of Starbucks (and coffee shops more generally) into a neighborhood predicts gentrification. Each additional Starbucks …

measures of neighborhood appearance. Here, we introduce a computer vision method to quantify change in physical appearance of …. We find that the strongest predictors of improvement in a neighborhood's physical appearance are population density and … monthly rent, do not predict improvement in physical appearance. We also find that neighborhood appearances converge to the …

measures of neighborhood appearance. Here, we introduce a computer vision method to quantify change in physical appearance of …. We find that the strongest predictors of improvement in a neighborhood's physical appearance are population density and … monthly rent, do not predict improvement in physical appearance. We also find that neighborhood appearances converge to the …

average adult. Even when comparing students and adults living in the same neighborhood, exposure to devices associated with a …

of Starbucks (and coffee shops more generally) into a neighborhood predicts gentrification. Each additional Starbucks …

to landlords and can therefore be offset with targeted transfers, but the destruction of neighborhood character can - in … seem to reflect the global impact of electronic commerce more than the replacement of idiosyncratic neighborhood services …