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Public transport experienced service reliability: Integrating travel time and travel conditions
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Transport Planning, Economics and Engineering. KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS. (Urban Mobility group)ORCID iD: 0000-0002-4106-3126
2018 (English)In: Transportation Research Part A: Policy and Practice, ISSN 0965-8564, E-ISSN 1879-2375, Vol. 117, p. 275-291Article in journal (Refereed) Published
Abstract [en]

The paper proposes a generalization of public transport service reliability, incorporating both travel times and travel conditions based on passengers’ perceived journey time. Time is partitioned into waiting and transfer time as well as in-vehicle time under different travel conditions (crowding and seat availability), which may vary along a journey and between days. The experienced service reliability gap (ESRG) index is introduced, defined as the difference between an upper percentile (e.g., the 95th) and the median perceived journey time across days for a particular OD pair and departure time. The metric is evaluated by tracing virtual trips from origin to destination with journey times and travel conditions based on automated vehicle location (AVL) and automated passenger count (APC) data and seated status modelled probabilistically. A study of a high-frequency bus line in Stockholm, Sweden shows that travel conditions co-vary only weakly with nominal journey time, and the ESRG index display patterns across the day not evident in existing reliability measures, such as a wider and later afternoon peak. The ESRG displays significant variation between OD pairs along the line. Correlation with headway variability suggests that measures improving bus regularity have additional positive effects on experienced service reliability.

Place, publisher, year, edition, pages
Elsevier, 2018. Vol. 117, p. 275-291
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:kth:diva-233860DOI: 10.1016/j.tra.2018.08.026ISI: 000446151200021Scopus ID: 2-s2.0-85052439239OAI: oai:DiVA.org:kth-233860DiVA, id: diva2:1243177
Funder
TrenOp, Transport Research Environment with Novel Perspectives
Note

QC 20180830

Available from: 2018-08-30 Created: 2018-08-30 Last updated: 2019-09-19Bibliographically approved

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Jenelius, Erik

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