TY - GEN
T1 - Investigating the relationship between street centrality and traffic congestion
AU - Li, Jingsi
AU - Lee, Tzu-Chang
AU - Pan, Runqiu
PY - 2015/1/1
Y1 - 2015/1/1
N2 - 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.
AB - 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.
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M3 - Conference contribution
AN - SCOPUS:84964330475
T3 - Proceedings of the 20th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2015: Urban Transport Analytics
SP - 429
EP - 436
BT - Proceedings of the 20th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2015
A2 - He, Sylvia Y.
A2 - Kuo, Yong-Hong
A2 - Cheng, C.H.
A2 - Leung, Janny M.Y.
PB - Hong Kong Society for Transportation Studies Limited
T2 - 20th International Conference of Hong Kong Society for Transportation Studies: Urban Transport Analytics, HKSTS 2015
Y2 - 12 December 2015 through 14 December 2015
ER -