Evaluating the No Cold Calling Zones in Peterborough, England

Application of a Novel Statistical Method for Evaluating Neighbourhood Policing Policies

Datos Bibliográficos

ID4139955
AutoresGuangquan Li (0000-0002-4144-5634, Department of Epidemiology and Biostatistics, Imperial College, London, England and MRC-HPA Centre for Environment and Health, Imperial College, London W2 1PG, England, autor de correspondencia), Robert Haining (0000-0003-3462-7218, University of Cambridge, autor de correspondencia), Sylvia Richardson (0000-0003-1998-492X, MRC Biostatistics Unit, Institute of Public Health, University Forvie Site, Robinson Way, Cambridge CB2 0SR, England, autor de correspondencia), Nicholas Best (0000-0003-4120-9727, Imperial College London, autor de correspondencia), Nicky Best (Department of Epidemiology and Biostatistics, Imperial College, London, England and MRC-HPA Centre for Environment and Health, Imperial College, London W2 1PG, England)
Año2013
Volumen45
Número8
Páginas2012-2026
Fecha de publicación2013-08-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaEnvironment and Planning A Economy and Space (JOURNAL)
Identificadores de la revistaISSN: 0308-518X • E-ISSN: 1472-3409
EditorialSAGE Publications Inc (PUBLISHER)
DOI10.1068/a45374
OpenAlexW2093702148
IdiomaEN
Citas recibidas4
Referencias citadas28

Some police forces in the UK institute 'No Cold Calling' (NCC) zones to reduce cold callings (unsolicited visits to sell products or services), which are often associated with rogue trading and distraction burglary. This paper evaluates the NCC-targeted areas chosen in 2005-06 in Peterborough and reports whether they experienced a measurable impact on their burglary rates in the period up to 2008. Time-series data for burglary at the census output area level are analysed using a Bayesian hierarchical modelling approach to address issues of data sparsity and lack of randomised allocation of areas to treatment groups that are often encountered in small-area quantitative policy evaluation. To ensure internal validity, we employ the interrupted time-series quasi-experimental design embedded within a matched case-control framework. Results reveal a positive impact of NCC zones on reducing burglary rates in the targeted areas compared with the control areas

Bayesian probability · Census · Distraction · Operations management · Operations research · Sociology · Computer Science · Crime Patterns and Interventions · Crime, Illicit Activities, and Governance · Demography · Engineering · HIV, Drug Use, Sexual Risk · Mathematics · Psychology · Artificial Intelligence