We harness big data to detect prime locations - large clusters of knowledge-based tradable services - in 125 global cities and track changes in the within-city geography of prime service jobs over a century. Historically smaller cities that did not develop early public transit networks are less...

We harness big data to detect prime locations—large clusters of knowledge-based tradable services—in 125 global cities and track changes in the within-city geography of prime service jobs over a century. Historically smaller cities that did not develop early public transit networks are less...

I define a composite amenity that provides aesthetic and consumption value to local residents: Urbanity. A novel data set of geo-tagged photos shared in internet communities serves as a proxy for urbanity. From the spatial pattern of house prices and photos I identify the value of urbanity in...

This paper develops a framework for predicting impact of urban railway network extensions on property prices. Impact of market potential and access to employment is assessed within a hedonic model environment employing potentiality variables and highly disaggregated data. Based on empirical...