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Published in: Transportation 6/2020

05-04-2019

Do preferences for BRT and LRT change as a voter, citizen, tax payer, or self-interested resident?

Authors: Camila Balbontin, David A. Hensher, Chinh Ho, Corinne Mulley

Published in: Transportation | Issue 6/2020

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Abstract

Interest in modal preferences remains a topic of high interest as governments make infrastructure decisions that often favour one mode over the other. An informative input into the infrastructure selection process should be the preferences of residents, since they can guide buy into support political and bureaucratic choice making. Cost–benefit analysis (CBA) uses the self-interest preferences of individuals as the relevant interpretation of ‘individual preferences count’, which in aggregate represent the benefit to society of candidate investments. However, the CBA benefit calculations can be rather restrictive with other preference metrics often being identified and used in various ways to inform the debate on infrastructure support. In this paper we assess how the preferences for bus rapid transit (BRT) and light rail transit (LRT) change with different roles the residents may play: a citizen or altruistic resident, a self-interested resident, a tax-payer, and as a voter. We use data collected in five countries to investigate preference differences and also to establish whether there is replicability of the findings across geographical jurisdictions. The findings suggest that there are, in general, noticeable differences in preference revelation across the metrics; however there are also both similarities and differences in the role of specific attribute drivers (as represented by willingness to pay, and magnitude of support for a specific mode) within and between preference metrics across countries.

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Appendix
Available only for authorised users
Footnotes
1
Full details of the Ngene syntax, and efficiency outputs for this application, is given in Hensher, Rose, and Greene (2015, Chapter 6.6.3 Design 3: D-Efficient Choice Design).
 
2
A within-subject design was used to obtain as much information as possible from each respondent as data were collected in 18 different cities.
 
3
65% of the sample use public transport. 30% have BRT and LRT available. And 58% of the people that have BRT and LRT available, use public transport.
 
4
All the model were estimated using PythonBiogeme (Bierlaire 2016).
 
5
As described in the ‘Choice Experiment’ section, questions on attribute non-attendance (ANA) were asked at the end of the experiment, where respondents indicated which attributes they did not consider (i.e., those they did not attend to). For more information on ANA refer to Hensher et al. (2015c).
 
6
It is also different for the investment than for the system attributes, but this is not relevant for the WTP.
 
7
As the models are non-linear in terms of experience and construction cost, individual WTP estimates are highly dependent on the cost attribute levels and individual experience. Therefore, the results presented are equivalent to a WTP that is calculated using the average of the cost attribute level and of the experience levels.
 
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Metadata
Title
Do preferences for BRT and LRT change as a voter, citizen, tax payer, or self-interested resident?
Authors
Camila Balbontin
David A. Hensher
Chinh Ho
Corinne Mulley
Publication date
05-04-2019
Publisher
Springer US
Published in
Transportation / Issue 6/2020
Print ISSN: 0049-4488
Electronic ISSN: 1572-9435
DOI
https://doi.org/10.1007/s11116-019-09998-2

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