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Erschienen in: Transportation in Developing Economies 2/2016

01.10.2016 | Original Article

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

verfasst von: Sarojeet Dash, Vinod Vasudevan, Sanjay Kumar Singh

Erschienen in: Transportation in Developing Economies | Ausgabe 2/2016

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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.

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Fußnoten
1
Institutional medical expenses are defined as expenses incurred by a household on medical treatment as in-patient of a medical institution.
 
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Metadaten
Titel
A Piecewise Linear Multinomial Logit Model of Private Vehicle Ownership Behaviour of Indian Households
verfasst von
Sarojeet Dash
Vinod Vasudevan
Sanjay Kumar Singh
Publikationsdatum
01.10.2016
Verlag
Springer International Publishing
Erschienen in
Transportation in Developing Economies / Ausgabe 2/2016
Print ISSN: 2199-9287
Elektronische ISSN: 2199-9295
DOI
https://doi.org/10.1007/s40890-016-0022-9

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