Computer vision uncovers predictors of physical urban change

Proceedings of the National Academy of Sciences of the United States of America

Volumn 114, Issue 29, 2017, Pages 7571-7576

  Naik, Nikhil ^a,b   Kominers, Scott Duke ^a,c,d,e,f,g   Raskar, Ramesh ^b   Glaeser, Edward L ^e,g,h   Hidalgo, César A ^b  

^a HARVARD UNIVERSITY   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^c HARVARD UNIVERSITY   (United States)

^d HARVARD BUSINESS SCHOOL   (United States)

^e HARVARD UNIVERSITY   (United States)

^f HARVARD UNIVERSITY   (United States)

^g NATIONAL BUREAU OF ECONOMIC RESEARCH   (United States)

^h HARVARD UNIVERSITY   (United States)

Author keywords

Computer vision; Gentrification; Neighborhood effects; Urban economics; Urban studies

Indexed keywords

ARTICLE; COMPUTER; CROWDSOURCING; NEIGHBORHOOD; PHYSICAL APPEARANCE; POPULATION DENSITY; PREDICTION; PRIORITY JOURNAL; QUANTITATIVE STUDY; SOCIOLOGY; TIME SERIES ANALYSIS; URBAN AREA; ADULT; CITY; COMPUTER VISION; DEMOGRAPHY; ECONOMICS; FEMALE; HUMAN; HUMAN EXPERIMENT; IMAGERY; MALE;

EID: 85024390616     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1619003114     Document Type: Article

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