Combining tacit knowledge elicitation with the SilverKnETs tool and random forests: (Record no. 14521)

MARC details
000 -LEADER
fixed length control field 01878nab a2200253 4500
005 - DATE & TIME
control field 20230906201838.0
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100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Scheuer, Sebastian
245 ## - TITLE STATEMENT
Title Combining tacit knowledge elicitation with the SilverKnETs tool and random forests:
Sub Title the example of residential housing choices in Leipzig/
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Sage,
Date of publication, distribution, etc 2020.
300 ## - PHYSICAL DESCRIPTION
Pages Vol. 47, Issue 3, 2020, ( 400–416 p.)
520 ## - SUMMARY, ETC.
Summary, etc 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.
700 ## - Added Entry Personal Name
Added Entry Personal Name Haase, Dagmar
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Added Entry Personal Name Haase, Annegret
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Added Entry Personal Name Kabisch, Nadja
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Added Entry Personal Name Wolff, Manuel
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Added Entry Personal Name Schwarz, Nina
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Added Entry Personal Name Großmann, Katrin
773 0# - HOST ITEM ENTRY
Host Biblionumber 8876
Host Itemnumber 17104
Place, publisher, and date of publication London Pion Ltd. 2010
Title Environment and planning B: planning and design (Urban Analytics and City Science)
International Standard Serial Number 1472-3417
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1177/2399808318777500
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type E-Journal
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