Chae, J.; Park, J.; Kim, S. Restorative Environment Characteristics of an Urban Forest Based on Big Data Analytics. Forests2023, 14, 1770.
Chae, J.; Park, J.; Kim, S. Restorative Environment Characteristics of an Urban Forest Based on Big Data Analytics. Forests 2023, 14, 1770.
Chae, J.; Park, J.; Kim, S. Restorative Environment Characteristics of an Urban Forest Based on Big Data Analytics. Forests2023, 14, 1770.
Chae, J.; Park, J.; Kim, S. Restorative Environment Characteristics of an Urban Forest Based on Big Data Analytics. Forests 2023, 14, 1770.
Abstract
Since the COVID-19 pandemic, urban forest mountains have become important restorative environmental spaces, and demand-customized management based on users’ experiences is needed. We collected 21,557 data points from blogs from January 2020 to December 2021. For data analysis, keyword frequency, term frequency-inverse document frequency, and sentiment analyses were conducted using TEXTOM 4.0, and a semantic linkage network was established and analyzed using Gephi 0.92. In the analyses, the restorative environment components of “being away” “fascination,” “extent,” and “compatibility” were derived from users’ experiences. Fascination, which stems from natural objects such as rocks, valleys, and trails, was derived the most frequently, and being away and compatibility, representing leisure activities such as climbing and walking, formed the largest cluster in cluster analysis. Sentiment analysis revealed a high positive word rate of 91.6%, with favorable feelings accounting for 87.5%, whereas the proportions of joy and interest (12.5%) were relatively low. This study showed that leisure activities related to nature objects had a positive impact. However, joy and interest, which correspond to vitality, were relatively lacking in the restorative experience. To improve restorative experience quality, diversification of leisure activities should be promoted and customized management plans corresponding to restorative environment components developed.
Environmental and Earth Sciences, Environmental Science
Copyright:
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