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Spatial Planning and Policy Evaluation in an Urban Conurbation: a Regional Agent-Based Economic Model

Author

Listed:
  • Luzius Stricker

    (Università della Svizzera italiana (USI), Institute for Economic Research (IRE))

  • Moreno Baruffini

    (Università della Svizzera italiana (USI) Institute for Economic Research (IRE))

Abstract

This paper studies different functions and relations between 45 agglomerated municipalities in southern Switzerland (Ticino), using a territorial agent-based model. Our research adopts a bottom-up approach to urban systems, considering the agglomeration mechanism and effects of different regional and urban policies, and simulates the individual actions of diverse agents on a real city using an Agent-based model (ABM). Simulating the individual actions of diverse agents on a real city and measuring the resulting system behaviour and outcomes over time, they effectively provide a good test bed for evaluating the impact of different policies. The database is created merging the Swiss official secondary data for one reference year (2011) with Eurostat and OECD-Regpat. The results highlight that the understanding of municipalities’ functions on the territory appears to be essential for designing a solid institutional agglomeration (or city). From a methodological point of view, we contribute to improve the application of territorial ABM. Finally, our results provide a robust base to evaluate in a dynamic way various political interventions, in order to ensure a sustainable development of the agglomeration and the surrounding territories. Applying the analyses and the model on a larger scale, including further regions and conurbations, and including more indicators and variables, to obtain a more detailed and characteristic model, will constitute a further step of the research.

Suggested Citation

  • Luzius Stricker & Moreno Baruffini, 2017. "Spatial Planning and Policy Evaluation in an Urban Conurbation: a Regional Agent-Based Economic Model," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(1), pages 261-275.
  • Handle: RePEc:ura:ecregj:v:1:y:2017:i:1:p:261-275
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    References listed on IDEAS

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    1. Moreno Baruffini, 2013. "An agent-based simulation of the Swiss labour market : an alternative for the labour market policy evaluation," ERSA conference papers ersa13p216, European Regional Science Association.
    2. David A. Lane & Pietro Terna, 2010. "COMPLEXITY AND THE ORGANIZATION OF ECONOMIC LIFE, Introduction," History of Economic Ideas, Fabrizio Serra Editore, Pisa - Roma, vol. 18(2), pages 11-16.
    3. Vogiatzoglou, Klimis, 2006. "Increasing Agglomeration or Dispersion? Industrial Specialization and Geographic Concentration in NAFTA," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 21, pages 379-396.
    4. Dibble, Catherine, 2006. "Computational Laboratories for Spatial Agent-Based Models," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 31, pages 1511-1548, Elsevier.
    5. Theodore Tsekeris & Klimis Vogiatzoglou, 2011. "Spatial agent-based modeling of household and firm location with endogenous transport costs," Netnomics, Springer, vol. 12(2), pages 77-98, July.
    6. Riccardo Boero & Matteo Morini & Michele Sonnessa & Pietro Terna, 2015. "Agent-based Models of the Economy," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-137-33981-2, December.
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    Cited by:

    1. Å árka SobotoviÄ ová & Beata Blechová, 2017. "Disparities Of The Regions Of The Czech Republic In Terms Of Tax Revenues," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 1304-1313.

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    More about this item

    Keywords

    firm localization; urban agglomeration; territorial indicators; spatial planning; municipal economy; urban roles; municipalities’ characteristics; urban policy evaluation; Agent-Based Models; simulation;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns

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