Urban Mosaic: Visual Exploration of Streetscapes Using Large-Scale Image Data

要旨

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.

キーワード
Urban planning
Interactive visualization
Data analysis
Urban data
著者
Fabio Miranda
New York University, New York City, NY, USA
Maryam Hosseini
Rutgers University, New Brunswick, NJ, USA
Marcos Lage
Universidade Federal Fluminense, Niteroi, Brazil
Harish Doraiswamy
New York University, New York, NY, USA
Graham Dove
New York University, New York, NY, USA
Cláudio T. Silva
New York University, New York City, NY, USA
DOI

10.1145/3313831.3376399

論文URL

https://doi.org/10.1145/3313831.3376399

動画

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)

セッション: Ubiquitous, smelly & immersive visualization

Paper session
316A MAUI
5 件の発表
2020-04-30 01:00:00
2020-04-30 02:15:00
日本語まとめ
読み込み中…