Building a Resilient City through Sustainable Flood Risk Management: The Flood-Prone Area of Phra Nakhon Sri Ayutthaya, Thailand DOI Open Access
Phichet Munpa,

Atima Dubsok,

Athit Phetrak

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(15), P. 6450 - 6450

Published: July 28, 2024

Resilience has gained significant prominence in the management of climate-related shocks and minimization disaster risks. Assessing flood resilience is, therefore, crucial identifying areas lacking support opportunities for development. Comprehensive risk assessments are urgently required, especially prone to floods. By applying Analytical Hierarchy Process (AHP), stakeholder meetings, keyword analysis, this study aims assess Phra Nakhon Sri Ayutthaya Province (PNSAP) Thailand, an area at high flooding home a UNESCO World Heritage Site. According Arup Rockefeller Foundation’s City indicators, key elements building PNSAP include effective emergency response services, comprehensive hazard monitoring assessment, medical care. In addition, focus group discussions analysis identified following critical components strengthening resilience: “financial aspects”, “community awareness preparedness”, “multi-stakeholder collaboration”, “citizen engagement”, “urban data management.” Moreover, gain insight into perceptions people local communities, results household survey (n = 552) indicated that approximately one-third respondents had never engaged preparedness activities. Neither gender nor education level significantly influenced their engagement preparedness. The also perceived infrastructure flexibility, affordable transport networks, management, adequate provision reliable communication systems were important during disaster. These provide valuable community’s perception effectiveness reduction mechanisms can serve as useful guide future resilience-building initiatives. addressing these factors, could enhance its impacts contribute global field building.

Language: Английский

Toward Explainable Flood Risk Prediction: Integrating A Novel Hybrid Machine Learning Model DOI
Yongyang Wang, Pan Zhang, Yulei Xie

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106140 - 106140

Published: Jan. 1, 2025

Language: Английский

Citations

3
Prioritizing stakeholder interactions in disaster management: A TOPSIS-based decision support tool for enhancing community resilience DOI Creative Commons
Sahar Elkady, Sara Mehryar, Josune Hernantes

et al.

Progress in Disaster Science, Journal Year: 2024, Volume and Issue: 22, P. 100320 - 100320

Published: March 1, 2024

The escalating impact of disasters underscores the urgency building resilient communities. Interactions among community stakeholders play a pivotal role in fostering resilience but improving such interactions is often hindered by competing priorities and resource limitations. To address this challenge, paper proposes decision support tool aimed at prioritizing context-specific interventions that enhance stakeholder disaster management. includes two phases: (1) impact-based prioritization, identifying most significant factors influencing evaluating relative importance each factor based on their direct indirect influence; (2) feasibility-based assessing practicality designed to improve identified phase 1. We surveyed Spanish emergency experts gather data interaction evaluations against decision-making criteria. applied Technique for Order Preference Similarity Ideal Solution (TOPSIS) analyze data. results indicate initiatives focusing enhancing leadership skills managers emerge as feasible impactful our case study, followed facilitating participation process response activities. On other hand, functionality, risk management plans are less implement. Additionally, we evaluated usability together with from different sectors. received an overall positive evaluation experts, highlighting significance human status quo bias structuring judgment decision-support tools while acknowledging potential resistance users utilizing due lack education training. empowers policymakers practitioners effectively build communities offering them systematic approach prioritize resilience.

Language: Английский

Citations

12
Counterfactual analysis of extreme events in urban flooding scenarios DOI Creative Commons
Xiaolan Chen, Hongtao Li, Haijun Yu

et al.

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 57, P. 102166 - 102166

Published: Jan. 2, 2025

Language: Английский

Citations

1
A Review of Residual Flood Risks in South African-Vulnerable Coastal Communities: Opportunities to Influence Policy DOI Creative Commons
Indrani Hazel Govender, Maliga Reddy, Rajendran Pillay

et al.

IntechOpen eBooks, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 5, 2025

In recent years, many parts of South Africa have been devastated by floods, impacting severely on the most vulnerable communities. Despite measures to reduce flood risk, and implementation adaptation measures, there is always a measure harm livelihoods, health wellbeing, economy, which persist far beyond events. This particular concern as events increased in frequency severity. A review literature, addressing risk management, mitigation coastal communities Africa, was conducted, determine how manage residual risks through resilience recovery programs, employing suitable tools, inclusive appropriate multidisciplinary stakeholders. study interrogated different approaches used assess social vulnerabilities, perception role communication information dissemination. Economic implications pertaining tourism, livelihoods loss natural built infrastructure were analyzed. Risk tools including early warning systems assessment models analyzed, various future scenarios explored. Possible opportunities presented negative impacts achieving SDGs The findings indicate that strengthening depends heavily collaboration across sectors cater for local needs. Cooperation between government, private sector critical sustainable solutions management.

Language: Английский

Citations

1
A Complex Network Approach to Quantifying Flood Resilience in High-Density Coastal Urban Areas: A Case Study of Macau DOI
Rui Zhang, Yangli Li, Chong Li

et al.

International Journal of Disaster Risk Reduction, Journal Year: 2025, Volume and Issue: unknown, P. 105335 - 105335

Published: Feb. 1, 2025

Language: Английский

Citations

1
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
Combating urban heat: Systematic review of urban resilience and adaptation strategies DOI Creative Commons
Qingchen Fu,

Zhouhua Zheng,

Md Nazirul Islam Sarker

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(17), P. e37001 - e37001

Published: Aug. 27, 2024

Language: Английский

Citations

6
Leveraging geo-computational innovations for sustainable disaster management to enhance flood resilience DOI Creative Commons

Harshita Jain

Discover Geoscience, Journal Year: 2024, Volume and Issue: 2(1)

Published: July 16, 2024

Abstract The increasing frequency of flood disasters around the globe highlights need for creative approaches to improve disaster preparedness. This thorough analysis and assessment explore topic enhancing resilience by utilising cutting-edge geo-computational techniques. By combining a variety techniques, such as remote sensing, geographic information systems (GIS), LiDAR, unmanned aerial vehicles (UAVs), technologies like machine learning geospatial big data analytics, study provides complex framework monitoring, risk assessment, mitigation. using sensing technology, occurrences can be tracked in real time inundations may precisely mapped, which makes proactive response plans possible. GIS facilitates effective evacuation planning streamlining spatial decision-making procedures providing critical insights into risky locations. High-resolution elevation is provided LiDAR essential precise modelling simulation. Unmanned Aerial Vehicles (UAVs) quickly deployed assist with situational awareness damage during disaster. Furthermore, predictive skills are enhanced combination opening door creation adaptive reaction early warning systems. investigation how tools significantly community lessen negative effects disasters. After review literature case studies, this clarifies these might preparation great extent.

Language: Английский

Citations

5
Assessing the Impacts of Rainstorm and Flood Disaster for Improving the Resilience of Transportation System DOI Creative Commons
Zhenzhen Yang

Journal of Advanced Transportation, Journal Year: 2024, Volume and Issue: 2024(1)

Published: Jan. 1, 2024

Rainstorm and the induced flood disaster often cause serious damage to transportation system, resulting in loss of life property. To improve resilience this study proposes a framework for assessing impacts rainstorm on road network based GPS data. The change ratio traffic flow congestion index are used evaluate disrupted detour sections caused by rainstorm. A method compared normal circumstances is proposed identify flood‐damaged sections. case Beijing verifies feasibility practicality framework, which can effectively assess from multiple spatial temporal dimensions, sections, supplement existing research. Research findings provide scientific basis emergency management departments accurately roads affected system.

Language: Английский

Citations

4
Revisiting Urban Resilience: A Systematic Review of Multiple-Scale Urban Form Indicators in Flood Resilience Assessment DOI Open Access
Mahmoud Mabrouk, Haoying Han, Mahran Gamal N. Mahran

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(12), P. 5076 - 5076

Published: June 14, 2024

Despite the increasing number of flood studies, interrelationships between urban form indices (UFIs) and resilience (FR) have received little attention hold miscellaneous perspectives. Consequentially, this study identifies how UFIs at various spatial scales affect FR by synthesizing article findings proposing insights for future research. Scientometric analysis has been used to analyze gathered peer-reviewed articles from nine research engines without time restrictions. One hundred eighteen relevant were included thoroughly investigated using Preferred Reporting Items Systematic Reviews Meta-Analyses (PRISMA) protocol. Our indicate that divergent dialectical perspectives about efficacy are due multiple disciplines, methodologies, different case contexts. The studies classified according scale as macro (citywide), meso (districts), micro (block), multi-scalar 80.5%, 6.8%, 10.2%, 2.4%, respectively. Furthermore, categorized based on type into realistic literature reviews, modeling, hybrid analysis, with 74.6%, 7.6%, 14.4%, 3.4%, At macroscale, city density distribution degree most significant effect FR. same time, mixed uses, connectivity, coverage ratio, block arrangements, street characteristics scales. Further trade-offs commonality UFIs, FR, overall required shape climate-adaptive, sustainable communities.

Language: Английский

Citations

4