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Combining tacit knowledge elicitation with the SilverKnETs tool and random forests – The example of residential housing choices in Leipzig

Author

Listed:
  • Sebastian Scheuer

    (Humboldt-Universität zu Berlin, Geography Department, Germany)

  • Dagmar Haase

    (Humboldt-Universität zu Berlin, Geography Department, Germany; Helmholtz Centre for Environmental Research–UFZ, Department of Computational Landscape Ecology, Germany)

  • Annegret Haase

    (Helmholtz Centre for Environmental Research–UFZ, Department of Urban and Environmental Sociology, Germany)

  • Nadja Kabisch

    (Humboldt-Universität zu Berlin, Geography Department, Germany; Helmholtz Centre for Environmental Research–UFZ, Department of Urban and Environmental Sociology, Germany)

  • Manuel Wolff

    (Humboldt-Universität zu Berlin, Geography Department, Germany; Helmholtz Centre for Environmental Research--UFZ, Department of Urban and Environmental Sociology, Germany)

  • Nina Schwarz

    (Helmholtz Centre for Environmental Research–UFZ, Department of Computational Landscape Ecology, Germany)

  • Katrin Großmann

Abstract

Residential choice behaviour is a complex process underpinned by both housing market restrictions and individual preferences, which are partly conscious and partly tacit knowledge. Due to several limitations, common survey methods cannot sufficiently tap into such tacit knowledge. Thus, this paper introduces an advanced knowledge elicitation process called SilverKnETs and combines it with data mining using random forests to elicit and operationalize this type of knowledge. For the application case of the city of Leipzig, Germany, our findings indicate that rent, location and type of housing form the three predictors strongly influencing the decision making in residential choices. Other explanatory variables appear to have a much lower influence. Random forests have proven to be a promising tool for the prediction of residential choices, although the design and scope of the study govern the explanatory power of these models.

Suggested Citation

  • Sebastian Scheuer & Dagmar Haase & Annegret Haase & Nadja Kabisch & Manuel Wolff & Nina Schwarz & Katrin Großmann, 2020. "Combining tacit knowledge elicitation with the SilverKnETs tool and random forests – The example of residential housing choices in Leipzig," Environment and Planning B, , vol. 47(3), pages 400-416, March.
    • Handle: RePEc:sae:envirb:v:47:y:2020:i:3:p:400-416
    DOI: 10.1177/2399808318777500
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    References listed on IDEAS

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