| 1. | This paper , on the basis of yuelu - mountain high - tech park in changsha city , beginning with the investigation of diversiform transit - trip in the park , firstly analyzes and evaluates space - time change law of traffic flow and situation of traffic service level on actual road net - work in the park ; secondly , applying multi - statistical analysis method , taking investigated corporation as sample , using annual freight traffic volume produced by unit plant area of the corporation , with clustering analysis , obtains four sorts of the sample corporation , and establishes the predict models of freight traffic volume for every kind of corporation . with these models , actual or planning year ’ s day maximum freight traffic volume can be predicted . the third , this paper makes analysis research of trip law of employees in the park , and obtains the index of trip times , trip modes and trip development trend of the employees
本文以长沙市岳麓山高科技园区为依托,从调查园区内的各类交通出行开始,首先分析评价了园区内现状道路网上的交通流时空变化规律及道路网上的交通服务水平状况;其次是应用多元统计分析方法,以调查企业为样品,以企业单位车间面积所产生的年货运交通量为变量,通过聚类分析,获得了样本企业的四个类别,并建立了各类企业货运交通量的预测模型,应用这些模型,可预测园区内现状或规划年的日最大货运交通量;第三是对园区内企业员工的出行规律做了分析研究,获得了企业员工的出行次数、出行方式及出行发展趋势等等特性指标;最后是对园区内小区居民的出行状况进行了分析,获得了居民出行的诸如高峰时段、高峰出行量等等的特征数据。 |
