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城市建筑窗景国际研究现状分析与展望
杨超1, 付本臣2, 马源鸿3
1.深圳大学建筑与城市规划学院,博士研究生;2.(通讯作者):深圳大学建筑与城市规划学院,教授、博士生导师, fubenchen@szu.edu.cn;3.深圳大学建筑与城市规划学院,助理教授
摘要:
高质量的窗户景观对于室内人群 公共健康状况有着重要影响。研究基于文 献检索和筛选, 系统总结梳理了Web of Science(WOS)核心数据库中有关窗景研 究的96 篇英文文献。结果显示:第一,在研 究场景与被试方面,对居住建筑及办公建筑 的讨论最为广泛,被试群体则集中于在校学 生和公司职员;第二,在研究内容方面,主 要分为健康维度下的窗景疗愈效益、感知偏 好、生产绩效与行为影响研究以及品质测度 维度下的窗景视图内容、视图可见性和视图 清晰度评估;第三,在应用技术方面,聚焦 于数字影像播放、实景布置、仿真模拟、在 线调查和实地考察等方式进行试验。最后针 对研究不足,从拓展高层、高密度场景下的 多元人群与窗景的互动和联系,加强受测群 体的长期跟踪与评估;深化窗景与健康关联 间的影响机制研究,扩展多感官状态下的实 验设计等方面提出展望。
关键词:  窗户景观  视觉感知  公共健康  视野质量
DOI:10.13791/j.cnki.hsfwest.20240429005
分类号:
基金项目:十四五国家重点研发计划(2023YFC3807403);深圳大学研究生自主创新成果培育项目(868-000002020236);国家自然科学基金面上项目(52278026);深 圳市高等院校稳定支持计划(20220810151038001)
International research review and future prospects of urban architectural window view
YANG Chao,FU Benchen,MA Yuanhong
Abstract:
High-quality window views have a significant impact on the public health of indoor occupants. Window views from an indoor perspective are typically characterized by a composition of features that include natural elements such as greenery, sky, and water, alongside artificial elements such as urban streets, buildings, and vehicles. The study of window views enables urban planners to re-evaluate the interactive spatial arrangements and the spatial interpenetration between artificial and natural environmental elements within urban spaces from a new perspective. The research is based on a comprehensive review and selection of literature, systematically analyzing 96 English publications from the Web of Science (WOS) core collection database. This article summarizes the research content and methodologies, revealing patterns and distributions in the international study of urban building window views, and providing valuable references and insights for future research. The results indicate that in terms of current design standards and guidelines, relevant frameworks are primarily initiated and developed by developed countries such as the United Kingdom and the United States. These frameworks are often integrated into building daylighting and energy performance assessment systems but fail to provide systematic and comprehensive quantifiable indicators to guide window view design. In terms of research settings and participant selection, discussions most frequently focus on window views at the small scale of individual buildings, particularly in low-rise and mid-rise residential and office buildings. However, high-rise and super high-rise buildings have received comparatively less attention in existing studies. Participant groups are predominantly university students, with limited consideration for diverse populations, and some experiments face challenges such as insufficient exposure durations for participants. In terms of research content, studies primarily focus on two dimensions: the health-related impacts of window views and the quantitative assessment of window view quality. Within the health dimension, existing research explores the relationships between window view characteristics such as emotional states, visual preferences, productivity, and behavior. Regarding quality assessment, studies concentrate on aspects like types of window view features, field of view, and clarity indicators, but relevant studies only partially address the complex interactions among windows, indoor and outdoor conditions, and occupants. In terms of applied techniques, research on the health benefits of window views primarily relies on methods such as laboratory simulations, online surveys, and field studies to construct scenarios. The assessment of window view quality focuses on traditional approaches like manual photo scoring and questionnaire evaluations. However, there is a notable lack of large-scale and continuous studies on urban window view quality. Finally, to address the identified research gaps, three future research directions are proposed. Regarding research settings and participant groups, future studies should expand the exploration of interactions and relationships between diverse populations and window views across various building types. Emphasis should be placed on advancing complex urban studies within the context of high-rise, high-density environments. Additionally, it is essential to strengthen long-term tracking and evaluation of participant groups, conducting longitudinal studies to examine the dynamic effects of window view characteristics on human perception. Such research should also explore planning and design strategies to maximize thebenefits of window view utilization. Regarding research content, further investigation is needed into the mechanisms underlying the relationship between window views and health outcomes. Moreover, experimental designs should be expanded to incorporate multi-sensory conditions for a more comprehensive understanding of these interactions. The mediating effects of window views on psychological benefits for individuals remain unclear. Future research should integrate multi-sensory conditions to further explore the interactions among various visual characteristics of window views. Additionally, pathways of psychological benefits under different combinations of view characteristics should be analyzed to deepen understanding in this area. In the development of evaluation systems and standards for window views, it is crucial to integrate the combined impacts of view content, view visibility, and view clarity. These factors should be systematically analyzed and incorporated into a framework that employs graded and categorized weighted calculations based on the functional attributes of buildings. By adopting this approach, window view quality can be effectively quantified across varying scenarios and scales, providing a standardized methodology to assess and compare window view characteristics in diverse architectural contexts. In terms of applied techniques, it is essential to enhance the precision of digital model construction, integrating the effects of complex environmental factors such as indoor and outdoor lighting optimization and seasonal landscape changes. Future studies should focus on developing advanced image editing algorithms capable of simulating variations in weather and seasonal conditions. Furthermore, efforts should be made to improve the fidelity of digital models in representing environmental variables, including architectural facade details, traffic flow, and greenery characteristics. Such advancements would significantly enhance the applicability of digital models for evaluating window views in dynamic and context-sensitive scenarios.
Key words:  window view  visual perception  public health  visual quality