高铁快运产品货流分担率计算方法研究
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摘要
考虑客户对高铁快运产品的选择行为与高铁快运产品供给的相互关系,设计了基于供需匹配的两阶段高铁快运产品货流分担率计算方法.第1阶段考虑客户对高铁快运产品的选择意愿,构建高铁快运产品效用函数,建立考虑货流类型的高铁快运产品货流分担率计算模型,以刻画客户选择行为的差异和货流结构的差异对货流分担率的影响;第2阶段考虑高铁快运产品的供给特征,设计与客户选择效用值相关的货流转移概率的计算方法,并修正第1阶段的货流分担率计算结果.最后,以哈大高铁通道为例,对本文提出的方法进行验证.研究结果表明,考虑供需关系的高铁快运产品分担率计算方法更符合实际.
Considering the relationship between customer's choice and the supply of high-speed railway express products, a two-stage high-speed railway express product freight flow sharing rate calculation method based on supply-demand matching is designed. The customer's willingness to choose high-speed railway products is considered in the first stage, the utility function of high-speed railway express product is constructed,and a model for calculating the freight flow sharing rate of high-speed railway products is established considering the types of freight flows to reflect the difference of customer choosing behavior and the difference of freight flow structure.The characteristics of high-speed railway products supply is considered in the second stage, a method for calculating the freight flow shifting probability related to the customer's choice utility value, which is designed to modify the result of the first stage. Finally, taking the Harbin-Dalian corridor as an example, the method proposed in this paper is verified. The research results show that the calculation method of the share rate of high-speed railway transport products considering the relationship between supply and demand is more practical.
Considering the relationship between customer's choice and the supply of high-speed railway express products, a two-stage high-speed railway express product freight flow sharing rate calculation method based on supply-demand matching is designed. The customer's willingness to choose high-speed railway products is considered in the first stage, the utility function of high-speed railway express product is constructed,and a model for calculating the freight flow sharing rate of high-speed railway products is established considering the types of freight flows to reflect the difference of customer choosing behavior and the difference of freight flow structure.The characteristics of high-speed railway products supply is considered in the second stage, a method for calculating the freight flow shifting probability related to the customer's choice utility value, which is designed to modify the result of the first stage. Finally, taking the Harbin-Dalian corridor as an example, the method proposed in this paper is verified. The research results show that the calculation method of the share rate of high-speed railway transport products considering the relationship between supply and demand is more practical.
引文
[1]林湛,蒋明青,刘剑锋,等.城市轨道交通客流分配的改进Logit模型及方法[J].交通运输系统工程与信息,2012,12(6):145-151.[LIN Z,JIANG M Q,LIU J F,et al.Improved Logit model and method for urban rail transit network assignment[J].Journal of Transportation Systems Engineering and Information Technology,2012,12(6):145-151.]
[2]四兵锋,毛保华,刘智丽.无缝换乘条件下城市轨道交通网络客流分配模型及算法[J].铁道学报,2007,29(6):12-18.[SI B F,MAO B H,LIU Z L,et al.Passenger flow assignment model and algorithm for urban railway traffic network under the condition of seamless transfer[J].Journal of the China Railway Society,2007,29(6):12-18.]
[3]唐继孟.我国集装箱公铁联运争力分析及其提升策略研究[D].北京:北京交通大学,2018.[TANG J M.Competitiveness of container rail-road intermodal transport and its improving strategies in China[D].Beijing:Beijing Jiaotong University,2018.]
[4]ARUNOTAYANUN K,POLAK J W.Taste heterogeneity and market segmentation in freight shippers'mode choice behaviour[J].Transportation Research Part ELogistics&Transportation Review,2011,47(2):138-148.
[5]TALEBIAN A,ZOU B.Integrated modeling of high performance passenger and freight train planning on shared-use corridors in the US[J].Transportation Research Part B Methodological,2015(82):114-140.
[6]SOCORRO M P,VIECENS M F.The effects of airline and high speed train integration[J].Transportation Research Part A Policy&Practice,2013,49(49):160-177.
[7]王莹,郝丹,李海鹰,等.基于供需匹配的铁路运输通道客流分担率研究[J].铁道学报,2014,36(12):1-5.[WANG Y,HAO D,LI H Y,et al.Research on share rate of passenger flow in railway transportation corridor based on matching between supply and demand[J].Journal of the China Railway Society,2014,36(12):1-5.]
[2]四兵锋,毛保华,刘智丽.无缝换乘条件下城市轨道交通网络客流分配模型及算法[J].铁道学报,2007,29(6):12-18.[SI B F,MAO B H,LIU Z L,et al.Passenger flow assignment model and algorithm for urban railway traffic network under the condition of seamless transfer[J].Journal of the China Railway Society,2007,29(6):12-18.]
[3]唐继孟.我国集装箱公铁联运争力分析及其提升策略研究[D].北京:北京交通大学,2018.[TANG J M.Competitiveness of container rail-road intermodal transport and its improving strategies in China[D].Beijing:Beijing Jiaotong University,2018.]
[4]ARUNOTAYANUN K,POLAK J W.Taste heterogeneity and market segmentation in freight shippers'mode choice behaviour[J].Transportation Research Part ELogistics&Transportation Review,2011,47(2):138-148.
[5]TALEBIAN A,ZOU B.Integrated modeling of high performance passenger and freight train planning on shared-use corridors in the US[J].Transportation Research Part B Methodological,2015(82):114-140.
[6]SOCORRO M P,VIECENS M F.The effects of airline and high speed train integration[J].Transportation Research Part A Policy&Practice,2013,49(49):160-177.
[7]王莹,郝丹,李海鹰,等.基于供需匹配的铁路运输通道客流分担率研究[J].铁道学报,2014,36(12):1-5.[WANG Y,HAO D,LI H Y,et al.Research on share rate of passenger flow in railway transportation corridor based on matching between supply and demand[J].Journal of the China Railway Society,2014,36(12):1-5.]