A quality control framework for bus schedule reliability

Jie Lin; Peng Wang; Darold T. Barnum

doi:10.1016/j.tre.2007.10.002

A quality control framework for bus schedule reliability

Jie Lin, Peng Wang, Darold T. Barnum

Research output: Contribution to journal › Article › peer-review

70 Scopus citations

Abstract

This paper develops and demonstrates a quality control framework for bus schedule reliability. Automatic vehicle location (AVL) devices provide necessary data; data envelopment analysis (DEA) yields a valid summary measure from partial reliability indicators; and panel data analysis provides statistical confidence boundaries for each route-direction's DEA scores. If a route-direction's most recent DEA score is below its lower boundary, it is identified as in need of immediate attention. The framework is applied to 29 weeks of AVL data from 24 Chicago Transit Authority bus routes (and therefore 48 route-directions), thereby demonstrating that it can provide quick and accurate quality control.

Original language	English
Pages (from-to)	1086-1098
Number of pages	13
Journal	Transportation Research Part E: Logistics and Transportation Review
Volume	44
Issue number	6
DOIs	https://doi.org/10.1016/j.tre.2007.10.002
State	Published - Nov 2008
Externally published	Yes

Keywords

Automatic vehicle location (AVL)
Confidence interval
Data envelopment analysis (DEA)
Panel data analysis (PDA)
Schedule adherence

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10.1016/j.tre.2007.10.002

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title = "A quality control framework for bus schedule reliability",

abstract = "This paper develops and demonstrates a quality control framework for bus schedule reliability. Automatic vehicle location (AVL) devices provide necessary data; data envelopment analysis (DEA) yields a valid summary measure from partial reliability indicators; and panel data analysis provides statistical confidence boundaries for each route-direction's DEA scores. If a route-direction's most recent DEA score is below its lower boundary, it is identified as in need of immediate attention. The framework is applied to 29 weeks of AVL data from 24 Chicago Transit Authority bus routes (and therefore 48 route-directions), thereby demonstrating that it can provide quick and accurate quality control.",

keywords = "Automatic vehicle location (AVL), Confidence interval, Data envelopment analysis (DEA), Panel data analysis (PDA), Schedule adherence",

author = "Jie Lin and Peng Wang and Barnum, {Darold T.}",

note = "Funding Information: This project was partially supported by the Chicago Transit Authority under Contract to the Urban Transportation Center at the University of Illinois at Chicago, which made this research possible. We especially thank Michael Haynes of CTA for his help in providing AVL data for this research. Finally, we thank the three reviewers and the editor whose wise counsel greatly improved the paper. The views expressed in the paper are those of the authors alone.",

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doi = "10.1016/j.tre.2007.10.002",

language = "English",

volume = "44",

pages = "1086--1098",

journal = "Transportation Research Part E: Logistics and Transportation Review",

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AU - Wang, Peng

AU - Barnum, Darold T.

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PY - 2008/11

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N2 - This paper develops and demonstrates a quality control framework for bus schedule reliability. Automatic vehicle location (AVL) devices provide necessary data; data envelopment analysis (DEA) yields a valid summary measure from partial reliability indicators; and panel data analysis provides statistical confidence boundaries for each route-direction's DEA scores. If a route-direction's most recent DEA score is below its lower boundary, it is identified as in need of immediate attention. The framework is applied to 29 weeks of AVL data from 24 Chicago Transit Authority bus routes (and therefore 48 route-directions), thereby demonstrating that it can provide quick and accurate quality control.

AB - This paper develops and demonstrates a quality control framework for bus schedule reliability. Automatic vehicle location (AVL) devices provide necessary data; data envelopment analysis (DEA) yields a valid summary measure from partial reliability indicators; and panel data analysis provides statistical confidence boundaries for each route-direction's DEA scores. If a route-direction's most recent DEA score is below its lower boundary, it is identified as in need of immediate attention. The framework is applied to 29 weeks of AVL data from 24 Chicago Transit Authority bus routes (and therefore 48 route-directions), thereby demonstrating that it can provide quick and accurate quality control.

KW - Automatic vehicle location (AVL)

KW - Confidence interval

KW - Data envelopment analysis (DEA)

KW - Panel data analysis (PDA)

KW - Schedule adherence

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JO - Transportation Research Part E: Logistics and Transportation Review

JF - Transportation Research Part E: Logistics and Transportation Review

IS - 6

ER -

A quality control framework for bus schedule reliability

Abstract

Keywords

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