This paper proposes a method for estimating transportation supply requirements when the suppressed demand of the transportation disadvantaged (TD) can be calculated and added to existing demand for travel. The underlying assumption is that the travel conditions of these TD groups must be equal to the ‘conventional’ demand, known as ‘full release’. Utilising the modelling approach for TD, suppressed demand analysis, diagnosis of difficulties and equity between conventional and disadvantaged groups were realised, while elaborating special cases for the most vulnerable TD groups (such as elderly and disabled persons) and simultaneously identifying areas of difficulty. From the early virtual results, it is concluded that, for the full release of suppressed trips (only a 5% increase), policy makers must be ready to face some financial burdens, requiring coordination of effort to both standardise these TD groups and reduce the costs incurred by operators.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A suppressed demand analysis method of the transportation disadvantaged in policy making


    Beteiligte:
    Duvarci, Yavuz (Autor:in) / Mizokami, Shoshi (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    01.04.2009




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt





    Latent demand for mobility: the transportation disadvantaged.

    Brevard, Joseph Hendrick | DSpace@MIT | 1971

    Freier Zugriff

    Transportation for the disadvantaged

    National Research Council, Highway Research Board, USA | TIBKAT | 1973


    The method of policy capturing for the transportation disadvantaged: simulation results

    Duvarci, Y. / Gur, G. / Wessex Institute of Technology | British Library Conference Proceedings | 2003


    Analytical Method to Determine Transportation Service Gaps for Transportation Disadvantaged Populations

    Bejleri, Ilir / Noh, Soowoong / Gu, Zongni et al. | Transportation Research Record | 2018