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

A special issue of Urban Science (ISSN 2413-8851).

Deadline for manuscript submissions: 1 June 2026 | Viewed by 526

Special Issue Editors

College of Landscape Architecture, Northeast Forestry University, Harbin 150040, China
Interests: urban modelling and simulation; urban energy and climate concepts; urban adaptation planning; urban morphology; urban heat island; resilient urban planning

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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
School of Architecture and Art, Central South University, Changsha 410000, China
Interests: urban heat island; urban microclimate; climate adaptive design; urban greenery
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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

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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 1600 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 (1 paper)

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Research

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
Viewed by 277
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
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