| 引用本文: | 蒋贤才,黄科,汪贝.交通电子执法威慑水平量化分析[J].哈尔滨工业大学学报,2014,46(12):65.DOI:10.11918/j.issn.0367-6234.2014.12.011 |
| JIANG Xiancai,HUANG Ke,WANG Bei.Deterrent effect quantitative analysis of traffic automated enforcement[J].Journal of Harbin Institute of Technology,2014,46(12):65.DOI:10.11918/j.issn.0367-6234.2014.12.011 |
|
| 摘要: |
| 为了探析交通电子执法在抑制交通违法行为方面的威慑成效和水平,以描述气体扩散效应的烟羽模型为基础,分析影响交通电子执法威慑成效的相关因素在时空作用域上的特征,修正并重新定义了烟羽模型中各因子的含义及表达形式,构建了交通电子执法威慑水平量化分析模型,并用交通调查数据标定了模型中常量的取值．案例分析表明,该模型的计算结果与交通违法率的调查结果趋于一致,说明该模型能客观地量化电子执法在抑制交通违法行为方面的贡献程度． 合理布设交通电子执法设施的位置、作用方向和数量,能有效降低电子执法区域内的交通违法率． |
| 关键词: 交通电子执法 威慑水平 扩散效应 烟羽模型 交通违法 |
| DOI：10.11918/j.issn.0367-6234.2014.12.011 |
| 分类号:U491 |
| 基金项目:中央高校基本科研业务费专项资金(HIT.NSRIF.2012061)；哈尔滨工业大学优秀青年教师培养计划(HITQNJS.2009.051)；哈尔滨市科技创新人才研究专项资金(2010RFQXG006). |
|
| Deterrent effect quantitative analysis of traffic automated enforcement |
|
JIANG Xiancai1, HUANG Ke2, WANG Bei1
|
|
(1.School of Transportation Science and Engineering, Harbin Institute of Technology, 150090 Harbin, China; 2.Western Branch, China Academy of Urban Planning and Design, 401121 Chongqing, China)
|
| Abstract: |
| To analyze the deterrent effect and level of traffic electronic enforcement on inhibition of traffic violation, on the basis of the plume model, this paper built a quantitative analysis model of traffic electronic enforcement deterrence level. This model corrected and redefined the factor meaning and expression form of plume model, and calibrated constant values with data from traffic survey to analyze the characteristics of related factors which can influence the traffic electronic enforcement deterrence effect on the scope of time and space. The case studies showed that the calculation results of the model was consistent with the survey results of traffic violation rate, which indicated that this model can quantify the contribution degree of electronic enforcement on inhibition of traffic violation. By reasonable layout of location, direction and quantity of traffic electronic enforcement facilities, the traffic violation rate of the layout area can be effectively reduced. |
| Key words: traffic automated enforcements deterrent effect diffusion effects plume model traffic violation |
