Evaluation, Classification, and Influential Factors Analysis of Traffic Congestion in Chinese Cities Using the Online Map Data
Joint Authors
Changzhi, Bian
Yuan, Changwei
Kuang, Wenbo
Wu, Dayong
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-09-25
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
This study proposes a new method to describe, compare, and classify the traffic congestion states in 23 Chinese cities using the online map data and further reveals the influential factors that may affect them.
First, the real-time traffic congestion information is obtained from the online map of AutoNavi in a 15-minute interval.
Next, a new measuring index is introduced to describe the overall characterization of congestion patterns in each city based on online map data, which is named as the congestion ratio.
The next analysis is the cluster analysis based on the temporal distribution of the congestion ratio, which helps to identify groups of the selected cities with similar traffic congestion states.
These cities are categorized as four groups according to the severity of traffic congestion: severely congested, less severely congested, amble, and smooth cities.
Lastly, multiple linear regression models are developed to identify the primary factors that affect the congestion ratio.
The result shows that the influences of per capita road area, car ownership, and vehicle miles traveled (VMT) on the congestion ratio are significant.
Sensitivity analyses are also implemented in order to reveal more effective policy measures in mitigating traffic congestion in urban areas.
American Psychological Association (APA)
Changzhi, Bian& Yuan, Changwei& Kuang, Wenbo& Wu, Dayong. 2016. Evaluation, Classification, and Influential Factors Analysis of Traffic Congestion in Chinese Cities Using the Online Map Data. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1111778
Modern Language Association (MLA)
Changzhi, Bian…[et al.]. Evaluation, Classification, and Influential Factors Analysis of Traffic Congestion in Chinese Cities Using the Online Map Data. Mathematical Problems in Engineering No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1111778
American Medical Association (AMA)
Changzhi, Bian& Yuan, Changwei& Kuang, Wenbo& Wu, Dayong. Evaluation, Classification, and Influential Factors Analysis of Traffic Congestion in Chinese Cities Using the Online Map Data. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1111778
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1111778