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A discrete choice and configurational analysis of burglary offence location choices

Frith, Michael James; (2019) A discrete choice and configurational analysis of burglary offence location choices. Doctoral thesis (Ph.D), UCL (University College London). Green open access

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Abstract

The purpose of this thesis is to explore the applications of configurational methods from the fields of graph theory and space syntax and discrete choice methods from economics to the analysis of crime. In the work that follows, this thesis will argue that, based on current environmental criminology theory, the movement of offenders and ordinary citizens play a vital but under-researched role in the distributions of crime. For offenders, it shapes their awareness and familiarity of the opportunities for crime. For ordinary citizens, it determines the supply of potential bystanders and the quality of ambient guardianship. This thesis will contend that the current methods for empirically describing or estimating both types of movement and the approaches typically used for analysing (their role in) crime patterns are not without significant shortcomings. As such, a series of novel graph theory network measures and a sample of discrete choice methods (the conditional logit, mixed logit and latent class logit models) are explored in relation to these issues. These methods are then jointly employed and empirically tested and compared in a set of original analyses of the burglary location choices in Buckinghamshire (UK).

Type: Thesis (Doctoral)
Qualification: Ph.D
Title: A discrete choice and configurational analysis of burglary offence location choices
Event: UCL (University College London)
Open access status: An open access version is available from UCL Discovery
Language: English
Additional information: Copyright © The Author 2019. Original content in this thesis is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) Licence (https://creativecommons.org/licenses/by-nc/4.0/). Any third-party copyright material present remains the property of its respective owner(s) and is licensed under its existing terms. Access may initially be restricted at the author’s request.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Security and Crime Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Centre for Advanced Spatial Analysis
URI: https://discovery.ucl.ac.uk/id/eprint/10072330
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