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Daytime Visual Walkability: A Systematic Review
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AI
DOI：10.1111/tgis.70249.png)
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Abstract
En 中文
The term walkability refers to the degree to which pedestrians are willing to walk along a street. However, walkability is a broad concept that includes various subcategories and assessment methods. In this article, we present a literature review on a less commonly studied aspect of walkability: Visual Walkability. Visual walkability refers to the walkability perceived by pedestrians through visual stimuli in the urban environment. With technological advancements, assessing walkability has become easier, shifting from field research to the increasing use of computer vision, particularly for analyzing visual elements. Here, we applied the PRISMA method, reviewed 63 articles, and summarized and compared the assessment methods, types of information, and explanatory variables used in these studies. We also highlight existing limitations in visual walkability research, such as the lack of validation of results, the limitations of car-oriented SVI services, and disagreements among researchers regarding the influence of certain variables. Finally, we suggest future directions for research, which may lead to further developments in the field of visual walkability.
Keywords:
built environment
deep learning
literature review
street view image
survey
visual walkability
Journal
T
IF:
2.3
Papers:
163
Citations:
2.9K