Factors influencing restoration time in railways
Mukunzi, Grace LU ; Jansson, Emil and Palmqvist, Carl William LU
(2024)
In Transportation Research Interdisciplinary Perspectives
28.
- Abstract
Railway incidents undermine both punctuality and capacity. As traffic volumes increase, the frequency of these incidents is also expected to increase, driven by higher asset utilization, reduced time for maintenance, and further worsened by climate change. This highlights the importance of efficient incident management and corrective maintenance. This study uses a combination of exploratory data analysis and random forest regression to investigate restoration time − a key delimiter of corrective maintenance. Using data from the Swedish railway network, the study investigates the driving factors of restoration times. The maintenance contractor and the type of incident including repair action, failure cause, and the number of concurrent... (More)
Railway incidents undermine both punctuality and capacity. As traffic volumes increase, the frequency of these incidents is also expected to increase, driven by higher asset utilization, reduced time for maintenance, and further worsened by climate change. This highlights the importance of efficient incident management and corrective maintenance. This study uses a combination of exploratory data analysis and random forest regression to investigate restoration time − a key delimiter of corrective maintenance. Using data from the Swedish railway network, the study investigates the driving factors of restoration times. The maintenance contractor and the type of incident including repair action, failure cause, and the number of concurrent incidents were found to have the highest influence on restoration times respectively. Weather parameters only show discernible influence (both direct and indirect influence) beyond marked thresholds. For the Swedish railway network, these thresholds are −20 °C and 23 °C maximum daily temperatures, 18 mm maximum daily precipitation, and 20 m/s maximum windspeed. Precipitation's and windspeed's direct effects become more prominent beyond 50 mm and 35 m/s respectively. An understanding of the factors influencing restoration times informs the process of designing corrective maintenance protocols. Moreover, the method used in this study can be adapted to other railway networks.
(Less)
- author
- Mukunzi, Grace
LU
; Jansson, Emil
and Palmqvist, Carl William
LU
- organization
- publishing date
- 2024-11
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Corrective maintenance, Disruptions, Railway incidents, Repair time, Response time, Restoration time
- in
- Transportation Research Interdisciplinary Perspectives
- volume
- 28
- article number
- 101268
- pages
- 16 pages
- publisher
- Elsevier
- external identifiers
-
- scopus:85208591618
- ISSN
- 2590-1982
- DOI
- 10.1016/j.trip.2024.101268
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2024 The Authors
- id
- ae2bfcab-03c1-4b02-959b-dc5399ccd0a9
- date added to LUP
- 2024-11-20 22:20:00
- date last changed
- 2025-04-04 15:28:55
@article{ae2bfcab-03c1-4b02-959b-dc5399ccd0a9,
abstract = {{<p>Railway incidents undermine both punctuality and capacity. As traffic volumes increase, the frequency of these incidents is also expected to increase, driven by higher asset utilization, reduced time for maintenance, and further worsened by climate change. This highlights the importance of efficient incident management and corrective maintenance. This study uses a combination of exploratory data analysis and random forest regression to investigate restoration time − a key delimiter of corrective maintenance. Using data from the Swedish railway network, the study investigates the driving factors of restoration times. The maintenance contractor and the type of incident including repair action, failure cause, and the number of concurrent incidents were found to have the highest influence on restoration times respectively. Weather parameters only show discernible influence (both direct and indirect influence) beyond marked thresholds. For the Swedish railway network, these thresholds are −20 °C and 23 °C maximum daily temperatures, 18 mm maximum daily precipitation, and 20 m/s maximum windspeed. Precipitation's and windspeed's direct effects become more prominent beyond 50 mm and 35 m/s respectively. An understanding of the factors influencing restoration times informs the process of designing corrective maintenance protocols. Moreover, the method used in this study can be adapted to other railway networks.</p>}},
author = {{Mukunzi, Grace and Jansson, Emil and Palmqvist, Carl William}},
issn = {{2590-1982}},
keywords = {{Corrective maintenance; Disruptions; Railway incidents; Repair time; Response time; Restoration time}},
language = {{eng}},
publisher = {{Elsevier}},
series = {{Transportation Research Interdisciplinary Perspectives}},
title = {{Factors influencing restoration time in railways}},
url = {{http://dx.doi.org/10.1016/j.trip.2024.101268}},
doi = {{10.1016/j.trip.2024.101268}},
volume = {{28}},
year = {{2024}},
}