The Forecasting Model of Bicycle Parking Demand on Campus Teaching and Office District

It is possible to forecast the demand of the campus teaching and office district bicycle parking generation rate more accurately with the introduction of multi-model, in which regarding affects are not carried on more considerations with the other parking demand influencing factor according to the actual investigation and study data. The paper analyzes the three types of regional architecture characteristics of bicycle parking demand, and gives the parking demand-supply forecast model, which is based on the parking generation rate model. The model considers the trip distance, parking distance, the facility cycling rate, and the use factor which are also integrated in the model, thus obtains the number of bicycle parking facilities which should be constructed. Finally, the paper proposes a calculation example to expound the practical application of this model.

• Record URL:
  https://doi.org/10.1016/j.sbspro.2012.04.128
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1877042812010099
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/18770428
• Supplemental Notes:
  • Abstract reprinted with permission from Elsevier
• Authors:
  • Xu, Junbin
  • Zhang, Zhiyong
  • Rong, Jian
• Conference:
  • 8th International Conference on Traffic and Transportation Studies (ICTTS 2012)
  • Location: Changsha , China
  • Date: 2012-8-1 to 2012-8-3
• Publication Date: 2012

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: pp 550-557
• Serial:
  • Procedia - Social and Behavioral Sciences
  • Volume: 43
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1877-0428
  • Serial URL: http://www.sciencedirect.com/science/journal/18770428/53
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Bicycle parking; Distance; Forecasting; Parking demand; Supply
• Subject Areas: Pedestrians and Bicyclists; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01500560
• Record Type: Publication
• Files: TRIS
• Created Date: Dec 3 2013 9:32AM