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Explorations into the Relationship between Spatial Structure and Spatial Interaction

Author

Listed:
  • D A Griffith

    (Department of Geography, State University of New York at Buffalo, Buffalo, New York 14260, USA)

  • K G Jones

    (Department of Applied Geography, Ryerson Polytechnical Institute, Toronto, Ontario M5B 1E8, Canada)

Abstract

This paper explores the relationship between spatial structure and spatial interaction at the intraurban level. To examine this relationship an experimental framework is designed based on the application of a doubly constrained entropy-type gravity model to journey-to-work data for twenty-four Canadian urban areas. The study demonstrates that distance-decay exponents are strongly influenced by geographic structure and the geometry of origins and destinations. As such, both the influence of map pattern and the friction of distance should be explicitly incorporated into spatial interaction models. The paper also explores the impact of city size and the nature of the economic base of the urban area upon distance-decay exponents.

Suggested Citation

  • D A Griffith & K G Jones, 1980. "Explorations into the Relationship between Spatial Structure and Spatial Interaction," Environment and Planning A, , vol. 12(2), pages 187-201, February.
    • Handle: RePEc:sae:envira:v:12:y:1980:i:2:p:187-201
    DOI: 10.1068/a120187
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    References listed on IDEAS

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    1. Kadas, Sandor A. & Klafszky, Emil, 1976. "Estimation of the parameters in the gravity model for trip distribution : A new method and solution algorithm," Regional Science and Urban Economics, Elsevier, vol. 6(4), pages 439-457, December.
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    Citations

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    Cited by:

    1. Marrocu, Emanuela & Paci, Raffaele, 2013. "Different tourists to different destinations. Evidence from spatial interaction models," Tourism Management, Elsevier, vol. 39(C), pages 71-83.
    2. James P. LeSage & R. Kelley Pace, 2008. "Spatial Econometric Modeling Of Origin‐Destination Flows," Journal of Regional Science, Wiley Blackwell, vol. 48(5), pages 941-967, December.
    3. Peter Congdon, 2010. "Random‐effects models for migration attractivity and retentivity: a Bayesian methodology," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(4), pages 755-774, October.
    4. Nancy Lozano-Gracia & Gianfranco Piras & Ana Maria Ibáñez & Geoffrey J. D. Hewings, 2010. "The Journey to Safety: Conflict-Driven Migration Flows in Colombia," International Regional Science Review, , vol. 33(2), pages 157-180, April.
    5. 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.
    6. Paula Margaretic & Christine Thomas-Agnan & Romain Doucet, 2017. "Spatial dependence in (origin-destination) air passenger flows," Papers in Regional Science, Wiley Blackwell, vol. 96(2), pages 357-380, June.
    7. Angulo, A. M. & Mtimet, N. & Dhehibi, B. & Atwi, M. & Ben Youssef , O. & Gil, J. M. & Sai, M. B., 2011. "A revisited gravity equation in trade flow analysis: an application to the case of Tunisian olive oil exports," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 21, pages 225-239.
    8. J. Elhorst & Jan Oosterhaven, 2006. "Forecasting the impact of transport improvements on commuting and residential choice," Journal of Geographical Systems, Springer, vol. 8(1), pages 39-59, March.
    9. Yingxia Pu & Ying Ge, 2016. "Multilateral mechanism analysis of interprovincial migration flows in China," ERSA conference papers ersa16p423, European Regional Science Association.
    10. Moura, Ticiana Grecco Zanon & Garcia-Alonso, Lorena & del Rosal, Ignacio, 2018. "Influence of the geographical pattern of foreign trade on the inland distribution of maritime traffic," Journal of Transport Geography, Elsevier, vol. 72(C), pages 191-200.
    11. Kerkman, Kasper & Martens, Karel & Meurs, Henk, 2017. "A multilevel spatial interaction model of transit flows incorporating spatial and network autocorrelation," Journal of Transport Geography, Elsevier, vol. 60(C), pages 155-166.
    12. S. Balia & Rinaldo Brau & E. Marrocu, 2014. "Free patient mobility is not a free lunch. Lessons from a decentralised NHS," Working Paper CRENoS 201409, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    13. Arauzo-Carod, Josep-Maria & Manjón-Antolín, Miguel & Martínez , Óscar, 2015. "The Relocation of R&D Establishments in France: An Empirical Analysis," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 33, pages 97-119.
    14. repec:rre:publsh:v:37:y:2007:i:1:p:28-38 is not listed on IDEAS
    15. Yingxia Pu & Xinyi Zhao & Guangqing Chi & Jin Zhao & Fanhua Kong, 2019. "A spatial dynamic panel approach to modelling the space-time dynamics of interprovincial migration flows in China," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(31), pages 913-948.
    16. Llano, C. & De la Mata, T. & Díaz-Lanchas, J. & Gallego, N., 2017. "Transport-mode competition in intra-national trade: An empirical investigation for the Spanish case," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 334-355.
    17. Manfred M. Fischer & Daniel A. Griffith, 2008. "Modeling Spatial Autocorrelation In Spatial Interaction Data: An Application To Patent Citation Data In The European Union," Journal of Regional Science, Wiley Blackwell, vol. 48(5), pages 969-989, December.
    18. Kerkman, Kasper & Martens, Karel & Meurs, Henk, 2018. "Predicting travel flows with spatially explicit aggregate models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 68-88.
    19. Moura, Ticiana Grecco Zanon & Chen, Zhangliang & Garcia-Alonso, Lorena, 2019. "Spatial interaction effects on inland distribution of maritime flows," Transportation Research Part A: Policy and Practice, Elsevier, vol. 128(C), pages 1-10.
    20. James LeSage & Carlos Llano-Verduras, 2014. "Forecasting spatially dependent origin and destination commodity flows," Empirical Economics, Springer, vol. 47(4), pages 1543-1562, December.
    21. Sellner, Richard & Fischer, Manfred M. & Koch, Matthias, 2010. "A spatial autoregressive Poisson gravity model," MPRA Paper 77551, University Library of Munich, Germany.
    22. Yang Cheng & Yuxia Lv & Mark Rosenberg & Linke Hou, 2018. "Decision Making of Non-Agricultural Work by Rural Residents in Weifang, China," Sustainability, MDPI, vol. 10(5), pages 1-15, May.

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