Speaker
Description
The tourism development of traditional villages is not only an important part of driving local economic growth but also a powerful means of historical and cultural preservation and rural revitalization. In recent years, with the acceleration of China's economic development and urbanization, traditional villages have faced the dual challenge of modernization while also seizing unprecedented development opportunities. The tourism development of traditional villages plays a crucial role in cultural heritage preservation. Utilizing visitors' experiences in traditional villages to achieve historical and cultural inheritance under the support of the tourism economy is a vital way to protect and develop tourism-oriented traditional villages. During the development of tourism-oriented traditional villages, different development models have varying impacts on the functional configuration of village streets, alleys, traditional culture, and modern tourism, as well as on the spatial form it can accommodate, which in turn influences tourist behavior. Research from this perspective is a key component in achieving the above objectives.Existing studies mainly focus on the analysis of street and alley spaces and tourist behaviors under a single development model, lacking a comprehensive approach that considers the organizational relationship between traditional culture and modern tourism functions and forms within street and alley spaces under multiple development models in tourism-oriented traditional villages. This study uses Yuanjia Village in Shaanxi Province as a case study, examining street and alley spaces under three development models: village collective independent development, developer independent development, and village-enterprise cooperation development. It explores the correlation between the functional complexity and spatial diversity of street and alley spaces under these three development models and tourists' behavioral characteristics, such as walking speed, dwell time, and interaction modes.Regarding data collection, street and alley space elements are obtained through crawling POI (Point of Interest) data, field surveys, and scoring and categorizing 13 objective indicators of functional complexity and spatial diversity from both traditional cultural and modern tourism perspectives. Behavioral elements are recorded through fixed-location video filming, capturing tourists' walking speed, dwell time, and interaction modes, which contribute to the construction of a comprehensive subjective behavioral indicator. In data analysis, a multiple regression model is established to quantitatively analyze the strength of the relationship between street and alley space elements (traditional culture and modern tourism) and tourist behaviors under different development models. The study then uses the data to conduct a detailed analysis of the causes behind the relationships between street and alley space elements and tourist behavior, revealing the interactive dynamics.This research, using a systematic analysis framework of subject-object elements, fills the gap in the study of the organizational relationship and interactive mechanism between street and alley space and tourist behavior in a tourism-oriented traditional village under multiple development models. It further clarifies how the multi-model street and alley spaces of tourism-oriented traditional villages should be organized and coordinated to achieve cultural preservation based on tourism development. Methodologically, this study introduces a combination of video fixed-point filming and POI data crawling, enhancing the comprehensiveness and accuracy of data acquisition and providing a methodological reference for the study of space and behavior in tourism-oriented traditional villages.
References
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[4]Zhang, Z., Xu, G., Li, W., et al., 2019. The impact of micro-built environment of historical streets on tourists' walking and stopping behavior: A case study of Wudaoying Hutong in Beijing. Journal of Architecture, (03), pp.96-102.
[5]Liu, Y., Li, Z., Tian, Y., Gao, B., Wang, S., Qi, Y., Zou, Z., Li, X., & Wang, R., 2024. A study on identifying the spatial characteristic factors of traditional streets based on visitor perception: Yuanjia Village, Shaanxi Province. Buildings, 14(6), p.1815.
| Keywords | Tourist Behavior；Street Space；Cooperative Shareholding System；Development Models；Yuanjia Village |
|---|---|
| Best Congress Paper Award | Yes |
