Evaluating the No Cold Calling zones in Peterborough, England: application of a novel statistical method for evaluating neighbourhood policing policies

Guangquan Li, Robert Haining, Sylvia Richardson, Nicky Best

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

Abstract

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.
Original languageEnglish
Pages (from-to)2012-2026
JournalEnvironment and Planning A
Volume45
Issue number8
DOIs
Publication statusPublished - 2013

Keywords

  • policy evaluation
  • neighbourhood policing
  • time series data
  • interrupted time series analysis
  • Bayesian hierarchical models

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