Passenger flows and dwell times for commuter trains in Stockholm
(2021) 9th International Conference on Railway Operations Modelling and Analysis (ICROMA) – RailBeijing- Abstract
- This study investigates how the volume and flow of passengers affect dwell times, using data from commuter trains in Stockholm. We show that dwell times often take longer than scheduled and that most station stops involve rather limited numbers of passengers. Improving the performance at these stops with small volumes can thus have a sizeable impact on the overall on-time performance. We find a quadratic relationship between the number of passengers and the likelihood of dwell times taking longer than scheduled. Dwell times are shortest when the flow of passengers is entirely in one direction, boarding or alighting, for both lower and higher passenger volumes. If both boarding and alighting flows are present, it is best that they are as... (More)
- This study investigates how the volume and flow of passengers affect dwell times, using data from commuter trains in Stockholm. We show that dwell times often take longer than scheduled and that most station stops involve rather limited numbers of passengers. Improving the performance at these stops with small volumes can thus have a sizeable impact on the overall on-time performance. We find a quadratic relationship between the number of passengers and the likelihood of dwell times taking longer than scheduled. Dwell times are shortest when the flow of passengers is entirely in one direction, boarding or alighting, for both lower and higher passenger volumes. If both boarding and alighting flows are present, it is best that they are as balanced as possible in the case of lower passenger volumes. The influence of this proportion is less prominent when passenger volumes are higher. Scheduled dwell times should thus be based both on the expected volume of passengers and on the expected proportion of boarding and alighting passengers. (Less)
- Abstract (Swedish)
- This study investigates how the volume and flow of passengers affect dwell times, using
data from commuter trains in Stockholm. We show that dwell times often take longer than
scheduled and that most station stops involve rather limited numbers of passengers.
Improving the performance at these stops with small volumes can thus have a sizeable
impact on the overall on-time performance. We find a quadratic relationship between the
number of passengers and the likelihood of dwell times taking longer than scheduled. Dwell
times are shortest when the flow of passengers is entirely in one direction, boarding or
alighting, for both lower and higher passenger volumes. If both boarding and alighting flows
are... (More) - This study investigates how the volume and flow of passengers affect dwell times, using
data from commuter trains in Stockholm. We show that dwell times often take longer than
scheduled and that most station stops involve rather limited numbers of passengers.
Improving the performance at these stops with small volumes can thus have a sizeable
impact on the overall on-time performance. We find a quadratic relationship between the
number of passengers and the likelihood of dwell times taking longer than scheduled. Dwell
times are shortest when the flow of passengers is entirely in one direction, boarding or
alighting, for both lower and higher passenger volumes. If both boarding and alighting flows
are present, it is best that they are as balanced as possible in the case of lower passenger
volumes. The influence of this proportion is less prominent when passenger volumes are
higher. Scheduled dwell times should thus be based both on the expected volume of
passengers and on the expected proportion of boarding and alighting passengers. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/bf43d9ce-2b22-4a96-ac38-076c5c569fd1
- author
- Kuipers, Ruben
LU
; Palmqvist, Carl-William
LU
and Olsson, Nils LU
- organization
- publishing date
- 2021-11-03
- type
- Contribution to conference
- publication status
- published
- subject
- pages
- 11 pages
- conference name
- 9th International Conference on Railway Operations Modelling and Analysis (ICROMA) – RailBeijing
- conference location
- Beijing, China
- conference dates
- 2021-11-03 - 2021-11-07
- project
- Punctual Metropolitan Railways – an analysis of delays at stations and effects of altered dwell time planning approaches and effective traveller exchanges
- Mindre Störningar i Tågtrafiken, del 2
- language
- Swedish
- LU publication?
- yes
- id
- bf43d9ce-2b22-4a96-ac38-076c5c569fd1
- date added to LUP
- 2022-02-28 09:23:13
- date last changed
- 2023-03-28 02:29:45
@misc{bf43d9ce-2b22-4a96-ac38-076c5c569fd1, abstract = {{This study investigates how the volume and flow of passengers affect dwell times, using data from commuter trains in Stockholm. We show that dwell times often take longer than scheduled and that most station stops involve rather limited numbers of passengers. Improving the performance at these stops with small volumes can thus have a sizeable impact on the overall on-time performance. We find a quadratic relationship between the number of passengers and the likelihood of dwell times taking longer than scheduled. Dwell times are shortest when the flow of passengers is entirely in one direction, boarding or alighting, for both lower and higher passenger volumes. If both boarding and alighting flows are present, it is best that they are as balanced as possible in the case of lower passenger volumes. The influence of this proportion is less prominent when passenger volumes are higher. Scheduled dwell times should thus be based both on the expected volume of passengers and on the expected proportion of boarding and alighting passengers.}}, author = {{Kuipers, Ruben and Palmqvist, Carl-William and Olsson, Nils}}, language = {{swe}}, month = {{11}}, title = {{Passenger flows and dwell times for commuter trains in Stockholm}}, url = {{https://lup.lub.lu.se/search/files/114665169/RailBeijing2021_paper_56.pdf}}, year = {{2021}}, }