Abstract Development of vehicle ownership models is challenging in developing countries due to lack of quality data. In the Indian context, although some studies have been conducted about disaggregate modelling of vehicle ownership behaviour, most of them are region specific. This paper reviews the development of a basic multinomial logit vehicle ownership model presented earlier by the same authors using available data sets in India and then presents another multinomial logit model which uses a segmented specification of the systematic utilities of various alternatives. The new model is designed to examine if the various factors affecting vehicle ownership behaviour do so differently for richer households as compared to the rest of the households. It is observed that the various factors indeed affect private vehicle ownership decision making process differently for richer households. The new model is then tested for efficiency using a simulation testing technique. The simulation test shows that the new model is effective in modelling private vehicle ownership in Indian scenario. The paper also presents various inferences drawn from the coefficients of the explanatory variables included in the model.


    Access

    Download


    Export, share and cite



    Title :

    A Piecewise Linear Multinomial Logit Model of Private Vehicle Ownership Behaviour of Indian Households


    Contributors:

    Published in:

    Publication date :

    2016-06-30


    Size :

    10 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Bayesian Multinomial Logit

    Washington, Simon / Congdon, Peter / Karlaftis, Matthew G. et al. | Transportation Research Record | 2009


    Multinomial Logit Regression

    Retherford, Robert D. / Choe, Minja Kim | Wiley | 1993


    Appendix F: Multinomial Logit Model

    Kumar, V. / Petersen, J. Andrew | Wiley | 2012


    A Multinomial Logit Model of Pedestrian-Vehicle Crash Severity

    Tay, Richard / Choi, Jaisung / Kattan, Lina et al. | Taylor & Francis Verlag | 2011