传统乡村旅游空间的保护与更新研究:基于游客重游意向的视角

IF 10 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Huanchen Tang, Xiaodong Liu, Junjie Li, Hanyu Wang
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引用次数: 0

摘要

传统村落是中国乡村旅游发展的基础载体。了解游客对传统村落的回访意向及其影响因素,对于乡村空间的科学规划和乡村旅游的可持续发展具有重要意义。本研究创新性地构建了一种新的混合分析方法,将潜在狄利克雷分配(LDA)、结构方程建模(SEM)和基于深度学习的人工神经网络(ANN)相结合。该方法克服了传统方法的解释局限性,并首次实现了文本情感分析、潜在变量关系验证和非线性模式解释的协同应用。提出了传统村落的四维驱动机制:“空间布局-建筑特色-建筑美学-文化体验”。基于苏州3个代表性村落的游客调查,SEM和ANN结果表明,村落布局格局(LP)、建筑特色(AC)、建筑美学(AA)和文化体验(CE)对游客重游意愿(RI)有显著的正向影响。此外,旅游者的积极态度对其重游意向的形成起中介作用。此外,根据多层感知机分析得出的标准化重要性,AC被确定为最关键的预测因子(100%),其次是PA (71.207%), AA (52.632%), LP(43.963%)和CE(42.105%)。在此基础上,提出了协调空间布局、优化建筑特色、提升游客积极态度的策略建议。这些策略旨在提高村庄的土地利用效率,促进游客对传统村庄的更深层次的参与,并增强文化体验和重新访问的意愿。最终,这些措施有助于优化以旅游为导向的传统村庄的景观,解决农村可持续发展的当代挑战。本研究不仅为乡村旅游开发提供了新的理论视角,也为传统村落的适应性再利用与振兴提供了实践指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study on the conservation and renewal of traditional rural tourism spaces: A perspective based on tourists' revisit intention
Traditional villages serve as a fundamental vehicle for rural tourism development in China. Understanding tourists' revisit intentions to traditional villages and their influencing factors is of great significance for the scientific planning of rural spaces and the sustainable development of rural tourism. This study innovatively constructs a novel hybrid analytical approach that integrates Latent Dirichlet Allocation (LDA), Structural Equation Modeling (SEM), and deep learning-based Artificial Neural Networks (ANN). This approach overcomes the explanatory limitations of traditional methods and, for the first time, enables the synergistic application of text sentiment analysis, latent variable relationship validation, and nonlinear pattern interpretation. The study proposes a four-dimensional driving mechanism for traditional villages: "spatial layout–architectural characteristics–architectural aesthetics–cultural experience." Based on a tourist survey conducted in three representative villages in Suzhou, China, the results from SEM and ANN indicate that village layout pattern (LP), architectural characteristics (AC), architectural aesthetics (AA), and cultural experience (CE) exert significant positive effects on tourists' revisit intention (RI). Moreover, tourists' positive attitude (PA) plays a mediating role in shaping their revisit intention. Furthermore, according to the standardized importance derived from the multilayer perceptron analysis, AC was identified as the most critical predictor (100%), followed by PA (71.207%), AA (52.632%), LP (43.963%), and CE (42.105%). Based on these findings, the study proposes three strategic recommendations: coordinating spatial layout, optimizing architectural characteristics, and enhancing tourists' positive attitudes. These strategies aim to improve land use efficiency in villages, foster deeper tourist engagement with traditional villages, and enhance cultural experiences and revisit intentions. Ultimately, these measures contribute to optimizing the landscape of tourism-oriented traditional villages, addressing contemporary challenges in sustainable rural development. This research not only provides a novel theoretical perspective for rural tourism development but also offers practical guidance for the adaptive reuse and revitalization of traditional villages.
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来源期刊
Journal of Cleaner Production
Journal of Cleaner Production 环境科学-工程:环境
CiteScore
20.40
自引率
9.00%
发文量
4720
审稿时长
111 days
期刊介绍: The Journal of Cleaner Production is an international, transdisciplinary journal that addresses and discusses theoretical and practical Cleaner Production, Environmental, and Sustainability issues. It aims to help societies become more sustainable by focusing on the concept of 'Cleaner Production', which aims at preventing waste production and increasing efficiencies in energy, water, resources, and human capital use. The journal serves as a platform for corporations, governments, education institutions, regions, and societies to engage in discussions and research related to Cleaner Production, environmental, and sustainability practices.
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