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Analysis of Influencing Factors of Intercity Passenger Residence Time Based on Survival Analysis Theory

机译:基于生存分析理论的城市间乘客停留时间影响因素分析

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The residence time of intercity passengers is an important factor affecting the frequency of intercity railway departures, and it also reflects the service level of stations to a certain extent. However, due to the unique statistical properties and complexity of the residence time, the censored, and non-negative in the data processing process frequently appear, which causes scholars to encounter bottlenecks when studying the problem in depth. Based on this, this paper considers the advantages of bio mathematics in dealing with such data. It is proposed to introduce a parametric survival analysis model in biology to study the factors affecting passenger residence time and establish a passenger residence time evaluation system to determine the weight of each impact factor. At the same time, with the help of SPSS, the method of survival analysis Cox semi-parametric model is used to test the model parameters. The test results show that the model fits well. In the course of the research, this paper considers a number of characteristic variables related to passengers. The results show that the degree of influence of the transfer tool, the purpose of the trip, and the source of the cost on the passenger's residence time increases one by one. Moreover, the income level, age, and education level of passengers also have a certain degree of influence on the residence time of passengers. At the end of the paper, the significance of the research results on station management decision-making is analyzed separately.
机译:跨越乘客的停留时间是影响城区铁路偏离频率的重要因素,并且还在一定程度上反映了站的服务水平。然而,由于宿舍的独特统计特性和复杂性,数据处理过程中的审查和非负面经常出现,这导致学者在深入研究问题时遇到瓶颈。基于此,本文考虑了生物数学在处理此类数据的优势。建议在生物学中引入参数生存分析模型,研究影响乘客停留时间的因素,并建立乘客停留时间评估系统,以确定每个影响因子的重量。同时,在SPSS的帮助下,使用生存分析Cox半导体模型的方法来测试模型参数。测试结果表明,模型适合。在研究过程中,本文考虑了与乘客有关的许多特征变量。结果表明,转移工具的影响程度,旅行目的和乘客停留时间成本的来源将逐一增加。此外,乘客的收入水平,年龄和教育水平也对乘客的住宿时间有一定的影响。在论文结束时,分别分别分析了站管理决策研究结果的重要性。

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