Research on Night Tourism Experience Scene Elements of Yangshuo West Street Based on UGC Data
- DOI
- 10.2991/978-94-6463-886-8_20How to use a DOI?
- Keywords
- UGC Data; Yangshuo West Street; Night Tourism Experience; Grounded Theory; Scene Theory
- Abstract
Addressing the research gap in systematic deconstruction of night tourism experience elements, particularly using UGC data, this study investigates Yangshuo West Street, a national night culture and tourism cluster. Methodologically, it innovatively integrates UGC data mining, grounded theory, and social network analysis. Key results reveal: (1) A hierarchical structure of scene elements, identifying eight core elements (e.g., leisure/entertainment, centrality 0.283; dining symbols, 0.271) alongside secondary supports and peripheral elements; (2) A distinct bimodal “positive-negative” sentiment pattern in tourist experiences (52.3% positive, 14.6% negative), driven by cultural immersion/cost-effectiveness and price distrust/homogenization respectively. Theoretical contributions include constructing a “Scene Composition-Scene Experience” model integrating scene and tourism experience theory. Practical contributions propose a progressive optimization path (“Element-Scene-Governance”) for enhancing sustainable night tourism in Yangshuo West Street and similar historic districts.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Wenjing Quan PY - 2025 DA - 2025/11/06 TI - Research on Night Tourism Experience Scene Elements of Yangshuo West Street Based on UGC Data BT - Proceedings of the 5th International Conference on Internet Finance and Digital Economy (ICIFDE 2025) PB - Atlantis Press SP - 202 EP - 211 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-886-8_20 DO - 10.2991/978-94-6463-886-8_20 ID - Quan2025 ER -