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Assessing the customer impact of service disruptions on the London Underground network using Automated Fare Collection data

Assessing the customer impact of service disruptions on the London Underground network using Automated Fare Collection data
Assessing the customer impact of service disruptions on the London Underground network using Automated Fare Collection data
Service disruptions are a common undesirable occurrence in urban public transport networks, in response to which passengers often take action. Tis may involve changing their route, altering their origin and/or destination, switching to other modes or even cancelling their trip altogether. The aim of this study is to provide an insight into the factors that influence this behaviour. Using the London Underground network as an example, passenger responses to incidents are inferred by analysing an eight-week dataset of the “Oyster” Automated Fare Collection system, while service disruptions are extracted from London Underground’s CuPID database of incidents during the same period. Binary logistic regression is used to fit models describing passenger responses to disruptions in terms of continuing their journey, changing origin or destination station, or leaving the network altogether. The results suggest that passengers are more likely to take action in response to a service disruption if this has a delay of less than 5 mins or more than 20 mins, but more likely to stick to their original route for delay durations in between. Also, passengers are more likely to change station or leave the network if the disruption occurs at the origin station of their journey.
1-6
Kaparias, Ioannis
e7767c57-7ac8-48f2-a4c6-6e3cb546a0b7
Xu, Chi
01106d75-4868-4b73-a728-0f49155606da
Smith, Richard
3231b491-f925-4b2c-bcab-c1dc1074a029
Winslett, David
a9a41881-f1d3-4cd6-bff7-a512cd7b3dc2
Kaparias, Ioannis
e7767c57-7ac8-48f2-a4c6-6e3cb546a0b7
Xu, Chi
01106d75-4868-4b73-a728-0f49155606da
Smith, Richard
3231b491-f925-4b2c-bcab-c1dc1074a029
Winslett, David
a9a41881-f1d3-4cd6-bff7-a512cd7b3dc2

Kaparias, Ioannis, Xu, Chi, Smith, Richard and Winslett, David (2019) Assessing the customer impact of service disruptions on the London Underground network using Automated Fare Collection data. 8th Symposium of the European Association for Research in Transportation, , Budapest, Hungary. 04 - 06 Sep 2019. pp. 1-6 .

Record type: Conference or Workshop Item (Paper)

Abstract

Service disruptions are a common undesirable occurrence in urban public transport networks, in response to which passengers often take action. Tis may involve changing their route, altering their origin and/or destination, switching to other modes or even cancelling their trip altogether. The aim of this study is to provide an insight into the factors that influence this behaviour. Using the London Underground network as an example, passenger responses to incidents are inferred by analysing an eight-week dataset of the “Oyster” Automated Fare Collection system, while service disruptions are extracted from London Underground’s CuPID database of incidents during the same period. Binary logistic regression is used to fit models describing passenger responses to disruptions in terms of continuing their journey, changing origin or destination station, or leaving the network altogether. The results suggest that passengers are more likely to take action in response to a service disruption if this has a delay of less than 5 mins or more than 20 mins, but more likely to stick to their original route for delay durations in between. Also, passengers are more likely to change station or leave the network if the disruption occurs at the origin station of their journey.

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Kaparias et al - hEART 2019 paper - Version of Record
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More information

Published date: 2019
Venue - Dates: 8th Symposium of the European Association for Research in Transportation, , Budapest, Hungary, 2019-09-04 - 2019-09-06

Identifiers

Local EPrints ID: 434089
URI: http://eprints.soton.ac.uk/id/eprint/434089
PURE UUID: 5f939502-d198-4977-a503-6a4f54cd29b4
ORCID for Ioannis Kaparias: ORCID iD orcid.org/0000-0002-8857-1865

Catalogue record

Date deposited: 12 Sep 2019 16:30
Last modified: 22 Nov 2021 03:14

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Contributors

Author: Chi Xu
Author: Richard Smith
Author: David Winslett

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