【论文分享】街景感知如何影响遗产旅游体验:以澳门历史商业区为例

引用格式：

Hu, X., Pan, L., & Han, D. (2026). How Streetscape Perception Shapes Heritage Tourism Experience: A Case Study of Macao’s Historic Commercial District. Sage Open, 16(4). https://doi.org/10.1177/21582440261494887

摘要：

Understanding how multi-level perceptual layers shape streetscape preference in historic commercial districts remains limited. By selecting Macao’s Rua dos Mercadores and Rua de Cinco de Outubro—two historic commercial streets sharing a deeply intertwined historical lineage and structural positioning within this heritage city—this study examines the relative roles of macro-streetscape perception and user identity. Crucially, based on the macro-level comparison of the two streets, Rua dos Mercadores was identified as a more promising baseline case for a subsequent, micro-level shopfront façade evaluation. Based on 296 valid questionnaires, paired comparisons, ordinal logistic generalized estimating equations (GEE), and Gaussian GEE sensitivity analyses were conducted. The results reveal a notable contrast between perceived visual order and stated preference: Rua de Cinco de Outubro scored higher in coherence and coordination, yet Rua dos Mercadores achieved significantly higher overall preference, demonstrating that visual order alone cannot explain streetscape evaluation. GEE modeling indicates that street type, resident status, and their interaction significantly affect preference, with exploratory appeal acting as a robust street-level correlate. Conversely, the micro-level analysis of Rua dos Mercadores reveals that façade attributes function primarily as supplementary visual cues rather than independent drivers of street preference. Ultimately, streetscape preference is co-produced through macro-level spatial exploration, user identity, and local façade cues.

目前，人们对多层次感知如何影响历史商业区街景偏好的理解仍然有限。本研究选取澳门的营地大街（Rua dos Mercadores）和十月初五日街（Rua de Cinco de Outubro）——两条历史悠久的商业街，它们在澳门这座历史名城中有着紧密的历史渊源和结构定位——来考察宏观街景感知和用户身份的相对作用。关键在于，基于对两条街道的宏观比较，商贸街被确定为后续微观层面店铺立面评估的更佳基准案例。基于296份有效问卷，本研究进行了配对比较、序数逻辑广义估计方程（GEE）和高斯GEE敏感性分析。结果显示，感知到的视觉秩序与实际偏好之间存在显著差异：十月初五日街在连贯性和协调性方面得分更高，但商贸街的总体偏好度却显著更高，这表明仅凭视觉秩序无法解释街景评价。 GEE模型表明，街道类型、居民身份及其相互作用显著影响偏好，其中探索性吸引力是街道层面的一个重要相关因素。相反，对Rua dos Mercadores街的微观分析表明，立面属性主要作为辅助视觉线索，而非街道偏好的独立驱动因素。最终，街景偏好是由宏观层面的空间探索、用户身份和局部立面线索共同决定的。

文章插图：

往期回顾

（点击蓝字可转跳阅读）

【论文推介】参数化景观视线分析方法及应用研究——以澳门为例

【论文推介】江南水乡流域传统聚落的空间基因识别与图谱构建——以楠溪江流域屿北村为例

【论文推介】基于人文关怀视角的事件建筑设计研究——以广州紫泥堂艺术小镇“圆屋”为例

【论文推介】明代闽北中日货币流通：武夷新区旗盘山遗址明清墓葬出土铜钱的线索 Circulation of Chinese and Japanese Currencies in Northern Fujian during the Ming and Qing Dynasties: Clue from  Copper Coins unearthed from the Qipanshan Site in Wuyi New District

【论文推介】岛屿城市殖民空间形态演变：以东帝汶帝力市为例 Morphology Evolution of Colonial Space in Island Cities: A Case Study in the City, Timor-Leste

【论文推介】基于YOLOv4的文化旅游潜力区的智能挖掘方法: 以澳门为例 Intelligent approach to mining cultural tourism potential areas based on YOLOv4: insights from Macau

【论文推介】基于参数化的海岛城市历史街区空间形态智能生成研究：以澳门氹仔旧城区为例 Research on the Intelligent Generation of the Spatial Form of the Island City Historic District Based on parameterization, take Macau Taipa Village as an example

【论文推介】澳门鲍思高别墅铁牌的材料和涂料的实验分析研究 Analysis of the Material and Coating of the Nameplate of Vila D. Bosco in Macau

【论文推介】基于YOLOv4的广东大阶砖自动检测和识别方法：以澳门为例 Automatic Detection and Recognition Method of Chinese Clay Tiles Based on YOLOv4: A Case Study in Macau

【论文推介】基于机器学习的高密度城市风环境对COVID-19分布的影响：以澳门为例 The Impact of High-Density Urban Wind Environments on the Distribution of COVID-19 Based on Machine Learning: A Case Study of Macau

【论文推介】基于机器学习揭示城市形态对COVID-19的影响——以澳门为例 Revealing the Impact of Urban Form on COVID-19 Based on Machine Learning: Taking Macau as an Example

【论文推介】缘起、发展与衍变：澳门石敢当行台场所营造及文化动因 Origin, development and evolution: the space construction and cultural motivations of Shi Gandang temple in Macau

【论文推介】澳门传统中式建筑青砖墙面损伤检测：基于YOLOv8的损伤量化和热力图分析方法研究 Gray Brick Wall Surface Damage Detection of Traditional Chinese Buildings in Macau: Damage Quantification and Thermodynamic Analysis Method via YOLOv8 Technology

【论文推介】基于机器学习的青砖传统建筑损毁类型识别——以澳门世界遗产缓冲区为例 Recognition of Damage Types of Chinese Gray-Brick Ancient Buildings Based on Machine Learning—Taking the Macau World Heritage Buffer Zone as an Example

【论文推介】CGAN辅助博物馆建筑展厅平面图设计方法研究 The Floor Plan Design Method of Exhibition Halls in CGAN-Assisted Museum Architecture

【论文推介】CGAN辅助街道立面风貌整治——以中国福建武夷地区为例CGAN-Assisted Renovation of the Styles and Features of Street Facades—A Case Study of the Wuyi Area in Fujian, China

有缘待续

下

期

再

会