Impact Analysis of Land Use on Traffic Congestion Using Real-Time Traffic and POI

This paper proposed a new method to describe, compare, and classify the traffic congestion points in Beijing, China, by using the online map data and further revealed the relationship between traffic congestion and land use. The data of the point of interest (POI) and the real-time traffic was extracted from an electronic map of the area in the fourth ring road of Beijing. The POIs were quantified based on the architectural area of the land use; the congestion points were identified based on real-time traffic. Then, the cluster analysis using the attributes of congestion time was conducted to identify the main traffic congestion areas. The result of a linear regression analysis between the congestion time and the land use showed that the influence of the high proportion of commercial land use on the traffic congestion was significant. Also, the authors considered five types of land use through performing a linear regression analysis between the congestion time and the ratio of four types of land use. The results showed that the reasonable ratio of land use types could efficiently reduce congestion time. This study makes contributions to the policy-making of urban land use.

• Record URL:
  https://doi.org/10.1155/2017/7164790
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/5121625
• Supplemental Notes:
  • © 2017 Tianqi Zhang et al.
• Authors:
  • Zhang, Tianqi
  • Sun, Lishan
  • Yao, Liya
  • Rong, Jian
• Publication Date: 2017

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Serial:
  • Journal of Advanced Transportation
  • Volume: 2017
  • Issue Number: Article ID 7164790
  • Publisher: John Wiley & Sons, Incorporated
  • ISSN: 0197-6729
  • EISSN: 2042-3195
  • Serial URL: http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2042-3195
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Bottlenecks; Cluster analysis; Land use; Real time information; Traffic congestion; Urban areas
• Geographic Terms: Beijing (China)
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting;

Filing Info

• Accession Number: 01666118
• Record Type: Publication
• Files: TRIS
• Created Date: Apr 16 2018 11:22AM