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Patterns of passenger traffic formation in urban public transport

机译:城市公共交通工具的旅客交通模式

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The purpose of the study is to perform a detailed statistical analysis of passenger traffic flows at stops of various bus routes in the city of Krasnoyarsk. The authors used the following methods: spectral analysis, factor analysis, correlation and cross-correlation analyses. During the study, indicators of passenger traffic irregularity in time and direction in Krasnoyarsk were obtained. The authors established a rather inertial nature of passenger traffic, with a positive correlation of up to two weeks, indicating stable patterns that can be predicted. The spectral analysis revealed three peaks in passenger traffic seasonality. The correlation and cross-correlation analyses showed strong relationships between inter-stop passenger traffic flows. The factor analysis made it possible to determine that only one principal component can provide 65% of information about the entire passenger traffic volume on urban public transport routes.
机译:该研究的目的是在Krasnoyarsk城市的各种巴士路线的停止下进行对客运流量的详细统计分析。作者使用以下方法:光谱分析,因子分析,相关性和互相关分析。在研究期间,获得了在Krasnoyarsk的时间和方向的乘客交通不规则指标。作者建立了乘客交通的相当惯性性质,正相关的正相关长达两周,表明可以预测的稳定模式。光谱分析显示了乘客交通季节性的三个峰。相关性和交叉相关分析显示间歇性客运流量之间的强大关系。因子分析使得只能确定只有一个主要成分可以提供有关城市公共交通路线整个客厅交通量的65%的信息。

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