Exploring the tidal effect of urban business district with large-scale human mobility data

作     者：Hongting NIU Ying SUN Hengshu ZHU Cong GENG Jiuchun YANG Hui XIONG Bo LANG Hongting NIU;Ying SUN;Hengshu ZHU;Cong GENG;Jiuchun YANG;Hui XIONG;Bo LANG

作者机构：School of Computer Science and EngineeringBeihang UniversityBeijing 100191China Key Lab of Intelligent Information Processing of Chinese Academy of Sciences(CAS)Institute of Computing TechnologyCASBeijing 100086China Baidu Talent Intelligence CenterBaidu Inc.Beijing 100085China Business SchoolImperial College LondonLondon SW72AZUK Artificial Intelligence ThrustThe Hong Kong University of Science and TechnologyGuangzhou 510030China 

出 版 物：《Frontiers of Computer Science》 (中国计算机科学前沿（英文版）)

年 卷 期：2023年第17卷第3期

页      面：77-90页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 081201[工学-计算机系统结构] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：The research work was supported by State Key Laboratory of Software Development Environment(SKLSDE-2021ZX-19 SKLSDE-2020ZX-02) 

主　　题：business district trajectory functionality detection tidal effect boundary detection visiting score 

摘      要：Business districts are urban areas that have various functions for gathering people,such as work,consumption,leisure and *** to the dynamic nature of business activities,there exists significant tidal effect on the boundary and functionality of business ***,effectively analyzing the tidal patterns of business districts can benefit the economic and social development of a ***,with the implicit and complex nature of business district evolution,it is non-trivial for existing works to support the fine-grained and timely analysis on the tidal effect of business *** this end,we propose a data-driven and multi-dimensional framework for dynamic business district ***,we use the large-scale human trajectory data in urban areas to dynamically detect and forecast the boundary changes of business districts in different time ***,we detect and forecast the functional changes in business *** results on real-world trajectory data clearly demonstrate the effectiveness of our framework on detecting and predicting the boundary and functionality change of business ***,the analysis on practical business districts shows that our method can discover meaningful patterns and provide interesting insights into the dynamics of business *** example,the major functions of business districts will significantly change in different time periods in a day and the rate and magnitude of boundaries varies with the functional distribution of business districts.