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Are commuter train timetables consistent with passengers’ valuations of waiting times and in-vehicle crowding?
Swedish National Road and Transport Research Institute, Society, environment and transport, Transport economics.ORCID iD: 0000-0001-9535-0617
Linköpings universitet.ORCID iD: 0000-0003-1789-9238
2020 (English)Report (Other academic)
Abstract [en]

Many models have been developed and used to analyse the costs and benefits of transport investments. Similar tools can also be used for transport operation planning and capacity allocation. An example of such use is the assessment of commuter train operations and service frequency. In this study, we analyse the societally optimal frequency for commuter train services. The aim is to reveal the implicit valuation (by the public transport agency) of the waiting time and the in-vehicle crowding in the commuting system. We use an analytic CBA model to formulate the societal costs of a certain service frequency and analyse the societally optimal frequencies during peak and off-peak hours. Comparing the optimal and the actual frequencies allows to reveal the implicit valuations of waiting time and crowding. Using relevant data from the commuter train services in Stockholm on a typical working day in September 2015 (e.g., OD matrix, cost parameters), we perform a numerical analysis on certain lines and directions. We find the societally optimal frequency and the implicit valuation of waiting time and crowding. The results suggest that the public transport agency in Stockholm (i.e., SL) adopted service frequencies that are generally slightly higher than societally optimum which can be explained by a higher implicit valuation of waiting time and crowding. We also find that the optimal frequencies are more sensitive to the waiting time valuation rather than that of crowding.

Place, publisher, year, edition, pages
Stockholm: VTI , 2020. , p. 16
Series
Working Papers, Swedish National Road & Transport Research Institute ; 2020:1
National Category
Transport Systems and Logistics Economics
Identifiers
URN: urn:nbn:se:vti:diva-14810OAI: oai:DiVA.org:vti-14810DiVA, id: diva2:1387367
Available from: 2020-01-21 Created: 2020-01-21 Last updated: 2020-01-22Bibliographically approved

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Ait Ali, Abderrahman

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CiteExportLink to record
Permanent link

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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