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Hierarchical Destination Choice and Spatial Interaction Modelling: A Simulation Experiment

Author

Listed:
  • A Stewart Fotheringham

    (Spatial Analysis Research Group, Department of Geography, University of Newcastle, Newcastle upon Tyne NE1 7RU, England)

  • Tomoki Nakaya
  • Keiji Yano
  • Stan Openshaw

    (Centre for Computational Geography, School of Geography, University of Leeds, Leeds LS2 9JT, England)

  • Yoshitaka Ishikawa

    (Department of Geography, Kyoto University, Kyoto, Japan)

Abstract

A simulation experiment is proposed and undertaken to extend our understanding of the role of the competing destinations spatial interaction model in capturing the effects of hierarchical destination choice. In doing so, we make explicit the linkage between spatial choice behaviour at different levels of a spatial hierarchy. We also make explicit the way in which decisions made at one level of the hierarchy can lead to biased measurements of behaviour at a lower one. This is shown when conventional spatial interaction models are calibrated with interaction data that result from hierarchical destination choice.

Suggested Citation

  • A Stewart Fotheringham & Tomoki Nakaya & Keiji Yano & Stan Openshaw & Yoshitaka Ishikawa, 2001. "Hierarchical Destination Choice and Spatial Interaction Modelling: A Simulation Experiment," Environment and Planning A, , vol. 33(5), pages 901-920, May.
  • Handle: RePEc:sae:envira:v:33:y:2001:i:5:p:901-920
    DOI: 10.1068/a33136
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    Cited by:

    1. Cattaneo, Mattia & Malighetti, Paolo & Paleari, Stefano & Redondi, Renato, 2016. "The role of the air transport service in interregional long-distance students’ mobility in Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 93(C), pages 66-82.
    2. Carla Sá & Raymond Florax & Piet Rietveld, 2007. "Living-arrangement and university decisions of Dutch young adults," NIPE Working Papers 14/2007, NIPE - Universidade do Minho.
    3. Oshan, Taylor M., 2020. "The spatial structure debate in spatial interaction modeling: 50 years on," OSF Preprints 42vxn, Center for Open Science.
    4. Jan Ubøe & Jens Petter Gitlesen & Inge Thorsen, 2008. "Laboratory Testing of Spurious Spatial Structure in Trip Distribution Models," Spatial Economic Analysis, Taylor & Francis Journals, vol. 3(3), pages 361-372.
    5. Vitanov, Nikolay K. & Vitanov, Kaloyan N., 2016. "Box model of migration channels," Mathematical Social Sciences, Elsevier, vol. 80(C), pages 108-114.
    6. Karyn Morrissey & Cathal O’Donoghue & Graham Clarke, 2009. "Examining Access to Acute & Community Care Psychiatric Services for Depression Suffers in Ireland," Working Papers 0908, Rural Economy and Development Programme,Teagasc.
    7. Koji Murayama & Jun Nagayasu & Lamia Bazzaoui, 2022. "Spatial Dependence, Social Networks, and Economic Structures in Japanese Regional Labor Migration," Sustainability, MDPI, vol. 14(3), pages 1-31, February.
    8. Mattia Cattaneo & Paolo Malighetti & Michele Meoli & Stefano Paleari, 2017. "University spatial competition for students: the Italian case," Regional Studies, Taylor & Francis Journals, vol. 51(5), pages 750-764, May.
    9. Mattia Cattaneo & Paolo Malighetti & Stefano Paleari & Renato Redondi, 2015. "Evolution of long distance students? mobility: the role of transport infrastructures in Italy," ERSA conference papers ersa15p1231, European Regional Science Association.
    10. John Stillwell, 2005. "Inter-regional migration modelling - a review and assessment," ERSA conference papers ersa05p770, European Regional Science Association.

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