Activity Spaces and Big Data Sources in Segregation Research: A Methodological Review
The activity space approach is increasingly mobilized in spatial segregation research to broaden its scope from residential neighborhoods to other socio-spatial contexts of people. Activity space segregation research is an emerging field, characterized by quick adaptation of novel data sources and i...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-05-01
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| Series: | Frontiers in Sustainable Cities |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/frsc.2022.861640/full |
| _version_ | 1818211662025457664 |
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| author | Kerli Müürisepp Kerli Müürisepp Kerli Müürisepp Olle Järv Olle Järv Olle Järv Tiit Tammaru Tuuli Toivonen Tuuli Toivonen Tuuli Toivonen |
| author_facet | Kerli Müürisepp Kerli Müürisepp Kerli Müürisepp Olle Järv Olle Järv Olle Järv Tiit Tammaru Tuuli Toivonen Tuuli Toivonen Tuuli Toivonen |
| author_sort | Kerli Müürisepp |
| collection | DOAJ |
| description | The activity space approach is increasingly mobilized in spatial segregation research to broaden its scope from residential neighborhoods to other socio-spatial contexts of people. Activity space segregation research is an emerging field, characterized by quick adaptation of novel data sources and interdisciplinary methodologies. In this article, we present a methodological review of activity space segregation research by identifying approaches, methods and data sources applied. First, our review highlights that the activity space approach enables segregation to be studied from the perspectives of people, places and mobility flows. Second, the results reveal that both traditional data sources and novel big data sources are valuable for studying activity space segregation. While traditional sources provide rich background information on people for examining the social dimension of segregation, big data sources bring opportunities to address temporality, and increase the spatial extent and resolution of analysis. Hence, big data sources have an important role in mediating the conceptual change from a residential neighborhood-based to an activity space-based approach to segregation. Still, scholars should address carefully the challenges and uncertainties that big data entail for segregation studies. Finally, we propose a framework for a three-step methodological workflow for activity space segregation analysis, and outline future research avenues to move toward more conceptual clarity, integrated analysis framework and methodological rigor. |
| first_indexed | 2024-12-12T05:36:03Z |
| format | Article |
| id | doaj.art-978c45ce766342b587e5af5a79a1b9f2 |
| institution | Directory Open Access Journal |
| issn | 2624-9634 |
| language | English |
| last_indexed | 2024-12-12T05:36:03Z |
| publishDate | 2022-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Sustainable Cities |
| spelling | doaj.art-978c45ce766342b587e5af5a79a1b9f22022-12-22T00:36:08ZengFrontiers Media S.A.Frontiers in Sustainable Cities2624-96342022-05-01410.3389/frsc.2022.861640861640Activity Spaces and Big Data Sources in Segregation Research: A Methodological ReviewKerli Müürisepp0Kerli Müürisepp1Kerli Müürisepp2Olle Järv3Olle Järv4Olle Järv5Tiit Tammaru6Tuuli Toivonen7Tuuli Toivonen8Tuuli Toivonen9Digital Geography Lab, Department of Geosciences and Geography, University of Helsinki, Helsinki, FinlandHelsinki Institute of Urban and Regional Studies, University of Helsinki, Helsinki, FinlandHelsinki Inequality Initiative, University of Helsinki, Helsinki, FinlandDigital Geography Lab, Department of Geosciences and Geography, University of Helsinki, Helsinki, FinlandHelsinki Institute of Urban and Regional Studies, University of Helsinki, Helsinki, FinlandHelsinki Institute of Sustainability Science, University of Helsinki, Helsinki, FinlandDepartment of Geography, University of Tartu, Tartu, EstoniaDigital Geography Lab, Department of Geosciences and Geography, University of Helsinki, Helsinki, FinlandHelsinki Institute of Urban and Regional Studies, University of Helsinki, Helsinki, FinlandHelsinki Institute of Sustainability Science, University of Helsinki, Helsinki, FinlandThe activity space approach is increasingly mobilized in spatial segregation research to broaden its scope from residential neighborhoods to other socio-spatial contexts of people. Activity space segregation research is an emerging field, characterized by quick adaptation of novel data sources and interdisciplinary methodologies. In this article, we present a methodological review of activity space segregation research by identifying approaches, methods and data sources applied. First, our review highlights that the activity space approach enables segregation to be studied from the perspectives of people, places and mobility flows. Second, the results reveal that both traditional data sources and novel big data sources are valuable for studying activity space segregation. While traditional sources provide rich background information on people for examining the social dimension of segregation, big data sources bring opportunities to address temporality, and increase the spatial extent and resolution of analysis. Hence, big data sources have an important role in mediating the conceptual change from a residential neighborhood-based to an activity space-based approach to segregation. Still, scholars should address carefully the challenges and uncertainties that big data entail for segregation studies. Finally, we propose a framework for a three-step methodological workflow for activity space segregation analysis, and outline future research avenues to move toward more conceptual clarity, integrated analysis framework and methodological rigor.https://www.frontiersin.org/articles/10.3389/frsc.2022.861640/fullspatial segregationactivity spacehuman mobilitymethodological reviewbig dataliterature review |
| spellingShingle | Kerli Müürisepp Kerli Müürisepp Kerli Müürisepp Olle Järv Olle Järv Olle Järv Tiit Tammaru Tuuli Toivonen Tuuli Toivonen Tuuli Toivonen Activity Spaces and Big Data Sources in Segregation Research: A Methodological Review Frontiers in Sustainable Cities spatial segregation activity space human mobility methodological review big data literature review |
| title | Activity Spaces and Big Data Sources in Segregation Research: A Methodological Review |
| title_full | Activity Spaces and Big Data Sources in Segregation Research: A Methodological Review |
| title_fullStr | Activity Spaces and Big Data Sources in Segregation Research: A Methodological Review |
| title_full_unstemmed | Activity Spaces and Big Data Sources in Segregation Research: A Methodological Review |
| title_short | Activity Spaces and Big Data Sources in Segregation Research: A Methodological Review |
| title_sort | activity spaces and big data sources in segregation research a methodological review |
| topic | spatial segregation activity space human mobility methodological review big data literature review |
| url | https://www.frontiersin.org/articles/10.3389/frsc.2022.861640/full |
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