Customer attractiveness evaluation and classification of urban commercial centers by crowd intelligence
作者：
Highlights：
• Commercial center is precisely defined geographically and sociologically.
• Attractiveness degree is the proposed metric to evaluate the attractiveness.
• A Cyber-Physical-Social System is implemented for massive data processing.
• Statistical analysis and thematic maps shed new insights into attractiveness.
• Commercial centers are classified into four representative types in China.
摘要
•Commercial center is precisely defined geographically and sociologically.•Attractiveness degree is the proposed metric to evaluate the attractiveness.•A Cyber-Physical-Social System is implemented for massive data processing.•Statistical analysis and thematic maps shed new insights into attractiveness.•Commercial centers are classified into four representative types in China.
论文关键词：Urban commercial centers,Attractiveness evaluation,Attractiveness degree model,Cyber-physical-social system,Massive data analytics
论文评审过程：Received 13 April 2018, Revised 24 July 2018, Accepted 10 August 2018, Available online 11 August 2018, Version of Record 15 August 2019.
论文官网地址：https://doi.org/10.1016/j.chb.2018.08.019
