インスタグラムの分析を通じた雨への感性の抽出と空間デザインにおけるその活用可能性に関する一考察

抄録

The purpose of this paper is to extract Kansei to rain and to derive a conceptual model for designing spaces that incorporate rain as a component. In order to achieve this purpose, we analyzed Instagram posts using a text mining method. First, we analyzed the co-occurrence of nouns and adjectives in all posts mentioning rain. Next, we conducted correspondence analysis to analyze the characteristic words related to rain in each season. Finally, a conceptual model for the spatial design of rain was proposed by adding theoretical considerations. This conceptual model allows us to understand relationship between spatial scales, phenomenon caused by rain, and activities in rain. This model is useful for designing architecture, green spaces, and landscapes that incorporate rain.