Authors: Yuen Tsang*, Tarleton State University
Topics: Urban Geography, Urban and Regional Planning, Environmental Perception
Keywords: Environmental Perception, Human-environment geography, Urban Data, Urban Planning, Urban Geography, Urban Design, Human perception, Spatial statistics, Regression Analysis
Session Type: Poster
Start / End Time: 3:20 PM / 4:35 PM
Room: Virtual Track 3
Presentation File: No File Uploaded
One 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 spatial statistical 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.