Catch Me if You Can: Workplace Mobility and Big Data

Filipa Pajević and Richard G. Shearmur

Journal of Urban Technology, 2017, vol. 24, issue 3, 99-115

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.

Date: 2017
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DOI: 10.1080/10630732.2017.1334855

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