Crowding cost estimation with large scale smart card and vehicle location data
File(s)
Accepted version
Author(s)
Horcher, D
Graham, DJ
Anderson, RJ
Type
Journal Article
Abstract
Crowding discomfort is an external cost of public transport trips imposed on fellow passengers that has to be measured in order to derive optimal supply-side decisions. This paper presents a comprehensive method to estimate the user cost of crowding in terms of the equivalent travel time loss, in a revealed preference route choice framework. Using automated demand and train location data we control for fluctuations in crowding conditions on the entire length of a metro journey, including variations in the density of standing passengers and the probability of finding a seat. The estimated standing penalty is 26.5% of the uncrowded value of in-vehicle travel time. An additional passenger per square metre on average adds 11.9% to the travel time multiplier. These results are in line with earlier revealed preference values, and suggest that stated choice methods may overestimate the user cost of crowding. As a side-product, and an important input of the route choice analysis, we derive a novel passenger-to-train assignment method to recover the daily crowding and standing probability pattern in the metro network.
Date Issued
2017-01-01
Date Acceptance
2016-10-28
Citation
Transportation Research Part B: Methodological: an international journal, 2017, 95 (1), pp.105-125
ISSN
0191-2615
Publisher
Elsevier
Start Page
105
End Page
125
Journal / Book Title
Transportation Research Part B: Methodological: an international journal
Volume
95
Issue
1
Copyright Statement
© 2016 Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor
IC Consultants Ltd
Identifier
http://www.imperial.ac.uk/people/d.horcher14
Grant Number
CIVG_P06158
Subjects
Social Sciences
Science & Technology
Technology
Economics
Engineering, Civil
Operations Research & Management Science
Transportation
Transportation Science & Technology
Business & Economics
Engineering
Public transport
Crowding
Revealed preference
Smart card data
AVL data
PUBLIC TRANSPORT
TRAIN
RELIABILITY
ASSIGNMENT
CONGESTION
VALUATION
CHOICE
MODEL
TIME
Logistics & Transportation
0102 Applied Mathematics
0905 Civil Engineering
1507 Transportation and Freight Services
Publication Status
Published
Date Publish Online
2016-11-09