Speaker
Description
In the post-pandemic era, global urban tourism preferences are shifting towards more immersive experiences that emphasize deeper cultural engagement. Exploring local culture through walking or cycling has emerged as a trend that redefines urban tourism competition and service development priorities.
This study focuses on Xi'an, an ancient metropolis renowned for its rich history, to explore innovative methods for constructing city-specific tourist pathways. Leveraging social media data, we analyze visitor preferences and behaviors to refine traditional route-planning techniques. Our research provides strategic recommendations for enhancing central urban tourism routes and characteristic street renovations, serving as a decision-support tool for high-density urban recreational network planning.
We established a comprehensive framework integrating network identification, scenario planning, and benefit assessment. This approach involved selecting various levels of leisure resources, identifying potential recreational networks using cost connectivity models, and proposing three scenarios—baseline, optimized, and ideal. Each scenario was evaluated quantitatively across dimensions of travel convenience, resource connectivity, and service coverage.
The results reveal a multi-tiered, integrated trail system complemented by systematic strategies for developing culturally distinctive tourist routes. Utilizing social media data enhances tourists' appreciation of urban culture and broadens the scope of urban trail research. Incorporating both qualitative insights and quantitative analysis, this study not only underscores the importance of scientific evidence in guiding urban renewal efforts but also provides a reference for enhancing urban livability while protecting the city's cultural heritage.
| Keywords | Urban Trail Construction; Sustainable Urban Tourism; Multi-Criteria Route (MCR) Model |
|---|---|
| Best Congress Paper Award | No |
