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The relative efficiency of Iranian’s rural traffic police: a three-stage DEA model

BACKGROUND: Road traffic Injuries (RTIs) as a health problem imposes governments to implement different interventions. Target achievement in this issue required effective and efficient measures. Efficiency evaluation of traffic police as one of the responsible administrators is necessary for resourc...

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Autores principales: Rahimi, Habibollah, Soori, Hamid, Nazari, Seyed Saeed Hashemi, Motevalian, Seyed Abbas, Azar, Adel, Momeni, Eskandar, Javartani, Mehdi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5640958/
https://www.ncbi.nlm.nih.gov/pubmed/29029612
http://dx.doi.org/10.1186/s12889-017-4780-z
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author Rahimi, Habibollah
Soori, Hamid
Nazari, Seyed Saeed Hashemi
Motevalian, Seyed Abbas
Azar, Adel
Momeni, Eskandar
Javartani, Mehdi
author_facet Rahimi, Habibollah
Soori, Hamid
Nazari, Seyed Saeed Hashemi
Motevalian, Seyed Abbas
Azar, Adel
Momeni, Eskandar
Javartani, Mehdi
author_sort Rahimi, Habibollah
collection PubMed
description BACKGROUND: Road traffic Injuries (RTIs) as a health problem imposes governments to implement different interventions. Target achievement in this issue required effective and efficient measures. Efficiency evaluation of traffic police as one of the responsible administrators is necessary for resource management. Therefore, this study conducted to measure Iran’s rural traffic police efficiency. METHODS: This was an ecological study. To obtain pure efficiency score, three-stage DEA model was conducted with seven inputs and three output variables. At the first stage, crude efficiency score was measured with BCC-O model. Next, to extract the effects of socioeconomic, demographic, traffic count and road infrastructure as the environmental variables and statistical noise, the Stochastic Frontier Analysis (SFA) model was applied and the output values were modified according to similar environment and statistical noise conditions. Then, the pure efficiency score was measured using modified outputs and BCC-O model. RESULTS: In total, the efficiency score of 198 police stations from 24 provinces of 31 provinces were measured. The annual means (standard deviation) of damage, injury and fatal accidents were 247.7 (258.4), 184.9 (176.9), and 28.7 (19.5), respectively. Input averages were 5.9 (3.0) patrol teams, 0.5% (0.2) manpower proportions, 7.5 (2.9) patrol cars, 0.5 (1.3) motorcycles, 77,279.1 (46,794.7) penalties, 90.9 (2.8) cultural and educational activity score, 0.7 (2.4) speed cameras. The SFA model showed non-significant differences between police station performances and the most differences attributed to the environmental and random error. One-way main road, by road, traffic count and the number of household owning motorcycle had significant positive relations with inefficiency score. The length of freeway/highway and literacy rate variables had negative relations, significantly. Pure efficiency score was with mean of 0.95 and SD of 0.09. CONCLUSIONS: Iran’s traffic police has potential opportunity to reduce RTIs. Adjusting police performance with environmental conditions is necessary. Capability of DEA method in setting quantitative targets for every station induces motivation for managers to reduce RTIs. Repetition of this study is recommended, annually.
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spelling pubmed-56409582017-10-18 The relative efficiency of Iranian’s rural traffic police: a three-stage DEA model Rahimi, Habibollah Soori, Hamid Nazari, Seyed Saeed Hashemi Motevalian, Seyed Abbas Azar, Adel Momeni, Eskandar Javartani, Mehdi BMC Public Health Research Article BACKGROUND: Road traffic Injuries (RTIs) as a health problem imposes governments to implement different interventions. Target achievement in this issue required effective and efficient measures. Efficiency evaluation of traffic police as one of the responsible administrators is necessary for resource management. Therefore, this study conducted to measure Iran’s rural traffic police efficiency. METHODS: This was an ecological study. To obtain pure efficiency score, three-stage DEA model was conducted with seven inputs and three output variables. At the first stage, crude efficiency score was measured with BCC-O model. Next, to extract the effects of socioeconomic, demographic, traffic count and road infrastructure as the environmental variables and statistical noise, the Stochastic Frontier Analysis (SFA) model was applied and the output values were modified according to similar environment and statistical noise conditions. Then, the pure efficiency score was measured using modified outputs and BCC-O model. RESULTS: In total, the efficiency score of 198 police stations from 24 provinces of 31 provinces were measured. The annual means (standard deviation) of damage, injury and fatal accidents were 247.7 (258.4), 184.9 (176.9), and 28.7 (19.5), respectively. Input averages were 5.9 (3.0) patrol teams, 0.5% (0.2) manpower proportions, 7.5 (2.9) patrol cars, 0.5 (1.3) motorcycles, 77,279.1 (46,794.7) penalties, 90.9 (2.8) cultural and educational activity score, 0.7 (2.4) speed cameras. The SFA model showed non-significant differences between police station performances and the most differences attributed to the environmental and random error. One-way main road, by road, traffic count and the number of household owning motorcycle had significant positive relations with inefficiency score. The length of freeway/highway and literacy rate variables had negative relations, significantly. Pure efficiency score was with mean of 0.95 and SD of 0.09. CONCLUSIONS: Iran’s traffic police has potential opportunity to reduce RTIs. Adjusting police performance with environmental conditions is necessary. Capability of DEA method in setting quantitative targets for every station induces motivation for managers to reduce RTIs. Repetition of this study is recommended, annually. BioMed Central 2017-10-13 /pmc/articles/PMC5640958/ /pubmed/29029612 http://dx.doi.org/10.1186/s12889-017-4780-z Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Rahimi, Habibollah
Soori, Hamid
Nazari, Seyed Saeed Hashemi
Motevalian, Seyed Abbas
Azar, Adel
Momeni, Eskandar
Javartani, Mehdi
The relative efficiency of Iranian’s rural traffic police: a three-stage DEA model
title The relative efficiency of Iranian’s rural traffic police: a three-stage DEA model
title_full The relative efficiency of Iranian’s rural traffic police: a three-stage DEA model
title_fullStr The relative efficiency of Iranian’s rural traffic police: a three-stage DEA model
title_full_unstemmed The relative efficiency of Iranian’s rural traffic police: a three-stage DEA model
title_short The relative efficiency of Iranian’s rural traffic police: a three-stage DEA model
title_sort relative efficiency of iranian’s rural traffic police: a three-stage dea model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5640958/
https://www.ncbi.nlm.nih.gov/pubmed/29029612
http://dx.doi.org/10.1186/s12889-017-4780-z
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