登录    注册    忘记密码

详细信息

Big geo-data unveils influencing factors on customer flow dynamics within urban commercial districts  ( SCI-EXPANDED收录)  

文献类型:期刊文献

英文题名:Big geo-data unveils influencing factors on customer flow dynamics within urban commercial districts

作者:Peng, Xia[1];Niu, Yue-yan[2];Meng, Bin[2];Tao, Yingchun[3];Huang, Zhou[4]

第一作者:彭霞

通讯作者:Huang, Z[1]

机构:[1]Beijing Union Univ, Tourism Coll, Beijing, Peoples R China;[2]Beijing Union Univ, Coll Appl Arts & Sci, Beijing, Peoples R China;[3]Beijing Inst Surveying & Mapping, Beijing, Peoples R China;[4]Peking Univ, Inst Remote Sensing & Geog Informat Syst, Beijing, Peoples R China

第一机构:北京联合大学旅游学院

通讯机构:[1]corresponding author), Peking Univ, Inst Remote Sensing & Geog Informat Syst, Beijing, Peoples R China.

年份:2024

卷号:134

外文期刊名:INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION

收录:;Scopus(收录号:2-s2.0-85206656617);WOS:【SCI-EXPANDED(收录号:WOS:001339634700001)】;

基金:This research was supported by the National Natural Science Foundation of China (Grants No. 42271471, U2344216) , the Beijing Key Laboratory of Urban Spatial Information Engineering (Grant No. 20230106) , the Academic Research Projects of Beijing Union University (Grant No. ZK70202002) , and the Industry-University Collaborative Education Projects by the Ministry of Education (Grant No. 220802313193213) .

语种:英文

外文关键词:Commercial district; Customer flow; Influences; Multidimensional big geo-data; Beijing

摘要:Commercial districts, as the epicenters of urban commerce and economic activity, largely reflect an area's prosperity through their customer flow. However, previous research, which often relied on statistical and survey data, has typically not captured the full scope of customer flow dynamics throughout urban commercial districts and has not adequately measured the specific impacts of business district locations and their surrounding communities on customer flow. To bridge these gaps, this study utilizes multidimensional big geo-data resources, including mobile phone signaling data, Points of Interest (POI) data, and transportation network data, to uncover the underlying factors that influence customer flow within urban commercial districts. The findings suggest that several factors-the size of the commercial district, the diversity of business formats, the convenience of parking, the working and residential population in surrounding communities, and the proximity to urban centers-significantly influence the customer flow. Consumers show a preference for larger-scale, centrally-located commercial districts that offer convenient parking options, while a homogenized and uncharacteristic business format may reduce a commercial district's appeal. Furthermore, the study reveals that industrial parks and mixed-use complexes within the 15-minute living circle surrounding the commercial district have a stronger attraction to customer flow than residential neighborhoods do. The insights from this research not only guide the strategic placement of new commercial centers but also provide a robust framework for enhancing the layout of urban commercial spaces and for the revitalization and advancement of established commercial districts.

参考文献:

正在载入数据...

版权所有©北京联合大学 重庆维普资讯有限公司 渝B2-20050021-8 
渝公网安备 50019002500408号 违法和不良信息举报中心