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| 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 | |
| 引用本文： | 杨喜平,杨鸿海,李彬,李君轶.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[J].人文地理,2021,36(1):115-124. |
| 作者姓名： | 杨喜平 杨鸿海 李彬 李君轶 |
| 作者单位： | 陕西师范大学地理科学与旅游学院,西安710119;陕西省旅游信息科学重点实验室,西安710119;青海省地理空间信息技术与应用重点实验室,西宁810000;青海省地理空间信息技术与应用重点实验室,西宁810000;青海省地理空间和自然资源大数据中心,西宁810000;陕西师范大学地理科学与旅游学院,西安710119;陕西省旅游信息科学重点实验室,西安710119 |
| 基金项目： | 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)。 |
| 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... |
| 关 键 词： | 手机数据 出行特征 时空行为 西宁市 |
| 收稿时间： | 2020-04-20 |
CHARACTERISTICS OF URBAN HUMAN MOBILITY OF WESTERN CHINA BASED ON MOBILE PHONE DATA: A CASE STUDY OF XINING |
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| YANG Xi-ping,YANG Hong-hai,LI Bin,LI Jun-yi.CHARACTERISTICS OF URBAN HUMAN MOBILITY OF WESTERN CHINA BASED ON MOBILE PHONE DATA: A CASE STUDY OF XINING[J].Human Geography,2021,36(1):115-124. | |
| Authors: | YANG Xi-ping YANG Hong-hai LI Bin LI Jun-yi |
| Institution: | 1. School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, China; 2. Shaanxi Key Laboratory of Tourism Informatics, Xi'an 710119, China; 3. Geomatics Technology and Application key Laboratory of Qinghai Province, Xining 810000, China; 4. Big Data Center of Geospatial and Natural Resources of Qinghai Province, Xining 810000, China |
| Abstract: | 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. |
| Keywords: | mobile phone data travel characteristics space-time behavior Xining |
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