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Analyzing car ownership in Quebec City: a comparison of traditional and latent class ordered and unordered models

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  • Sabreena Anowar
  • Shamsunnahar Yasmin
  • Naveen Eluru
  • Luis Miranda-Moreno

Abstract

Private car ownership plays a vital role in the daily travel decisions of individuals and households. The topic is of great interest to policy makers given the growing focus on global climate change, public health, and sustainable development issues. Not surprisingly, it is one of the most researched transportation topics. The extant literature on car ownership models considers the influence of exogenous variables to remain the same across the entire population. However, it is possible that the influence of exogenous variable effects might vary across the population. To accommodate this potential population heterogeneity in the context of car ownership, the current paper proposes the application of latent class versions of ordered (ordered logit) and unordered response (multinomial logit) models. The models are estimated using the data from Quebec City, Canada. The latent class models offer superior data fit compared to their traditional counterparts while clearly highlighting the presence of segmentation in the population. The validation exercise using the model estimation results further illustrates the strength of these models for examining car ownership decisions. Moreover, the latent class unordered response models perform slightly better than the latent class ordered response models for the metropolitan region examined. Copyright Springer Science+Business Media New York 2014

Suggested Citation

  • Sabreena Anowar & Shamsunnahar Yasmin & Naveen Eluru & Luis Miranda-Moreno, 2014. "Analyzing car ownership in Quebec City: a comparison of traditional and latent class ordered and unordered models," Transportation, Springer, vol. 41(5), pages 1013-1039, September.
    • Handle: RePEc:kap:transp:v:41:y:2014:i:5:p:1013-1039
    DOI: 10.1007/s11116-014-9522-9
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    7. Siliang Luan & Qingfang Yang & Zhongtai Jiang & Huxing Zhou & Fanyun Meng, 2022. "Analyzing Commute Mode Choice Using the LCNL Model in the Post-COVID-19 Era: Evidence from China," IJERPH, MDPI, vol. 19(9), pages 1-26, April.
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    9. Ao, Yibin & Zhang, Yuting & Wang, Yan & Chen, Yunfeng & Yang, Linchuan, 2020. "Influences of rural built environment on travel mode choice of rural residents: The case of rural Sichuan," Journal of Transport Geography, Elsevier, vol. 85(C).
    10. Rajesh Paleti & Lacramioara Balan, 2019. "Misclassification in travel surveys and implications to choice modeling: application to household auto ownership decisions," Transportation, Springer, vol. 46(4), pages 1467-1485, August.
    11. Paleti, Rajesh, 2015. "Implicit choice set generation in discrete choice models: Application to household auto ownership decisions," Transportation Research Part B: Methodological, Elsevier, vol. 80(C), pages 132-149.
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    14. Kim, Sung Hoo & Mokhtarian, Patricia L., 2018. "Taste heterogeneity as an alternative form of endogeneity bias: Investigating the attitude-moderated effects of built environment and socio-demographics on vehicle ownership using latent class modelin," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 130-150.

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