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Some Influencing Factors For Passenger Train Punctuality In Sweden

Palmqvist, Carl-William LU ; Olsson, Nils and Hiselius, Lena LU (2017) Annual Conference of the Prognostics and Health Management Society 2017 In International Journal of Prognostics and Health Management 8(Special Issue on Railways & Mass Transportation).
Abstract (Swedish)
Punctuality is regarded as an important measure of the performance of a railway system, and is the one most commonly used and discussed measureboth in the industry and among travelers. In many countries,the punctuality of trains, and thus the performance of the railway system, is deemed as lacking. The aim of this article is to study and quantify how severalweather-,timetable, operational and infrastructure-related variables influence punctuality in passenger train traffic. Thiscan contribute tobetter understanding of the performance of railway systems, and help identify possible improvements.The study is based on a dataset containing detailed timetables and records of all... (More)
Punctuality is regarded as an important measure of the performance of a railway system, and is the one most commonly used and discussed measureboth in the industry and among travelers. In many countries,the punctuality of trains, and thus the performance of the railway system, is deemed as lacking. The aim of this article is to study and quantify how severalweather-,timetable, operational and infrastructure-related variables influence punctuality in passenger train traffic. Thiscan contribute tobetter understanding of the performance of railway systems, and help identify possible improvements.The study is based on a dataset containing detailed timetables and records of all 32.4 million train movements for all trains in Sweden during the year of 2015, over 1.1 million departures. Supporting this is a comprehensive register of over 80000 infrastructure elements, and almost 87 million weather observations. We consider the size and allocation of margins,the existence of negative margins, two measures for traffic volume, the journey time and distance, how often different vehicleindividuals are used,the number of line and station interactions between trains, theamount of precipitation, the temperature, wind speed, snow depth, and eight types of infrastructure elements. We show how these variables affect punctuality, and estimate how much of the variation in punctuality can be explained by them.The findings can be used to designtimetables, change operational parametersand modify infrastructure designso that punctuality improves. They can also help identify areas which should be prioritized in planning, maintenance and research. (Less)
Abstract
Punctuality is regarded as an important measure of the performance of a railway system, and is the one most commonly used and discussed measure both in the industry and among travelers. In many countries, the punctuality of trains, and thus the performance of the railway system, is deemed as lacking. The aim of this article is to study and quantify how several weather-, timetable, operational and infrastructure-related variables influence punctuality in passenger train traffic. This can contribute to better understanding of the performance of railway systems, and help identify possible improvements.
The study is based on a dataset containing detailed timetables and records of all 32.4 million train movements for all trains in Sweden... (More)
Punctuality is regarded as an important measure of the performance of a railway system, and is the one most commonly used and discussed measure both in the industry and among travelers. In many countries, the punctuality of trains, and thus the performance of the railway system, is deemed as lacking. The aim of this article is to study and quantify how several weather-, timetable, operational and infrastructure-related variables influence punctuality in passenger train traffic. This can contribute to better understanding of the performance of railway systems, and help identify possible improvements.
The study is based on a dataset containing detailed timetables and records of all 32.4 million train movements for all trains in Sweden during the year of 2015, over 1.1 million departures. Supporting this is a comprehensive register of over 80 000 infrastructure elements, and almost 87 million weather observations.
We consider the size and allocation of margins, the existence of negative margins, two measures for traffic volume, the journey time and distance, how often different vehicle individuals are used, the number of line and station interactions between trains, the amount of precipitation, the temperature, wind speed, snow depth, and eight types of infrastructure elements. We show how these variables affect punctuality, and estimate how much of the variation in punctuality can be explained by them.
The findings can be used to design timetables, change operational parameters and modify infrastructure design so that punctuality improves. They can also help identify areas which should be prioritized in planning, maintenance and research. (Less)
Please use this url to cite or link to this publication:
author
organization
alternative title
Några faktorer som påverkar punktligheten för resandetåg i Sverige
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Järnväg, Tåg, Försening, Orsaker, Punktlighet
in
International Journal of Prognostics and Health Management
volume
8
issue
Special Issue on Railways & Mass Transportation
pages
13 pages
publisher
PHM Society
conference name
Annual Conference of the Prognostics and Health Management Society 2017
external identifiers
  • scopus:85037714778
ISSN
2153-2648
language
English
LU publication?
yes
id
0f5b6553-212d-47b6-bedb-b8e11add8246
date added to LUP
2017-11-06 13:28:47
date last changed
2018-01-07 12:24:52
@article{0f5b6553-212d-47b6-bedb-b8e11add8246,
  abstract     = {Punctuality is regarded as an important measure of the performance of a railway system, and is the one most commonly used and discussed measure both in the industry and among travelers. In many countries, the punctuality of trains, and thus the performance of the railway system, is deemed as lacking. The aim of this article is to study and quantify how several weather-, timetable, operational and infrastructure-related variables influence punctuality in passenger train traffic. This can contribute to better understanding of the performance of railway systems, and help identify possible improvements.<br/>The study is based on a dataset containing detailed timetables and records of all 32.4 million train movements for all trains in Sweden during the year of 2015, over 1.1 million departures. Supporting this is a comprehensive register of over 80 000 infrastructure elements, and almost 87 million weather observations.<br/>We consider the size and allocation of margins, the existence of negative margins, two measures for traffic volume, the journey time and distance, how often different vehicle individuals are used, the number of line and station interactions between trains, the amount of precipitation, the temperature, wind speed, snow depth, and eight types of infrastructure elements. We show how these variables affect punctuality, and estimate how much of the variation in punctuality can be explained by them.<br/>The findings can be used to design timetables, change operational parameters and modify infrastructure design so that punctuality improves. They can also help identify areas which should be prioritized in planning, maintenance and research.},
  articleno    = {020},
  author       = {Palmqvist, Carl-William and Olsson, Nils and Hiselius, Lena},
  issn         = {2153-2648},
  keyword      = {Järnväg,Tåg,Försening,Orsaker,Punktlighet},
  language     = {eng},
  month        = {10},
  number       = {Special Issue on Railways & Mass Transportation},
  pages        = {13},
  publisher    = {PHM Society},
  series       = {International Journal of Prognostics and Health Management},
  title        = {Some Influencing Factors For Passenger Train Punctuality In Sweden},
  volume       = {8},
  year         = {2017},
}