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Exploring measures to monitor passenger-centric punctuality in public transport: a pre study
Swedish National Road and Transport Research Institute, Society, environment and transport, Transport economics.ORCID iD: 0000-0001-9535-0617
2024 (English)Report (Other academic)
Abstract [en]

Public transport (PT) plays an important role in urban mobility and accessibility, withreliability, particularly punctuality, being a key determinant of passenger satisfaction andlong-term ridership. Traditional metrics, such as On-Time Performance (OTP), oftenfocus on vehicle performance and tend to overlook the passenger experience. This reportexplores alternative, punctuality metrics with more focus on the passenger perspectivethat more accurately reflect passengers’ actual travel experiences, i.e., passenger-centricpunctuality metrics.The research begins with a qualitative review of both traditional and passenger-centricmetrics, providing insights into variations of OTP and other measures. These metrics offera more in-depth understanding of service reliability by considering real-time passengerdemand and travel patterns. A quantitative case study on Stockholm’s commuter railnetwork, using traffic and passenger demand data, highlights differences betweenvehicle-centric and passenger-centric measures, particularly during peak and off-peaktimes.

Key findings:

  • Various passenger-centric metrics are applicable to monitor PT service reliabilitymore accurately by accounting for passenger demand and travel experiencesacross different modes and time periods.
  • The reviewed metrics vary in terms of relevance, accuracy, and ease ofimplementation for monitoring passenger punctuality in PT systems.
  • One major challenge in implementing these metrics is the limited availability andquality of passenger demand data, as well as the technical complexity involved inintegrating automatic data collection technologies with existing systems.
  • Passenger-centric metrics can enable better monitoring of passenger punctualityand better operational management, especially in spatio-temporal areas wheredemand variations are significant.
Place, publisher, year, edition, pages
Lund: K2 - Nationellt kunskapscentrum för kollektivtrafik , 2024. , p. 59
Series
K2 Working paper ; 2024:9
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:vti:diva-21702ISBN: 978-91-89407-49-7 (electronic)OAI: oai:DiVA.org:vti-21702DiVA, id: diva2:1939990
Available from: 2025-02-25 Created: 2025-02-25 Last updated: 2025-02-25Bibliographically approved

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Ait-Ali, Abderrahman
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf