Dynamic at-stop real-time information displays for public transport: effects on customers
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RTIS displays have been reported to reduce perceived waiting time and bring higher customer satisfaction in selected European and U.S. cities.
“Real-Time Information System (RTIS) displays have been reported to reduce perceived waiting time (Dziekan and Vermeulen, 2006) and bring higher customer satisfaction (Science Applications International Corporation, 2003) in selected European and U.S. cities (Dziekan and Kottenhoff, 2007).”
From Does improving stop amenities help increase Bus Rapid Transit ridership? Findings based on a quasi-experiment (2021) · cites this paper as Dziekan and Kottenhoff, 2007
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Sorted by citations
Data-Driven Metro Train Crowding Prediction Based on Real-Time Load Data
Jenelius, E. (2020) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2019.2914729 · Cited by 60 · see citing works
The impact of real-time information on passengers’ value of bus waiting time
Lu, H., Burge, P., Heywood, C., Sheldon, R., Lee, P., Barber, K., & Phillips, A. (2018) · Transportation Research Procedia · doi:10.1016/j.trpro.2018.09.043 · Cited by 34 · see citing works
Shi, X., Moudon, A. V., Hurvitz, P. M., Mooney, S. J., Zhou, C., & Saelens, B. E. (2021) · Transportation Research Interdisciplinary Perspectives · doi:10.1016/j.trip.2021.100323 · Cited by 20 · see citing works
Narrowing the Rail–Bus Satisfaction Gap Through Real-Time Passenger Information
Romero, C., Zamorano, C., & Monzon, A. (2026) · Future Transportation · doi:10.3390/futuretransp6050220
- Authors
- Dziekan, K., & Kottenhoff, K.
- Venue
- Transportation Research Part A: Policy and Practice
- Publisher
- Elsevier BV
- Published
- 2007-07
- Volume
- 41
- Issue
- 6
- Pages
- 489-501
- ISSN
- 0965-8564
- Cited by
- 123
- References
- 0
- Language
- en
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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