Socioeconomic biases in urban mixing patterns of US metropolitan areas

Beskrivning

Urban areas serve as melting pots of people with diverse socioeconomic backgrounds, who may not only be segregated but have characteristic mobility patterns in the city. While mobility is driven by individual needs and preferences, the specific choice of venues to visit is usually constrained by the socioeconomic status of people. The complex interplay between people and places they visit, given their personal attributes and homophily leaning, is a key mechanism behind the emergence of socioeconomic stratification patterns ultimately leading to urban segregation at large. Here we investigate mixing patterns of mobility in the twenty largest cities of the United States by coupling individual check-in data from the social location platform Foursquare with census information from the American Community Survey. We find strong signs of stratification indicating that people mostly visit places in their own socioeconomic class, occasionally visiting locations from higher classes. The intensity of this ‘upwards bias’ increases with socioeconomic status and correlates with standard measures of racial residential segregation. Our results suggest an even stronger socioeconomic segregation in individual mobility than one would expect from system-level distributions, shedding further light on uneven mobility mixing patterns in cities.
Visa mer

Publiceringsår

2022

Typ av data

Upphovspersoner

Department of Computer Science

Gerardo Iniguez Gonzalez - Upphovsperson

Márton Karsai - Upphovsperson

Rafiazka Millanida Hilman - Upphovsperson

Alfred Renyi Institute of Mathematics - Medarbetare

Central European University - Medarbetare

figshare - Utgivare

Projekt

Övriga uppgifter

Vetenskapsområden

Data- och informationsvetenskap

Språk

Öppen tillgång

Öppet

Licens

Creative Commons Attribution 4.0 International (CC BY 4.0)

Nyckelord

Ämnesord

Temporal täckning

undefined

Relaterade till denna forskningsdata