Investigating the relationship between street centrality and traffic congestion

Jingsi Li, Tzu-Chang Lee, Runqiu Pan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study aims to investigate the relationship between the Multiple Centrality Assessment index and the level of traffic congestion using the data from the urban traffic networks in Harbin, China. By utilizing the standard 'primal' format in the traffic networks, the street centrality can be measured by three types of indices, the Closeness, Straightness and Betweenness centralities. These centrality indices were calculated by Python program based on Arcgis10.1. The correlations between congestion level and the street centralities were analyzed based on the collected traffic data on the top ten congested traffic links on weekdays in urban areas. The results indicated that the street centrality indices and congestion level are positively related. Among three centrality indices, the global betweenness exhibited a higher correlation with the congestion time delay index than the global closeness did. The study demonstrated a new aspect to investigate traffic congestion and provided useful information for transportation planning.

Original languageEnglish
Title of host publicationProceedings of the 20th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2015
Subtitle of host publicationUrban Transport Analytics
EditorsSylvia Y. He, Yong-Hong Kuo, C.H. Cheng, Janny M.Y. Leung
PublisherHong Kong Society for Transportation Studies Limited
Pages429-436
Number of pages8
ISBN (Electronic)9789881581440
Publication statusPublished - 2015 Jan 1
Event20th International Conference of Hong Kong Society for Transportation Studies: Urban Transport Analytics, HKSTS 2015 - Hong Kong, Hong Kong
Duration: 2015 Dec 122015 Dec 14

Publication series

NameProceedings of the 20th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2015: Urban Transport Analytics

Other

Other20th International Conference of Hong Kong Society for Transportation Studies: Urban Transport Analytics, HKSTS 2015
CountryHong Kong
CityHong Kong
Period15-12-1215-12-14

All Science Journal Classification (ASJC) codes

  • Transportation

Fingerprint Dive into the research topics of 'Investigating the relationship between street centrality and traffic congestion'. Together they form a unique fingerprint.

Cite this