Spatio-temporal variations in the urban rhythm: the travelling waves of crime
- Submitting institution
-
University of Exeter
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1824
- Type
- D - Journal article
- DOI
-
10.1140/epjds/s13688-018-0158-4
- Title of journal
- EPJ Data Science
- Article number
- ARTN 29
- First page
- -
- Volume
- 7
- Issue
- 1
- ISSN
- 2193-1127
- Open access status
- Compliant
- Month of publication
- September
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
3
- Research group(s)
-
-
- Citation count
- 4
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- We debunk the notion of spatiotemporal stationarity of crime and reveal that crime exhibits features that support the concept of cities in constant change. We proposed an approach to investigate temporal regularities in crime, pioneering the use of Wavelet analysis to examine crime. Our findings challenge the idea of static policy-making, suggesting that policy-makers need dynamic methods and a continuous assessment of cities. We presented this work at NetCrime 2018 symposium and were invited to discuss it on SpringerBlog: http://blogs.springeropen.com/springeropen/2018/09/27/listening-changes-urban-rhythm/ The research was supported by the Army Research Office (grant: W911NF-17-1-0127-P00001) and the Open Access Fund of the Leibniz Association.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
