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Effects Of Public Transit On Automobile Ownership And Use In Households Of The Usa

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  • Hong Sok Kim
  • Eungcheol Kim

Abstract

This study develops econometric models to predict the effect of access to and distance to public transit on automobile ownership and miles driven. Ordered logit model is used for automobile ownership and multiple regression model is used for vehicle miles traveled (VMT). Inverse square root of transit distance is used as a measure for transit accessibility. Important findings in the analysis are (i) the number of licensed drivers is the primary determinant of the number of automobiles owned, (ii) the presence of children is not a significant factor in automobile ownership and VMT, and (iii) the VMT of multi†vehicle households is more sensitive to transit than one†vehicle households. Transit simulations are performed by improving the distance to and access to public transit. The results showed that total VMT in National Ambient Air Quality Standard non†attained metropolitan statistical area is reduced by 11% (approximately 60 billion miles) with 0.1 miles simulation.

Suggested Citation

  • Hong Sok Kim & Eungcheol Kim, 2004. "Effects Of Public Transit On Automobile Ownership And Use In Households Of The Usa," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 16(3), pages 245-262, November.
    • Handle: RePEc:bla:revurb:v:16:y:2004:i:3:p:245-262
    DOI: 10.1111/j.1467-940X.2005.00090.x
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    Cited by:

    1. Sabouri, Sadegh & Tian, Guang & Ewing, Reid & Park, Keunhyun & Greene, William, 2021. "The built environment and vehicle ownership modeling: Evidence from 32 diverse regions in the U.S," Journal of Transport Geography, Elsevier, vol. 93(C).
    2. Metin Senbil & Ryuichi Kitamura & Jamilah Mohamad, 2009. "Residential location, vehicle ownership and travel in Asia: a comparative analysis of Kei-Han-Shin and Kuala Lumpur metropolitan areas," Transportation, Springer, vol. 36(3), pages 325-350, May.
    3. Franco Chingcuanco & Eric Miller, 2014. "A meta-model of vehicle ownership choice parameters," Transportation, Springer, vol. 41(5), pages 923-945, September.
    4. Lara Al Otary & Maya Abou-Zeid & Isam Kaysi, 2022. "Modeling car ownership and use in a developing country context with informal public transportation," Transportation, Springer, vol. 49(1), pages 1-36, February.
    5. Chetan Doddamani & M. Manoj, 2023. "Analysis of the influences of built environment measures on household car and motorcycle ownership decisions in Hubli-Dharwad cities," Transportation, Springer, vol. 50(1), pages 205-243, February.
    6. Yao, Mingzhu & Wang, Donggen, 2018. "Mobility and travel behavior in urban China: The role of institutional factors," Transport Policy, Elsevier, vol. 69(C), pages 122-131.
    7. Te Ma & Mahdi Aghaabbasi & Mujahid Ali & Rosilawati Zainol & Amin Jan & Abdeliazim Mustafa Mohamed & Abdullah Mohamed, 2022. "Nonlinear Relationships between Vehicle Ownership and Household Travel Characteristics and Built Environment Attributes in the US Using the XGBT Algorithm," Sustainability, MDPI, vol. 14(6), pages 1-18, March.
    8. 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.
    9. Mitra, Suman K. & Saphores, Jean-Daniel M., 2017. "Carless in California: Green choice or misery?," Journal of Transport Geography, Elsevier, vol. 65(C), pages 1-12.
    10. Lin, Ying & Yang, Xiuyun & Li, Yanan & Yao, Shunbo, 2020. "The effect of forest on PM2.5 concentrations: A spatial panel approach," Forest Policy and Economics, Elsevier, vol. 118(C).
    11. Yao, Di & Xu, Liqun & Zhang, Chunqin & Li, Jinpei, 2021. "Revisiting the interactions between bus service quality, car ownership and mode use: A case study in Changzhou, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 329-344.
    12. Cinzia Cirillo & Yangwen Liu & Jean-Michel Tremblay, 2017. "Simulation, numerical approximation and closed forms for joint discrete continuous models with an application to household vehicle ownership and use," Transportation, Springer, vol. 44(5), pages 1105-1125, September.
    13. Shuaishuai Han & Bindong Sun, 2019. "Impact of Population Density on PM 2.5 Concentrations: A Case Study in Shanghai, China," Sustainability, MDPI, vol. 11(7), pages 1-17, April.
    14. Guang Tian & Keunhyun Park & Reid Ewing, 2019. "Trip and parking generation rates for different housing types: Effects of compact development," Urban Studies, Urban Studies Journal Limited, vol. 56(8), pages 1554-1575, June.
    15. Huang, Xiaoyan & (Jason) Cao, Xinyu & Yin, Jiangbin & Cao, Xiaoshu, 2019. "Can metro transit reduce driving? Evidence from Xi'an, China," Transport Policy, Elsevier, vol. 81(C), pages 350-359.
    16. Elmira Jamei & Melissa Chan & Hing Wah Chau & Eric Gaisie & Katrin Lättman, 2022. "Perceived Accessibility and Key Influencing Factors in Transportation," Sustainability, MDPI, vol. 14(17), pages 1-22, August.
    17. Potoglou, Dimitris & Kanaroglou, Pavlos S., 2008. "Modelling car ownership in urban areas: a case study of Hamilton, Canada," Journal of Transport Geography, Elsevier, vol. 16(1), pages 42-54.
    18. Yao, Mingzhu & Wang, Donggen & Yang, Hai, 2017. "A game-theoretic model of car ownership and household time allocation," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 667-685.
    19. Sabreena Anowar & Naveen Eluru & Luis F. Miranda-Moreno, 2016. "Analysis of vehicle ownership evolution in Montreal, Canada using pseudo panel analysis," Transportation, Springer, vol. 43(3), pages 531-548, May.

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