Matching Public Transport Demand Using Tactic-Based Guideline

An important element in the development of an integrated system, for policy makers and operators, is to reduce the uncertainty of public transport (PT) service. Implementing proper control actions, such as tactics, leads to reducing the passenger waiting time and preventing missed transfers. These two undesirable features of PT service are major contributors to the PT negative image. However there is no specific investigation on the effect of implementing tactics on the passengers’ perceptions and decisions (demand side). This study provides PT agencies with a guideline on demand control. It was undertaken in two-parts: (a) to assess the effects of delay on PT users’ perception and decision to change route or mode and (b) to evaluate users’ decision based on various real-time operational tactics. To investigate users’ perception and decision related to various operational tactics, a user preference survey was conducted at a major terminal in Auckland, New Zealand and Lyon, France. The survey data was modelled using Multinomial Logistic Regression and decision tree based method. The statistical analysis emphasized that, in various situations (e.g., waiting at a bus stop for more than 10 minutes) more than 60% of the travelers can change their decision and adapt their travel behaviors based on a decision support tool. The findings of work provide policy makers with an understanding of the behavioral aspect of real-time operational tactics.

• Supplemental Notes:
  • This paper was sponsored by TRB committee AP030 Public Transportation Marketing and Fare Policy.
• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Nesheli, Mahmood Mahmoodi
  • Ceder, Avishai
  • Chowdhury, Subeh
  • Estines, Simon
• Conference:
  • Transportation Research Board 94th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2015-1-11 to 2015-1-15
• Date: 2015

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 21p
• Monograph Title: TRB 94th Annual Meeting Compendium of Papers

Subject/Index Terms

• TRT Terms: Bus transit operations; Consumer preferences; Decision support systems; Demand; Passenger information systems; Quality of service; Statistical analysis; Travel behavior; Waiting time
• Geographic Terms: Auckland (New Zealand); Lyon (France)
• Subject Areas: Data and Information Technology; Operations and Traffic Management; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01553106
• Record Type: Publication
• Report/Paper Numbers: 15-2960
• Files: TRIS, TRB, ATRI
• Created Date: Feb 12 2015 9:10AM