Measuring transit service reliability using data from web-based transit user survey : a case study at Brisbane, Australia


Autoria(s): Liu, Yulin; Bunker, Jonathan M.
Contribuinte(s)

Liu, Samson Zhoujun

Javed, Arshad Ali

Ni, Faye Danfei

Shen, Allan Weilin

Data(s)

01/07/2011

Resumo

This paper reports an empirical study on measuring transit service reliability using the data from a Web-based passenger survey on a major transit corridor in Brisbane, Australia. After an introduction of transit service reliability measures, the paper presents the results from the case study including study area, data collection, and reliability measures obtained. This includes data exploration of boarding/arrival lateness, in-vehicle time variation, waiting time variation, and headway adherence. Impacts of peak-period effects and separate operation on service reliability are examined. Relationships between transit service characteristics and passenger waiting time are also discussed. A summary of key findings and an agenda of future research are offered in conclusions.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/43315/

Publicador

The Hong Kong Polytechnic University

Relação

http://eprints.qut.edu.au/43315/1/IPCIE2011-158__Liu_and_Bunker.pdf

http://www.polyu.edu.hk/fclu/ipc2011/download.html

Liu, Yulin & Bunker, Jonathan M. (2011) Measuring transit service reliability using data from web-based transit user survey : a case study at Brisbane, Australia. In Liu, Samson Zhoujun, Javed, Arshad Ali, Ni, Faye Danfei, & Shen, Allan Weilin (Eds.) Proceedings of the 3rd International Postgraduate Conference on Infrastructure and Environment, The Hong Kong Polytechnic University, The Hong Kong Polytechnic University, Hong Kong, pp. 723-730.

Direitos

Copyright 2011 Faculty of Construction and Land Use, The Hong Kong Polytechnic University

Fonte

Faculty of Built Environment and Engineering; School of Urban Development

Palavras-Chave #120500 URBAN AND REGIONAL PLANNING #Public transit #quality of service #reliability measurement #passenger waiting time #Web-based survey
Tipo

Conference Paper