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The Impact of Weather Phenomena on Passenger Volumes for Commuter Trains

Kuipers, Ruben LU and Ochsner, Michelle LU (2023) 11th Symposium of the European Association for Research in Transportation
Abstract
Weather impacts several aspects of our daily life, of which the way we travel is one. The relationship between weather phenomena and ridership of trains has not received much attention previously. The study we present here aims to understand the impact of temperature, wind, and precipitation on passenger volumes for commuter trains. To do so we make use of automatic passenger count and weather data from over a million unique station stops, spanning two years, in the Southern region of Scania in Sweden. Our findings show that changes in the level of precipitation do not affect the volume of boarding passengers. Statistically significant effects are found for changes in temperature and wind speeds. These effects are most prominent for... (More)
Weather impacts several aspects of our daily life, of which the way we travel is one. The relationship between weather phenomena and ridership of trains has not received much attention previously. The study we present here aims to understand the impact of temperature, wind, and precipitation on passenger volumes for commuter trains. To do so we make use of automatic passenger count and weather data from over a million unique station stops, spanning two years, in the Southern region of Scania in Sweden. Our findings show that changes in the level of precipitation do not affect the volume of boarding passengers. Statistically significant effects are found for changes in temperature and wind speeds. These effects are most prominent for departures outside of peak hours. The results are useful for planning more accurate dwell times and rolling stock circulations and can serve as inputs during real-time rescheduling problems and demand modelling (Less)
Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Contribution to conference
publication status
published
subject
keywords
Trains, weather, planning, passengers, railway
conference name
11th Symposium of the European Association for Research in Transportation
conference location
Zurich, Switzerland
conference dates
2023-09-06 - 2023-09-08
project
Punctual Metropolitan Railways – an analysis of delays at stations and effects of altered dwell time planning approaches and effective traveller exchanges
language
English
LU publication?
yes
id
4376b677-caaa-49b7-91ea-b75a6a6ec514
alternative location
https://transp-or.epfl.ch/heart/2023/abstracts/hEART_2023_paper_840.pdf
date added to LUP
2024-02-12 09:46:38
date last changed
2024-02-13 12:51:20
@misc{4376b677-caaa-49b7-91ea-b75a6a6ec514,
  abstract     = {{Weather impacts several aspects of our daily life, of which the way we travel is one. The relationship between weather phenomena and ridership of trains has not received much attention previously. The study we present here aims to understand the impact of temperature, wind, and precipitation on passenger volumes for commuter trains. To do so we make use of automatic passenger count and weather data from over a million unique station stops, spanning two years, in the Southern region of Scania in Sweden. Our findings show that changes in the level of precipitation do not affect the volume of boarding passengers. Statistically significant effects are found for changes in temperature and wind speeds. These effects are most prominent for departures outside of peak hours. The results are useful for planning more accurate dwell times and rolling stock circulations and can serve as inputs during real-time rescheduling problems and demand modelling}},
  author       = {{Kuipers, Ruben and Ochsner, Michelle}},
  keywords     = {{Trains; weather; planning; passengers; railway}},
  language     = {{eng}},
  title        = {{The Impact of Weather Phenomena on Passenger Volumes for Commuter Trains}},
  url          = {{https://transp-or.epfl.ch/heart/2023/abstracts/hEART_2023_paper_840.pdf}},
  year         = {{2023}},
}