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Hierarchical Aggregation Procedures for Interaction Data

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  • I Masser
  • P J B Brown

Abstract

Hierarchical aggregation procedures for interaction data are considered in relation to the design of spatial systems for operational versions of interaction models. Two types of application are examined, in general terms and with reference to real situations. These deal with cases such as the delimitation of subsystems for hierarchical models where the objective is to maximise the proportion of intrazonal interaction, and cases such as the definition of internal zoning systems where an objective is to minimise the proportion of intrazonal interaction. The application of the intramax procedure is illustrated with reference to the identification of migration subsystems within Greater London and the definition of labour-market areas within Merseyside, while the application of the intramin procedure is demonstrated with respect to the design of an internal zoning system for a work-trip model of the Wirral subsystem within Merseyside.

Suggested Citation

  • I Masser & P J B Brown, 1975. "Hierarchical Aggregation Procedures for Interaction Data," Environment and Planning A, , vol. 7(5), pages 509-523, August.
    • Handle: RePEc:sae:envira:v:7:y:1975:i:5:p:509-523
    DOI: 10.1068/a070509
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    Cited by:

    1. Papps, Kerry L. & Newell, James O., 2002. "Identifying Functional Labour Market Areas in New Zealand: A Reconnaissance Study Using Travel-to-Work Data," IZA Discussion Papers 443, Institute of Labor Economics (IZA).
    2. Luis Martínez & José Viegas & Elisabete Silva, 2009. "A traffic analysis zone definition: a new methodology and algorithm," Transportation, Springer, vol. 36(5), pages 581-599, September.
    3. Chakraborty, A. & Beamonte, M.A. & Gelfand, A.E. & Alonso, M.P. & Gargallo, P. & Salvador, M., 2013. "Spatial interaction models with individual-level data for explaining labor flows and developing local labor markets," Computational Statistics & Data Analysis, Elsevier, vol. 58(C), pages 292-307.
    4. Aleid Brouwer & Tristan Kohl, 2011. "Development of trade blocs in an era of globalization: Proximity still matters," ERSA conference papers ersa11p122, European Regional Science Association.
    5. Bogataj, David & Bogataj, Marija & Drobne, Samo, 2019. "Interactions between flows of human resources in functional regions and flows of inventories in dynamic processes of global supply chains," International Journal of Production Economics, Elsevier, vol. 209(C), pages 215-225.
    6. Paul Slater, 1981. "Combinatorial procedures for structuring internal migration and other transaction flows," Quality & Quantity: International Journal of Methodology, Springer, vol. 15(2), pages 179-202, April.
    7. Drobne Samo & Bogataj Marija, 2014. "Regions for Servicing Old People: Case study of Slovenia," Business Systems Research, Sciendo, vol. 5(3), pages 19-36, September.
    8. Robert J. Stimson & William Mitchell & David Rohde & Paul Shyy, 2011. "Using functional economic regions to model endogenous regional performance in Australia: implications for addressing the spatial autocorrelation problem," Regional Science Policy & Practice, Wiley Blackwell, vol. 3(3), pages 131-144, August.
    9. Shortt, Niamh K. & Moore, Adrian & Coombes, Mike & Wymer, Colin, 2005. "Defining regions for locality health care planning: a multidimensional approach," Social Science & Medicine, Elsevier, vol. 60(12), pages 2715-2727, June.

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