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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Tingting Ding & Wenzhuo Sun & Yuan Wang & Rui Yu & Xiaoyu Ge, 2022. "Comparative Evaluation of Mountain Landscapes in Beijing Based on Social Media Data," Land, MDPI, vol. 11(10), pages 1-30, October.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:10:p:1841-:d:947145
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    References listed on IDEAS

    as
    1. Chen, Pin-Zheng & Liu, Wan-Yu, 2019. "Assessing management performance of the national forest park using impact range-performance analysis and impact-asymmetry analysis," Forest Policy and Economics, Elsevier, vol. 104(C), pages 121-138.
    2. Estela Marine-Roig, 2019. "Destination Image Analytics Through Traveller-Generated Content," Sustainability, MDPI, vol. 11(12), pages 1-23, June.
    3. Sever, Ivan, 2015. "Importance-performance analysis: A valid management tool?," Tourism Management, Elsevier, vol. 48(C), pages 43-53.
    4. Do, Yuno, 2019. "Valuating aesthetic benefits of cultural ecosystem services using conservation culturomics," Ecosystem Services, Elsevier, vol. 36(C), pages 1-1.
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    Cited by:

    1. Fan Liu & Danmei Sun & Yanqin Zhang & Shaoping Hong & Minhua Wang & Jianwen Dong & Chen Yan & Qin Yang, 2022. "Tourist Landscape Preferences in a Historic Block Based on Spatiotemporal Big Data—A Case Study of Fuzhou, China," IJERPH, MDPI, vol. 20(1), pages 1-20, December.

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