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来源：百度知道 编辑：UC知道 时间：2024/06/18 17:55:33
研究铁路旅客乘车行为对旅客列车开行方案的进一步优化、客运服务质量的提高和客运新产品的开发都具有重要意义。本文在分析铁路旅客乘车行为的特点和影响因素的基础上, 将铁路旅客乘车选择行为的影响因素归结为旅客主体特性、列车特性和随机因素,构造可以直观描述列车特性的时间、费用和舒适度等几个因素之间关系的曲线图，并通过影响因素选择及参数标定等，采用层次分析法建立了铁路旅客乘车选择的层次结构模型,给出了算法和步骤,用于计算旅客对不同种类列车的选择行为。并以某区段不同收入旅客群的乘车选择行为为例进行计算分析，所得结果较为合理，充分的反应了铁路旅客乘车选择行为的特征。
在最后简单介绍了随机效用理论的方法，以及采用随机效用理论建立铁路旅客乘车选择行为模型,给出个体旅客对列车选择概率的多项Logit模型,并求得模型的结果。
通过本文的研究，全面分析铁路旅客乘车行为的特点及其影响因素，揭示铁路旅客乘车选择的内在原因。在此基础上，研究铁路旅客在乘车网络上的客流分配理论，为铁路旅客列车开行方案的制定和旅客运输组织政策的制订提供依据，为提高铁路旅客运输组织水平和客运服务水平奠定理论基础。
Abstract
Study of rail passengers travelling on a passenger train line for further optimized, improving the quality of passenger service and passenger development of new products are of great significance. Based on the analysis of rail passengers travelling to the characteristics and behavior on the basis of factors, rail passengers travelling choice behavior of the main factors attributed to passengers of the train features and random factors, the structure can be described intuitive train of time, cost and Several factors such as comfort relationship between the curve and, through factors such as selection and calibration, using AHP a choice of rail passengers travelling level model, the algorithm is given and steps used to calculate visitors Different types of trains on the choice of behavior. And a segment of different income groups of tourists travelling to choose as an example of calculation and analysis, the results of a more reasonable and adequate response to a railwa