Journal of Transportation Systems Engineering and Information Technology ›› 2018, Vol. 18 ›› Issue (4): 25-31.

• Forum about Comprehensive Transportation System • Previous Articles     Next Articles

Dominant Transportation Distance for Multi Transportation Modes in Urban Integrated Transportation Network Based on General Travel Costs

FAN Qi a, b, c, WANG Wei a, b, c, HUA Xue-dong a, b, c, WEI Xue-yan a, b, c, LIANG Ming-zhang a, b, c   

  1. a. Jiangsu Key Laboratory of Urban ITS; b. Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies; c. School of Transportation, Southeast University, Nanjing 210096, China
  • Received:2017-11-29 Revised:2018-05-31 Online:2018-08-25 Published:2018-08-27

基于广义出行费用的城市综合交通方式优势出行距离研究

范琪 a, b, c,王炜* a, b, c,华雪东 a, b, c,魏雪延 a, b, c,梁鸣璋 a, b, c   

  1. 东南大学 a. 城市智能交通江苏省重点实验室;b. 现代城市交通技术协同创新中心; c. 交通学院,南京 210096
  • 作者简介:范琪(1991-),女,河南洛阳人,博士生.
  • 基金资助:

    国家自然科学基金(重点)/Key Project of National Natural Science Foundation of China(51338003);江苏省博士后科研资助计划/ Jiangsu Province Postdoctoral Research Funding Schemes(1701082B).

Abstract:

In order to study the structure of urban integrated transportation network and help policymakers to allocate urban traffic resources reasonably, the probability density curve of the dominant travel distance of each mode of transport based on the generalized travel cost in urban comprehensive traffic network is studied. Analysis of the general travel costs for residents’ travel (which is the service level of transport modes, including travel time, fares and comfort levels) can determine the average costs of travel modes in the city. The probability density curve of travel distance with different transport modes in the same travel network is constructed, and the probability density model of urban transport modes based on generalized travel cost can be obtained by analyzing and fitting the probability density curve. Finally, Nanjing is taken an empirical analysis as a case study.

Key words: urban traffic, integrated transportation network, model split passenger transport, dominant transportation distance, probability density curve

摘要:

为研究城市综合交通网络结构,帮助决策者合理配置城市交通资源,本文研究了城市综合交通网络中基于广义出行费用的各交通方式优势出行距离概率密度曲线.分析居民出行的广义出行费用(即交通方式的服务水平,包括出行时间和票价等)可以确定城市中常见交通方式出行所需的平均花费水平,从而构建出同一出行网络中不同交通方式优势出行距离的概率密度曲线,对概率密度曲线进行分析和拟合可以得到固定形式的基于广义出行费用的城市综合交通方式优势出行距离概率密度模型.最后,以南京市为例进行实证分析.

关键词: 城市交通, 综合交通运输, 客运方式选择, 优势运距, 概率密度曲线

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