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

A novel framework for evidence-based assessment of flood resilience integrating multi-source evidence: A case study of the Yangtze River Economic Belt, China DOI Creative Commons

Zhixia Wu,

Yijun Chen, Xiazhong Zheng

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 167, P. 112705 - 112705

Published: Oct. 1, 2024

Language: Английский

Citations

2
Urban flood numerical modeling and hydraulic performance of a drainage network: A case study in Algiers, Algeria DOI Creative Commons

El khansa Lameche,

Hamouda Boutaghane, Mohamed Saber

et al.

Water Science & Technology, Journal Year: 2023, Volume and Issue: 88(7), P. 1635 - 1656

Published: Sept. 11, 2023

Abstract Urban sewer system management is challenging due to its higher vulnerability flooding caused by rapid urbanization and climate change. For local decision-makers, storm water essential for urban planning development. Therefore, the main objective of this study develop a numerical model sewerage network central catchment area Algiers since it has experienced frequent overflows during winter season. purpose, networks, was built coupling ArcGIS with MIKE URBAN. Its calibration validation were performed using real-time measurements time step 15 min. The evaluated several statistical indicators, such as coefficient determination (R2), Nash–Sutcliffe efficiency (NSE), root mean square error (RMSE), percent bias (PBIAS). results showed acceptable performance, an NSE superior 0.50, R2 approximately 0.63, RMSE 7%, PBIAS 10% model. performance parameters prove reliability developed employed can be applied in other regions could helpful policymakers managers improve flood mitigation measures based on prediction network.

Language: Английский

Citations

5
Cloud Modelling of Property-Level Flood Exposure in Megacities DOI Open Access
Christos Iliadis, Vassilis Glenis, Chris Kilsby

et al.

Water, Journal Year: 2023, Volume and Issue: 15(19), P. 3395 - 3395

Published: Sept. 27, 2023

Surface water flood risk is projected to increase worldwide due the growth of cities as well frequency extreme rainfall events. Flood modelling at high resolution in megacities now feasible advent spatial terrain data, fast and accurate hydrodynamic models, power cloud computing platforms. Analysing exposure urban features these during multiple storm events essential understanding for insurance planning ultimately designing resilient solutions. This study focuses on London, UK, a sprawling megacity that has experienced damaging floods last few years. The analysis highlights key role digital models (DTMs) models. individual building level evaluated using outputs from CityCAT model driven by range design storms different magnitudes, including validation with observations real event hit London 12 July 2021. Overall, novel demonstration presented how cloud-based can be used inform resilience any size worldwide, specification what datasets are needed achieve this aim.

Language: Английский

Citations

4
Scenario-Based Simulation of Impervious Surfaces for Detecting the Effects of Landscape Patterns on Urban Waterlogging DOI Creative Commons

Jiahui Li,

Hao Hou,

Yindong Zhang

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(12), P. 2130 - 2130

Published: June 12, 2024

With the increase in global extreme climate events, frequency of urban waterlogging caused by rainstorms is increasing, resulting serious economic losses and risk to local residents. Understanding influence impervious surfaces on great significance for reducing disasters. Based InfoWorks ICM, model Lin’an City was established, multi-scenario design method used analyze characteristics causes under different designed rainfall return periods. The results show that maximum stagnant water depth area are positively correlated with proportion In addition, related fragmentation surfaces, pipeline network, so on. findings, it suggested should be placed upstream along roads where feasible. It also recommended aggregation minimized prevent waterlogging. provide technical support reference governments

Language: Английский

Citations

1
Navigating the definition of urban flooding: a conceptual and systematic review of the literature DOI Creative Commons
Priscila Barros Ramalho Alves,

Ebenezer Amanguah,

Diane McNally

et al.

Water Science & Technology, Journal Year: 2024, Volume and Issue: 90(10), P. 2796 - 2812

Published: Oct. 23, 2024

Urban flooding is a pervasive global risk, posing great challenge to urban planners, policymakers, and particularly communities. This paper reviews the literature analyze how defined across scientific disciplines. Our objectives are uncover elements used define evaluate these can impact future research practice. A key difficulty lack of consistent, comprehensive definition that captures both physical social dimensions flooding. Current definitions often focus solely on aspects (e.g., rainfall, infrastructure) or impacts, rarely integrating both. fragmentation hinders effective flood risk management interdisciplinary collaboration. contribution multifaceted incorporating spatial concerns, including water origins, built environment characteristics, local community aspects. We introduce 'Urban Water Transect' concept illustrate continuum zones, addressing gap in literature. The analysis reveals many papers discuss causes without providing an explicit definition. predominantly based source, imperviousness, drainage infrastructure. Future should adopt perspective considering aspects, potentially transforming management.

Language: Английский

Citations

1
An enhanced dynamic-network-based framework for quantifying and enhancing the resilience of disaster response networks to old communities under rainstorm waterlogging DOI
Tiantian Gu,

Yongchao Wang,

Lingzhi Li

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 372, P. 123098 - 123098

Published: Nov. 16, 2024

Language: Английский

Citations

1
Urban flood resilience evaluation in China: a systematic review of frameworks, methods, and limitations DOI Creative Commons
Long Liu, Yin Junjia, Jiao Wang

et al.

Geomatics Natural Hazards and Risk, Journal Year: 2024, Volume and Issue: 16(1)

Published: Dec. 23, 2024

With the acceleration of climate change and urbanization, impacts floods on Chinese cities have become increasingly severe, improving urban flood resilience has an urgent issue. Although scholars in China proposed many methods to evaluate last decade, research this field not been critically reviewed thoroughly detail. Therefore, study selects high-quality original papers from previous decade focuses analyzing location, framework, data, analytical methods, limitations current assessment methods. The study's main objective is inform identification a system applicable context while revealing existing methodology's shortcomings data accuracy quality, consideration regional variability, indicator validity. Finally, finds significant challenges eight areas: talent pool, public participation, investment financing mechanisms. It provides targeted strategies, such as building multi-sectoral synergistic governance mechanism.

Language: Английский

Citations

1
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

Citations

0