A prototype model for understanding heat-related rail incidents: A case study on the Anglia area in Great Britain

Q. Fu; D. J. Jaroszweski; J. M. Easton

doi:10.1049/cp.2018.0071

A prototype model for understanding heat-related rail incidents: A case study on the Anglia area in Great Britain

Q. Fu, D. J. Jaroszweski, J. M. Easton

School of Social Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

In this paper, we present a prototype model based on logistic regression analysis, with the aim to understand better the impact of temperature on heat-related incidents on the rail network in Britain. The work draws support from climatic, geographical, and vegetation data resources, and investigates ways in which these data may be used to predict when and where heat-related incidents will most likely occur, thus enabling us to gain a deeper understanding of the conditions that prevail in sites at risk of heat-related disruption events on the rail network in Great Britain. The method is demonstrated using historical records of heat-related incidents within the Anglia area between 2006/07 and 2014/15. By considering a selection of variables, the initial results show that the prototype has good overall performance in terms of both understanding as well as prediction of heat-related incident occurrence.

Original language	English
Title of host publication	8th International Conference on Railway Engineering (ICRE 2018)
Publisher	Institution of Engineering and Technology
ISBN (Print)	9781785618468
DOIs	https://doi.org/10.1049/cp.2018.0071
Publication status	Published - 2018
Event	8th International Conference on Railway Engineering 2018 - London, United Kingdom Duration: 16 May 2018 → 17 May 2018

Conference

Conference	8th International Conference on Railway Engineering 2018
Abbreviated title	ICRE 2018
Country/Territory	United Kingdom
City	London
Period	16/05/18 → 17/05/18

Keywords

Heat-related incident
High temperature
Logistic regression
Rail

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1049/cp.2018.0071

Cite this

@inproceedings{0bea79044aad4c6e9622964d8b6b5b90,

title = "A prototype model for understanding heat-related rail incidents: A case study on the Anglia area in Great Britain",

abstract = "In this paper, we present a prototype model based on logistic regression analysis, with the aim to understand better the impact of temperature on heat-related incidents on the rail network in Britain. The work draws support from climatic, geographical, and vegetation data resources, and investigates ways in which these data may be used to predict when and where heat-related incidents will most likely occur, thus enabling us to gain a deeper understanding of the conditions that prevail in sites at risk of heat-related disruption events on the rail network in Great Britain. The method is demonstrated using historical records of heat-related incidents within the Anglia area between 2006/07 and 2014/15. By considering a selection of variables, the initial results show that the prototype has good overall performance in terms of both understanding as well as prediction of heat-related incident occurrence.",

keywords = "Heat-related incident, High temperature, Logistic regression, Rail",

author = "Q. Fu and Jaroszweski, \{D. J.\} and Easton, \{J. M.\}",

note = "Publisher Copyright: {\textcopyright} 2018 Institution of Engineering and Technology. All rights reserved.; 8th International Conference on Railway Engineering 2018, ICRE 2018 ; Conference date: 16-05-2018 Through 17-05-2018",

year = "2018",

doi = "10.1049/cp.2018.0071",

language = "English",

isbn = "9781785618468",

booktitle = "8th International Conference on Railway Engineering (ICRE 2018)",

publisher = "Institution of Engineering and Technology",

address = "United Kingdom",

}

Fu, Q, Jaroszweski, DJ & Easton, JM 2018, A prototype model for understanding heat-related rail incidents: A case study on the Anglia area in Great Britain. in 8th International Conference on Railway Engineering (ICRE 2018). Institution of Engineering and Technology, 8th International Conference on Railway Engineering 2018, London, United Kingdom, 16/05/18. https://doi.org/10.1049/cp.2018.0071

TY - GEN

T1 - A prototype model for understanding heat-related rail incidents

T2 - 8th International Conference on Railway Engineering 2018

AU - Fu, Q.

AU - Jaroszweski, D. J.

AU - Easton, J. M.

PY - 2018

Y1 - 2018

N2 - In this paper, we present a prototype model based on logistic regression analysis, with the aim to understand better the impact of temperature on heat-related incidents on the rail network in Britain. The work draws support from climatic, geographical, and vegetation data resources, and investigates ways in which these data may be used to predict when and where heat-related incidents will most likely occur, thus enabling us to gain a deeper understanding of the conditions that prevail in sites at risk of heat-related disruption events on the rail network in Great Britain. The method is demonstrated using historical records of heat-related incidents within the Anglia area between 2006/07 and 2014/15. By considering a selection of variables, the initial results show that the prototype has good overall performance in terms of both understanding as well as prediction of heat-related incident occurrence.

AB - In this paper, we present a prototype model based on logistic regression analysis, with the aim to understand better the impact of temperature on heat-related incidents on the rail network in Britain. The work draws support from climatic, geographical, and vegetation data resources, and investigates ways in which these data may be used to predict when and where heat-related incidents will most likely occur, thus enabling us to gain a deeper understanding of the conditions that prevail in sites at risk of heat-related disruption events on the rail network in Great Britain. The method is demonstrated using historical records of heat-related incidents within the Anglia area between 2006/07 and 2014/15. By considering a selection of variables, the initial results show that the prototype has good overall performance in terms of both understanding as well as prediction of heat-related incident occurrence.

KW - Heat-related incident

KW - High temperature

KW - Logistic regression

KW - Rail

UR - https://www.scopus.com/pages/publications/85049678190

U2 - 10.1049/cp.2018.0071

DO - 10.1049/cp.2018.0071

M3 - Conference contribution

AN - SCOPUS:85049678190

SN - 9781785618468

BT - 8th International Conference on Railway Engineering (ICRE 2018)

PB - Institution of Engineering and Technology

Y2 - 16 May 2018 through 17 May 2018

ER -

A prototype model for understanding heat-related rail incidents: A case study on the Anglia area in Great Britain

Abstract

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this