Crowding cost estimation with large scale smart card and vehicle location data

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Title: Crowding cost estimation with large scale smart card and vehicle location data
Authors: Horcher, D
Graham, DJ
Anderson, RJ
Item 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.
Issue Date: 9-Nov-2016
Date of Acceptance: 28-Oct-2016
ISSN: 0191-2615
Publisher: Elsevier
Start Page: 105
End Page: 125
Journal / Book Title: Transportation Research Part B - Methodological
Volume: 95
Copyright Statement: © 2016 Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Sponsor/Funder: IC Consultants Ltd
Funder's Grant Number: CIVG_P06158
Keywords: Logistics & Transportation
1507 Transportation And Freight Services
0102 Applied Mathematics
Publication Status: Published
Appears in Collections:Faculty of Engineering
Civil and Environmental Engineering

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