Suppr超能文献

视觉复杂性对用户感知安全和舒适的影响:斯里兰卡城市街景研究。

The impact of visual complexity on perceived safety and comfort of the users: A study on urban streetscape of Sri Lanka.

机构信息

Department of Architecture, Faculty of Architecture, University of Moratuwa, Moratuwa, Sri Lanka.

Faculty of Architecture, University of Moratuwa, Moratuwa, Sri Lanka.

出版信息

PLoS One. 2022 Aug 9;17(8):e0272074. doi: 10.1371/journal.pone.0272074. eCollection 2022.

Abstract

Increase in the variety of development in urban context has made it more complicated and complex for the users of public spaces. Absence of sufficient information to read the surrounding causes psychological anxiousness leading to perceived danger or discomfort for the urbanites. Consequently, perceived safety and comfort of the users is distinctively low in urban contexts, creating neglected and underused spaces. Complexity is one of the information processing variables as per Kaplan and Kaplan's informational model which helps users to comprehend the surrounding environment. The streetscape plays a vital role in the daily movement patterns within the urban cities and is the transition boundary between the public and private realms. Visual complexity of these streets is a result of different configurations of elements within the urban areas. This research is conducted to ascertain the relationship between visual complexity levels of the streets with the perceived safety and comfort of the users. Shannon Diversity Index (SDI) and Fractal dimension analysis were conducted with 48 SVIs (Street View Images) selected within 1km radius of Colpetty junction, Colombo Sri Lanka covering all the possible compositions found within the context. The visual index data extraction had identified ten major components within the selected 48 SVIs. 78 subjective ranking responses for perceived safety, comfort (preference) and perceived complexity were collected from snowball sampling. Findings of the study revealed that perceived safety levels and preference scores for the SVIs are related to the Shannon Diversity Index calculation in an inverted 'U' shape where the highest and lowest SDI values are related with low preference scores and low safety levels. The SVIs with medium SDI values are perceived as the safest and most preferred by the users of urban streets of Colombo Sri Lanka. The SDI and fractal dimension values were significantly correlated with the perceived complexity scores of the users. The results of this study can be accommodated in the planning and designing of urban streetscapes of tropical climates for sustainable and friendly urban expansions.

摘要

城市环境中发展的多样性增加,使得公共空间的使用者更加复杂和困难。由于缺乏足够的信息来了解周围环境,这会导致心理上的焦虑,从而使城市居民感到潜在的危险或不适。因此,城市环境中使用者的感知安全性和舒适度明显较低,导致空间被忽视和未充分利用。复杂性是卡普兰和卡普兰信息模型中的信息处理变量之一,它有助于用户理解周围环境。街景在城市日常运动模式中起着至关重要的作用,是公共和私人领域之间的过渡边界。这些街道的视觉复杂性是城市区域内元素不同配置的结果。本研究旨在确定街道的视觉复杂性水平与使用者的感知安全性和舒适度之间的关系。在所选取的半径为 1 公里的科特佩蒂路口的 48 个街景视图中进行了香农多样性指数(SDI)和分形维数分析,涵盖了该环境中可能存在的所有组成部分。视觉指数数据提取确定了在所选择的 48 个街景视图中发现的十个主要组成部分。从雪球抽样中收集了 78 条对感知安全、舒适(偏好)和感知复杂性的主观排名反馈。研究结果表明,感知安全水平和对街景的偏好评分与香农多样性指数计算呈倒“U”形相关,其中最高和最低 SDI 值与低偏好评分和低安全水平相关。SDI 值中等的街景被认为是科伦坡城市街道的使用者最安全和最受欢迎的。SDI 和分形维数与用户对感知复杂性的评分显著相关。本研究的结果可用于规划和设计热带气候下的城市街景,以实现可持续和友好的城市扩张。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f550/9362943/ffa7a9767982/pone.0272074.g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验