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Impact of real-time crowding information: A Stockholm metro case study
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport Planning, Economics and Engineering.
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport Planning, Economics and Engineering.ORCID iD: 0000-0002-4106-3126
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport Planning, Economics and Engineering.ORCID iD: 0000-0002-6817-781X
2017 (English)In: Public Transport, ISSN 1866-749X, E-ISSN 1613-7159, Vol. 9, no 3, p. 483-499Article in journal (Refereed) Published
Abstract [en]

The paper evaluates the impact of real-time crowding information (RTCI) provision based on a pilot study at a Stockholm metro station. During a 6-day test period, RTCI for each car in the next arriving train was provided through a visual display and speakers. The impact is evaluated in three dimensions: (1) passenger attention is analyzed using video analysis; (2) passenger valuation is evaluated with traveler surveys; (3) passenger action is analyzed with in-vehicle passenger load data. It is estimated that around 25% of the passengers noticed, understood and considered the provided information useful for their travel decisions. Further, RTCI had a statistically significant positive impact on the boarding distribution between cars and, as a result, on the downstream in-vehicle crowding in the trains. RTCI reduced the share of passengers boarding the first, most crowded car by 4.3% points for trains that were crowded on arrival, and increased the share of passengers boarding the second, less crowded car by 4.1% points. The findings also suggest that many passengers may value the provided crowding information positively even though it does not change their travel decisions. The results indicate that RTCI may be a useful technology for public transport operators and agencies for increasing the utilization of available train capacity and reducing crowding.

Place, publisher, year, edition, pages
Springer, 2017. Vol. 9, no 3, p. 483-499
Keywords [en]
Crowding, Real-time information, RTCI, Metro, Pilot study
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:kth:diva-200543DOI: 10.1007/s12469-016-0150-yISI: 000423901900001Scopus ID: 2-s2.0-85029953525OAI: oai:DiVA.org:kth-200543DiVA, id: diva2:1069557
Note

QC 20170201

Available from: 2017-01-30 Created: 2017-01-30 Last updated: 2018-02-16Bibliographically approved

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