Technical Papers
May 2, 2024

An Optimized Site Selection Method for Human-Life Search and Rescue in Inland Waters

Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 10, Issue 3

Abstract

This study proposes a method to select optimal sites for human-life search and rescue operations in inland waters. It was used to bridge the disparity between the distribution of current water search and rescue facilities and the nuanced spatial distribution of risks associated with water traffic accidents. An evaluation model for the demand of search and rescue demand was developed considering regional water traffic flow, wind direction, wind speed, channel depth, and the historical frequency of water traffic accidents. An objective function was formulated to optimize the selection of search and rescue operation sites in inland waters. Finally, the method realized the precise layout planning of search and rescue sites in inland waters using the objective function. The effectiveness of the proposed method was verified by taking the Yangtze River as the research area, which improved 22.92% of the capacity to respond to life-threatening search and rescue emergencies.

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Data Availability Statement

All data, models, or codes that support the findings of the work are available from the corresponding author upon reasonable request.

Acknowledgments

The work was supported by the National Key Research and Development Programs of China (Grant Nos. 2021YFC3101800 and 2021YFB2600300).
Author contributions: Fan Zhang: investigation, funding acquisition, project administration, methodology, collecting data, and supervision. Xin Peng: conceptualization, methodology, software, and writing original draft. Yefeng Sun: software, data curation, investigation, and writing original draft. Qing Yu: reviewing. Yuanqiao Wen: supervision and validation.

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Go to ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 10Issue 3September 2024

History

Received: Jun 26, 2023
Accepted: Nov 20, 2023
Published online: May 2, 2024
Published in print: Sep 1, 2024
Discussion open until: Oct 2, 2024

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Associate Professor, School of Navigation, Wuhan Univ. of Technology, Wuhan, Hubei 430063, China. Email: [email protected]
Assistant Researcher, School of Environment, Tsinghua Univ., Beijing 100084, China (corresponding author). Email: [email protected]
Master’s Student, School of Navigation, Wuhan Univ. of Technology, Wuhan, Hubei 430063, China. Email: [email protected]
Associate Professor, School of Navigation, Jimei Univ., Xiamen, Fujian 361021, China. Email: [email protected]
Yuanqiao Wen [email protected]
Professor, Intelligent Transportation System Center, Wuhan Univ. of Technology, Wuhan, Hubei 430063, China; National Engineering Research Center for Water Transport Safety, Wuhan Univ. of Technology, Wuhan, Hubei 430063, China; Key Laboratory of Hubei Inland Shipping Technology, Wuhan Univ. of Technology, Wuhan, Hubei 430063, China. Email: [email protected]

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