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大城市客运交通系统出行方式特性分析
引用本文:张蕊,雷熙文,滕佳焱,毛保华.大城市客运交通系统出行方式特性分析[J].物流技术,2011(11):107-109,125.
作者姓名:张蕊  雷熙文  滕佳焱  毛保华
作者单位:北京交通大学中国综合交通研究中心;北京建筑工程学院土木与交通工程学院;
基金项目:北京市教育委员会科技发展计划(KM200610016005); 863计划(2007AA11Z125);863计划(2007AA11Z126)
摘    要:以我国大城市客运交通系统为研究对象,对各出行方式的出行距离与出行时耗分别进行了分布拟合。研究发现,采用k阶爱尔朗分布拟合表现出良好的适用性。在出行距离方面,小汽车与自行车的出行距离分布随机性最大,常规公交次之,城市轨道交通相对来说出行距离随机性最小;在出行时耗方面,自行车的时耗分布最为集中,小汽车与出租车次之,常规公交与城市轨道交通出行时耗分布范围最广。

关 键 词:城市客运交通  出行特性  分布拟合  爱尔朗分布

Analysis of Travel Characteristics of Major City Passenger Traffic Modes
ZHANG Rui,LEI Xi-wen,TENG Jia-yan,MAO Bao-hua.Analysis of Travel Characteristics of Major City Passenger Traffic Modes[J].Logistics Technology,2011(11):107-109,125.
Authors:ZHANG Rui    LEI Xi-wen  TENG Jia-yan  MAO Bao-hua
Institution:ZHANG Rui1,2,LEI Xi-wen2,TENG Jia-yan2,MAO Bao-hua1(1.Integrated Transportation Research Center of China,Beijing Jiaotong University,Beijing 100044,2.School of Civil Engineering & Transportation,Beijing University of Civil Engineering & Architecture,China)
Abstract:With the passenger traffic systems of major cities in China as the study object,the paper studies the distribution fitting of the travel distance and duration of the different modes and finds that K-order Erlang distribution function proves a useful tool in this respect.The results of the study indicate that,in terms of travel distance,the sedan car and bicycle are most stochastic,followed by the bus and then by the city rail transit and in terms of travel duration,the bicycle has the most concentrated dist...
Keywords:urban passenger traffic  travel characteristics  distribution fitting  Erlang distribution  
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