Construction and Evaluation of Rental Property Comfort Index by IoT Sensing

Abstract

When searching for a rental property, information such as rent, breadth, time to station and age of a building is used. These indicators are quantitative data and can be compared. However, some conditions such as quiet and sunny are often described in comments in the remarks column are difficult to compare because there is ambiguity in the state recognition of each property. Therefore, indices that can quantitatively evaluate noise and sunrise are required. We collected data using IoT devices, and based on the data, constructed five indices of quietness (indoor/outdoor), soundproofing, daylighting, and heat insulation that property searchers can compare. As a result of the evaluation with the cooperation of real estate agents, it was confirmed that four of the proposed indices except soundproofing were properly indexed.