There is a significant body of research related to the valuation of reliability in transportation. Such work has tended to rely on the stated preference methodology, where respondents are asked to make trade-offs between the mean and standard deviation of travel time. The literature has suggested that a revealed preference (RP) methodology may provide an alternative means of estimating a value of reliability. In this article we show how emerging data sources reveal travelers' preferences and, in combination with traditional choice modeling methods, can be used to estimate a value of reliability. We illustrate this RP methodology using smart-card data from the multimodal public transport network of London, UK. We are able to estimate a useable “reliability ratio” for three of four public transport modes modeled, and account for an unexpected result based upon the data available.


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    Titel :

    Toward an automated methodology for the valuation of reliability


    Beteiligte:
    Leahy, Christopher (Autor:in) / Batley, Richard (Autor:in) / Chen, Haibo (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2016-07-03


    Format / Umfang :

    11 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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