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Results of an Agent-Based Market Simulation for Transferable Development Rights (TDR) in Switzerland

Author

Listed:
  • Gianluca Menghini

    (Research Unit Economics and Social Sciences, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, 8903 Birmensdorf, Switzerland)

  • Fabian Gemperle

    (Institute of Terrestrial Ecosystems, Swiss Federal Institute of Technology Zurich, Universitätsstrasse 22, 8092 Zurich, Switzerland)

  • Irmi Seidl

    (Research Unit Economics and Social Sciences, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, 8903 Birmensdorf, Switzerland)

  • Kay W Axhausen

    (Institute for Transport Planning and Systems IVT, Swiss Federal Institute of Technology Zurich, Wolfgang-Pauli-Strasse 15, 8093 Zurich, Switzerland)

Abstract

Transferable development rights (TDR) are discussed or applied in various countries for a wide variety of purposes: Notably to increase building densities, preserve natural areas, compensate reduced development possibilities, and control land use in rural areas. In Switzerland, TDR, a market-oriented planning instrument, might be used to reduce the land-use problems related to the unsustainable development of the settlement areas and to manage problems with the spatially imbalanced supply and demand of existing undeveloped building zones. Our aim is to briefly introduce a TDR market concept for Switzerland, present an empirically calibrated agent-based TDR market simulation, and finally analyze the detailed simulation results. We ran the simulation with four different settings which allowed an analysis of relevant political and economic questions for Switzerland. The results show that the TDR prices were comparable with existing land prices in Switzerland. In addition, we are able to show that with the trade of TDR it would be possible to downzone 11.4 km 2 of building zone land for which there is no demand and to develop 7.4 km 2 of new building zone land up to the year 2018. Consequently, the defined building zone area would decrease, which would be in line with political objectives.

Suggested Citation

  • Gianluca Menghini & Fabian Gemperle & Irmi Seidl & Kay W Axhausen, 2015. "Results of an Agent-Based Market Simulation for Transferable Development Rights (TDR) in Switzerland," Environment and Planning B, , vol. 42(1), pages 157-183, February.
    • Handle: RePEc:sae:envirb:v:42:y:2015:i:1:p:157-183
    DOI: 10.1068/b120066p
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    References listed on IDEAS

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    1. Tatiana Filatova & Dawn C. Parker & Anne van der Veen, 2009. "Agent-Based Urban Land Markets: Agent's Pricing Behavior, Land Prices and Urban Land Use Change," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-3.
    2. Brenner, Thomas, 2006. "Agent Learning Representation: Advice on Modelling Economic Learning," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 18, pages 895-947, Elsevier.
    3. Happe, Kathrin & Kellermann, Konrad & Balmann, Alfons, 2006. "Agent-based analysis of agricultural policies: An illustration of the agricultural policy simulator AgriPoliS, its adaptation and behavior," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 11(1).
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    Cited by:

    1. Till Proeger & Lukas Meub & Kilian Bizer, 2018. "Laboratory Experiments of Tradable Development Rights: A Synthesis of Different Treatments," Sustainability, MDPI, vol. 10(6), pages 1-19, June.

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