Building Recognizability in Urban Environments

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dc.contributor.advisorChun, Yongwan
dc.creatorTsang, Yuen Ting Yolanda
dc.date.accessioned2019-09-23T23:47:43Z
dc.date.available2019-09-23T23:47:43Z
dc.date.created2019-05
dc.date.issued2019-05
dc.date.submittedMay 2019
dc.date.updated2019-09-23T23:49:52Z
dc.description.abstractOne of the main scopes of geospatial information sciences is providing the necessary tools and techniques to better understand the interaction between humans and their surrounding environments. As the recognition of buildings in an environment leads to the interaction between human and their surroundings, it can be also studied through the lens of geospatial information sciences. This paper uses a quantitative survey and regression analysis to demonstrate a quantitative approach to predict factors that influence visual recognition or recognizability of buildings in an urban environment. Distance away from buildings, presence of vegetation, frequent downtown visits, and physical forms of buildings contribute significantly to the visual recognition of urban buildings. The result can be beneficial to urban planners, architects, city planners, urban geographers, and city tourism board for better integrating vegetation and buildings in a cityscape. The ultimate goal of understanding people’s visual recognition and perception of urban objects is to raise inhabitant’s satisfaction, capture their attention, and make strong impressions towards the city.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/10735.1/6877
dc.language.isoen
dc.rights©2019 Yuen Ting Yolanda Tsang
dc.subjectUrban geography
dc.subjectBuildings
dc.subjectArchitecture—Aesthetics
dc.subjectGeometry in architecture
dc.subjectVisual perception
dc.subjectRegression analysis
dc.subjectGeospatial data
dc.subjectGeographic information systems
dc.titleBuilding Recognizability in Urban Environments
dc.typeDissertation
dc.type.materialtext
thesis.degree.departmentGeospatial Information Sciences
thesis.degree.grantorThe University of Texas at Dallas
thesis.degree.levelDoctoral
thesis.degree.namePHD

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