Pedestrian evacuation planning under dam-break flood disaster considering road risk and road pedestrian demand

行人 运输工程 大洪水 环境规划 工程类 土木工程 地理 考古
作者
Wei Wang,Yingbing Li,Yan Zhang,Zhichao Wu
出处
期刊:International journal of disaster risk reduction [Elsevier BV]
卷期号:104: 104355-104355 被引量:1
标识
DOI:10.1016/j.ijdrr.2024.104355
摘要

When facing disasters, a well-planned evacuation of people can significantly reduce casualties and disaster losses. Hurricane Katrina struck New Orleans in 2005, causing multiple dam failures and resulting in Lake Pontchartrain flooding back into the city. Taking this disaster as an example, this paper evaluates the risk of pedestrian evacuation on roads during dam-break flood disasters. The evaluation considers three aspects: road evacuation difficulty, disaster risk and road pedestrian demand. The fuzzy VIKOR model was used to evaluate 8 indicators for 50 candidate shelters. A dual-objective planning model was proposed to consider the time-varying and diverse emergency needs of disaster victims. By assessing the risk of pedestrian evacuation on the road and delineating restricted areas, the optimal path distance is calculated. Pareto optimality is then employed to achieve a trade-off between the convenience, cost, and applicability of the evacuation plan. In a complex post-disaster environment, the model can adapt flexibly to emergency rescue situations at various stages by adjusting the parameters in the objective and constraint equation. The Pareto optimal frontier can assist in determining the most suitable solution for the current scenario. In the case of New Orleans, 22 and 18 shelters were respectively selected from 34 candidate shelters for evacuation based on the simulated scenarios.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
飘逸的小天鹅完成签到,获得积分10
刚刚
刚刚
彭于晏应助张宝采纳,获得10
1秒前
123完成签到,获得积分10
2秒前
2秒前
2秒前
ml完成签到,获得积分10
3秒前
无名完成签到,获得积分10
3秒前
Simpler发布了新的文献求助10
3秒前
4秒前
烟雨发布了新的文献求助10
4秒前
4秒前
李吉关注了科研通微信公众号
5秒前
2020完成签到,获得积分10
6秒前
科研通AI6.4应助文艺稚晴采纳,获得10
6秒前
6秒前
7秒前
天天快乐应助雪白的面包采纳,获得10
7秒前
7秒前
7秒前
7秒前
小朋友你可真逗完成签到,获得积分20
7秒前
英俊的铭应助科研通管家采纳,获得10
7秒前
coolru应助科研通管家采纳,获得10
8秒前
orixero应助科研通管家采纳,获得10
8秒前
8秒前
8秒前
8秒前
英俊的铭应助科研通管家采纳,获得10
8秒前
天天快乐应助科研通管家采纳,获得10
8秒前
xiang应助科研通管家采纳,获得20
9秒前
爆米花应助科研通管家采纳,获得10
9秒前
英俊的铭应助科研通管家采纳,获得10
9秒前
在水一方应助科研通管家采纳,获得10
9秒前
9秒前
情怀应助科研通管家采纳,获得10
9秒前
9秒前
英姑应助科研通管家采纳,获得10
9秒前
李爱国应助友好电话采纳,获得10
9秒前
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Reducing Compassion Fatigue, Secondary Traumatic Stress and Burnout 600
Comparative Elite Sport Development Systems, Structures and Public Policy 600
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Auslegungsgeschichte 500
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7636998
求助须知:如何正确求助?哪些是违规求助? 9210827
关于积分的说明 19757097
捐赠科研通 7204472
什么是DOI,文献DOI怎么找? 3275618
关于科研通互助平台的介绍 2437291
邀请新用户注册赠送积分活动 2272795