Measurement of the development level and spatial correlation analysis of cold chain logistics in mainland China

Zihui Zhang; Yuanyuan Leng; Shuting Huang; Lu Li; Sisi Li; Chuchu Chen; Kehao Li; Ningjie Wu

doi:10.1117/12.2686035

28 July 2023 Measurement of the development level and spatial correlation analysis of cold chain logistics in mainland China

Zihui Zhang, Yuanyuan Leng, Shuting Huang, Lu Li, Sisi Li, Chuchu Chen, Kehao Li, Ningjie Wu

Author Affiliations +

Proceedings Volume 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023); 127561X (2023) https://doi.org/10.1117/12.2686035
Event: 2023 3rd International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC 2023), 2023, Tangshan, China

Abstract

This study employs the entropy-weighted-TOPSIS approach to evaluate the level of development of cold chain logistics across 30 provinces in mainland China. The findings indicate Guangdong, Shanghai, Shandong, Henan, Beijing, Tianjin and Jiangsu exhibit high level of development in cold chain logistics, whereas Qinghai, Gansu, Jilin, and Xinjiang exhibit low level of development in cold chain logistics. Jiangsu and its surrounding areas have formed a high-value agglomeration for the cold chain logistics development index, whereas Inner Mongolia, Ningxia, Qinghai, Xinjiang, Gansu and Sichuan have formed a low-value agglomeration. Therefore, it is essential for all regions to improve the technological level of cold chain enterprises, standardize cold chain infrastructure, and optimize the cold chain logistics network.

Citation Download Citation

Zihui Zhang, Yuanyuan Leng, Shuting Huang, Lu Li, Sisi Li, Chuchu Chen, Kehao Li, and Ningjie Wu "Measurement of the development level and spatial correlation analysis of cold chain logistics in mainland China", Proc. SPIE 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023), 127561X (28 July 2023); https://doi.org/10.1117/12.2686035

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