Research on Emergency Management of Marine Rescue Site Selection

DOI

10.2991/978-94-6463-453-2_25How to use a DOI?

Keywords

Site selection of rescue station; Monte Carlo simulation; Stochastic programming; Coastal city rescue

Abstract

With the increasing of maritime trade, the frequency of maritime emergencies is also increasing. In order to improve the rescue efficiency and shorten the response time of Marine rescue, this paper studies the location and resource allocation of Marine rescue station. In this paper, a two-stage stochastic planning location model with minimum total cost is established, the historical data is processed by K-means clustering analysis, and the randomness of maritime accident points is considered by Monte Carlo simulation method. The validity and rationality of the model and the algorithm are proved by taking the relevant data of the Bohai Sea and the Yellow Sea of China as examples. This study can provide a certain reference direction for the site selection and resource allocation of Marine emergency rescue in China’s coastal cities.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Fan Yang
PY  - 2024
DA  - 2024/07/26
TI  - Research on Emergency Management of Marine Rescue Site Selection
BT  - Proceedings of the 2024 International Conference on Urban Planning and Design (UPD 2024)
PB  - Atlantis Press
SP  - 326
EP  - 336
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-453-2_25
DO  - 10.2991/978-94-6463-453-2_25
ID  - Yang2024
ER  -