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

J Ferreira,

Tatiana Tucunduva Philippi Cortese, Tan Yiğitcanlar

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Ноя. 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.

Язык: Английский

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

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 113, С. 105710 - 105710

Опубликована: Июль 26, 2024

Язык: Английский

Процитировано

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

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 107, С. 105424 - 105424

Опубликована: Апрель 8, 2024

Язык: Английский

Процитировано

12

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

и другие.

International Journal of Disaster Risk Reduction, Год журнала: 2024, Номер 108, С. 104542 - 104542

Опубликована: Май 14, 2024

Язык: Английский

Процитировано

11

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

и другие.

Journal of Cleaner Production, Год журнала: 2024, Номер 479, С. 144008 - 144008

Опубликована: Окт. 20, 2024

Язык: Английский

Процитировано

10

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

и другие.

Geography and sustainability, Год журнала: 2025, Номер unknown, С. 100278 - 100278

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

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

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер unknown, С. 106029 - 106029

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

9

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

и другие.

Journal of Cleaner Production, Год журнала: 2024, Номер 445, С. 141383 - 141383

Опубликована: Фев. 20, 2024

Язык: Английский

Процитировано

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

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер unknown, С. 105996 - 105996

Опубликована: Ноя. 1, 2024

Язык: Английский

Процитировано

4

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

и другие.

Buildings, Год журнала: 2024, Номер 14(2), С. 502 - 502

Опубликована: Фев. 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.

Язык: Английский

Процитировано

3

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

и другие.

Land, Год журнала: 2024, Номер 13(4), С. 506 - 506

Опубликована: Апрель 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.

Язык: Английский

Процитировано

3