Amenity complexity and urban locations of socio-economic mixing

Cities host diverse people and their mixing is the engine of prosperity. In turn, segregation and inequalities are common features of most cities and locations that enable the meeting of people with different socio-economic status are key for urban inclusion. In this study, we adopt the concept of e...

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Bibliographic Details
Published in:EPJ data science 2023-12, Vol.12 (1), p.34-18, Article 34
Main Authors: Juhász, Sándor, Pintér, Gergő, Kovács, Ádám J., Borza, Endre, Mónus, Gergely, Lőrincz, László, Lengyel, Balázs
Format: Article
Language:English
Subjects:
Amenities
Complexity
Computer Appl. in Social and Behavioral Sciences
Computer Science
Data-driven Science
Economic complexity
Economics
Mobility
Modeling and Theory Building
Neighborhoods
Regular Article
Segregation
Socioeconomic factors
Socioeconomics
Urban areas
Urban mobility
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Summary:Cities host diverse people and their mixing is the engine of prosperity. In turn, segregation and inequalities are common features of most cities and locations that enable the meeting of people with different socio-economic status are key for urban inclusion. In this study, we adopt the concept of economic complexity to quantify the sophistication of amenity supply at urban locations. We propose that neighborhood complexity and amenity complexity are connected to the ability of locations to attract diverse visitors from various socio-economic backgrounds across the city. We construct the measures of amenity complexity based on the local portfolio of diverse and non-ubiquitous amenities in Budapest, Hungary. Socio-economic mixing at visited third places is investigated by tracing the daily mobility of individuals and by characterizing their status by the real-estate price of their home locations. Results suggest that measures of ubiquity and diversity of amenities do not, but neighborhood complexity and amenity complexity are correlated with the urban centrality of locations. Urban centrality is a strong predictor of socio-economic mixing, but both neighborhood complexity and amenity complexity add further explanatory power to our models. Our work combines urban mobility data with economic complexity thinking to show that the diversity of non-ubiquitous amenities, central locations, and the potentials for socio-economic mixing are interrelated.
ISSN:2193-1127
2193-1127
DOI:10.1140/epjds/s13688-023-00413-6