Williams, D;
Haworth, J;
Cheng, T;
(2016)
Predicting public confidence in the police with spatiotemporal Bayesian hierarchical modelling.
In:
Proceedings of the 24th GIS Research UK (GISRUK) Conference.
GIS Research UK (GISRUK): London, UK.
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Abstract
Public confidence in the police is crucial to effective policing. Estimating and predicting public confidence at the local level will better enable the police to conduct proactive confidence interventions to meet the concerns of the community. This work represents the first application of Bayesian spatiotemporal modelling to estimation and prediction of public confidence in the police at the local level. Three models of increasing spatiotemporal complexity were fitted by Markov chain Monte Carlo simulation using free software package WinBUGS. Public confidence was successfully predicted at the local level using a spatiotemporal model with an inseparable interaction structure.
| Type: | Proceedings paper |
|---|---|
| Title: | Predicting public confidence in the police with spatiotemporal Bayesian hierarchical modelling. |
| Event: | The 24th GIS Research UK (GISRUK) Conference (GISRUK2016) |
| Location: | London, UK |
| Dates: | 30 March 2017 - 01 April 2017 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | http://www.gre.ac.uk/ach/services/events/gisruk201... |
| Language: | English |
| Keywords: | Spatiotemporal, Bayesian hierarchical model, public confidence, policing, prediction |
| UCL classification: | UCL 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 Civil, Environ and Geomatic Eng |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/1544033 |
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