How do measure the triangle of human mobility in urban nightlife?

Article Multidisciplinary Sciences

Analysis of mobility homophily in Stockholm based on social network data

Cate Heine et al.

Summary: The study reveals that the connectivity metric between different parts of a city is significantly influenced by socioeconomic similarity, with neighborhoods that share similarities in terms of income, education level, and to a lesser extent, immigration history, showing stronger connections in terms of resident movement.

PLOS ONE (2021)

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Article Multidisciplinary Sciences

Social distancing beliefs and human mobility: Evidence from Twitter

Simon Porcher et al.

Summary: The study found that beliefs shared on social networks about social distancing can influence individual behavior, while factors such as state orders, number of COVID-19 cases, precipitation, and temperature can also impact human mobility. Republican states are less likely to enforce social distancing, and policymakers can use Twitter data to better understand individual voluntary social distancing actions.

PLOS ONE (2021)

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Article Geography

Identifying tourist-functional relations of urban places through Foursquare from Barcelona

Liya Yang et al.

Summary: This study focused on quantifying the tourist-functional relations among Places of Interest (POIs) in Barcelona using Foursquare data, highlighting important functional connections between different types of POIs. By classifying POIs into categories and constructing a usage-flows matrix, the research identified dominant tourist usages and central functional locations. The results showed that, in addition to tourist attractions, restaurants, transport, and hotels play significant roles in the functional relationships of tourism.

GEOJOURNAL (2021)

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Article Health Care Sciences & Services