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Human-Centric Data Science for Urban Studies

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Human-Centric Data Science for Urban Studies. / Resch, Bernd; Szell, Michael.

In: ISPRS International Journal of Geo-Information, Vol. 8, 8, 12.12.2019, p. 584.

Research output: Journal Article or Conference Article in JournalEditorialResearch

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@article{544e5cfe70624fbd82187ec68d4a8fd3,
title = "Human-Centric Data Science for Urban Studies",
abstract = "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{\textquoteright} 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.",
keywords = "urban data science, smart cities, geoinformatics",
author = "Bernd Resch and Michael Szell",
year = "2019",
month = dec,
day = "12",
language = "English",
volume = "8",
pages = "584",
journal = "ISPRS International Journal of Geo-Information",
issn = "2220-9964",
publisher = "MDPIAG",

}

RIS

TY - JOUR

T1 - Human-Centric Data Science for Urban Studies

AU - Resch, Bernd

AU - Szell, Michael

PY - 2019/12/12

Y1 - 2019/12/12

N2 - 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.

AB - 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.

KW - urban data science

KW - smart cities

KW - geoinformatics

M3 - Editorial

VL - 8

SP - 584

JO - ISPRS International Journal of Geo-Information

JF - ISPRS International Journal of Geo-Information

SN - 2220-9964

M1 - 8

ER -

ID: 84751656