基于大数据下的旅客流量分析—以贵阳到成都方向为例

Passenger Flow Analysis under the Big Data —A Case Study of Guiyang to Chengdu Direction

摘要: 本文以贵阳到成都方向为实例，经过对部分节假日客座率进行分析，可知在节假日前后旅客流量波动较大；用时间序列法对趋势客流量进行分析，对数据进行平稳性检验，对原序列拟合ARIMA模型，然后利用Hlot两参数指数平滑法对数据进行拟合；在回归分析中，将定性数据数量化，根据理论知识对数据进行分析，以起始时间、时长、座位的舒适度为指标，得出客流量与这几个指标之间的关系。

Abstract: By analyzing travelers’ seat rates during some holidays, we can draw a conclusion that the pas-senger flow has a big fluctuation during holidays, taking Guiyang to Chengdu direction as an ex-ample. We analyze the trend of the rate with time order method, exam the smoothly of data, and translate the order into the ARIMA model. Then, the data are fitted by Hlot two-parameter expo-nential smoothing. We quantify the qualitative data and analyze the data based on the theoretical knowledge in the analysis of regression. We regard the beginning time, duration, and the comfort level of the seats as indexes and we obtain the relationship between passenger flow and the above indexes.