交通信息与安全2017，Vol.35Issue(4)：119-126,8.DOI:10.3963/j.issn.1674-4861.2017.04.016
交通大数据平台效益评价方法
A Benefit Evaluation Method of Traffic Big Data Platform
摘要
Abstract
Owing to the versatile traffic big data platforms, a benefit evaluation method based on "trip mode share ratio" is developed.The method is different from traditional ITS evaluation methods which are generally based on the economic benefits of vehicle owners.Cost Savings include fares of vehicle transportation, time cost of passengers, and environmental cost (e.g.CO2 emission).Considering different income level of passengers, a comprehensive formula is proposed to calculate the time cost of different travel modes and purposes.Values of parameters are determined through a traffic big data platform.Moreover, a benefit evaluation formula of cost savings resulted from traffic mode transfers is proposed by "with and without comparison method".Take the traffic big data platform of Wuhan City as a case study, a cost-benefit analysis is carried out in terms of the influence area and selection of parameters.The method is proved to be a useful way of quantitative benefit evaluation for traffic big data platforms, and provides a guideline for future similar projects.关键词
交通运输经济/效益评价体系/交通大数据平台/出行分担比/人工时间成本/交通方式转移/运输成本/碳排放Key words
transportation economy/benefit evaluation systems/traffic big data platform/trip mode sharing ratio/labor time cost/traffic mode transfer/transportation cost/carbon emission分类
交通工程引用本文复制引用
彭庆艳..交通大数据平台效益评价方法[J].交通信息与安全,2017,35(4):119-126,8.基金项目
世行贷款武汉城市圈交通一体化示范项目(P148294)资助 （P148294）
