IDEAS home Printed from https://ideas.repec.org/p/cdl/itsdav/qt1673h3w3.html
   My bibliography  Save this paper

Neighborhoods, Cars, and Commuting in New York City: A Discrete Choice Approach

Author

Listed:
  • Salon, Deborah

Abstract

Cities around the world are trying out a multitude of transportation policy and investment alternatives with the aim of reducing car-induced externalities. However, without a solid understanding of how people make their transportation and residential location choices, it is hard to tell which of these policies and investments are really doing the job and which are wasting precious city resources. The focus of this paper is the determinants of car ownership and car use for commuting. Using survey data from 1997 to 1998 collected in New York City, this paper uses discrete choice econometrics to estimate a model of the choices of car ownership and commute mode while also modeling the related choice of residential location. The main story told by this analysis is that New Yorkers are more sensitive to changes in travel time than they are to changes in travel cost. The model predicts that the most effective ways to reduce both auto ownership and car commuting involve changing the relative travel times for cars and transit, making transit trips faster by increasing both the frequency and the speed of service and making auto trips slower – perhaps simply by allowing traffic congestion. Population density also appears to have a substantial effect on car ownership in New York.

Suggested Citation

  • Salon, Deborah, 2008. "Neighborhoods, Cars, and Commuting in New York City: A Discrete Choice Approach," Institute of Transportation Studies, Working Paper Series qt1673h3w3, Institute of Transportation Studies, UC Davis.
    • Handle: RePEc:cdl:itsdav:qt1673h3w3
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/1673h3w3.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Javier Asensio, 2002. "Transport Mode Choice by Commuters to Barcelona's CBD," Urban Studies, Urban Studies Journal Limited, vol. 39(10), pages 1881-1895, September.
    2. Goldberg, Pinelopi Koujianou, 1995. "Product Differentiation and Oligopoly in International Markets: The Case of the U.S. Automobile Industry," Econometrica, Econometric Society, vol. 63(4), pages 891-951, July.
    3. Hensher, David A. & Ton, Tu T., 2000. "A comparison of the predictive potential of artificial neural networks and nested logit models for commuter mode choice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 36(3), pages 155-172, September.
    4. Fred Mannering & Clifford Winston, 1985. "A Dynamic Empirical Analysis of Household Vehicle Ownership and Utilization," RAND Journal of Economics, The RAND Corporation, vol. 16(2), pages 215-236, Summer.
    5. Bhat, Chandra R. & Pulugurta, Vamsi, 1998. "A comparison of two alternative behavioral choice mechanisms for household auto ownership decisions," Transportation Research Part B: Methodological, Elsevier, vol. 32(1), pages 61-75, January.
    6. Ingram, Gregory K. & Zhi Liu, 1997. "Motorization and the provision of roads in countries and cities," Policy Research Working Paper Series 1842, The World Bank.
    7. Manski, Charles F & Lerman, Steven R, 1977. "The Estimation of Choice Probabilities from Choice Based Samples," Econometrica, Econometric Society, vol. 45(8), pages 1977-1988, November.
    8. Ingram, Gregory K. & Zhi Liu, 1999. "Determinants of motorization and road provision," Policy Research Working Paper Series 2042, The World Bank.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shaheen, Susan & Kemmerer, Charlene, 2008. "Smart Parking Linked to Transit: Lessons Learned from the Field Test in San Francisco Bay Area of California," Institute of Transportation Studies, Working Paper Series qt2bd6m65k, Institute of Transportation Studies, UC Davis.
    2. Salon, Deborah, 2009. "Neighborhoods, cars, and commuting in New York City: A discrete choice approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(2), pages 180-196, February.
    3. Salon, Deborah, 2006. "Cars and the City: An Investigation of Transportation and Residential Location Choices in New York City," University of California Transportation Center, Working Papers qt1br223vz, University of California Transportation Center.
    4. Richard Grimal, 2017. "Modeling Auto-Mobility: Combining Cohort Analysis with Panel Data Econometrics," Post-Print hal-02162281, HAL.
    5. Steven Berry & James Levinsohn & Ariel Pakes, 2004. "Differentiated Products Demand Systems from a Combination of Micro and Macro Data: The New Car Market," Journal of Political Economy, University of Chicago Press, vol. 112(1), pages 68-105, February.
    6. Lawrence Goulder, 2007. "Distributional and Efficiency Impacts of Increased U.S. Gasoline Taxes," Discussion Papers 07-009, Stanford Institute for Economic Policy Research.
    7. Pereira, Pedro & Ribeiro, Tiago & Vareda, João, 2013. "Delineating markets for bundles with consumer level data: The case of triple-play," International Journal of Industrial Organization, Elsevier, vol. 31(6), pages 760-773.
    8. Beser Hugosson, Muriel & Algers, Staffan & Habibi, Shiva & Sundbergh, Pia, 2014. "The Swedish car fleet model: evaluation of recent applications," Working papers in Transport Economics 2014:18, CTS - Centre for Transport Studies Stockholm (KTH and VTI), revised 10 Nov 2014.
    9. Choo, Sangho & Mokhtarian, Patricia L., 2004. "What type of vehicle do people drive? The role of attitude and lifestyle in influencing vehicle type choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(3), pages 201-222, March.
    10. Commins, Nicola & Nolan, Anne, 2011. "The determinants of mode of transport to work in the Greater Dublin Area," Transport Policy, Elsevier, vol. 18(1), pages 259-268, January.
    11. Antonio M. Bento & Lawrence H. Goulder & Emeric Henry & Mark R. Jacobsen & Roger H. von Haefen, 2005. "Distributional and Efficiency Impacts of Gasoline Taxes: An Econometrically Based Multi-market Study," American Economic Review, American Economic Association, vol. 95(2), pages 282-287, May.
    12. Bhat, Chandra R. & Sen, Sudeshna & Eluru, Naveen, 2009. "The impact of demographics, built environment attributes, vehicle characteristics, and gasoline prices on household vehicle holdings and use," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 1-18, January.
    13. Genevieve Giuliano & Dhiraj Narayan, 2003. "Another Look at Travel Patterns and Urban Form: The US and Great Britain," Urban Studies, Urban Studies Journal Limited, vol. 40(11), pages 2295-2312, October.
    14. repec:hal:spmain:info:hdl:2441/10084 is not listed on IDEAS
    15. Taha Rashidi & Abolfazl Mohammadian & Frank Koppelman, 2011. "Modeling interdependencies between vehicle transaction, residential relocation and job change," Transportation, Springer, vol. 38(6), pages 909-932, November.
    16. Antonio M. Bento & Lawrence H. Goulder & Mark R. Jacobsen & Roger H. von Haefen, 2009. "Distributional and Efficiency Impacts of Increased US Gasoline Taxes," American Economic Review, American Economic Association, vol. 99(3), pages 667-699, June.
    17. John Eakins, 2013. "The Determinants of Household Car Ownership: Empirical Evidence from the Irish Household Budget Survey," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 144, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
    18. Yang, Zhenshan & Jia, Peng & Liu, Weidong & Yin, Hongchun, 2017. "Car ownership and urban development in Chinese cities: A panel data analysis," Journal of Transport Geography, Elsevier, vol. 58(C), pages 127-134.
    19. Matas, Anna & Raymond, José-Luis & Roig, José-Luis, 2009. "Car ownership and access to jobs in Spain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(6), pages 607-617, July.
    20. Guerra, Erick, 2015. "The geography of car ownership in Mexico City: a joint model of households’ residential location and car ownership decisions," Journal of Transport Geography, Elsevier, vol. 43(C), pages 171-180.
    21. Liu, Yangwen & Tremblay, Jean-Michel & Cirillo, Cinzia, 2014. "An integrated model for discrete and continuous decisions with application to vehicle ownership, type and usage choices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 315-328.

    More about this item

    Keywords

    UCD-ITS-RP-08-40; Engineering;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cdl:itsdav:qt1673h3w3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/itucdus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.