UCL  IRIS
Institutional Research Information Service
UCL Logo
Please report any queries concerning the funding data grouped in the sections named "Externally Awarded" or "Internally Disbursed" (shown on the profile page) to your Research Finance Administrator. Your can find your Research Finance Administrator at http://www.ucl.ac.uk/finance/research/post_award/post_award_contacts.php by entering your department
Please report any queries concerning the student data shown on the profile page to:

Email: portico-services@ucl.ac.uk

Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
Publication Detail
A discrete choice and configurational analysis of burglary offence location choices
  • Publication Type:
    Thesis/Dissertation
  • Authors:
    Frith M
  • Date awarded:
    15/04/2019
  • Supervisors:
    Johnson S,Fry H
  • Awarding institution:
    UCL (University College London)
  • Language:
    English
  • Keywords:
    Burglary, Crime, Discrete choice, Configurational, Graph theory, Space syntax, Conditional logit, Mixed logit, Latent class, Offence location choice
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).
Publication data is maintained in RPS. Visit https://rps.ucl.ac.uk
 More search options
UCL Researchers
Author
Dept of Security and Crime Science
Editor
Centre for Advanced Spatial Analysis
Editor
Dept of Security and Crime Science
University College London - Gower Street - London - WC1E 6BT Tel:+44 (0)20 7679 2000

© UCL 1999–2011

Search by