Using Big Data of Automated Fare Collection System for Analysis and Improvement of BRT-Bus Rapid Transit Line in Istanbul

Istanbul´s smart card fare collection system generates large amounts of operational data from the BRT-Bus Rapid Transit line. In addition to ridership, it captures system-wide transaction data and provides comprehensive data records on usage. Processing and analysis of these data open new opportunities in transportation and travel behavior research. This paper presents a qualitative analysis of smart card (Istanbulkart) activity for the BRT-Bus Rapid Transit and investigates its potential for understanding complexities of the system and characterizing travel behavior. In this paper, an assessment of spatial and temporal travel behavior of commuters including mode choice, travel, and waiting times, is performed. As a result of this qualitative analysis an evaluation of the automated fare collection system with some recommendations for improving the planning and management of the BRT-Bus Rapid Transit line are also provided.

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• Supplemental Notes:
  • This paper was sponsored by TRB committee ABE30 Transportation Issues in Major U.S. Cities.
• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Gokasar, Ilgin
  • Simsek, Kevser
  • Ozbay, Kaan
• 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: 17p
• Monograph Title: TRB 94th Annual Meeting Compendium of Papers

Subject/Index Terms

• TRT Terms: Automatic fare collection; Bus rapid transit; Data mining; Smart cards; Systems analysis; Travel behavior
• Geographic Terms: Istanbul (Turkey)
• Subject Areas: Data and Information Technology; Public Transportation; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01555283
• Record Type: Publication
• Report/Paper Numbers: 15-5262
• Files: PRP, TRIS, TRB, ATRI
• Created Date: Feb 26 2015 10:05AM