Real-time seat allocation for minimizing boarding/alighting time and improving quality of service and safety for passengers
- Submitting institution
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Liverpool John Moores University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 1214
- Type
- D - Journal article
- DOI
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10.1016/j.trc.2019.03.014
- Title of journal
- Transportation Research Part C: Emerging Technologies
- Article number
- -
- First page
- 158
- Volume
- 103
- Issue
- -
- ISSN
- 0968-090X
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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6
- Research group(s)
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B - LOOM
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work was partially supported by a competitive grant to explore seat allocation for rail services from the Department for Transport (T-TRIG O52, 2016, £50k – only 4 grants awarded). This “original” and “significant” work (Prof. X. Zhou, Editor, xuesong.zhou@asu.edu) has led to a better understanding by train operating companies such as Merseyrail (Dave Stamper, Merseyrail Control Centre Manager, dstamper@merseyrail.org) of a passenger-focused approach to the prediction and mitigation of train delays. The research has led to an InnovateUK First of A Kind programme grant (ref. no. 971641, £265k to LJMU, 2019-2021).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -