 5591 KB  
Article
Rating and Spatial Pattern Analysis of Human–Land Symbiosis Relationship from an Ecological Perspective: A Case Study of the “Five Poles” Urban Agglomeration in the Yellow River Basin
by Xue Zhou and Xin Tang
Urban Sci. 2026, 10(1), 40; https://doi.org/10.3390/urbansci10010040 - 10 Jan 2026
Cited by 1 | Viewed by 1056
Abstract
The “Anthropocene” has witnessed unprecedented challenges to the sustainability of human development. Resolving the contradiction between humans and land and achieving coordinated development has become a pressing issue across many disciplines in the era of ecological civilization. This study adopts an ecological perspective [...] Read more.
The “Anthropocene” has witnessed unprecedented challenges to the sustainability of human development. Resolving the contradiction between humans and land and achieving coordinated development has become a pressing issue across many disciplines in the era of ecological civilization. This study adopts an ecological perspective to investigate the symbiotic relationship between humans and land in the “Five Poles” urban agglomerations of the Yellow River Basin. In this framework, ecosystem service value and human well-being are employed to quantify “human” and “land,” respectively. The Lotka–Volterra model is then applied as a structural analogy to quantify the dynamic interactions within this symbiotic relationship, treating ecosystem service value and human well-being as two interdependent systems with feedback mechanisms. For the “Five Poles” urban agglomerations in the Yellow River Basin, the ecosystem service and human well-being pressures, along with the symbiosis indices for the period 2011–2020, were calculated and categorized. The results were first subjected to a visual analysis to describe the spatial patterns. Subsequently, spatial autocorrelation analysis was employed to quantitatively investigate the clustering and heterogeneity of these patterns, thereby systematically elucidating the spatial characteristics of human–land symbiosis in the Yellow River Basin. The findings indicate that: (1) the human–land relationship in the Yellow River Basin has evolved from partial interaction to mutualism, reflecting improved coordination within the regional human–land system. (2) The evaluation of this relationship improved between 2011–2015 and 2016–2020. (3) High-evaluation areas have shifted from east to west, exhibiting distinct agglomeration characteristics. Full article
(This article belongs to the Special Issue Urban Planning for Addressing Climate Change: Technologies, Innovations, Strategies and Modelling)
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16 pages, 770 KB  
Article
The Influence of Public Knowledge on the Use of Urban Infrastructure for Adaptation to Climate Change: The Case of Climate Shelters in Barcelona
by Laura Ghiani-Beltrán and María Belén Gómez-Martín
Urban Sci. 2025, 9(11), 452; https://doi.org/10.3390/urbansci9110452 - 1 Nov 2025
Viewed by 1029
Abstract
This article examines the level of public knowledge regarding the development of a network of climate shelters in Barcelona and the degree of acceptance by city residents (use and rating of the network) of this strategy of adaptation to extreme temperatures. This question [...] Read more.
This article examines the level of public knowledge regarding the development of a network of climate shelters in Barcelona and the degree of acceptance by city residents (use and rating of the network) of this strategy of adaptation to extreme temperatures. This question is of interest due to the information deficit in communication about climate adaptation processes and the relatively minor role attributed to communication in climate governance, could be a barrier to public participation in these processes. The research used the survey technique. A total of 300 surveys were carried out face-to-face at 30 points in the network. The results show that the mere existence of these facilities in the city does not guarantee that they can be used effectively by residents. Their use depends on the level of knowledge, which is the result in part of the information provided to potential users and the communication strategies applied to this end. The study highlights that although general information about the existence of a network has reached the residents, more specific information about the rollout of the network at city and district level has been clearly insufficient. The people of Barcelona have serious difficulties in identifying the nodes in this network so as to be able to use them in times of need. This research provides ideas that could contribute to the better design of an information and communication strategy that would improve knowledge of the city’s climate shelters. The planning and implementation of climate shelter networks must take the information and communication variable into account, in order to promote the use of these facilities and improve effective climate-related action. Full article
(This article belongs to the Special Issue Urban Planning for Addressing Climate Change: Technologies, Innovations, Strategies and Modelling)
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22 pages, 18187 KB  
Article
Optimization of CMIP6 Precipitation Projection Based on Bayesian Model Averaging Approach and Future Urban Precipitation Risk Assessment: A Case Study of Shanghai
by Yifeng Qin, Caihua Yang, Hao Wu, Changkun Xie, Afshin Afshari, Veselin Krustev, Shengbing He and Shengquan Che
Urban Sci. 2025, 9(9), 331; https://doi.org/10.3390/urbansci9090331 - 25 Aug 2025
Cited by 2 | Viewed by 1903
Abstract
Urban flooding, intensified by climate change, poses significant threats to sustainable development, necessitating accurate precipitation projections for effective risk management. This study utilized Bayesian Model Averaging (BMA) to optimize CMIP6 multi-model ensemble precipitation projections for Shanghai, integrating Delta statistical downscaling with observational data [...] Read more.
Urban flooding, intensified by climate change, poses significant threats to sustainable development, necessitating accurate precipitation projections for effective risk management. This study utilized Bayesian Model Averaging (BMA) to optimize CMIP6 multi-model ensemble precipitation projections for Shanghai, integrating Delta statistical downscaling with observational data to enhance spatial accuracy and reduce uncertainty. After downscaling, RMSE values of daily precipitation for individual models range from 10.158 to 12.512, with correlation coefficients between −0.009 and 0.0047. The BMA exhibits an RMSE of 8.105 and a correlation coefficient of 0.056, demonstrating better accuracy compared to individual models. The BMA-weighted projections, coupled with Soil Conservation Service Curve Number (SCS-CN) hydrological model and drainage capacity constraints, reveal spatiotemporal flood risk patterns under Shared Socioeconomic Pathway (SSP) 245 and SSP585 scenarios. Key findings indicate that while SSP245 shows stable extreme precipitation intensity, SSP585 drives substantial increases—particularly for 50-year and 100-year return periods, with late 21st century maximums rising by 24.9% and 32.6%, respectively, compared to mid-century. Spatially, flood risk concentrates in peripheral districts due to higher precipitation exposure and average drainage capacity, contrasting with the lower-risk central urban core. This study establishes a watershed-based risk assessment framework linking climate projections directly to urban drainage planning, proposing differentiated strategies: green infrastructure for runoff reduction in high-risk areas, drainage system integration for vulnerable suburbs, and ecological restoration for coastal zones. This integrated methodology provides a replicable approach for climate-resilient urban flood management, demonstrating that effective adaptation requires scenario-specific spatial targeting. Full article
(This article belongs to the Special Issue Urban Planning for Addressing Climate Change: Technologies, Innovations, Strategies and Modelling)
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