Location of Emergency Logistics Center in Central China Based on D-CRITIC and Grey Relational Analysis Method

DOI

10.2991/978-94-6463-610-9_4How to use a DOI?

Keywords

Central China; Community division; Site selection research; D-CRITIC method; GRA

Abstract

In order to explore the location problem of emergency logistics center in Central China under public health emergencies, this study selected 30 cities in Central China as the research object and realized the location of emergency logistics center in Central China by constructing the location model of emergency logistics center. Firstly, the model uses a two-stage iterative method to extract the structure of large network communities, and divides the Central China into 5 communities with close internal road networks. Then, the Floyd algorithm was used to select 5 potential emergency logistics center cities from these communities. Further, starting from four key dimensions such as social economy and infrastructure development level, this study constructs an evaluation system including 14 comprehensive evaluation indicators. By applying D-CRITIC (Distance Correlation-based CRITIC)-GRA (Grey Relational Analysis), the paper conducts an in-depth analysis of 5 candidate cities within each community, and obtains the grey weighted Correlation degree of 5 candidate cities within each community. Finally, the study identified the city with the highest gray weighted correlation degree in each community as the first-level emergency logistics center, and selected the candidate city of second-level emergency logistics center. Through the model constructed in this paper, the hub-and-spoke network structure of emergency logistics in Central China under public health emergencies is constructed.

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.

Download article (PDF)

TY  - CONF
AU  - Lili Liu
AU  - Tengfei Liu
AU  - Kefeng Wang
PY  - 2024
DA  - 2024/12/16
TI  - Location of Emergency Logistics Center in Central China Based on D-CRITIC and Grey Relational Analysis Method
BT  - Proceedings of the 2024 International Conference on Rail Transit and Transportation (ICRTT 2024)
PB  - Atlantis Press
SP  - 21
EP  - 39
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-610-9_4
DO  - 10.2991/978-94-6463-610-9_4
ID  - Liu2024
ER  -