Urban Mosaic: Visual Exploration of Streetscapes Using Large-Scale Image Data
August 31, 2020 Β· Declared Dead Β· π International Conference on Human Factors in Computing Systems
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Authors
Fabio Miranda, Maryam Hosseini, Marcos Lage, Harish Doraiswamy, Graham Dove, Claudio T. Silva
arXiv ID
2008.13321
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.CY
Citations
39
Venue
International Conference on Human Factors in Computing Systems
Last Checked
3 months ago
Abstract
Urban planning is increasingly data driven, yet the challenge of designing with data at a city scale and remaining sensitive to the impact at a human scale is as important today as it was for Jane Jacobs. We address this challenge with Urban Mosaic,a tool for exploring the urban fabric through a spatially and temporally dense data set of 7.7 million street-level images from New York City, captured over the period of a year. Working in collaboration with professional practitioners, we use Urban Mosaic to investigate questions of accessibility and mobility, and preservation and retrofitting. In doing so, we demonstrate how tools such as this might provide a bridge between the city and the street, by supporting activities such as visual comparison of geographically distant neighborhoods,and temporal analysis of unfolding urban development.
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