Identified communities of stolen bikes based on the Louvain algorithm. https://doi.org/10.1371/journal.pone.0279906.g017

Identified communities of stolen bikes based on the Louvain algorithm. https://doi.org/10.1371/journal.pone.0279906.g017

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Crime has major influences in urban life, from migration and mobility patterns, to housing prices and neighborhood liveability. However, urban crime studies still largely rely on static data reported by the various institutions and organizations dedicated to urban safety. In this paper, we demonstrate how the use of digital technologies enables the...

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... Such issues are not only found among migrants and children of migrants. However, half of the four traditional groups live in the 10 largest Dutch cities (Statistics Netherlands, 2022a) and bike theft and bike storage issues are known problems in (large) cities (Kuppens et al., 2020;Royal Dutch Touring Club ANWB, 2021, n.d.;Venverloo et al., 2023). ...
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People with a migration background, especially first-generation Dutch individuals, are less mobile than those without a migration background. At the same time, the commuting distance and travel time for migrants and children of migrants is longer than for other working individuals. Second�and especially first-generation Dutch individuals tend to cycle less often, but use public transport and walk more often than people without a migration background. Differences between groups are large though; this makes it difficult to talk about “the” travel behaviour of people with a migration background. There are currently 4.5 million people with a migration background living in the Netherlands. The share of people with a migration background is expected to increase in the coming years. First-generation Dutch individuals in particular are less mobile, are less likely to own a driving licence and tend to cycle less frequently than people without a migration background. Importantly, differences between groups with different countries of origin are sometimes large. Among second-generation Dutch individuals, children of migrants, these differences tend to be less pronounced. In fact, their travel behaviour tends to be closer to that of people without a migration background than to first-generation Dutch individuals on many aspects. This study confirms that the travel behaviour of migrants and children of migrants is relevant for policy. After all, a changing composition of the population in the Netherlands also means changing mobility patterns.