Urban Planning for Disaster Risk Reduction: A Systematic Review of Essential Requirements DOI Creative Commons

J Ferreira,

Tatiana Tucunduva Philippi Cortese, Tan Yiğitcanlar

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 15, 2024

Abstract Urban planning is critical in mitigating the impacts of disasters, enhancing community resilience and promoting sustainable development. This review study systematically analyzes role urban disaster risk reduction (DRR) through a Preferred Reporting Items for Systematic Reviews Meta-Analyses (PRISMA) approach. By reviewing scholarly articles case studies, this paper examines various strategies that contribute to DRR, including land use planning, infrastructure development, mapping, engagement. The findings highlight effectiveness integrating assessments into processes, importance adaptive design, need inclusive practices involve local communities decision-making. also identifies challenges such as inadequate policy implementation, lack resources, interdisciplinary collaboration, analyzing participation academic importance, correlating publication papers with number reported disasters. Through comprehensive analysis existing literature, underscores potential reduce risks enhance resilience. concludes recommendations policymakers, planners, researchers strengthen DRR initiatives via strategic practices. contributes growing body knowledge emphasizes creating safer, more resilient cities.

Language: Английский

Resilience assessment of subway system to waterlogging disaster DOI
Fei Xu, Delin Fang, Bin Chen

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 113, P. 105710 - 105710

Published: July 26, 2024

Language: Английский

Citations

14
Evaluation framework ACR-UFDR for urban form disaster resilience under rainstorm and flood scenarios: A case study in Nanjing, China DOI
Yixin Liang, Chunhui Wang, Gang Chen

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 107, P. 105424 - 105424

Published: April 8, 2024

Language: Английский

Citations

12
Mitigating urban flood Hazards: Hybrid strategy of structural measures DOI
Hyeon‐Tae Moon, Jong‐Suk Kim, Jie Chen

et al.

International Journal of Disaster Risk Reduction, Journal Year: 2024, Volume and Issue: 108, P. 104542 - 104542

Published: May 14, 2024

Language: Английский

Citations

11
A new framework for assessing and dealing with heat risk from an urban resilience perspective DOI
Teng Zhang, Yixuan Sun, Run Wang

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 479, P. 144008 - 144008

Published: Oct. 20, 2024

Language: Английский

Citations

10
Identifying key drivers of urban flood resilience for effective management: Insights and implications DOI Creative Commons
Yongyang Wang, Yulei Xie, Lei Chen

et al.

Geography and sustainability, Journal Year: 2025, Volume and Issue: unknown, P. 100278 - 100278

Published: Feb. 1, 2025

Language: Английский

Citations

1
Attribution analysis of urban social resilience differences under rainstorm disaster impact: Insights from interpretable spatial machine learning framework DOI

Tianshun Gu,

Hongbo Zhao, Yue Li

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 106029 - 106029

Published: Dec. 1, 2024

Language: Английский

Citations

9
Urban resilience assessment from the perspective of cross-media carbon metabolism DOI
Dan Qiao, Shuo Shen, Jiaxuan Chen

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 445, P. 141383 - 141383

Published: Feb. 20, 2024

Language: Английский

Citations

4
Coupling Dynamics of Urban Flood Resilience in China from 2012 to 2022: A Network-Based Approach DOI Creative Commons
Zhang Chen, Shi‐Yao Zhu, Haibo Feng

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 105996 - 105996

Published: Nov. 1, 2024

Language: Английский

Citations

4
Spatiotemporal Evolution and Influencing Factors for Urban Resilience in China: A Provincial Analysis DOI Creative Commons
Beibei Zhang, Yizhi Liu, Yan Liu

et al.

Buildings, Journal Year: 2024, Volume and Issue: 14(2), P. 502 - 502

Published: Feb. 11, 2024

In the current era, as modern cities increasingly face environmental disasters and inherent challenges, creation enhancement of resilient have become critical. China’s urban resilience exhibits significant imbalances inadequacies at provincial level. This study delves into evolution in various Chinese provinces, offering valuable insights for building nurturing cities. Initially, a comprehensive evaluation system was established, incorporating 24 indicators across three key aspects: resistance, adaptability, recovery. The entropy weight method used to develop an model, Moran index spatial cold–hot-spot analysis were applied examine spatiotemporal dynamics 31 provinces from 2012 2021. Moreover, geographically temporally weighted regression model employed analyze distribution factors affecting resilience. results show general upward trend with notable regional differences concentrations. A decrease is observed southeastern coastal inland regions. highlights variations impact different factors, same factor having varying effects provinces. research provides thorough understanding influencing China, contributing both theoretical practical discussions on topic. It lays strong scientific groundwork development advancement China.

Language: Английский

Citations

3
Spatial-Temporal Assessment of Urban Resilience to Disasters: A Case Study in Chengdu, China DOI Creative Commons
Yang Wei, Tetsuo Kidokoro, Fumihiko Seta

et al.

Land, Journal Year: 2024, Volume and Issue: 13(4), P. 506 - 506

Published: April 12, 2024

Urban areas with an imbalanced vulnerability to disasters have garnered attention. Building urban resilience index helps develop a progressively favored instrument for tracking progress toward disaster-resilient cities. However, there remains lack of empirical studies on measuring resilience, limited focus the spatial-temporal characteristics disasters, particularly relevant in developing nations like China. Thus, refined based subcomponents infrastructure, environment, socio-economy, and institution is suggested this study. This index-based assessment framework applied validated measure using real-world case study Chengdu, The main findings indicate that: (1) overall Chengdu has been growing better conditions, infrastructural accounting majority growth. (2) distribution exhibits regional disparity spatially polarized pattern. (3) agglomeration are significant. (4) There clear mismatch disaster risk. model offers comprehensive replicable approach planning, especially disaster-frequent regions.

Language: Английский

Citations

3