Journal of the Indian Institute of Science

, Volume 99, Issue 4, pp 647–671 | Cite as

Modeling Household Vehicle Ownership in Emerging Economies

  • Jie Ma
  • Xin YeEmail author
Review Article


Household vehicle-ownership model is a critical part of urban transportation modeling system. This paper offers a comprehensive review on household vehicle demand models at disaggregate level, which consists of four aspects: data, methodology, application and prospect. The first section makes a relevant review on data source and type, and introduces the application of panel data and RP/SP data. In the methodology section, various modeling approaches for vehicle ownership are summarized into two broad categories, including static and dynamic models. Based on research objectives, vehicle-ownership models can be applied to forecast household vehicle count, vehicle type, vehicle use and vehicle transaction. Furthermore, the explanatory factors used in models are listed, and model applications are reviewed for emerging economies and particularly in the context of developing countries. Lastly, the prospect on the challenges and opportunities are discussed in the final section to provide references for future research.


Household vehicle ownership Emerging economies 



This research is partially supported by the general project “Study on the Mechanism of Travel Pattern Reconstruction in Mobile Internet Environment” (No. 71671129) and the key project “Research on the Theories for Modernization of Urban Transport Governance” (No. 71734004) from the National Natural Science Foundation of China.


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Copyright information

© Indian Institute of Science 2019

Authors and Affiliations

  1. 1.Key Laboratory of Road and Traffic Engineering of the Ministry of Education, College of Transportation EngineeringTongji University, Tongda Building, Room 537ShanghaiChina
  2. 2.Key Laboratory of Road and Traffic Engineering of the Ministry of Education, College of Transportation EngineeringTongji University, Tongda Building, Room 549ShanghaiChina

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