Study on the Demand Intensity of the Park and Ride in Metropolis

The analysis on the park and ride demand is the basis for the planning and construction of park and ride facilities. This paper analyzes the characteristics of park and ride demand distribution by the park and ride demand survey data in Beijing. Then the demand density (or intensity) distribution chart was obtained by the Kernel density estimation method. Lastly, the paper discusses the relation between the park and ride intensity and effected factors based on the Structural equation modeling theory. The conclusions are that the poorer the traffic condition for the destination, the higher the public traffic service level, the closer the distance from the departing area to the park and ride facility for the travelers, the smaller the travel angle, the bigger is the park and ride demand intensity. The study results give some references for the demand forecasting of the park and ride in metropolis.

• Record URL:
  • https://doi.org/10.1061/41186(421)82
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784411865
• Supplemental Notes:
  • Copyright © 2011 ASCE
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Qin, Huanmei
  • Guan, Hongzhi
  • Long, Xueqin
  • Yin, Huanhuan
  • Lu, Yan
• Conference:
  • 11th International Conference of Chinese Transportation Professionals (ICCTP)
  • Location: Nanjing , China
  • Date: 2011-8-14 to 2011-8-17
• Publication Date: 2011

Language

• English

Media Info

• Media Type: Digital/other
• Features: References;
• Pagination: pp 836-847
• Monograph Title: ICCTP 2011: Towards Sustainable Transportation Systems

Subject/Index Terms

• TRT Terms: Metropolitan areas; Park and ride; Parking demand; Parking facilities; Ridership; Structural equation modeling
• Uncontrolled Terms: Kernel density estimators
• Geographic Terms: Beijing (China)
• Subject Areas: Highways; Planning and Forecasting; Public Transportation; Terminals and Facilities; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01450824
• Record Type: Publication
• ISBN: 9780784411865
• Files: TRIS, ASCE
• Created Date: Oct 31 2012 5:04PM