Laufs, Julian;
(2022)
Crime Prevention and Detection Technologies in Smart Cities: Opportunities and Challenges.
Doctoral thesis (Ph.D), UCL (University College London).
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Abstract
Over the past decades, rapid urbanisation has led many cities around the globe to experience new challenges ranging from increased waste and traffic to crime and insecurity. So-called ‘smart cities’ offer a solution to these problems, aiming to make city services more efficient and effective through the deployment and use of information and communication technologies (ICTs). While the impact of this substantial transformation towards the creation of smart cities has been explored from a number of perspectives, the topic is still under-researched with regards to security and crime prevention in cities. This thesis seeks to address this gap. It explores the role smart city infrastructure can play for surveillance and discusses opportunities and challenges this presents for crime prevention and policing. Interdisciplinary in nature, it draws from both urban studies and the field of crime science, aiming to provide evidence-based recommendations for researchers and practitioners in both areas. The thesis takes a three-pronged approach. First, a systematic review examines smart city crime prevention programmes and interventions currently in use. More specifically, it focusses on the functions of different technologies and how they are currently conceptualised. Second, a series of expert interviews considers police and crime prevention professionals’ knowledge, experience and use of crime prevention strategies related to smart city technology, focusing on their perceptions of challenges such as those related to public opposition. Third, an online experiment is used to test which factors may impact the social acceptability of smart surveillance technologies. Overall, the thesis develops knowledge, practically applicable for academics, policymakers, and practitioners, by identifying specific technological interventions, potential pitfalls and challenges in their implementation, and factors that impact their social acceptability.
| Type: | Thesis (Doctoral) |
|---|---|
| Qualification: | Ph.D |
| Title: | Crime Prevention and Detection Technologies in Smart Cities: Opportunities and Challenges |
| Open access status: | An open access version is available from UCL Discovery |
| Language: | English |
| Additional information: | Copyright © The Author 2022. 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 > 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 UCL |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10147500 |
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