UAVs as a Tool for Optimizing Boat-Supported Flood Evacuation Operations DOI Creative Commons
Lara G. Moussa,

Raluca Diaconu,

Michael S. Watt

et al.

Drones, Journal Year: 2024, Volume and Issue: 8(11), P. 621 - 621

Published: Oct. 29, 2024

The frequency and intensity of flood events are increasing year by as a result climate change. This poses significant threats to human settlements adversely affects biodiversity, agriculture, infrastructure. One the most prominent traditional evacuation approaches is through use boats. Nonetheless, serious challenges exist with respect determining optimal deployment locations, routes, timing. Given research advances in Unmanned Aerial Vehicles (UAVs) sector—and their ability offer real-time data aerial monitoring services—we argue that applications could help enhance boat-supported operations. In this opinion piece, we explore new opportunities for disaster management underscore advantages integrating UAVs into methodologies, including areas rapid field assessment, route planning, improved coordination between rescue Notwithstanding potential UAVs, emphasize several gaps be explored terms large-scale management/processing, regulatory limitations, technological know-how. Furthermore, provide recommendations bolstering boat protocols, preparedness training programs, policy frameworks, emergency response systems, which maximize efficacy scenarios.

Language: Английский

A systematic review of methodologies for human behavior modelling and routing optimization in large-scale evacuation planning DOI Creative Commons

Razan Y. Aldahlawi,

Vahid Akbari, Glyn Lawson

et al.

International Journal of Disaster Risk Reduction, Journal Year: 2024, Volume and Issue: 110, P. 104638 - 104638

Published: June 26, 2024

Frequent and escalating natural disasters pose an increasing threat to society the environment. Effective disaster management strategies are crucial mitigate their impact. This paper reviews recent methodologies for large-scale evacuation planning, a key element in risk reduction. A systematic analysis of 100 articles conference proceedings focusing on human factors/behavior modeling routing optimization, reveals that Agent-Based Simulation (ABS) is commonly used predict factors/behaviors. Heuristics/metaheuristics traffic assignment techniques dominate often aiming identify shortest path. While decisions route choice extensively studied, optimization approaches frequently lack integration with modeling. review underscores need further research enhance planning by integrating increased effectiveness efficiency.

Language: Английский

Citations

9
Urban flood risk assessment and evacuation planning: a bi-level optimization model for sustainable high-density coastal areas DOI Creative Commons
Xinyue Gu, Yan Mao, Xintao Liu

et al.

Annals of GIS, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 13

Published: Jan. 13, 2025

Flooding caused by extreme climate change is becoming increasingly severe, especially in high-density coastal areas worldwide. Although many studies have conducted risk assessments of urban floods, most not formed a comprehensive evacuation plan considering population distribution and flood disaster risk. To further enhance planning emergency management for areas, this study uses Victoria Harbor Hong Kong, typical flood-prone region, as research area. The first conducts exposure assessment classifies different regions according to levels. Then, combining ability with the changing road flows, novel bi-level optimization model proposed allocate zones citizens day night. With upper level using genetic algorithm minimize total system time lower applying user equilibrium evacuee allocation, forms an that considers hotspots impact risks on network. findings show functional high pedestrian flow, tourist spots, commercial centres, schools are exposed higher Besides, simulation matches zoning results actual activities can effectively achieve goal evacuating 480,000 people within 12–18 minutes. This innovatively proposes effective reference government's work.

Language: Английский

Citations

0
Feasibility of horizontal evacuation after flooding onset and its relationship with geographical characteristics: Insights from past flood events in Japan DOI Creative Commons
Takuyou Mizumura,

Hitoshi Nakamura

International Journal of Disaster Risk Reduction, Journal Year: 2025, Volume and Issue: unknown, P. 105506 - 105506

Published: April 1, 2025

Language: Английский

Citations

0
Urban flood vulnerability analysis and prediction based on the land use using Deep Neural Network DOI
Kiyong Park, Eui Hoon Lee

International Journal of Disaster Risk Reduction, Journal Year: 2023, Volume and Issue: 101, P. 104231 - 104231

Published: Dec. 30, 2023

Language: Английский

Citations

8
Assessment of loss of life owing to dam-failure flooding considering population distribution and evacuation DOI
Jiaqi Peng, Jianming Zhang, Takahiro Sayama

et al.

International Journal of Disaster Risk Reduction, Journal Year: 2024, Volume and Issue: 112, P. 104737 - 104737

Published: Aug. 6, 2024

Language: Английский

Citations

2
The 2023 Floods in the Emilia-Romagna Region, Italy: A Retrospective Qualitative Investigation into Response Strategies and Criticalities DOI Creative Commons
Martina Valente, Clara Del Prete, Giulia Facci

et al.

International Journal of Disaster Risk Reduction, Journal Year: 2024, Volume and Issue: unknown, P. 105089 - 105089

Published: Dec. 1, 2024

Language: Английский

Citations

2
Applicability of HEC RAS & Microwave Remote Sensing Techniques in Flood Evacuation. A Case Study of Gandak River, Bihar, India. DOI
Neeraj Kumar,

Deepak Lal,

Shakti Suryavanshi

et al.

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

Published: Sept. 9, 2024

Abstract Emergency evacuation during a flood becomes difficult due to the unavailability of various scientific evidence, tools, and most importantly near real-time data. Every year millions lives are affected floods worldwide. In cases, preparedness use inland waterways system is ignored. India, thousands river systems abandoned it can be used for using networks. The development precise water level information with operational in both day night time highly required this purpose. organizations working field facing same problem inaccurate depth information. A study has been conducted develop an discharge HEC RAS model, along Sentinel 1 satellite imageries, Glofas data have study. output obtained by useful identifying waterway navigation. Using easy reach remote places surrounded flood. method tested on ground easily replic1able other across world disaster relief operations.

Language: Английский

Citations

0
UAVs as a Tool for Optimizing Boat-Supported Flood Evacuation Operations DOI Creative Commons
Lara G. Moussa,

Raluca Diaconu,

Michael S. Watt

et al.

Drones, Journal Year: 2024, Volume and Issue: 8(11), P. 621 - 621

Published: Oct. 29, 2024

The frequency and intensity of flood events are increasing year by as a result climate change. This poses significant threats to human settlements adversely affects biodiversity, agriculture, infrastructure. One the most prominent traditional evacuation approaches is through use boats. Nonetheless, serious challenges exist with respect determining optimal deployment locations, routes, timing. Given research advances in Unmanned Aerial Vehicles (UAVs) sector—and their ability offer real-time data aerial monitoring services—we argue that applications could help enhance boat-supported operations. In this opinion piece, we explore new opportunities for disaster management underscore advantages integrating UAVs into methodologies, including areas rapid field assessment, route planning, improved coordination between rescue Notwithstanding potential UAVs, emphasize several gaps be explored terms large-scale management/processing, regulatory limitations, technological know-how. Furthermore, provide recommendations bolstering boat protocols, preparedness training programs, policy frameworks, emergency response systems, which maximize efficacy scenarios.

Language: Английский

Citations

0