IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i19p12352-d927997.html
   My bibliography  Save this article

Beyond Proximity: Utility-Based Access from Location-Based Services Data

Author

Listed:
  • Gregory S. Macfarlane

    (Civil and Construction Engineering Department, Brigham Young University, Provo, UT 84602, USA)

  • Emma Stucki

    (Civil and Construction Engineering Department, Brigham Young University, Provo, UT 84602, USA)

  • Alisha H. Redelfs

    (Public Health Department, Brigham Young University, Provo, UT 84602, USA)

  • Lori Andersen Spruance

    (Public Health Department, Brigham Young University, Provo, UT 84602, USA)

Abstract

Understanding who in a community has access to its resources—parks, libraries, grocery stores, etc.—has profound equity implications, but typical methods to understand access to these resources are limited. Travel time buffers require researchers to assert mode of access as well as an arbitrary distance threshold; further, these methods do not distinguish between destination quality attributes in an effective way. In this research, we present a methodology to develop utility-based accessibility measures for parks, libraries, and grocery stores in Utah County, Utah. The method relies on passive location-based services data to model destination choice to these community resources; the destination choice model utility functions in turn allow us to develop a picture of regional access that is sensitive to: the quality and size of the destination resource; continuous (non-binary) travel impedance by multiple modes; and the sociodemographic attributes of the traveler. We then use this measure to explore equity in access to the specified community resources across income level in Utah County: the results reveal a discrepancy between which neighborhoods might be targeted for intervention using space-based analysis.

Suggested Citation

  • Gregory S. Macfarlane & Emma Stucki & Alisha H. Redelfs & Lori Andersen Spruance, 2022. "Beyond Proximity: Utility-Based Access from Location-Based Services Data," IJERPH, MDPI, vol. 19(19), pages 1-16, September.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:19:p:12352-:d:927997
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/19/12352/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/19/12352/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shima Hamidi, 2020. "Urban sprawl and the emergence of food deserts in the USA," Urban Studies, Urban Studies Journal Limited, vol. 57(8), pages 1660-1675, June.
    2. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    3. Walker, Joan & Ben-Akiva, Moshe, 2002. "Generalized random utility model," Mathematical Social Sciences, Elsevier, vol. 43(3), pages 303-343, July.
    4. Aggarwal, A. & Cook, A.J. & Jiao, J. & Seguin, R.A. & Moudon, A.V. & Hurvitz, P.M. & Drewnowski, A., 2014. "Access to supermarkets and fruit and vegetable consumption," American Journal of Public Health, American Public Health Association, vol. 104(5), pages 917-923.
    5. Jason C. Kinnell & Matthew F. Bingham & Ateesha F. Mohamed & William H. Desvousges & Thomas B. Kiler & Elizabeth K. Hastings & Karen T. Kuhns, 2006. "Estimating Site Choice Decisions for Urban Recreators," Land Economics, University of Wisconsin Press, vol. 82(2), pages 257-272.
    6. Dong, Xiaojing & Ben-Akiva, Moshe E. & Bowman, John L. & Walker, Joan L., 2006. "Moving from trip-based to activity-based measures of accessibility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(2), pages 163-180, February.
    7. Bancroft, Carolyn & Joshi, Spruha & Rundle, Andrew & Hutson, Malo & Chong, Catherine & Weiss, Christopher C. & Genkinger, Jeanine & Neckerman, Kathryn & Lovasi, Gina, 2015. "Association of proximity and density of parks and objectively measured physical activity in the United States: A systematic review," Social Science & Medicine, Elsevier, vol. 138(C), pages 22-30.
    8. Widener, Michael J. & Farber, Steven & Neutens, Tijs & Horner, Mark, 2015. "Spatiotemporal accessibility to supermarkets using public transit: an interaction potential approach in Cincinnati, Ohio," Journal of Transport Geography, Elsevier, vol. 42(C), pages 72-83.
    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. Potoglou, Dimitris & Palacios, Juan & Feijoo, Claudio & Gómez Barroso, Jose-Luis, 2015. "The supply of personal information: A study on the determinants of information provision in e-commerce scenarios," 26th European Regional ITS Conference, Madrid 2015 127174, International Telecommunications Society (ITS).
    2. Ridier, Aude & Roussy, Caroline & Chaib, Karim, 2021. "Adoption of crop diversification by specialized grain farmers in south-western France: evidence from a choice-modelling experiment," Review of Agricultural, Food and Environmental Studies, Institut National de la Recherche Agronomique (INRA), vol. 102(1), April.
    3. Chorus, Caspar & van Cranenburgh, Sander & Daniel, Aemiro Melkamu & Sandorf, Erlend Dancke & Sobhani, Anae & Szép, Teodóra, 2021. "Obfuscation maximization-based decision-making: Theory, methodology and first empirical evidence," Mathematical Social Sciences, Elsevier, vol. 109(C), pages 28-44.
    4. Zgheib, Najib & Abou-Zeid, Maya & Kaysi, Isam, 2020. "Modeling demand for ridesourcing as feeder for high capacity mass transit systems with an application to the planned Beirut BRT," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 70-91.
    5. Wang, Yihong & Correia, Gonçalo Homem de Almeida & de Romph, Erik & Timmermans, H.J.P., 2017. "Using metro smart card data to model location choice of after-work activities: An application to Shanghai," Journal of Transport Geography, Elsevier, vol. 63(C), pages 40-47.
    6. Kim, Seheon & Rasouli, Soora, 2022. "The influence of latent lifestyle on acceptance of Mobility-as-a-Service (MaaS): A hierarchical latent variable and latent class approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 304-319.
    7. Moyano, Amparo & Martínez, Héctor S. & Coronado, José M., 2018. "From network to services: A comparative accessibility analysis of the Spanish high-speed rail system," Transport Policy, Elsevier, vol. 63(C), pages 51-60.
    8. Daziano, Ricardo A., 2015. "Inference on mode preferences, vehicle purchases, and the energy paradox using a Bayesian structural choice model," Transportation Research Part B: Methodological, Elsevier, vol. 76(C), pages 1-26.
    9. John V. Colias & Stella Park & Elizabeth Horn, 2021. "Optimizing B2B product offers with machine learning, mixed logit, and nonlinear programming," Journal of Marketing Analytics, Palgrave Macmillan, vol. 9(3), pages 157-172, September.
    10. Jegnie, Alemken & Hailu, Atakelty & Burton, Michael P., 2017. "Boat-based and other recreational fishing in Western Australia: Analysis of site choice, access values and bag limit effects," Working Papers 257167, University of Western Australia, School of Agricultural and Resource Economics.
    11. María J. Alonso-González & Oded Cats & Niels van Oort & Sascha Hoogendoorn-Lanser & Serge Hoogendoorn, 2021. "What are the determinants of the willingness to share rides in pooled on-demand services?," Transportation, Springer, vol. 48(4), pages 1733-1765, August.
    12. Malte Welling & Ewa Zawojska & Julian Sagebiel, 2022. "Information, Consequentiality and Credibility in Stated Preference Surveys: A Choice Experiment on Climate Adaptation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(1), pages 257-283, May.
    13. Bujosa Bestard, Angel & Font, Antoni Riera, 2009. "Environmental diversity in recreational choice modelling," Ecological Economics, Elsevier, vol. 68(11), pages 2743-2750, September.
    14. Daina, Nicolò & Sivakumar, Aruna & Polak, John W., 2017. "Modelling electric vehicles use: a survey on the methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 447-460.
    15. Krygsman, Stephan & Arentze, Theo & Timmermans, Harry, 2007. "Capturing tour mode and activity choice interdependencies: A co-evolutionary logit modelling approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(10), pages 913-933, December.
    16. Ghader, Sepehr & Carrion, Carlos & Zhang, Lei, 2019. "Autoregressive continuous logit: Formulation and application to time-of-day choice modeling," Transportation Research Part B: Methodological, Elsevier, vol. 123(C), pages 240-257.
    17. repec:ags:aare05:139316 is not listed on IDEAS
    18. María J. Alonso-González & Oded Cats & Niels van Oort & Sascha Hoogendoorn-Lanser & Serge Hoogendoorn, 0. "What are the determinants of the willingness to share rides in pooled on-demand services?," Transportation, Springer, vol. 0, pages 1-33.
    19. Bills, Tierra S. & Walker, Joan L., 2017. "Looking beyond the mean for equity analysis: Examining distributional impacts of transportation improvements," Transport Policy, Elsevier, vol. 54(C), pages 61-69.
    20. Macea, Luis F. & Cantillo, Victor & Arellana, Julian, 2018. "Influence of attitudes and perceptions on deprivation cost functions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 112(C), pages 125-141.
    21. Choi, Andy S., 2011. "Implicit prices for longer temporary exhibitions in a heritage site and a test of preference heterogeneity: A segmentation-based approach," Tourism Management, Elsevier, vol. 32(3), pages 511-519.

    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:gam:jijerp:v:19:y:2022:i:19:p:12352-:d:927997. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.