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Catch Me if You Can: Workplace Mobility and Big Data
Authors:Filipa Pajević  Richard G Shearmur
Affiliation:1. filipa.pajevic@mail.mcgill.ca
Abstract:ABSTRACT

A growing number of workers, particularly in the knowledge and service sectors, can perform their work at multiple locations, and it is decreasingly realistic to assume, as researchers and planners have traditionally done, that employment in cities occurs in fixed locations. This suggests that census data or establishment registries do not fully capture where economic activity takes place. Given the role that ICTs play in enabling daytime workplace mobility, and given that they generate substantial amounts of real-time, geolocated data, we ask whether these Big Data can shed light upon the trajectories of mobile workers at the urban scale.
Keywords:Workplace mobility  mobile work  Big Data  urban studies  research data and methods
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