The spread of passengers on platforms and dwell times for commuter trains: A case study using automatic passenger count data
(2022) The 11th Triennial Symposium on Transportation Analysis- Abstract
- This study investigates how the spread of boarding passengers between the doors of a train affects the probability of dwell time delays for commuter trains. We make use of automatic passenger count data, collected on a door-by-door level, from commuter trains in the Southern region of Scania in Sweden. The aim of our study is to understand the context in which potential measures to spread out boarding passengers more evenly is most beneficial. Making use of logistic regression, we find that an uneven spread of passengers has a negative effect on dwell time delays when passenger volumes are high. When implementing measures to spread boarding passengers out more evenly between the available doors this will be most beneficial at stations with... (More)
- This study investigates how the spread of boarding passengers between the doors of a train affects the probability of dwell time delays for commuter trains. We make use of automatic passenger count data, collected on a door-by-door level, from commuter trains in the Southern region of Scania in Sweden. The aim of our study is to understand the context in which potential measures to spread out boarding passengers more evenly is most beneficial. Making use of logistic regression, we find that an uneven spread of passengers has a negative effect on dwell time delays when passenger volumes are high. When implementing measures to spread boarding passengers out more evenly between the available doors this will be most beneficial at stations with a large expected volume of boarding passengers. Doing so can help to reduce the probability of dwell time delays, and improve overall travel time punctuality and reliability. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/645ffbd3-5b9d-4c38-b77a-b9d9d4e6ff3e
- author
- Kuipers, Ruben LU and Palmqvist, Carl-William LU
- organization
- publishing date
- 2022-07-11
- type
- Contribution to conference
- publication status
- published
- subject
- keywords
- Dwell time, Passengers, Concentrated boarding, Delays, Railways
- conference name
- The 11th Triennial Symposium on Transportation Analysis
- conference dates
- 2022-06-19 - 2022-09-25
- language
- English
- LU publication?
- yes
- id
- 645ffbd3-5b9d-4c38-b77a-b9d9d4e6ff3e
- alternative location
- https://tristan2022.org/Papers/TRISTAN_2022_paper_6488.pdf
- date added to LUP
- 2022-09-19 13:55:31
- date last changed
- 2023-03-28 02:29:46
@misc{645ffbd3-5b9d-4c38-b77a-b9d9d4e6ff3e, abstract = {{This study investigates how the spread of boarding passengers between the doors of a train affects the probability of dwell time delays for commuter trains. We make use of automatic passenger count data, collected on a door-by-door level, from commuter trains in the Southern region of Scania in Sweden. The aim of our study is to understand the context in which potential measures to spread out boarding passengers more evenly is most beneficial. Making use of logistic regression, we find that an uneven spread of passengers has a negative effect on dwell time delays when passenger volumes are high. When implementing measures to spread boarding passengers out more evenly between the available doors this will be most beneficial at stations with a large expected volume of boarding passengers. Doing so can help to reduce the probability of dwell time delays, and improve overall travel time punctuality and reliability.}}, author = {{Kuipers, Ruben and Palmqvist, Carl-William}}, keywords = {{Dwell time; Passengers; Concentrated boarding; Delays; Railways}}, language = {{eng}}, month = {{07}}, title = {{The spread of passengers on platforms and dwell times for commuter trains: A case study using automatic passenger count data}}, url = {{https://tristan2022.org/Papers/TRISTAN_2022_paper_6488.pdf}}, year = {{2022}}, }