摘要
各种出行方式具有其特有的适用范围,出行者选择出行方式正是基于个性经济特征对出行方式的安全性、经济性、方便性、快速性等做出的综合决策,由此,出行在时间、距离、密度等方面呈现出梯度变化的趋势,并构成出行的时间梯度、距离梯度、密度梯度、价格梯度与弹性梯度。本文探讨出行梯度与出行结构之间的关系,利用SPSS统计分析软件进行回归分析,并以成都市为例对该模型进行验证,证明了该模型的有效性。本文的研究结果为出行结构分析与预测提供了较为简单易行的方法。
Trips with a variety of ways have its unique range of service.Based on the economic characteristics,trippers make a comprehensive decision considering travel security,economy,convenience and speediness.Thus trips show gradient change trend in terms of time,distance,density etc.and therefore constitute a gradient of trip time,distance gradient,density gradient,price gradient and flexibility gradient.This paper discusses the relationship between the trip gradient and structure of trip mode share,takes the city of Chengdu as an example and validates the model through the trip data by using SPSS statistical analytic software for regression analysis and provides an easier method for trip structural analysis and prediction.
出处
《西华大学学报(自然科学版)》
CAS
2010年第5期75-78,共4页
Journal of Xihua University:Natural Science Edition
关键词
出行
出行梯度
出行结构
trip
trip gradient
structure of trip mode share