Understanding Car Ownership Decisions: Evidence from an Emerging Central Business District in Mumbai, India

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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Publication Details

Journal
Findings
Published
2026-03-27
DOI
https://doi.org/10.32866/001c.159386
Primary Topic
Urban Transport and Accessibility
Type
article
Field-Weighted Citation Impact
0.00
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article

Understanding Car Ownership Decisions: Evidence from an Emerging Central Business District in Mumbai, India

A. A ̊stro ̈m, K. V. Krishna Rao, Aditya Saxena
Findings
Urban Transport and Accessibility
article

Understanding Car Ownership Decisions: Evidence from an Emerging Central Business District in Mumbai, India

A. A ̊stro ̈m, K. V. Krishna Rao, Aditya Saxena
article en

Abstract

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.

Findings
Indian Institute of Technology Bombay (IN)
No poverty
Openalex Percentile: Top 5%
Urban Transport and Accessibility
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