Quantifying urban socio-economic segregation through co-residence network reconstruction
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arXiv
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| Auteurs principaux: | , , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866909620636745728 |
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| author | Sadurní, Marc Martin-Gutierrez, Samuel Ali, Ola Jaramillo, Ana María Prieto-Curiel, Rafael Karimi, Fariba |
| author_facet | Sadurní, Marc Martin-Gutierrez, Samuel Ali, Ola Jaramillo, Ana María Prieto-Curiel, Rafael Karimi, Fariba |
| contents | Urban segregation poses a critical challenge in cities, exacerbating inequalities, social tensions, fears, and polarization. It emerges from a complex interplay of socio-economic disparities and residential preferences, disproportionately impacting migrant communities. In this paper, using a comprehensive administrative data from Vienna, where nearly 40% of the population consists of international migrants, we analyse co-residence preferences between migrants and locals at the neighbourhood level. Our findings reveal two major clusters in Vienna shaped by wealth disparities, district diversity, and nationality-based homophily. These insights shed light on the underlying mechanisms of urban segregation and designing policies for better integration. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_15920 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Quantifying urban socio-economic segregation through co-residence network reconstruction Sadurní, Marc Martin-Gutierrez, Samuel Ali, Ola Jaramillo, Ana María Prieto-Curiel, Rafael Karimi, Fariba Physics and Society Social and Information Networks Data Analysis, Statistics and Probability Urban segregation poses a critical challenge in cities, exacerbating inequalities, social tensions, fears, and polarization. It emerges from a complex interplay of socio-economic disparities and residential preferences, disproportionately impacting migrant communities. In this paper, using a comprehensive administrative data from Vienna, where nearly 40% of the population consists of international migrants, we analyse co-residence preferences between migrants and locals at the neighbourhood level. Our findings reveal two major clusters in Vienna shaped by wealth disparities, district diversity, and nationality-based homophily. These insights shed light on the underlying mechanisms of urban segregation and designing policies for better integration. |
| title | Quantifying urban socio-economic segregation through co-residence network reconstruction |
| topic | Physics and Society Social and Information Networks Data Analysis, Statistics and Probability |
| url | https://arxiv.org/abs/2501.15920 |