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Graph Regionalization with Clustering and Partitioning: an Application for Daily Commuting Flows in Albania

Author

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  • BENASSI, FEDERICO
  • DEVA, MIRELA
  • ZINDATO, DONATELLA

Abstract

The paper presents an original application of the recently proposed spatial data mining method named GraphRECAP on daily commuting flows using 2011 Albanian census data. Its aim is to identify several clusters of Albanian municipalities/communes; propose a classification of the Albanian territory based on daily commuting flows among municipalities/communes. Starting from 373 local units, we first applied a spatial clustering technique without imposing any constraining strategy. Based on the input variables, we obtained 16 clusters. In the second step of our analysis, we impose a set of constraining parameters to identify intermediate areas between the local level (municipality/commune) and the national one. We have defined 12 derived regions (same number as the actual Albanian prefectures but with different geographies). These derived regions are quite different from the traditional ones in terms of both geographical dimensions and boundaries.

Suggested Citation

  • Benassi, Federico & Deva, Mirela & Zindato, Donatella, 2015. "Graph Regionalization with Clustering and Partitioning: an Application for Daily Commuting Flows in Albania," MPRA Paper 73946, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:73946
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    References listed on IDEAS

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    1. Tim Schwanen & Frans M. Dieleman & Martin Dijst, 2004. "The Impact of Metropolitan Structure on Commute Behavior in the Netherlands: A Multilevel Approach," Growth and Change, Wiley Blackwell, vol. 35(3), pages 304-333, September.
    2. Kent Eliasson & Urban Lindgren & Olle Westerlund, 2003. "Geographical Labour Mobility: Migration or Commuting?," Regional Studies, Taylor & Francis Journals, vol. 37(8), pages 827-837.
    3. S Openshaw & L Rao, 1995. "Algorithms for Reengineering 1991 Census Geography," Environment and Planning A, , vol. 27(3), pages 425-446, March.
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    Cited by:

    1. Drobne Samo & Garre Alberto & Hontoria Eloy & Konjar Miha, 2020. "Comparison of Two Network-Theory-Based Methods for detecting Functional Regions," Business Systems Research, Sciendo, vol. 11(2), pages 21-35, October.
    2. Pálóczi, Gábor & Pénzes, János & Hurbánek, Pavol & Halás, Marián & Klapka, Pavel, 2016. "Attempts to delineate functional regions in Hungary based on commuting data," MPRA Paper 74497, University Library of Munich, Germany.
    3. Benassi, Federico & Boeri, Marco & Elezi, Pranvera & Zindato, Donatella, 2016. "The importance of spatial adjustment processes in the labour force: the case of Albania," MPRA Paper 74500, University Library of Munich, Germany.

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    More about this item

    Keywords

    GraphRECAP; regionalization; daily commuting flows; census data; Albania; territorial imbalances;
    All these keywords.

    JEL classification:

    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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