Factors affecting police station efficiency: DEA in police logistics

Zilla Sinuany-Stern, Doron Alper

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


This study identifies factors affecting police station performance in Israel. In the first stage, data envelopment analysis (DEA) was used to measure the relative efficiency of 60 police stations, based on two inputs and 16 outputs, including several logistic parameters. In the second stage, a cross-efficiency (CE) measure was then used to rank-scale police stations. We show that CE, which is calculated as the average of its evaluations using the weights of all stations, has a normal distribution. In the third stage, multiple regressions were performed to verify the effect of various logistic and environmental factors on CE efficiency (from the second stage). We found that one logistical factor, the number of vehicles of the population in a station’s jurisdiction, was statistically significant. We show that the use of CE in the regression analysis offers a novel approach for dealing with stochastic DEA.

Original languageEnglish
Pages (from-to)75-101
Number of pages27
JournalInternational Journal of Logistics Systems and Management
Issue number1
StatePublished - 1 Jan 2019


  • Benchmark
  • DEA
  • Data envelopment analysis
  • Efficiency
  • Israel
  • Linear programming
  • Logistics
  • Performance
  • Police
  • Police performance
  • Productivity
  • Regression analyses
  • Statistical inference

ASJC Scopus subject areas

  • Management Information Systems
  • Management Science and Operations Research
  • Information Systems and Management


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