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 other socio-spatial contexts of people. Activity an emerging field, characterized by quick adaptation novel data sources and interdisciplinary methodologies. In this article, we present a methodological review identifying approaches, methods applied. First, our highlights that the enables be studied perspectives people, places mobility flows. Second, results reveal both traditional big are valuable for studying segregation. While provide rich background information on people examining social dimension segregation, bring opportunities address temporality, increase extent resolution analysis. Hence, have important role mediating conceptual change neighborhood-based space-based Still, scholars should carefully challenges uncertainties entail studies. Finally, propose framework three-step workflow analysis, outline future avenues move toward more clarity, integrated analysis rigor.