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The network paradigm as a modeling tool in regional economy: the case of interregional commuting in Greece

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  • Dimitrios Tsiotas
  • Labros Sdrolias
  • Dimitrios Belias

Abstract

Network Science is an emerging discipline using the network paradigm to model communication systems as pair-sets of interconnected nodes and their linkages (edges). This paper applies this paradigm to study an interacting system in regional economy consisting of daily road transportation flows for labor purposes, the so-called commuting phenomenon. In particular, the commuting system in Greece including 39 non-insular prefectures is modeled into a complex network and it is studied using measures and methods of complex network analysis and empirical techniques. The study aims to detect the structural characteristics of the Greek interregional commuting network (GCN) and to interpret how this network is related to the regional development. The analysis highlights the effect of the spatial constraints in the structure of the GCN, it provides insights about the major road transport projects constructed the last decade, and it outlines a populationcontrolled (gravity) pattern of commuting, illustrating that high-populated regions attract larger volumes of the commuting activity, which consequently affects their productivity. Overall, this paper highlights the effectiveness of complex network analysis in the modeling of systems of regional economy, such as the systems of spatial interaction and the transportation networks, and it promotes the use of the network paradigm to the regional research.

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  • Dimitrios Tsiotas & Labros Sdrolias & Dimitrios Belias, 2020. "The network paradigm as a modeling tool in regional economy: the case of interregional commuting in Greece," Papers 2001.09664, arXiv.org.
    • Handle: RePEc:arx:papers:2001.09664
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    References listed on IDEAS

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    1. Dimitrios Tsiotas & Serafeim Polyzos, 2015. "Analyzing the Maritime Transportation System in Greece: a Complex Network Approach," Networks and Spatial Economics, Springer, vol. 15(4), pages 981-1010, December.
    2. Ozbay, Kaan & Bartin, Bekir & Yanmaz-Tuzel, Ozlem & Berechman, Joseph, 2007. "Alternative methods for estimating full marginal costs of highway transportation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(8), pages 768-786, October.
    3. Van Ommeren, Jos & Rietveld, Piet, 2005. "The commuting time paradox," Journal of Urban Economics, Elsevier, vol. 58(3), pages 437-454, November.
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    6. Van Ommeren, Jos & Fosgerau, Mogens, 2009. "Workers' marginal costs of commuting," Journal of Urban Economics, Elsevier, vol. 65(1), pages 38-47, January.
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