Imperial College London

Professor Dan Graham

Faculty of EngineeringDepartment of Civil and Environmental Engineering

Professor of Statistical Modelling
 
 
 
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Contact

 

+44 (0)20 7594 6088d.j.graham Website

 
 
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Assistant

 

Ms Maya Mistry +44 (0)20 7594 6100

 
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Location

 

611Skempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Horcher:2017:10.1016/j.trb.2016.10.015,
author = {Horcher, D and Graham, DJ and Anderson, RJ},
doi = {10.1016/j.trb.2016.10.015},
journal = {Transportation Research Part B: Methodological: an international journal},
pages = {105--125},
title = {Crowding cost estimation with large scale smart card and vehicle location data},
url = {http://dx.doi.org/10.1016/j.trb.2016.10.015},
volume = {95},
year = {2017}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - 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.
AU - Horcher,D
AU - Graham,DJ
AU - Anderson,RJ
DO - 10.1016/j.trb.2016.10.015
EP - 125
PY - 2017///
SN - 0191-2615
SP - 105
TI - Crowding cost estimation with large scale smart card and vehicle location data
T2 - Transportation Research Part B: Methodological: an international journal
UR - http://dx.doi.org/10.1016/j.trb.2016.10.015
UR - http://www.imperial.ac.uk/people/d.horcher14
UR - https://www.sciencedirect.com/science/article/pii/S0191261516303551
UR - http://hdl.handle.net/10044/1/42483
VL - 95
ER -