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

Enhancing urban flood resilience: A coupling coordinated evaluation and geographical factor analysis under SES-PSR framework DOI Creative Commons
Shi‐Yao Zhu, Haibo Feng, Mehrdad Arashpour

et al.

International Journal of Disaster Risk Reduction, Journal Year: 2024, Volume and Issue: 101, P. 104243 - 104243

Published: Jan. 3, 2024

Urban flooding has emerged as a significant urban issue in cities worldwide, with China being particularly affected. To effectively manage and mitigate floods, holistic examination of the interaction between subsystems is required to improve flood resilience. However, interactions mechanisms under disaster haven't been addressed adequately previous studies. Therefore, this paper established conceptual framework for illustrating natural-ecological social-economic subsystem considering pressure, state, response within cycle. The objective investigate coupling coordination degree (CCD) these identify driving factors geographical detector model, Yangtze River Delta are selected an empirical example. findings reveal overall upward trend towards whole area notable variability among cities. resilience state dimension emerges crucial aspect determining CCD area. Key coordinated development identified air pollution, global warming, technological innovation, governance power, financial strength, urbanization. Based on factors, presents potential implications that can serve effective guidance offer insights policymakers, planners, researchers their efforts enhance sustainable future.

Language: Английский

Citations

17
Research Progress and Prospects of Urban Flooding Simulation: From Traditional Numerical Models to Deep Learning Approaches DOI

Bowei Zeng,

Guoru Huang, Wenjie Chen

et al.

Environmental Modelling & Software, Journal Year: 2024, Volume and Issue: unknown, P. 106213 - 106213

Published: Sept. 1, 2024

Language: Английский

Citations

8
Assessment of urban waterlogging-induced road traffic safety risk and identification of its driving factors: A case study of Beijing DOI
Zihao Yang, Hao Wang, Bin Chen

et al.

Transportation Research Part A Policy and Practice, Journal Year: 2024, Volume and Issue: 183, P. 104080 - 104080

Published: April 21, 2024

Language: Английский

Citations

6
A Novel GIS-SWMM-ABM Approach for Flood Risk Assessment in Data-Scarce Urban Drainage Systems DOI Open Access
Shakeel Ahmad, Haifeng Jia, Anam Ashraf

et al.

Water, Journal Year: 2024, Volume and Issue: 16(11), P. 1464 - 1464

Published: May 21, 2024

Urbanization and climate change pose a critical challenge to stormwater management, particularly in rapidly developing cities. These cities experience increasingly impervious surfaces more intense rainfall events. This study investigates the effectiveness of existing drainage system Lahore, Pakistan, megacity challenged by rapid urbanization impacts change. To address lack predefined storm patterns limited historical records, we employed well-established yet adaptable methodology. methodology utilizes log-Pearson type III (LPT-III) distribution alternating block method (ABM) create design hyetographs for various return periods. applied management model (SWMM) representative community 2.71 km2 assess its capacity. Additionally, geographic information systems (GISs) were used spatial analysis flood risk mapping identify flood-prone zones. The results indicate that current system, designed 2-year period, is inadequate. For example, produced total volume 0.07 million gallons, inundating approximately 60% area. identified zones highlighted limitations handling future, emphasizes urgent need infrastructure improvements handle increased runoff volumes such as integration low-impact development practices. nature-based solutions enhance infiltration, reduce runoff, improve water quality, offering sustainable approach mitigating risks. Importantly, this demonstrates integrating LPT-III ABM provides robust assessment. effective countries where data scarcity diverse may hinder traditional modeling techniques. Our findings reveal overwhelmed, with exceeding capacity resulting extensive flooding, affecting over half application improved assessment enabling creation realistic data-scarce regions, leading accurate identification areas.

Language: Английский

Citations

5
An Improved Coupled Hydrologic-Hydrodynamic Model for Urban Flood Simulations Under Varied Scenarios DOI
Siwei Cheng, Mingxiang Yang, Chenglin Li

et al.

Water Resources Management, Journal Year: 2024, Volume and Issue: 38(14), P. 5523 - 5539

Published: Aug. 26, 2024

Language: Английский

Citations

4
An integrated assessment of urban flooding risk and resilience based on spatial grids DOI

Zhenliang Liao,

Xinyu He, Wenchong Tian

et al.

Urban Water Journal, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 12

Published: Jan. 2, 2025

During heavy rainfall events, stormwater exceeds the drainage capacity and overflows onto urban surface, causing flooding problems. Risk resilience assess severity recovery characteristics of damage from static dynamic perspectives independently. This work proposes a spatial grid-based integrated risk-resilience assessment framework for to consider both risk aspects at detailed level. The formulates an drainage-surface coupled model simulate inundation process. A classification method is proposed identify flood-affected each grid, with values considering socio-economic step-by-step dynamics. According case results discussion, classifies all grids into four types different levels, in which 7.02% are identified as worst type high low resilience. enables detailed-level targeted management

Language: Английский

Citations

0
A Two-Level Early Warning System on Urban Floods Caused by Rainstorm DOI Open Access

Qian Gu,

Fuxin Chai,

Wenbin Zang

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(5), P. 2147 - 2147

Published: March 1, 2025

In recent years, the combined effects of rapid urbanization and climate change have led to frequent floods in urban areas. Rainstorm flood risk warning systems play a crucial role prevention mitigation. However, there has been limited research China on nationwide based rainfall predictions. This study constructs two-level early system (EWS) at national levels using two-dimensional hydrological–hydrodynamic model considering infiltration drainage standards. A methodology for rainstorm warnings is proposed, leveraging short-term high-resolution forecast data provide 231 cities central eastern China. Taking Beijing as an example, refined technique targeting city, district, street scales developed. We validated with monitoring from “7.31” event 2023 Beijing, demonstrating its applicability. It expected that findings this will serve valuable reference

Language: Английский

Citations

0
Assessment of urban rail transit network passenger-centered resilience under hazards: A dynamic resilience assessment framework DOI
Ying Lu, Mingxu Yi,

Jianqiang Cui

et al.

Accident Analysis & Prevention, Journal Year: 2025, Volume and Issue: 217, P. 108042 - 108042

Published: April 22, 2025

Language: Английский

Citations

0
Classification and Planning Strategies of Multidimensional Resilience Units for Urban Waterlogging: A Case Study of the Old City District in Shijiazhuang, China DOI Open Access

Lili Ni,

Jing-Lun Li, Aihemaiti Namaiti

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(7), P. 2717 - 2717

Published: March 26, 2024

The frequency of urban disasters such as waterlogging has markedly increased, highlighting the urgent need to strengthen disaster prevention capabilities and resilience. This research, anchored in resilience characteristics robustness, redundancy, resource deploy ability, rapid response, devised a clustering factor system specifically designed for older districts. old city district Shijiazhuang, China, was selected empirical case study area. research employs K-Means++ method analyze region’s units against waterlogging. Furthermore, it utilizes pedigree classification categorize identified ten types Secondly, these were subsequently divided into three primary categories based on spectrum strengths weaknesses within each unit: dominant, mixed, disadvantaged clustering. categorization unveiled unique distribution patterns findings this reveal pronounced differentiation among Shijiazhuang’s district. spatial analysis highlighted significant heterogeneity, with tendency towards cluster formation. different unit found be uneven, leading emergence clustered, patch-like, zonal agglomerations. Combined mean performance factor, response control planning is determined area, strategy linkage proposed. By mapping rainwater across studied broadens scope evaluation from traditional vertical-level assessment more comprehensive horizontal typological analysis, offering empirical, theoretical insights future resilience-building endeavors

Language: Английский

Citations

3
Modelling Trends in Urban Flood Resilience towards Improving the Adaptability of Cities DOI Open Access
Wenping Xu,

Xinyan Cai,

Qimeng Yu

et al.

Water, Journal Year: 2024, Volume and Issue: 16(11), P. 1614 - 1614

Published: June 5, 2024

Urban flooding is one of the main challenges affecting sustainable urban development worldwide, threatening safety and well-being communities citizens. The aim this study to assess trends in flood resilience at city scale, as well improve cities these risks over time. constructs a model for assessing that incorporates economic, social, ecological, managerial aspects assesses them through range indicators identified literature. comprehensive evaluation Network Analysis Method–Entropy Weight Method–The Distance between Excellent Inferior Solutions (ANP-EWM-TOPSIS) was used empirically investigate characteristics Nanjing from 2010 2021. There are two findings study: firstly, gradually improves time, economic steadily increases, while management decreases; secondly, during period, barriers caused by regulatory factors decreased 33.75% 23.72%, respectively, social ecological increased 32.69% 24.68%, respectively. novelty introduction “barrier degree” model, which identifies highlights obstacles improving provides new insights into scale.

Language: Английский

Citations

2