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http://hdl.handle.net/10071/16332
acessibilidade
Title: Classifying residential real estate based on their exposure to crime: a research agenda
Authors: Marques, S. C. R.
Ferreira, F. A. F.
Meidute-Kavaliauskiene, I.
Keywords: Classification of residential areas
Crime exposure
MCDA
Cognitive mapping
MACBETH
Issue Date: 2017
Publisher: VGTU Press
Abstract: Criminality and sense of security in residential areas are always present in the mind of citizens, and directly affect the work of police authorities, real estate agents and society at large. This study proposes the development of a multiple criteria model for the classification of residential areas based on their exposure to crime. By combining cognitive mapping with the Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH), we also aim to increase transparency in the classification process of residential real estate, allowing improvement initiatives to be applied and crime rates to be reduced. The major difference between our proposal and the extant literature is the fact that the information collected from criminal, urbanism and real estate experts, who deal with crime adversities on a daily basis, will be analyzed and discussed during presential group meetings, allowing realism to be incorporated into the evaluation mechanism. The current proposal is a research agenda, and results will not yet be presented.
Peer reviewed: yes
URI: https://ciencia.iscte-iul.pt/id/ci-pub-39551
http://hdl.handle.net/10071/16332
DOI: 10.3846/cbme.2017.020
ISBN: 978-609-476-012-9
ISSN: 2029-7963
Appears in Collections:BRU-CRI - Comunicações a conferências internacionais

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