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An assessment tool for land reuse with artificial intelligence method

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Abstract

This paper focuses on land resource consumption due to urban sprawl. Special attention is given to shrinking regions, characterized by economic decline, demographic change, and high unemployment rates. In these regions, vast terrain is abandoned and falls derelict. A geographic information system (GIS) based multi-criteria decision tool is introduced to determine the reuse potential of derelict terrain, to investigate the possible reuse options (housing, business and trade, industry, services, tourism and leisure, and re-greening), and to visualize the best reuse options for groups of sites on a regional scale. Achievement functions for attribute data are presented to assess the best reuse options based on a multi-attribute technique. The assessment tool developed is applied to a model region in Germany. The application of the assessment tool enables communities to become aware of their resources of derelict land and their reuse potential.

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Author information

Authors and Affiliations

  1. Institute of Architecture and Planning, University of Liechtenstein, Fürst-Franz-Josefstrasse, Vaduz, LI 9490, Liechtenstein

    Dieter D. Genske

  2. Institute for Environmental Decisions, ETH Zurich, Universitaetstrasse 22, Zurich CH, 8092, Switzerland

    Dongbin Huang

  3. Fachhochschule Nordhausen, Weinberghof 4, Nordhausen, D-99734, Germany

    Ariane Ruff

Authors
  1. Dieter D. Genske
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  2. Dongbin Huang
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  3. Ariane Ruff
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Corresponding author

Correspondence to Dieter D. Genske.

Additional information

This work was supported by the German Federal Ministry of Education and Research (BMBF Berlin), the Federal Office of Building and Regional Planning (BBR Bonn), the State of Thuringia and the State Development Corporation (LEG) Thuringia.

Dieter D. Genske studied civil engineering and geology at Wuppertal University and Technische Hochschule Aachen, Germany, and University of Kansas, USA, and received the master degrees in both disciplines. After he received the Ph.D. degree at Wuppertal University, Germany, he started working on engineering and environmental problems, first as Humboldt Research Fellow in Kyoto, Japan, then as project manager at Deutsche Montan Technologie (DMT), Germany. He taught at a number of universities including the TU Delft, Holand, Holand, the Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland, and ETH Zurich, Switzerland. He was the head of Anthroposphere Dynamics Research Group at the Institute of Environmental Decisions, ETH Zurich, Switzerland. He is currently a professor of Institute of Architecture and Planning, University of Liechtenstein, Liechtenstein.

His research interests include sustainable development and land management.

Dongbin Huang received the Ph.D. degree based on his work on policy analysis and computation method in environmental decisions research from ETH Zurich, Switzerland. He is at present a senior scientist and lecturer at the Anthroposphere Dynamics Research Group at Institute of Environmental Decisions, ETH Zurich, engaging in research and teaching in decision engineering, and environmental studies.

His research interests include environmental decision analysis, collabrative action problems, negotiation analysis, and policy simulations.

Ariane Ruff received the M. Sc. degree in geography at the University of Potsdam, Germany. She has been involved in a number of research projects dealing with land management and land recycling. She is currently a research assistant at Fachhochschule Nordhausen, Germany.

Her research interests include sustainable land management and geographic information system (GIS).

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Genske, D.D., Huang, D. & Ruff, A. An assessment tool for land reuse with artificial intelligence method. Int. J. Autom. Comput. 7, 1–8 (2010). https://doi.org/10.1007/s11633-010-0001-2

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  • DOI: https://doi.org/10.1007/s11633-010-0001-2

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