Abstract
In this study, we developed a forecast model using person trip data and commercial statistics data to analyze the effect of traffic demand to retail sales. According to the results of analysis, we found a positive correlation between "centralized traffic" and "commercial sales", in addition, the impact on retail sales differs depending on trip purpose and mode. Furthermore, we conducted a sensibility analysis to develop the forecast model. According to that analysis, we found that the retail sales are affected by changes of mode share.