Where Is My Bus? Impact of mobile real-time information on the perceived and actual wait time of transit riders
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
When passengers have access to LBAI, they are able to plan their departure to minimise their waiting time at bus stop.
“Moreover, when passengers have access to LBAI, they are able to plan their departure to minimise their waiting time at bus stop.”
From The impact of real-time information on passengers’ value of bus waiting time (2018) · cites this paper as Watkins et al., 2011
In Seattle, Washington, actual waiting time for passengers with mobile LBAI were almost two minutes less than those of non-users.
“In Seattle, Washington, a recent study found that the actual waiting time for passengers with mobile LBAI were almost two minutes less than those of non-users”
From The impact of real-time information on passengers’ value of bus waiting time (2018) · cites this paper as Watkins et al., 2011
In Seattle, Washington, perceived wait times of mobile LBAI users were approximately 30 per cent less than those of non-users.
“and the perceived wait times of users were approximately 30 per cent less than those of the non-users (Watkins et al., 2011).”
From The impact of real-time information on passengers’ value of bus waiting time (2018) · cites this paper as Watkins et al., 2011
Cites
Mishalani, R., McCord, M., & Wirtz, J. (2006) · Journal of Public Transportation · doi:10.5038/2375-0901.9.2.5 · Cited by 154 · see citing works
Flagged first, then by citations
Cited by
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
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
- Watkins, K. E., Ferris, B., Borning, A., Rutherford, G. S., & Layton, D.
- Venue
- Transportation Research Part A: Policy and Practice
- Publisher
- Elsevier BV
- Published
- 2011-10
- Volume
- 45
- Issue
- 8
- Pages
- 839-848
- ISSN
- 0965-8564
- Cited by
- 190
- References
- 1
- Language
- en
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
