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Integrating people and place: A density-based measure for assessing accessibility to opportunities

Author

Listed:
  • Horner, Mark

    (Florida Stae University)

  • Downs, Joni

    (University of South Florida)

Abstract

Mobile object analysis is a well-studied area of transportation and geographic information science (GIScience). Mobile objects may include people, animals, or vehicles. Time geography remains a key theoretical framework for understanding mobile objects' movement possibilities. Recent efforts have sought to develop probabilistic methods of time geography by exploring questions of data uncertainty, spatial representation, and other limitations of classical approaches. Along these lines, work has blended time geography and kernel density estimation in order to delineate the probable locations of mobile objects in both continuous and discrete network space. This suite of techniques is known as time geographic density estimation (TGDE). The present paper explores a new direction for TGDE, namely the creation of a density-based accessibility measure for assessing mobile objects' potential for interacting with opportunity locations. As accessibility measures have also garnered widespread attention in the literature, the goal here is to understand the magnitude and nature of the opportunities a mobile object had access to, given known location points and a time budget for its movement. New accessibility measures are formulated and demonstrated with synthetic trip diary data. The implications of the new measures are discussed in the context of people-based vs. placed-based accessibility analyses.

Suggested Citation

  • Horner, Mark & Downs, Joni, 2014. "Integrating people and place: A density-based measure for assessing accessibility to opportunities," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(2), pages 1-18.
    • Handle: RePEc:ris:jtralu:0135
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    References listed on IDEAS

    as
    1. Li, Qingquan & Zhang, Tong & Wang, Handong & Zeng, Zhe, 2011. "Dynamic accessibility mapping using floating car data: a network-constrained density estimation approach," Journal of Transport Geography, Elsevier, vol. 19(3), pages 379-393.
    2. Tijs Neutens & Tim Schwanen & Frank Witlox, 2010. "The Prism of Everyday Life: Towards a New Research Agenda for Time Geography," Transport Reviews, Taylor & Francis Journals, vol. 31(1), pages 25-47, April.
    3. Weibull, Jorgen W., 1976. "An axiomatic approach to the measurement of accessibility," Regional Science and Urban Economics, Elsevier, vol. 6(4), pages 357-379, December.
    4. Jonathan Levine & Joe Grengs & Qingyun Shen & Qing Shen, 2012. "Does Accessibility Require Density or Speed?," Journal of the American Planning Association, Taylor & Francis Journals, vol. 78(2), pages 157-172.
    5. Ahmed El-Geneidy & David Levinson, 2007. "Mapping Accessibility Over Time," Working Papers 200709, University of Minnesota: Nexus Research Group.
    6. Scott, Darren M. & Horner, Mark W., 2008. "Examining The Role of Urban Form In Shaping People’s Accessibility to Opportunities: An Exploratory Spatial Data Analysis," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 1(2), pages 89-119.
    7. Scott, Darren M. & He, Sylvia Y., 2012. "Modeling constrained destination choice for shopping: a GIS-based, time-geographic approach," Journal of Transport Geography, Elsevier, vol. 23(C), pages 60-71.
    8. B J Linneker & N A Spence, 1992. "Accessibility Measures Compared in an Analysis of the Impact of the M25 London Orbital Motorway on Britain," Environment and Planning A, , vol. 24(8), pages 1137-1154, August.
    9. Dominik Papinski & Darren M Scott, 2013. "Route Choice Efficiency: An Investigation of Home-To-Work Trips Using GPS Data," Environment and Planning A, , vol. 45(2), pages 263-275, February.
    10. Feng Xie & David Levinson, 2011. "Evaluating the effects of the I-35W bridge collapse on road-users in the twin cities metropolitan region," Transportation Planning and Technology, Taylor & Francis Journals, vol. 34(7), pages 691-703, April.
    11. Páez, Antonio & Scott, Darren M. & Morency, Catherine, 2012. "Measuring accessibility: positive and normative implementations of various accessibility indicators," Journal of Transport Geography, Elsevier, vol. 25(C), pages 141-153.
    12. Kang, Hejun & Scott, Darren M., 2010. "Exploring day-to-day variability in time use for household members," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(8), pages 609-619, October.
    13. S L Handy & D A Niemeier, 1997. "Measuring Accessibility: An Exploration of Issues and Alternatives," Environment and Planning A, , vol. 29(7), pages 1175-1194, July.
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    Cited by:

    1. Sharma, Gajanand & Patil, Gopal R., 2024. "Urban spatial structure and equity for urban services through the lens of accessibility," Transport Policy, Elsevier, vol. 146(C), pages 72-90.
    2. Abouelela, Mohamed & Durán-Rodas, David & Antoniou, Constantinos, 2024. "Do we all need shared E-scooters? An accessibility-centered spatial equity evaluation approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
    3. Liu, Chang & Bardaka, Eleni, 2021. "The suburbanization of poverty and changes in access to public transportation in the Triangle Region, NC," Journal of Transport Geography, Elsevier, vol. 90(C).
    4. Wenbo Zhang & Satish V. Ukkusuri & Jian John Lu, 2017. "Impacts of urban built environment on empty taxi trips using limited geolocation data," Transportation, Springer, vol. 44(6), pages 1445-1473, November.
    5. Scott, Darren & H. Y. Lee, Brian & Miller, Eric, 2014. "Special section: Innovations in location choice modeling underlying activity-travel behavior," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(2), pages 1-2.
    6. Lingqian Hu, 2017. "Job accessibility and employment outcomes: which income groups benefit the most?," Transportation, Springer, vol. 44(6), pages 1421-1443, November.
    7. Wang, Yafei & Chen, Bi Yu & Yuan, Hui & Wang, Donggen & Lam, William H.K. & Li, Qingquan, 2018. "Measuring temporal variation of location-based accessibility using space-time utility perspective," Journal of Transport Geography, Elsevier, vol. 73(C), pages 13-24.
    8. Barboza, Matheus H.C. & Carneiro, Mariana S. & Falavigna, Claudio & Luz, Gregório & Orrico, Romulo, 2021. "Balancing time: Using a new accessibility measure in Rio de Janeiro," Journal of Transport Geography, Elsevier, vol. 90(C).
    9. Kelobonye, Keone & Zhou, Heng & McCarney, Gary & Xia, Jianhong (Cecilia), 2020. "Measuring the accessibility and spatial equity of urban services under competition using the cumulative opportunities measure," Journal of Transport Geography, Elsevier, vol. 85(C).

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    More about this item

    Keywords

    Transportation; Accessibility; Mobile Objects; GIS;
    All these keywords.

    JEL classification:

    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General

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