基于手机数据的西部城市居民出行特征研究——以西宁市为例

CHARACTERISTICS OF URBAN HUMAN MOBILITY OF WESTERN CHINA BASED ON MOBILE PHONE DATA: A CASE STUDY OF XINING

基于手机轨迹数据系统的定量分析了西宁市不同群体的出行特征差异,通过定义移动距离、回转半径、出行频次和停留位置个数来定量居民的出行特征,分析不同性别、年龄段、工作日和休息日西宁市居民的出行差异。研究发现:(1)不同年龄群体出行行为差异显著,其中31—40岁年龄段居民的出行需求最为强烈,大于60岁的老年人出行需求最小;(2)男性在出行距离、活动范围、出行频次和停留位置个数方面都全部高于女性;(3)居民在休息日的平均移动距离、出行频次和停留位置个数都显著大于工作日,但休息日和工作日的活动范围并没有显著差异。

The spatiotemporal travel behavior is helpful for understanding urban spatial structure, which is meaningful to urban planning and management. With the emergence of big space-time trajectory data, providing a new data for studying large-scale human mobility patterns, which gives insight of human mobility characteristics from macroscopic, collective and spatiotemporal dynamic perspectives. This study focuses on quantifying the difference of human mobility for different groups in Xining using mobile phone data, the displacement distance, radius of gyration, travel frequency and number of stop location are defined to measure the human mobility, then analyzing the difference of human mobility fordifferent gender, ages, workday and weekend.The results find that there are significant different in human mobility for different age groups, residents aged between 30-40 have the strongest travel demand, while those aged over 60 have the smallest travel demand. In terms of travel distance, activity range, travel frequency and number of stop locations, male is significant bigger than female.