基于手机信令数据的城市居民出行特征季节性差异分析

Seasonal difference analysis of urban residents’ travel behavior characteristics based on mobile signaling data

结合实例对城市居民出行手机信令数据进行初期处理,在对比分析夏冬两季居民出行手机信令数据的基础上,对研究区域数据进行时间序列分析、聚类和空间自相关性指数分析,对两季节出行特征进行对比分析。研究结果表明:在时间和空间分布上,居民出行特征呈现时间滞后互相关性和自相关性,在出行强度上受气候、人文等各方面因素影响。基于手机信令数据的城市居民出行特征季节性分析方法对寒地城市交通规划与大数据分析的开展具有参考价值。

Based on the comparative analysis of the mobile phone signaling data of urban residents’ travel in summer and winter, the time series analysis, clustering and spatial autocorrelation index analysis of the data in the study area are carried out, and the travel behavior characteristics of the two seasons are compared and analyzed. The results show that in terms of time and space distribution, residents’ travel behavior characteristics show time lag cross-correlation and autocorrelation, and the travel intensity is affected by climate, humanities and other factors. The seasonal analysis method of urban residents’ travel behavior characteristics based on mobile signaling data has certain reference value for the development of urban traffic planning and big data analysis in cold regions.