Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171
Loughborough University

Loughborough University Institutional Repository

Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/28313

Title: Weather and rail delays: Analysis of metropolitan rail in Dublin
Authors: Brazil, William
White, Arthur
Nogal, Maria
Caulfield, Brian
O'Connor, Alan
Morton, Craig
Issue Date: 2017
Publisher: © Elsevier
Citation: BRAZIL, W. ...et al., 2017. Weather and rail delays: Analysis of metropolitan rail in Dublin. Journal of Transport Geography, 59, pp. 69-76.
Abstract: With changes in the global climate, the occurrence of severe weather events appears to be becoming ever more frequent. As a result of this, vital transport networks are becoming increasingly exposed to disruption or disablement due to weather related incidents. In order to adapt to these changing conditions it is important to gain an understanding of how weather currently impacts transport systems. This paper presents the results of a statistical analysis of the impact of weather conditions on the performance of metropolitan commuter rail based upon observations made on the Dublin Area Rapid Transit (DART) rail system. Utilising a dataset comprising daily performance observations for 30 train services operating across the DART network, this research applies a number of multiple regression models to gain an understanding of the role of weather, temporal effects, and resulting interactions, on delays experienced by the network. While research in this area has traditional focused on the impact of single events, this study presents an examination of the role of multiple factors and their interactions. With regard to temporal effects, the largest delays are observed in the last third of the year, with peak delays occurring in November. Delays due to adverse weather conditions are observed, with rain being the primary factor related to poor performance. Interactions between different weather conditions, particularly wind and rain, as well as between weather conditions and the month in which a journey took place were also observed to be significant and resulting in delays to services.
Description: This paper is in closed access until 2nd August 2018.
Sponsor: This research forms part of the RAIN project which is funded under the European Commission’s Seventh Framework Programme Grant Number N° 608166.
Version: Accepted for publication
DOI: 10.1016/j.jtrangeo.2017.01.008
URI: https://dspace.lboro.ac.uk/2134/28313
Publisher Link: https://doi.org/10.1016/j.jtrangeo.2017.01.008
ISSN: 0966-6923
Appears in Collections:Closed Access (Architecture, Building and Civil Engineering)

Files associated with this item:

File Description SizeFormat
Brazil_et_al_2017.pdfAccepted version377.68 kBAdobe PDFView/Open


SFX Query

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.