2026-10-14T13:12:35Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33992896 2026-09-25T05:18:44Z category_15 category_19 category_45 category_122 portal_87 item_type_3 month_year_09_2026

What really draws me: attractions, experience and making of internet-famous tourism cities Fangyuan Lu (20676173) Chen Zhang (66790) Min Zhuang (218356) Xia Wang (36364) Honglei Zhang (1685428) Neuroscience Pharmacology Sociology Mental Health Jinyan Chen Destination attractiveness Internet-famous tourism cities deep learning text mining destination marketing tourist experience <p>Internet-famous tourism cities have emerged as a new tourism phenomenon in the digital media era, reflecting changing tourist demands. This study takes three representative internet-famous tourism cities in China, namely Nanjing, Harbin, and Zibo, as cases. Based on large-scale tourist review data, it adopts an attention-enhanced CNN–BiLSTM architecture to develop a multi-level framework for analyzing urban tourism attractiveness. The findings reveal a common Attraction–Experience Mechanism (AEM) underlying urban tourism attractiveness. Rather than being a direct outcome of objective resources, tourism attractiveness emerges relationally as attraction elements are transformed through tourists’ experiences. Differences in how these elements are configured give rise to multiple pathways of attractiveness formation. These findings go beyond the limits of traditional resource determinism, reveal the core logic of contemporary urban tourism attractiveness, and offer insights for enhancing urban competitiveness and promoting sustainable development.</p> 2026-09-25T05:18:44Z Dataset Dataset 10.6084/m9.figshare.33992896.v1 https://figshare.com/articles/dataset/What_really_draws_me_attractions_experience_and_making_of_internet-famous_tourism_cities/33992896 CC BY 4.0