Proposition of real estate rent estimation system for restaurant by using traffic sensor

Abstract

In this paper, we describe a real estate rent estimation system for restaurant. The traditional real estate market in Japan, the decision of rents for restaurant has been made by veteran salespeople based on their tacit knowledge that made from cultivated intuition and experience. However, the conversion to explicit knowledge (expression) has become an issue when carrying on into other salespeople. Therefore, the evidence-based rent estimation system is needed to assist salesepeople. We proposed the system that considered static information on locational conditions and dynamic information such as traffic around the store. We have developed a sensing system for obtaioning the sense of traffic volume.