Rahimi Habibollah, Soori Hamid, Nazari Seyed Saeed Hashemi, Motevalian Seyed Abbas, Azar Adel, Momeni Eskandar, Javartani Mehdi
Trauma Research Center, Kashan University of Medical Sciences, Kashan, IR, Iran.
Department of Epidemiology, Safety Promotion and Injury Prevention Research Center, School of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, IR, Iran.
BMC Public Health. 2017 Oct 13;17(1):806. doi: 10.1186/s12889-017-4780-z.
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.
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.
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.
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.
道路交通伤害（RTIs）作为一个健康问题，促使各国政府实施不同的干预措施。要在这个问题上实现目标，需要采取有效且高效的措施。对作为责任管理者之一的交通警察进行效率评估，对于资源管理而言是必要的。因此，本研究旨在衡量伊朗农村交通警察的效率。
这是一项生态研究。为了获得纯效率得分，采用了具有七个输入变量和三个输出变量的三阶段DEA模型。在第一阶段，使用BCC - O模型测量原始效率得分。接下来，为了提取社会经济、人口统计学、交通流量和道路基础设施等环境变量以及统计噪声的影响，应用了随机前沿分析（SFA）模型，并根据相似的环境和统计噪声条件对输出值进行了修正。然后，使用修正后的输出值和BCC - O模型测量纯效率得分。
总共测量了31个省份中24个省份的198个警察局的效率得分。每年损坏、受伤和致命事故的均值（标准差）分别为247.7（258.4）、184.9（176.9）和28.7（19.5）。输入的平均值为5.9（3.0）个巡逻队、0.5%（0.2）的人力比例、7.5（2.9）辆巡逻车、0.5（1.3）辆摩托车、77279.1（46794.7）次处罚、90.9（2.8）的文化和教育活动得分、0.7（2.4）个测速摄像头。SFA模型显示警察局绩效之间无显著差异，且大多数差异归因于环境和随机误差。单行道、道路、交通流量以及拥有摩托车的家庭数量与无效率得分呈显著正相关。高速公路/公路长度和识字率变量与无效率得分呈显著负相关。纯效率得分均值为0.95，标准差为0.09。
伊朗交通警察有减少道路交通伤害的潜在机会。根据环境条件调整警察绩效是必要的。DEA方法为每个警察局设定定量目标的能力激发了管理者减少道路交通伤害的动力。建议每年重复进行本研究。
