Evaluation of effects from sample-size origin-destination estimation using smart card fare data

Alsger, Azalden, Tavassoli, Ahmad, Mesbah, Mahmoud and Ferreira, Luis (2017) Evaluation of effects from sample-size origin-destination estimation using smart card fare data. Journal of Transportation Engineering, Part A: Systems, 143 4: . doi:10.1061/JTEPBS.0000016


Author Alsger, Azalden
Tavassoli, Ahmad
Mesbah, Mahmoud
Ferreira, Luis
Title Evaluation of effects from sample-size origin-destination estimation using smart card fare data
Journal name Journal of Transportation Engineering, Part A: Systems   Check publisher's open access policy
ISSN 2473-2907
2473-2893
Publication date 2017-04-01
Sub-type Article (original research)
DOI 10.1061/JTEPBS.0000016
Open Access Status Not yet assessed
Volume 143
Issue 4
Total pages 10
Place of publication Chichester, West Sussex, United Kingdom
Publisher American Society of Civil Engineers
Collection year 2018
Language eng
Abstract Public transport planners are required to make decisions on transport infrastructure and services worth billions of dollars. The decision-making process for transport planning needs to be informed, accountable, and founded on comprehensive, current, and reliable data. One of the major issues affecting the accuracy of the estimated origin-destination (O-D) matrices is sample size. Cost, time, precision, and biases are some issues associated with sample size. Smart card data can potentially provide much information based on better understanding and assessment of the sample size impact on the estimated O-D matrices. This paper uses South East Queensland (SEQ) data to study the effect of different data sample sizes on the accuracy level of the generated public transport O-D matrices and to quantify the sample size required for a certain level of accuracy. As a result, the total number of O-D trips for the whole network can be accurately estimated at all levels of sample sizes. However, a wide distribution of O-D trips appeared at different sample sizes. The large difference from the actual distribution at 100% sample size was readily captured at small sample sizes where more O-D pairs were not representative. The wide distribution of O-D trips at different levels of sample sizes caused significant errors even at large sample sizes. The variation of the errors within the same sample was also captured as a result of the 80 iterations for each sample size. It is concluded that three major parameters (distribution, number, and sample size of selected stations) have a significant impact on the estimated O-D matrices. These results can be also reflected on the sample size of the traditional O-D estimation methods, such household travel surveys.
Keyword Associated errors
Origin-destination (O-D) estimation
Public transport demand
Public transport smart card fare data
Sample size
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
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