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Title:

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

Accession Number:

01555283

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

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.

Supplemental Notes:

This paper was sponsored by TRB committee ABE30 Transportation Issues in Major U.S. Cities.

Monograph Accession #:

01550057

Report/Paper Numbers:

15-5262

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Gokasar, Ilgin
Simsek, Kevser
Ozbay, Kaan

Pagination:

17p

Publication Date:

2015

Conference:

Transportation Research Board 94th Annual Meeting

Location: Washington DC, United States
Date: 2015-1-11 to 2015-1-15
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Geographic Terms:

Subject Areas:

Data and Information Technology; Public Transportation; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2015 Paper #15-5262

Files:

PRP, TRIS, TRB, ATRI

Created Date:

Dec 30 2014 1:46PM