Validating and improving public transport origin–destination estimation algorithm using smart card fare data

Alsger, Azalden, Assemi, Behrang, Mesbah, Mahmoud and Ferreira, Luis (2016) Validating and improving public transport origin–destination estimation algorithm using smart card fare data. Transportation Research Part C: Emerging Technologies, 68 490-506. doi:10.1016/j.trc.2016.05.004


Author Alsger, Azalden
Assemi, Behrang
Mesbah, Mahmoud
Ferreira, Luis
Title Validating and improving public transport origin–destination estimation algorithm using smart card fare data
Journal name Transportation Research Part C: Emerging Technologies   Check publisher's open access policy
ISSN 0968-090X
1879-2359
Publication date 2016-07
Year available 2016
Sub-type Article (original research)
DOI 10.1016/j.trc.2016.05.004
Open Access Status Not Open Access
Volume 68
Start page 490
End page 506
Total pages 17
Place of publication Kidlington, Oxford United Kingdom
Publisher Pergamon Press
Collection year 2017
Language eng
Abstract Smart card data are increasingly used for transit network planning, passengers’ behaviour analysis and network demand forecasting. Public transport origin–destination (O–D) estimation is a significant product of processing smart card data. In recent years, various O–D estimation methods using the trip-chaining approach have attracted much attention from both researchers and practitioners. However, the validity of these estimation methods has not been extensively investigated. This is mainly because these datasets usually lack data about passengers’ alighting, as passengers are often required to tap their smart cards only when boarding a public transport service. Thus, this paper has two main objectives. First, the paper reports on the implementation and validation of the existing O–D estimation method using the unique smart card dataset of the South-East Queensland public transport network which includes data on both boarding stops and alighting stops. Second, the paper improves the O–D estimation algorithm and empirically examines these improvements, relying on this unique dataset. The evaluation of the last destination assumption of the trip-chaining method shows a significant negative impact on the matching results of the differences between actual boarding/alighting times and the public transport schedules. The proposed changes to the algorithm improve the average distance between the actual and estimated alighting stops, as this distance is reduced from 806 m using the original algorithm to 530 m after applying the suggested improvements.
Keyword O–D estimation
Validation
Public transport smart card fare data
Trip-chaining method
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Civil Engineering Publications
HERDC Pre-Audit
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in Thomson Reuters Web of Science Article
Scopus Citation Count Cited 0 times in Scopus Article
Google Scholar Search Google Scholar
Created: Fri, 20 May 2016, 18:07:48 EST by Behrang Assemi on behalf of School of Civil Engineering