Abstract
Urbanization offers the potential to reduce socio-economic disparities by fostering interaction among diverse population groups. However, its success is often hindered by factors leading to socio-economic segregation. Utilizing anonymized mobility data, this study investigates socio-economic isolation in Salvador, Brazil, with a focus on gender and age isolation. We analyze isolation at both the census and individual levels, measuring isolation among gender and age groups in public spaces and examining interactions among individuals from different social groups. Our results highlight significant gender and age disparities at the census-level, with social class having a major influence at the individual-level.
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References
Tammaru, T., MarciÅczak, S., Van Ham, M., Musterd, S.: Socio-Economic Segregation in European Capital Cities. Routledge, Abingdon (2014)
Abramson, A.J., Tobin, M.S., VanderGoot, M.R.: The changing geography of metropolitan opportunity: the segregation of the poor in US metropolitan areas, 1970 to 1990. Hous. Policy Debate 6(1), 45ā72 (1995)
Oldenburg, R., Brissett, D.: The third place. Qual. Sociol. 5(4), 265ā284 (1982)
Moro, E., Calacci, D., Dong, X., Pentland, A.: Mobility patterns are associated with experienced income segregation in large US cities. Nat. Commun. 12(1), 4633 (2021)
Gauvin, L., et al.: Gender gaps in urban mobility. Human. Social Sci. Commun. 7(1), 1ā13 (2020)
Nilforoshan, H., et al.: Human mobility networks reveal increased segregation in large cities. Nature 624(7992), 586ā592 (2023)
Liao, Y., Gil, J., Yeh, S., Pereira, R.H., Alessandretti, L.: Socio-spatial segregation and human mobility: a review of empirical evidence. arXiv preprint arXiv:2403.06641 (2024)
Goel, R., Sharma, R., Aasa, A.: Understanding gender segregation through call data records: an Estonian case study. PLoS ONE 16(3), e0248212 (2021)
Reisch, T., Heiler, G., Hurt, J., Klimek, P., Hanbury, A., Thurner, S.: Behavioral gender differences are reinforced during the COVID-19 crisis. Sci. Rep. 11(1), 19241 (2021)
Goel, R., et al.: Gender differences in active travel in major cities across the world. Transportation, 1ā17 (2022)
Browning, C.R., Calder, C.A., Boettner, B.: Socioeconomic segregation of activity spaces in urban neighborhoods: does shared residence mean shared routines? RSF J. Social Sci. 3(2), 210ā231 (2017)
Cook, C., Currier, L., Glaeser, E.L.: Urban Mobility and the Experienced Isolation of Students (No. w29645). National Bureau of Economic Research (2022)
Couture, V.: Urban youth most isolated in largest cities (2024)
Duryea, S., de Freitas, L.B., Trevisan, G.: Universities and intergenerational social mobility in Brazil: examining patterns by race and gender. J. Econ. Race Policy 2, 240ā256 (2019)
da Cruz, G.F., Pero, V.: Gender differences in intergenerational income mobility in Brazil. In: Advances in Womenās Empowerment: Critical Insight from Asia, Africa and Latin America, vol. 29, pp. 65ā93. Emerald Publishing Limited (2020)
Moreira, G.C., Ceccato, V.A.: Gendered mobility and violence in the SĆ£o Paulo metro. Brazil. Urban Stud. 58(1), 203ā222 (2021)
Macedo, M., Lotero, L., Cardillo, A., Menezes, R., Barbosa, H.: Differences in the spatial landscape of urban mobility: gender and socioeconomic perspectives. PLoS ONE 17(3), e0260874 (2022)
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We thank Logan for providing the mobility data for Salvador.
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Alrasheed, H., Flores, A.F., Brei, V.A., Pentland, A.P. (2024). Examining Socio-Economic Isolation in Urban Spaces. In: Thomson, R., et al. Social, Cultural, and Behavioral Modeling. SBP-BRiMS 2024. Lecture Notes in Computer Science, vol 14972. Springer, Cham. https://doi.org/10.1007/978-3-031-72241-7_18
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DOI: https://doi.org/10.1007/978-3-031-72241-7_18
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