Data underlying the manuscript: Investigating Rural Public Spaces with Cultural Significance using Morphological, Cognitive, and Behavioural Data
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This is the research data for the manuscript "Investigating Rural Public Spaces with Cultural Significance using Morphological, Cognitive, and Behavioural Data". The following is the original abstract:During the rural [re]vitalization process in China, national strategies required rural public spaces with cultural significance to be identified before planning decision-making. However, places perceived as significant by planners and visitors can differ from the ones mostly used and valued by locals. Even if there is a growing interest in integrating local perspectives and experiences in planning, studies seldom discuss and compare openly the adequacy of spatial configuration, cognition, and behaviour to support it. This study took Anyi Historic Village Cluster as a case study to empirically investigate rural public spaces with three distinct, yet related approaches: 1) Morphological: spatial network centralities based on space syntax; 2) Cognitive: Lynchian village images with semi-structured interviews; 3) Behavioural: spatiotemporal occupation patterns using Wi-Fi positioning tracking. Significant places respectively valued and used by locals and non-locals were detected with the multi-source data. Furthermore, multivariant regression models managed to characterize the relationship among different aspects of investigated rural public spaces, which also helped diagnose places of interest to prioritize in planning, demonstrating the advantage of integrating the sources of information in practice instead of studying them apart. Results can also assist rural planning on how to identify what to preserve, what to enhance, and how to benefit from development without overlooking the local needs or losing the rural identity.
本数据集支撑题为《基于形态学、认知与行为数据探究具有文化意义的乡村公共空间》（Investigating Rural Public Spaces with Cultural Significance using Morphological, Cognitive, and Behavioural Data）的学术手稿。以下为原稿摘要： 在中国乡村振兴进程中，国家战略要求规划决策前需先行识别具有文化意义的乡村公共空间。然而，规划者与游客眼中具备重要价值的场所，往往与当地居民实际使用并珍视的空间存在差异。尽管当前学界日益重视在规划实践中融入本土视角与在地经验，但鲜有研究公开探讨并对比空间配置、认知与行为维度的适配性，以支撑此类规划工作。 本研究以安义古村群（Anyi Historic Village Cluster）为研究案例，采用三种既相互独立又紧密关联的研究路径，对乡村公共空间开展实证探究：1）形态学路径：基于空间句法（space syntax）的空间网络中心性分析；2）认知路径：结合半结构化访谈的林奇式（Lynchian）村落意象研究；3）行为路径：利用Wi-Fi定位追踪（Wi-Fi positioning tracking）获取的时空使用模式数据。 通过多源数据，本研究识别出分别被本地居民与非本地居民所重视和使用的重要场所。此外，多元回归模型（multivariant regression models）成功刻画了所探究的乡村公共空间各维度间的关联关系，同时助力诊断规划中需优先关注的重点场所，证明了在实践中整合多源信息而非孤立研究各维度的优势。本研究结果还可为乡村规划提供决策参考，助力明确需保护、需优化的空间范畴，以及如何在推进乡村发展的同时兼顾本土需求，避免忽视在地诉求或丢失乡村地域特色。
