Research on demand prediction and distribution of emergency materials under large flood disasters

Jialei Yu; Hongsheng Sun; Qi Peng

doi:10.1117/12.3023953

9 April 2024 Research on demand prediction and distribution of emergency materials under large flood disasters

Jialei Yu, Hongsheng Sun, Qi Peng

Proceedings Volume 12989, Third International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2023); 1298904 (2024) https://doi.org/10.1117/12.3023953
Event: Third International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2023), 2023, Xi'an, China

Abstract

Flooding is a typical sudden and widespread disaster, which requires a large amount of emergency materials and rapid transportation capacity to control the spread of the disaster. In order to make the distribution of emergency materials under flooding more scientific and reasonable, and to improve the rescue efficiency, this paper studies the prediction and distribution method of emergency materials under large flood disasters, extracts seven relevant factors affecting the disaster relocation population, and establishes the relationship model between the number of disaster relocation population and the number of emergency materials. Meanwhile, with the goal of minimizing the transportation time turnover of the distribution centers and maximizing the demand satisfaction rate of the disaster sites, we construct a large-scale flood emergency materials distribution model with multiple distribution centers, multiple disaster sites and multiple materials. And the model can be verified to achieve the minimum demand satisfaction rate of emergency materials at each disaster site.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jialei Yu, Hongsheng Sun, and Qi Peng "Research on demand prediction and distribution of emergency materials under large flood disasters", Proc. SPIE 12989, Third International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2023), 1298904 (9 April 2024); https://doi.org/10.1117/12.3023953

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available