Identification of critical transportation cities in the multimodal transportation network of China

Jingwei Shen and Huiming Zong

Physica A: Statistical Mechanics and its Applications, 2023, vol. 628, issue C

Abstract: Critical transportation cities often have a disproportionate impact on the functioning of the transportation network, and identifying critical transportation cities may help improve the overall performance of the transportation network. In this study, critical transportation city identification in the multimodal transportation network of China is conducted. First, a directed weighted network that can express both the direction and strength of intercity links in China is constructed. Then, five indicators measuring node centrality are used to evaluate the importance of the nodes in the train network, bus network and flight network. Third, principal component analysis (PCA) is used to identify the critical transportation cities. Finally, the influencing factors of importance of transportation cities are quantitatively estimated by fitting the stepwise regression. The results show that (1) cities in North China, Central China, East China, and South China have higher comprehensive scores, while cities in Northeast China, Northwest China and Southwest China have lower scores; (2) provincial capital cities and some larger cities are generally the central transportation hubs of a region; and (3) the comprehensive score of Chinese cities is closely related to GDP, resident population, local general public budget expenditure, and loans of financial institutions at year end.

Keywords: Multimodal transportation network; Directed weighted network; Node centrality; Critical transportation cities (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S037843712300729X
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:628:y:2023:i:c:s037843712300729x

DOI: 10.1016/j.physa.2023.129174

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().