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Place Rank: Valuing Spatial Interactions

Author

Listed:
  • Ahmed El-Geneidy
  • David Levinson

    (Nexus (Networks, Economics, and Urban Systems) Research Group, Department of Civil Engineering, University of Minnesota)

Abstract

Accessibility measures the potential of opportunities for interaction. This paper proposes and explores a new flow-based measure, 'place rank' using origin-destination information. Both impedance and value of opportunities are embedded in the dataset that includes the origin and destination of each person within the studied region. Individuals contribute to the place rank at their destination (work) zone with a power that depends on the attractiveness of the zone of origin. In this paper we demonstrate this place rank measure for three activities (Jobs, Resident Workers, and Health Services) in the Minneapolis-St. Paul metropolitan region and Jobs in Montreal, Canada. We compare place rank to traditional measures of accessibility. Since place rank is based on actual choices of origins and destinations it is a measure of realized rather than potential opportunities, and so unlike accessibility measures. Also it does not require the knowledge of travel time between all origins and destinations.

Suggested Citation

  • Ahmed El-Geneidy & David Levinson, 2010. "Place Rank: Valuing Spatial Interactions," Working Papers 000026, University of Minnesota: Nexus Research Group.
    • Handle: RePEc:nex:wpaper:placerank
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    File URL: http://hdl.handle.net/11299/180014
    File Function: Second version, 2011
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    References listed on IDEAS

    as
    1. Paul Anderson & David Levinson & Pavithra Parthasarathi, 2011. "Accessibility Futures," Working Papers 000088, University of Minnesota: Nexus Research Group.
    2. Ottensmann, John R. & Lindsey, Greg, 2008. "A Use-Based Measure of Accessibility to Linear Features to Predict Urban Trail Use," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 1(1), pages 41-63.
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    11. A G Wilson, 1971. "A Family of Spatial Interaction Models, and Associated Developments," Environment and Planning A, , vol. 3(1), pages 1-32, March.
    12. Axhausen, Kay, 2008. "Accessibility: Long Term Perspectives," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 1(2), pages 5-22.
    13. Matthews, K.B. & Buchan, K. & Sibbald, A.R. & Craw, S., 2006. "Combining deliberative and computer-based methods for multi-objective land-use planning," Agricultural Systems, Elsevier, vol. 87(1), pages 18-37, January.
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    Cited by:

    1. van Wee, Bert, 2016. "Accessible accessibility research challenges," Journal of Transport Geography, Elsevier, vol. 51(C), pages 9-16.
    2. Allen, Jeff & Farber, Steven, 2019. "A measure of competitive access to destinations for comparing across multiple study regions," SocArXiv 8yf7q, Center for Open Science.
    3. M. Alonso & M. Beamonte & P. Gargallo & M. Salvador, 2014. "Labour and residential accessibility: a Bayesian analysis based on Poisson gravity models with spatial effects," Journal of Geographical Systems, Springer, vol. 16(4), pages 409-439, October.
    4. Beria, Paolo & Debernardi, Andrea & Ferrara, Emanuele, 2017. "Measuring the long-distance accessibility of Italian cities," Journal of Transport Geography, Elsevier, vol. 62(C), pages 66-79.
    5. Hao Wu & David Levinson, 2020. "Unifying Access," Working Papers 2022-01, University of Minnesota: Nexus Research Group.
    6. Mayaud, Jerome & Tran, Martino & Pereira, Rafael Henrique Moreas & Nuttall, Rohan, 2018. "Future access to essential services in a growing smart city: The case of Surrey, British Columbia," SocArXiv pej8u, Center for Open Science.
    7. Wei-Chien-Benny Chin & Tzai-Hung Wen, 2015. "Geographically Modified PageRank Algorithms: Identifying the Spatial Concentration of Human Movement in a Geospatial Network," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-23, October.
    8. Yang, Shu & Liu, Xuan & Wu, Yao-Jan & Woolschlager, John & Coffin, Sarah L., 2015. "Can freeway traffic volume information facilitate urban accessibility assessment?," Journal of Transport Geography, Elsevier, vol. 44(C), pages 65-75.
    9. Stefano Mainardi, 2021. "Preference heterogeneity, neighbourhood effects and basic services: logit kernel models for farmers’ climate adaptation in Ethiopia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(5), pages 6869-6912, May.
    10. Alexander Hellervik & Leonard Nilsson & Claes Andersson, 2019. "Preferential centrality – A new measure unifying urban activity, attraction and accessibility," Environment and Planning B, , vol. 46(7), pages 1331-1346, September.
    11. Marquet, Oriol & Miralles-Guasch, Carme, 2014. "Walking short distances. The socioeconomic drivers for the use of proximity in everyday mobility in Barcelona," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 210-222.
    12. Vega, Amaya, 2012. "Using Place Rank to measure sustainable accessibility," Journal of Transport Geography, Elsevier, vol. 24(C), pages 411-418.
    13. Camila Soares Henrique Fontenele Garcia & Rosário Macário & Ezequiel Dantas de Araújo Girão Menezes & Carlos Felipe Grangeiro Loureiro, 2018. "Strategic Assessment of Lisbon’s Accessibility and Mobility Problems from an Equity Perspective," Networks and Spatial Economics, Springer, vol. 18(2), pages 415-439, June.
    14. Dominik Ziemke & Johan W. Joubert & Kai Nagel, 2018. "Accessibility in a Post-Apartheid City: Comparison of Two Approaches for Accessibility Computations," Networks and Spatial Economics, Springer, vol. 18(2), pages 241-271, June.
    15. Mayaud, Jerome & Anderson, Sam & Tran, Martino & Radic, Valentina, 2018. "Insights from self-organizing maps for predicting accessibility demand for healthcare infrastructure," SocArXiv yngx4, Center for Open Science.

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    More about this item

    Keywords

    Accessibility; Mobility; Gravity Based; Cumulative Opportunity; Land Use; Place Rank;
    All these keywords.

    JEL classification:

    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns

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