摘要
把握人类活动的时空特征是地理学研究中探究人地关系、提升人类福祉的重要基础和核心内容,日益普及的Wi-Fi网络能够为此提供可靠的数据支持。为明确Wi-Fi数据融入地理学研究的切入点和发展方向,论文通过与GPS、手机信令、蓝牙等位置感应数据的比较,认为Wi-Fi数据具有更高的采样精度和更强的采样代表性,能够获取个体在室内外各类城市空间的连续活动轨迹,支撑精细尺度下的人类活动研究。通过系统梳理人群活动状态监测、个体间的社会关系识别、建筑物的功能识别和降低隐私泄露风险等方面的研究进展,认为Wi-Fi数据将会在基于实时动态人口数据的城市功能设施规划、融合多源数据的人地关系探究、以居民福祉为导向的宜居城市建设等方面具有应用前景,有望成为地理学研究人类活动的新支点。
Understanding the spatiotemporal characteristics of human activities is an important foundation and core content for exploring human-land relationship and improving human well-being in geographic research. The increasingly popular Wi-Fi network can provide reliable data for such understanding. To clarify the entry point and application direction of Wi-Fi data in geographic research, we compared Wi-Fi data with other location sensing data, including GPS, mobile phone signaling, and Bluetooth data. We found that Wi-Fi data have higher sampling accuracy and stronger sampling representativeness, which can obtain the continuous individual activity trajectory in various urban spaces indoors and outdoors, and support human activity research on a finer scale.Then we systematically reviewed the existing research using Wi-Fi data from the aspects of crowd activity status monitoring, individual social relationship identification, building function identification, and privacy infringement risk reduction. On this basis, we proposed the application prospects of Wi-Fi data, including realtime dynamic population data-based urban functional facility planning, multi-source data-based human-land relationship exploration, and human well-being oriented livable city construction. Therefore, we believe that WiFi data will become a new support for geographic research on human activities.
作者
李露凝
刘梦航
李强
胡成
陈晋
LI Luning;LIU Menghang;LI Qiang;HU Cheng;CHEN Jin(Faculty of Geographical Science,Beijing Normal University,Beijing 100875,China;State Key Laboratory of Earth Surface Processes and Resource Ecology,Beijing Normal University,Beijing 100875,China;Lab of Safety and Emergency Management,Institute of Urban Safety and Environmental Science,Beijing Academy of Science and Technology,Beijing 100054,China)
出处
《地理科学进展》
CSSCI
CSCD
北大核心
2021年第11期1970-1982,共13页
Progress in Geography
基金
国家自然科学基金项目(41977408)。
关键词
Wi-Fi数据
个体活动轨迹
人类活动
时空模式
Wi-Fi data
individual activity trajectory
human activity
spatiotemporal pattern
