Exploring Sentiment Analysis and Visitor Satisfaction along Urban Liner Trails: A Case of the Seoul Trail, South Korea

Sumin Lee, Won Ji Chung and Chul Jeong ()
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Sumin Lee: The Tourism Sciences Society of Korea, Seoul 06150, Republic of Korea
Won Ji Chung: Department of Tourism, Hospitality and Event Management, University of Florida, Gainesville, FL 32603, USA
Chul Jeong: Division of Tourism Science, Hanyang University, Seoul 04763, Republic of Korea

Land, 2024, vol. 13, issue 9, 1-15

Abstract: Increasing public health awareness has stressed the significance of the mental and physical benefits of outdoor activities. Government involvement and support for urban redevelopment projects in Korea, such as Seoul Dulle-gil, connected previously disconnected green spaces. Despite the ecological and cultural importance of urban spaces, their impact on residents and tourists and their role in exploring the city’s dynamic remains limited. This study aims to evaluate how green space activities engage in sustainable land management and offer insights into surrounding communities. A quantitative big data research method was employed, analyzing 3995 online blog post reviews using Python code, and sentiment analysis conducted with pandas and KoNLPy’s Okt library. The results indicated that sentiment scores were generally higher in sections located south of the Han River. Among the eight trail courses, courses 6, 3, 4, and 5, located south of the Han River, exhibited higher sentiment scores compared to courses 7, 8, 2, and 1, located north of the Han River, which showed lower satisfaction levels. Among the 16 characteristics influencing visitor satisfaction, the study emphasized the importance of potential space maintenance to enhance trail user safety and community well-being, contributing to sustainable land management.

Keywords: trail; urban development; visitor satisfaction; sentiment analysis; sustainable management (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
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