Presentation Information
[E3-03]Exploring Consumer Behavior in Tokyo based on Mobility Data: Development of a New Shopping Center
*Luyao LIU1, Jue MA2, Yanbo PANG2, Yuya SHIBUYA2, Yoshihide SEKIMOTO2 (1. The Department of Socio-Cultural Environmental Studies, The University of Tokyo, 2. Center for Spatial Information Science, The University of Tokyo)
Keywords:
Consumer behavior,Shopping center,People flow simulation,Agent-based model,Tokyo 23 wards
Rapid changes in urban environments and consumer behavior necessitate big data analysis for shopping center (SC) development. This helps to understand consumer preferences and behavior patterns, aiding commercial development. However, current research using real-time foot traffic data is coarse and does not fully account for influencing factors. And public models have low applicability due to data complexity. Tokyo's numerous and diverse physical SCs attract various consumers, providing a case study for consumer behavior across different groups. Therefore, we tried to identify key SC attributes and their impacts, and to test example scenarios for the development of a new SC in Tokyo 23 wards. We created proxies for personal attributes, used a Markov model to generate daily activities data, incorporated physical and commercial SC data and AgoopData to extract behavior attributes, and built an agent-based model to simulate people flow under different scenarios.