交通运输工程与信息学报Issue(2)：42-48,7.DOI:10.3969/j.issn.1672-4747.2014.02.007
城市出租车行业群发性事件风险预警方法
Forecast of Unexpected Mass Incident Risk in Urban Taxi Industry
摘要
Abstract
To achieve real-time monitoring and early-warning of unexpected mass incident risk(UMIR) in a city taxi industry, an evaluation index system of the risk assessment for a taxi industry was built from four aspects of taxi market supply and demand indicators, market price and operating cost indexes, market environment indicators and the relevant policy indicators. Then, a relative risk assessment model was established using AHP and the weighted average method. After the risk classification standard was put forward and the levels of the risk thresholds were determined by the cumulative frequency curve method.Then, the all historical UMI in Anhui province were used to test the proposed model and a case analysis of Bangbu city was given to show the applicaton of the proposed method. The results showed that the proposed method was effective and practical for risk forecast and identification.关键词
城市出租车行业/群发性事件/层次分析法/风险评估/风险分级Key words
City taxi industry/mass unexpected incidents/AHP(Analytic hierarchy process)/risk assessment/risk classification分类
社会科学引用本文复制引用
胡思涛,朱艳茹,项乔君..城市出租车行业群发性事件风险预警方法[J].交通运输工程与信息学报,2014,(2):42-48,7.基金项目
高等学校博士学科点专项科研基金项目（20100092110037）。 （）
