Urban and spatial mobility

By mixing diverse knowledge, cities have become the engines of technological and economic progress. However, segregation by income or ethnic background in residential areas or at visited places pose challenges for inclusive growth. At ANETI, we are investigating the relationship between mobility and mixing in cities by tracing mobile phones, analyzing public transport networks, and by looking at how mixing can help the establishment of bridging connections.

Related Publications

L M Aiello, A Vybornova, S Juhász, M Szell, E Bokányi (2025) Urban highways are barriers to social ties. PNAS, 122(10): e2408937122.
M Gergely, L László (2025) Rural-urban flows determine internal migration structure across scales. Cities, 163: 105992.
G Pintér, B Lengyel (2025) Quantifying barriers of urban mobility. Cities, 167: 106322.
G Pintér (2024) Revealing urban area from mobile positioning data. Scientific Reports, 14: 30948.
V Ilyés, I Boza, L Lőrincz, R Eriksson (2023) How to enter high-opportunity places? The role of social contacts for residential mobility. Journal of Economic Geography, 23(2): 371-395.
S Juhász, G Pintér, Á Kovács, E Borza, G Mónus, L Lőrincz, B Lengyel (2023) Amenity complexity and urban locations of socio-economic mixing. EPJ Data Science, 12: 34.
L Lőrincz, B Németh (2022) How Social Capital is Related to Migration Between Communities? European Journal of Population, 38(5): 1119-1143.
G Pintér, I Felde (2022) Commuting Analysis of the Budapest Metropolitan Area Using Mobile Network Data. ISPRS International Journal of Geo-Information, 11(9): 466.
E Bokányi, S Juhász, M Karsai, B Lengyel (2021) Universal patterns of long-distance commuting and social assortativity in cities. Scientific Reports, 11: 20829.