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Impact of real-time crowding information: a Stockholm metro pilot study

Author

Listed:
  • Yizhou Zhang

    (KTH Royal Institute of Technology)

  • Erik Jenelius

    (KTH Royal Institute of Technology)

  • Karl Kottenhoff

    (KTH Royal Institute of Technology)

Abstract

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.

Suggested Citation

  • Yizhou Zhang & Erik Jenelius & Karl Kottenhoff, 2017. "Impact of real-time crowding information: a Stockholm metro pilot study," Public Transport, Springer, vol. 9(3), pages 483-499, October.
    • Handle: RePEc:spr:pubtra:v:9:y:2017:i:3:d:10.1007_s12469-016-0150-y
    DOI: 10.1007/s12469-016-0150-y
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    References listed on IDEAS

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    Cited by:

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    2. Kapatsila, Bogdan & Bahamonde-Birke, Francisco J. & van Lierop, Dea & Grisé, Emily, 2023. "Impact of the COVID-19 pandemic on the comfort of riding a crowded bus in Metro Vancouver, Canada," Transport Policy, Elsevier, vol. 141(C), pages 83-96.
    3. Ma, Zhenliang & Koutsopoulos, Haris N. & Liu, Tianyou & Basu, Abhishek Arunasis, 2020. "Behavioral response to promotion-based public transport demand management: Longitudinal analysis and implications for optimal promotion design," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 356-372.
    4. Jenelius, Erik, 2018. "Public transport experienced service reliability: Integrating travel time and travel conditions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 275-291.
    5. Arkadiusz Drabicki & Rafał Kucharski & Oded Cats, 2023. "Mitigating bus bunching with real-time crowding information," Transportation, Springer, vol. 50(3), pages 1003-1030, June.

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