IDEAS home Printed from https://ideas.repec.org/a/eee/jotrge/v113y2023ics0966692323002041.html
   My bibliography  Save this article

Distance deterrence comparison in urban commute among different socioeconomic groups: A normalized linear piece-wise gravity model

Author

Listed:
  • He, Mingyi
  • Bogomolov, Yuri
  • Khulbe, Devashish
  • Sobolevsky, Stanislav

Abstract

Understanding commuting behavior among socioeconomic groups is essential in promoting equity across the housing and transportation system. This field is well-studied, but existing research failed to reach a complete agreement on the relationship between socioeconomic groups and commuting distance. Our study establishes a framework to model distance deterrence impacts on various socio-economic groups of commuters by adapting a commonly used gravity model approach. We apply this framework to explore commuting distance on income groups in 12 major U.S cities, delineate how the deterrence impact increases with distance, and demonstrate a significant discrepancy in it between the low- and high-income groups. Results indicate that high-income commuters are less sensitive to increasing distance. And this inequity is more severe in cities that have higher population density and more clustered job locations. Our findings provide insights for equity analysis in public transit infrastructures and land use.

Suggested Citation

  • He, Mingyi & Bogomolov, Yuri & Khulbe, Devashish & Sobolevsky, Stanislav, 2023. "Distance deterrence comparison in urban commute among different socioeconomic groups: A normalized linear piece-wise gravity model," Journal of Transport Geography, Elsevier, vol. 113(C).
  • Handle: RePEc:eee:jotrge:v:113:y:2023:i:c:s0966692323002041
    DOI: 10.1016/j.jtrangeo.2023.103732
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0966692323002041
    Download Restriction: no

    File URL: https://libkey.io/10.1016/j.jtrangeo.2023.103732?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Fouquet, Roger, 2012. "Trends in income and price elasticities of transport demand (1850–2010)," Energy Policy, Elsevier, vol. 50(C), pages 62-71.
    2. Thomas, T. & Tutert, S.I.A., 2013. "An empirical model for trip distribution of commuters in The Netherlands: transferability in time and space reconsidered," Journal of Transport Geography, Elsevier, vol. 26(C), pages 158-165.
    3. Valerie Preston & Sara McLafferty, 2016. "Revisiting Gender, Race, and Commuting in New York," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 106(2), pages 300-310, March.
    4. William Alonso, 1964. "The Historic and the Structural Theories of Urban Form: Their Implications for Urban Renewal," Land Economics, University of Wisconsin Press, vol. 40(2), pages 227-231.
    5. S. C. Fang & H.-S. J. Tsao, 1995. "Linearly-Constrained Entropy Maximization Problem with Quadratic Cost and Its Applications to Transportation Planning Problems," Transportation Science, INFORMS, vol. 29(4), pages 353-365, November.
    6. Cabrera Delgado, Jorge & Bonnel, Patrick, 2016. "Level of aggregation of zoning and temporal transferability of the gravity distribution model: The case of Lyon," Journal of Transport Geography, Elsevier, vol. 51(C), pages 17-26.
    7. Chaitanya Paleti & Xiaozheng He & Srinivas Peeta, 2016. "Design of income-equitable toll prices for high occupancy toll lanes in a single toll facility," Transportation Planning and Technology, Taylor & Francis Journals, vol. 39(4), pages 389-406, June.
    8. Ranjan, Priya & Tobias, Justin, 2007. "Bayesian Inference in the Gravity Model," Staff General Research Papers Archive 12721, Iowa State University, Department of Economics.
    9. Cervero, Robert & Chapple, Karen & Landis, John & Wachs, Martin & Duncan, Michael & Scholl, Patricia Lynn & Blumenberg, Evelyn, 2006. "MAKING DO: How Working Families in Seven U.S. Metropolitan Areas Trade Off Housing Costs and Commuting Times," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt9wf8x6p5, Institute of Transportation Studies, UC Berkeley.
    10. Islam, Md Rabiul & Saphores, Jean-Daniel M., 2022. "An L.A. story: The impact of housing costs on commuting," Journal of Transport Geography, Elsevier, vol. 98(C).
    11. Brownstone, David & Golob, Thomas F., 2009. "The impact of residential density on vehicle usage and energy consumption," Journal of Urban Economics, Elsevier, vol. 65(1), pages 91-98, January.
    12. Ding, Lei & Hwang, Jackelyn & Divringi, Eileen, 2016. "Gentrification and residential mobility in Philadelphia," Regional Science and Urban Economics, Elsevier, vol. 61(C), pages 38-51.
    13. Reid Ewing & Robert Cervero, 2017. "“Does Compact Development Make People Drive Less?” The Answer Is Yes," Journal of the American Planning Association, Taylor & Francis Journals, vol. 83(1), pages 19-25, January.
    14. de Grange, Louis & Fernández, Enrique & de Cea, Joaquín, 2010. "A consolidated model of trip distribution," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(1), pages 61-75, January.
    15. Koskinen, Johan & Caimo, Alberto & Lomi, Alessandro, 2015. "Simultaneous modeling of initial conditions and time heterogeneity in dynamic networks: An application to Foreign Direct Investments," Network Science, Cambridge University Press, vol. 3(1), pages 58-77, March.
    16. Priya Ranjan & Justin L. Tobias, 2007. "Bayesian inference for the gravity model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(4), pages 817-838.
    17. Raphael W. Bostic & Richard W. Martin, 2003. "Black Home-owners as a Gentrifying Force? Neighbourhood Dynamics in the Context of Minority Home-ownership," Urban Studies, Urban Studies Journal Limited, vol. 40(12), pages 2427-2449, November.
    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. Gregory Corcos & Delphine M. Irac & Giordano Mion & Thierry Verdier, 2013. "The Determinants of Intrafirm Trade: Evidence from French Firms," The Review of Economics and Statistics, MIT Press, vol. 95(3), pages 825-838, July.
    2. Ding, Chuan & Cao, Xinyu (Jason) & Næss, Petter, 2018. "Applying gradient boosting decision trees to examine non-linear effects of the built environment on driving distance in Oslo," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 107-117.
    3. Hu, Yushan & Zhang, Penglong, 2021. "Semiparametric estimation of varying trade elasticities in gravity," Economics Letters, Elsevier, vol. 209(C).
    4. Chengyan Yue & John C. Beghin, 2017. "Tariff Equivalent And Forgone Trade Effects Of Prohibitive Technical Barriers To Trade," World Scientific Book Chapters, in: John Christopher Beghin (ed.), Nontariff Measures and International Trade, chapter 8, pages 139-150, World Scientific Publishing Co. Pte. Ltd..
    5. Oxana Babecká Kucharčuková & Jan Babecký & Martin Raiser, 2012. "Gravity Approach for Modelling International Trade in South-Eastern Europe and the Commonwealth of Independent States: The Role of Geography, Policy and Institutions," Open Economies Review, Springer, vol. 23(2), pages 277-301, April.
    6. Blanco, Hilda & Wikstrom, Alexander, 2018. "Transit-Oriented Development Opportunities Among Failing Malls," Institute of Transportation Studies, Working Paper Series qt3h62q04h, Institute of Transportation Studies, UC Davis.
    7. Zawadi Rucks-Ahidiana, 2021. "Racial composition and trajectories of gentrification in the United States," Urban Studies, Urban Studies Journal Limited, vol. 58(13), pages 2721-2741, October.
    8. Kristian Behrens & Brahim Boualam & Julien Martin & Florian Mayneris, 2024. "Gentrification and Pioneer Businesses," The Review of Economics and Statistics, MIT Press, vol. 106(1), pages 119-132, January.
    9. Ronaldo Carpio & Meixin Guo, 2021. "Bayesian estimation of the Eurozone currency union effect," Review of International Economics, Wiley Blackwell, vol. 29(3), pages 511-532, August.
    10. Atuesta, Laura H. & Hewings, Geoffrey J.D., 2019. "Housing appreciation patterns in low-income neighborhoods: Exploring gentrification in Chicago," Journal of Housing Economics, Elsevier, vol. 44(C), pages 35-47.
    11. Eaton, Derek J.F., 2009. "Trade and Intellectual Property Rights in the Agricultural Seed Sector," 2009 Conference, August 16-22, 2009, Beijing, China 51782, International Association of Agricultural Economists.
    12. James P. LeSage & Christine Thomas-Agnan, 2015. "Interpreting Spatial Econometric Origin-Destination Flow Models," Journal of Regional Science, Wiley Blackwell, vol. 55(2), pages 188-208, March.
    13. Bo Xiong & Sixia Chen, 2014. "Estimating gravity equation models in the presence of sample selection and heteroscedasticity," Applied Economics, Taylor & Francis Journals, vol. 46(24), pages 2993-3003, August.
    14. Elisa Panzera & Thomas de Graaff & Henri L.F. de Groot, 2021. "European cultural heritage and tourism flows: The magnetic role of superstar World Heritage Sites," Papers in Regional Science, Wiley Blackwell, vol. 100(1), pages 101-122, February.
    15. Oshan, Taylor M., 2020. "Potential and pitfalls of big transport data for spatial interaction models of urban mobility," OSF Preprints gwumt, Center for Open Science.
    16. Manfred M. Fischer & James P. LeSage, 2020. "Network dependence in multi-indexed data on international trade flows," Journal of Spatial Econometrics, Springer, vol. 1(1), pages 1-26, December.
    17. Wilfried Koch & James P. LeSage, 2015. "Latent Multilateral Trade Resistance Indices: Theory and Evidence," Scottish Journal of Political Economy, Scottish Economic Society, vol. 62(3), pages 264-290, July.
    18. Daniel J. Henderson & Daniel L. Millimet, 2008. "Is gravity linear?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(2), pages 137-172.
    19. Egger, Peter H. & Ehrlich, Maximilian v. & Nelson, Douglas R., 2020. "The trade effects of skilled versus unskilled migration," Journal of Comparative Economics, Elsevier, vol. 48(2), pages 448-464.
    20. Seung Kyum Kim & Longfeng Wu, 2022. "Do the characteristics of new green space contribute to gentrification?," Urban Studies, Urban Studies Journal Limited, vol. 59(2), pages 360-380, February.

    More about this item

    Keywords

    Commuting; Income; Gravity model;
    All these keywords.

    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:eee:jotrge:v:113:y:2023:i:c:s0966692323002041. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-transport-geography .

    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.