Examines factors affecting car ownership, finding income and travel costs are key influences in an urban setting.
This study examines factors associated with car ownership in an emerging central business district in Mumbai, India, using a revealed preference survey and mixed logit model. The results indicate that higher individual monthly income, parenthood, and higher perceived travel costs of other modes are associated with a higher probability of car ownership, whereas higher perceived car travel cost is associated with a lower probability of car ownership. The model reveals significant heterogeneity in sensitivity to perceived two-wheeler travel cost. Scenario analysis indicates that lower perceived access time to public transport is associated with a lower predicted probability of car ownership.
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Saxena et al. (2026) studied this question.
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