Comparative Evaluation of Mountain Landscapes in Beijing Based on Social Media Data

Tingting Ding, Wenzhuo Sun, Yuan Wang, Rui Yu and Xiaoyu Ge ()
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Tingting Ding: School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China
Wenzhuo Sun: School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China
Yuan Wang: School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China
Rui Yu: School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China
Xiaoyu Ge: School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China

Land, 2022, vol. 11, issue 10, 1-30

Abstract: An important part of Beijing’s ecological pattern, mountain landscapes are also the most important natural tourist destinations in Beijing. The unique mountain environment in Taihang and Yan Mountains attracts Beijing and foreign tourists alike. Tourists publish travel photos and comments on social media, which provides a new opportunity for a systematic evaluation of these mountain parks based on social media data. To fully understand the developmental status of mountain landscapes in Beijing, this paper comparatively evaluates 45 mountain landscapes in Beijing based on social media data. Using big data capture, semantic network analysis, importance-performance analysis (IPA), etc., it explores the composition of tourist groups in mountain parks, the preferences of the tourist groups, and the relationships between park tourists and different influencing factors, and evaluates the recreational experiences of tourist groups. The development of recreational activities was found to be more important to local tourists than scenic sites for foreign tourists. According to gender differences, women were more interested in recreational experiences than men, while men were more interested in the park’s landscapes. According to the IPA, tourists were satisfied with the overall recreation offered by mountain landscapes. The perceptual experience was dominated by visual perception, followed by smell; touch, hearing, and taste were of minor importance. Using social media data to analyze mountain landscape resources in Beijing can provide useful insights into the advantages of these landscapes under a variety of site conditions, strengthen local mountain resource development and tourism publicity, integrate tourism management and planning resources in a targeted and attractive manner, and enhance ecological leisure services.

Keywords: mountain landscape; perceived destination image; social media data; Beijing; China; social media data; text analysis; important-performance analysis (IPA); tourism sustainability (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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