Human-Centric Data Science for Urban Studies

Bernd Resch, Michael Szell

Publikation: Artikel i tidsskrift og konference artikel i tidsskriftLeder

Abstrakt

Due to the wide-spread use of disruptive digital technologies like mobile phones, cities have transitioned from data-scarce to data-rich environments. As a result, the field of geoinformatics is being reshaped and challenged to develop adequate data-driven methods. At the same time, the term "smart city" is increasingly being applied in urban planning, reflecting the aims of different stakeholders to create value out of the new data sets. However, many smart city research initiatives are promoting techno-positivistic approaches which do not account enough for the citizens’ needs. In this paper, we review the state of quantitative urban studies under this new perspective, and critically discuss the development of smart city programs. We conclude with a call for a new anti-disciplinary, human-centric urban data science, and a well-reflected use of technology and data collection in smart city planning. Finally, we introduce the papers of this special issue which focus on providing a more human-centric view on data-driven urban studies, spanning topics from cycling and wellbeing, to mobility and land use.
OriginalsprogEngelsk
Artikelnummer8
TidsskriftISPRS International Journal of Geo-Information
Vol/bind8
Sider (fra-til)584
ISSN2220-9964
StatusUdgivet - 12 dec. 2019

Fingeraftryk

Dyk ned i forskningsemnerne om 'Human-Centric Data Science for Urban Studies'. Sammen danner de et unikt fingeraftryk.

Citationsformater