摘要
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.
作者
杨喜平
杨鸿海
李彬
李君轶
YANG Xi-ping;YANG Hong-hai;LI Bin;LI Jun-yi(School of Geography and Tourism,Shaanxi Normal University,Xi'an 710119,China;Shaanxi Key Laboratory of Tourism Informatics,Xi'an 710119,China;Geomatics Technology and Application key Laboratory of Qinghai Province,Xining 810000,China;Big Data Center of Geospatial and Natural Resources of Qinghai Province,Xining 810000,China)
出处
《人文地理》
CSSCI
北大核心
2021年第1期115-124,共10页
Human Geography
基金
国家自然科学基金项目(41801373)
陕西省重点产业创新链(群)—社会发展领域项目(2019ZDLSF07-04)
青海省地理空间信息技术与应用重点实验室基金资助(QHDX-2018-08)。
关键词
手机数据
出行特征
时空行为
西宁市
mobile phone data
travel characteristics
space-time behavior
Xining