A Computational Framework for Identifying Safe Evacuation and Rescue Routes in Catastrophic Urban Flooding Environments-Reference-Cited by-同舟云学术

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A Computational Framework for Identifying Safe Evacuation and Rescue Routes in Catastrophic Urban Flooding Environments

Published:2024-01-25 Issue: Volume:2 Page:136-143
ISSN:
Container-title:Computing in Civil Engineering 2023
language:
Short-container-title:

Author:

Wang Yifan¹²³³,Gong Jie¹²³³,Josephs Holly¹²³³,Duan Zhixiong¹²³³

Affiliation:

1. Postdoctoral Associate, Dept. of Civil and Environmental Engineering, Rutgers, State Univ. of New Jersey. ORCID: .

2. Associate Professor, Dept. of Civil and Environmental Engineering, Rutgers, State Univ. of New Jersey.

3. Ph.D. Student, Dept. of Civil and Environmental Engineering, Rutgers, State Univ. of New Jersey.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485248.017

Reference17 articles.

1. An innovative approach to assess the impact of urban flooding: Modeling transportation system failure due to urban flooding

2. A global network for operational flood risk reduction

3. Towards a high-resolution drone-based 3D mapping dataset to optimise flood hazard modelling;Backes D.;The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences,2019

4. Evacuation under flooded conditions: Experimental investigation of the influence of water depth on walking behaviors

5. Use of Mobile Lidar Data to Assess Hurricane Damage and Visualize Community Vulnerability

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