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Socio-spatial segregation and human mobility: A review of empirical evidence (2403.06641v4)

Published 11 Mar 2024 in cs.SI

Abstract: Socio-spatial segregation is the physical separation of different social, economic, or demographic groups within a geographic space, often resulting in unequal access to resources, services, and opportunities. The literature has traditionally focused on residential segregation, examining how individuals' residential locations are distributed differently across neighborhoods based on various social attributes, e.g., race, ethnicity, and income. However, this approach overlooks the complexity of spatial segregation in people's daily activities, which often extend far beyond residential areas. Since the 2010s, emerging mobility data sources have enabled a new understanding of socio-spatial segregation by considering daily activities such as work, school, shopping, and leisure visits. From traditional surveys to GPS trajectories, diverse data sources reveal that daily mobility can result in spatial segregation levels that differ from those observed in residential segregation. This literature review focuses on three critical questions: (a) What are the strengths and limitations of segregation research incorporating extensive mobility data? (b) How do human mobility patterns relate to individuals' residential vs. experienced segregation levels? and (c) What key factors explain the relationship between one's mobility patterns and experienced segregation? Our literature review enhances the understanding of socio-spatial segregation at the individual level and clarifies core concepts and methodological challenges in the field. Our review explores studies of key themes: segregation, activity space, co-presence, and the built environment. By synthesizing their findings, we aim to offer actionable insights for reducing segregation.

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References (223)
  1. Cracks in the well-plastered façade of the nordic model: reflections on inequalities in housing and mobility in (post-) coronavirus pandemic sweden. Children’s Geographies, 20(4):478–486, 2022.
  2. From residential neighborhood to activity space: The effects of educational segregation on crime and their moderation by social context. Annals of the American Association of Geographers, 112(8):2393–2412, 2022a.
  3. Ethnic differences in activity spaces: A study of out-of-home nonemployment activities with mobile phone data. Annals of the Association of American Geographers, 104(3):542–559, 2014a.
  4. Towards a new paradigm for segregation measurement in an age of big data. Urban Informatics, 1(1):5, 2022a.
  5. Examining spatiotemporal evolution of racial/ethnic disparities in human mobility and covid-19 health outcomes: Evidence from the contiguous united states. Sustainable Cities and Society, 76:103506, 2022.
  6. Alice Z Xu. Segregation and the spatial externalities of inequality: A theory of interdependence and public goods in cities. American Political Science Review, pages 1–18, 2023.
  7. Mobility patterns are associated with experienced income segregation in large us cities. Nature communications, 12(1):4633, 2021.
  8. Segregation, mobility and encounters in jerusalem: The role of public transport infrastructure in connecting the ‘divided city’. Urban Studies, 55(15):3454–3473, 2018.
  9. Mei-Po Kwan. Beyond space (as we knew it): Toward temporally integrated geographies of segregation, health, and accessibility: Space–time integration in geography and giscience. Annals of the Association of American Geographers, 103(5):1078–1086, 2013.
  10. Global and local spatial indices of urban segregation. International Journal of Geographical Information Science, 21(3):299–323, 2007.
  11. Workplace segregation of rural migrants in urban china: A case study of shenzhen using cellphone big data. Environment and Planning B: Urban Analytics and City Science, 48(1):25–42, 2021.
  12. Inequality in leisure mobility: An analysis of activity space segregation spectra in the stockholm conurbation. Journal of transport geography, 111:103638, 2023.
  13. Beyond residential segregation: Mobility-based connectedness and rates of violence in large cities. Race and social problems, 12(1):77–86, 2020.
  14. From residence to movement: The nature of racial segregation in everyday urban mobility. Urban Studies, 58(15):3095–3117, 2021.
  15. Measuring urban segregation based on individuals’ daily activity patterns: A multidimensional approach. Environment and Planning A: Economy and Space, 49(2):467–486, 2017.
  16. Gps tracking of some northern ireland students–patterns of shared and separated space: divided we stand? International Research in Geographical and Environmental Education, 22(3):241–258, 2013.
  17. Quantifying segregation in an integrated urban physical-social space. Journal of the Royal Society Interface, 16(160):20190536, 2019.
  18. Urban mobility and neighborhood isolation in america’s 50 largest cities. Proceedings of the National Academy of Sciences, 115(30):7735–7740, 2018.
  19. Spatial segregation measures: A methodological review. Tijdschrift voor economische en sociale geografie, 110(3):235–250, 2019.
  20. Activity spaces and big data sources in segregation research: A methodological review. Frontiers in Sustainable Cities, 4:861640, 2022.
  21. A methodological analysis of segregation indexes. American sociological review, 20(2):210–217, 1955.
  22. Selective migration in swedish distressed neighbourhoods: can area-based urban policies counteract segregation processes? Housing studies, 19(4):517–539, 2004.
  23. Investigating the socio-spatial relations of the built environment using the space syntax analysis–a case study of tirana city. Cities, 133:104147, 2023.
  24. Beyond residential segregation: A spatiotemporal approach to examining multi-contextual segregation. Computers, Environment and Urban Systems, 71:98–108, 2018.
  25. Cocooning urban life: Exposure to diversity in neighbourhoods, workplaces and transport. Cities, 59:139–147, 2016.
  26. Counteracting segregation: Swedish policies and experiences. Housing studies, 25(2):237–256, 2010.
  27. Segregated networks in the city. International Journal of Urban and Regional Research, 39(6):1084–1102, 2015.
  28. Jose Carpio-Pinedo. Multimodal transport and potential encounters with social difference: A novel approach based on network analysis. Journal of Urban Affairs, 43(1):93–116, 2021.
  29. E Ravalet. Segregation and daily mobility, an international comparison. WIT Transactions on the Built Environment, 89, 2006.
  30. Activity spaces and sociospatial segregation in beijing. Urban Geography, 33(2):256–277, 2012.
  31. Social segregation around the clock in the paris region (france). Journal of Transport Geography, 59:134–145, 2017.
  32. John D Landis. Minority travel disparities and residential segregation: Evidence from the 2017 national household travel survey. Transportation Research Part D: Transport and Environment, 112:103455, 2022.
  33. Shuting Lin and Na Ta. Does social exposure influence locals’ and migrants’ city attachment? comparing residential areas and activity spaces. Population, Space and Place, 29(3):e2643, 2023.
  34. Spatial and temporal patterns of economic segregation in sweden’s metropolitan areas: A mobility approach. Environment and Planning A: Economy and Space, 50(4):809–825, 2018.
  35. Unfolding community homophily in us metropolitans via human mobility. Cities, 129:103929, 2022.
  36. Revealing racial-ethnic segregation with individual experienced segregation indices based on social media data: A case study in los angeles-long beach-anaheim. Computers, Environment and Urban Systems, 104:102008, 2023.
  37. A temporal geography of encounters. CyberGeo: European Journal of Geography, 2018.
  38. Human mobility: Models and applications. Physics Reports, 734:1–74, 2018.
  39. Randall Collins. Interaction ritual chains. Princeton university press, 2004.
  40. Social and spatial ethnic segregation: A framework for analyzing segregation with large-scale spatial network data. In Proceedings of the 4th Annual Symposium on Computing for Development, pages 1–10, 2013.
  41. Human mobility networks reveal increased segregation in large cities. Nature, pages 1–7, 2023.
  42. The social integration of american cities: Network measures of connectedness based on everyday mobility across neighborhoods. Sociological Methods & Research, 50(3):1110–1149, 2021.
  43. Reside nearby, behave apart? activity-space-based segregation among residents of various types of housing in beijing, china. Cities, 88:166–180, 2019.
  44. The activity space-based segregation of migrants in suburban shanghai. Applied Geography, 133:102499, 2021.
  45. Yao Shen. Segregation through space: A scope of the flow-based spatial interaction model. Journal of Transport Geography, 76:10–23, 2019.
  46. Measuring destination-based segregation through mobility patterns: Application of transport card data. Journal of Transport Geography, 92:103025, 2021.
  47. Delineating race-specific driving patterns for identifying racial segregation. Transportation Research Part D: Transport and Environment, 119:103769, 2023.
  48. Karl Vachuska. Racial segregation in everyday mobility patterns: Disentangling the effect of travel time. Socius, 9:23780231231169261, 2023.
  49. Segregation and internal mobility of syrian refugees in turkey: Evidence from mobile phone data. Journal of Development Economics, 152:102704, 2021.
  50. The dimensions of residential segregation. Social forces, 67(2):281–315, 1988.
  51. The temporal variation of ethnic segregation in a city: Evidence from a mobile phone use dataset. Social Science Research, 47:30–43, 2014b.
  52. Estimating experienced racial segregation in us cities using large-scale gps data. Proceedings of the National Academy of Sciences, 118(46):e2026160118, 2021.
  53. Streets for co-presence?: Mapping potentials. In The 10th International Space Syntax Symposium (SSS10), London, 13-17 July 2015, pages 108–1. Space Syntax Laboratory, The Bartlett School of Architecture, University …, 2015.
  54. Measures of spatial segregation. Sociological methodology, 34(1):121–162, 2004.
  55. Ethnic and racial segregation in us metropolitan areas, 1980-2000: The dimensions of segregation revisited. Urban Affairs Review, 42(4):479–504, 2007.
  56. Live nearby, be different, work apart? some learnings from action spaces discrepancies in santiago de chile. Geographical Analysis, 53(2):329–354, 2021.
  57. A surface-based approach to measuring spatial segregation. Geographical analysis, 39(2):147–168, 2007.
  58. Measuring segregation using patterns of daily travel behavior: A social interaction based model of exposure. Journal of transport geography, 49:26–38, 2015.
  59. When clustering the multiscalar fingerprint of the city reveals its segregation patterns. In Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization: Proceedings of the 13th International Workshop, WSOM+ 2019, Barcelona, Spain, June 26-28, 2019 13, pages 140–149. Springer, 2020.
  60. Discovering income-economic segregation patterns: A residential-mobility embedding approach. Computers, Environment and Urban Systems, 90:101709, 2021.
  61. Mobility and transit segregation in urban spaces. arXiv preprint arXiv:2304.07086, 2023.
  62. From isovists to visibility graphs: a methodology for the analysis of architectural space. Environment and Planning B: Planning and design, 28(1):103–121, 2001.
  63. Alasdair Turner. Angular analysis. In Proceedings of the 3rd international symposium on space syntax, volume 30, pages 30–11. Georgia Institute of Technology Atlanta, GA, 2001.
  64. Assessing refugees’ integration via spatio-temporal similarities of mobility and calling behaviors. IEEE Transactions on Computational Social Systems, 6(4):726–738, 2019.
  65. Daily mobility patterns: Reducing or reproducing inequalities and segregation? Social Inclusion, 9(2):208–221, 2021.
  66. The social space of arab residents of mixed israeli cities. Geografiska Annaler: Series B, Human Geography, 100(4):359–376, 2018.
  67. Unequal periurban mobility: Travel patterns, modal choices and urban core dependence in latin america. Habitat International, 133:102752, 2023.
  68. KE Aksyonov. Social segregation of personal activity spaces in a posttransformation metropolis (case study of st. petersburg). Regional Research of Russia, 1:52–61, 2011.
  69. Daanika Gordon. Daily mobility in the black-white segregated city: Linking material realities and repertoires of meaning. Sociological Perspectives, 61(4):661–680, 2018.
  70. Examining the impacts of ethnicity on space-time behavior: Evidence from the city of xining, china. Cities, 64:26–36, 2017.
  71. Social-contextual exposure of ethnic groups in urban china: from residential place to activity space. Population, Space and Place, 25(7):e2248, 2019.
  72. Socioeconomic biases in urban mixing patterns of us metropolitan areas. EPJ data science, 11(1):32, 2022.
  73. The impact of social segregation on human mobility in developing and industrialized regions. EPJ Data Science, 3(1):1–20, 2014.
  74. Mobility patterns and user dynamics in racially segregated geographies of us cities. In Social Computing, Behavioral-Cultural Modeling and Prediction: 7th International Conference, SBP 2014, Washington, DC, USA, April 1-4, 2014. Proceedings 7, pages 11–18. Springer, 2014.
  75. Networks of (dis) connection: mobility practices, tertiary streets, and sectarian divisions in north belfast. Annals of the American Association of Geographers, 109(6):1729–1747, 2019.
  76. Measuring segregation: An activity space approach. Journal of geographical systems, 13:127–145, 2011.
  77. Redefining neighborhoods using common destinations: Social characteristics of activity spaces and home census tracts compared. Demography, 51(3):727–752, 2014.
  78. Activity locations, residential segregation and the significance of residential neighbourhood boundary perceptions. Urban Studies, 58(13):2758–2781, 2021.
  79. Daily activity space and exposure: A comparative study of hong kong’s public and private housing residents’ segregation in daily life. Cities, 59:148–155, 2016.
  80. Is there greater ethnic mixing in residential or workplace spaces? Journal of Ethnic and Migration Studies, pages 1–21, 2022.
  81. Impact of land use diversity on daytime social segregation patterns in santiago de chile. Buildings, 12(2):149, 2022.
  82. Evidence of urban segregation from mobile phone data: A case study of novi sad. In 2019 27th Telecommunications Forum (TELFOR), pages 1–4. IEEE, 2019.
  83. Exploring night and day socio-spatial segregation based on mobile phone data: The case of medellin (colombia). Computers, Environment and Urban Systems, 89:101675, 2021.
  84. Eun Jin Shin. Spatial segregation of chinese immigrants in seoul, south korea, during the covid-19 pandemic: Evidence from population data derived from mobile phone signals. The Social Science Journal, pages 1–22, 2021.
  85. The relationship between ethno-linguistic composition of social networks and activity space: A study using mobile phone data. Social Inclusion, 9(2):192–207, 2021.
  86. Beyond home neighborhood: Mobility, activity and temporal variation of socio-spatial segregation. Journal of transport geography, 99:103304, 2022.
  87. Wenfei Xu. The contingency of neighbourhood diversity: Variation of social context using mobile phone application data. Urban Studies, 59(4):851–869, 2022.
  88. Social media and the city: Rethinking urban socio-spatial inequality using user-generated geographic information. Landscape and urban planning, 142:198–211, 2015.
  89. Seong-Yun Hong. Open-source tools for the measurement of socio-spatial segregation in activity spaces. Transactions in GIS, 24(5):1248–1263, 2020.
  90. Arab integration in jewish-israeli social space: does commuting make a difference? Urban Geography, 35(7):1084–1104, 2014.
  91. Gehan Selim. The landscape of differences: contact and segregation in the everyday encounters. Cities, 46:16–25, 2015.
  92. A model of multidimensional segregation in the arab ghetto in tel aviv-jaffa. Tijdschrift voor economische en sociale geografie, 98(5):603–620, 2007.
  93. Socioeconomic segregation of activity spaces in urban neighborhoods: Does shared residence mean shared routines? RSF: The Russell Sage Foundation Journal of the Social Sciences, 3(2):210–231, 2017.
  94. Human mobility patterns are associated with experienced partisan segregation in us metropolitan areas. Scientific Reports, 13(1):9768, 2023.
  95. Are younger age groups less segregated? measuring ethnic segregation in activity spaces using mobile phone data. Journal of Ethnic and Migration Studies, 44(11):1797–1817, 2018. doi:10.1080/1369183X.2017.1400425.
  96. Temporal variation in activity-space-based segregation: A case study of beijing using location-based service data. Journal of Transport Geography, 98:103239, 2022b.
  97. The time geography of segregation during working hours. Royal Society open science, 5(10):180749, 2018.
  98. Amenity complexity and urban locations of socio-economic mixing. EPJ Data Science, 12(1):34, 2023.
  99. A realistic and multilevel measurement of citywide spatial patterns of economic segregation based on human activities. Cities, 110:103067, 2021.
  100. Between state and family: discussion on the segregation and integration of the daily living space within shanghai historic lane neighborhood. Home Cultures, 16(3):163–190, 2019.
  101. How does socio-economic and demographic dissimilarity determine physical and virtual segregation? Journal of Spatial Information Science, (21):177–202, 2020.
  102. Neighborhood isolation during the covid-19 pandemic. Sociological Science, 8:170–190, 2021.
  103. Aggravated social segregation during the covid-19 pandemic: Evidence from crowdsourced mobility data in twelve most populated us metropolitan areas. Sustainable Cities and Society, 81:103869, 2022b.
  104. Where do people meet? time-series clustering for social interaction levels in daily-life spaces during the covid-19 pandemic. Cities, 137:104298, 2023.
  105. Behavioral changes during the covid-19 pandemic decreased income diversity of urban encounters. Nature Communications, 14(1):2310, 2023.
  106. Socioeconomic differences and persistent segregation of italian territories during covid-19 pandemic. Scientific reports, 11(1):21174, 2021.
  107. The city matters: urbanization, regional analysis and urban segregation in times of the covid-19 pandemic. Revista Brasileira de Estudos de População, 39:e0205, 2022.
  108. Effects of income inequality on evacuation, reentry and segregation after disasters. Transportation research part D: transport and environment, 82:102260, 2020.
  109. High-resolution human mobility data reveal race and wealth disparities in disaster evacuation patterns. Humanities and Social Sciences Communications, 8(1):1–8, 2021.
  110. Beyond distance decay: Discover homophily in spatially embedded social networks. Annals of the American Association of Geographers, 112(2):505–521, 2022.
  111. Exploring segregation and mobilities: Application of an activity tracking app on mobile phone. Cities, 59:156–163, 2016.
  112. Human movement patterns of different racial-ethnic and economic groups in us top 50 populated cities: What can social media tell us about isolation? Annals of GIS, 28(2):161–183, 2022.
  113. Analysis of mobility homophily in stockholm based on social network data. PloS one, 16(3):e0247996, 2021.
  114. Are we breaking bubbles as we move? using a large sample to explore the relationship between urban mobility and segregation. Computers, Environment and Urban Systems, 86:101585, 2021.
  115. A behavioral explanation of the activity-space segregation: Individuals’ preference of choosing an activity destination. Environment and Planning B: Urban Analytics and City Science, page 23998083241229110, 2024.
  116. Identifying latent activity behaviors and lifestyles using mobility data to describe urban dynamics. EPJ Data Science, 12(1):15, 2023.
  117. Activity spaces and the measurement of clustering and exposure: A case study of linguistic groups in montreal. Environment and Planning A, 44(2):315–332, 2012.
  118. Individual activity patterns and the meaning of residential environments for inter-ethnic contact. Tijdschrift voor economische en sociale geografie, 105(1):64–78, 2014.
  119. Time allocation and the activity-space-based segregation of different income groups: A case study of nanjing. Land, 11(10):1717, 2022.
  120. Does low income translate into lower mobility? an investigation of activity space in hong kong between 2002 and 2011. Journal of Transport Geography, 82:102583, 2020a.
  121. Beyond the ‘mediterranean city’: Socioeconomic disparities and urban sprawl in three southern european cities. Geografiska Annaler: Series B, Human Geography, 99(3):319–337, 2017.
  122. Social and spatial differentiation of high and low income groups’ out-of-home activities in guangzhou, china. Cities, 45:81–90, 2015.
  123. Differences in daily trips between immigrants and us-born individuals: Implications for social integration. Transport policy, 105:103–114, 2021.
  124. Rowland Atkinson. Limited exposure: Social concealment, mobility and engagement with public space by the super-rich in london. Environment and Planning A: Economy and Space, 48(7):1302–1317, 2016.
  125. Bangkok living: Encountering others in a gated urban field. Cities, 59:164–172, 2016.
  126. Mental maps compared to actual spatial behavior using gps data: A new method for investigating segregation in cities. Cities, 36:28–40, 2014.
  127. Ethnic differences in activity spaces as a characteristic of segregation: A study based on mobile phone usage in tallinn, estonia. Urban Studies, 52(14):2680–2698, 2015.
  128. Eun Jin Shin. Ethnic neighborhoods, social networks, and inter-household carpooling: A comparison across ethnic minority groups. Journal of Transport Geography, 59:14–26, 2017.
  129. Street context of various demographic groups in their daily mobility. Applied Network Science, 6(1):1–14, 2021.
  130. The link between ethnic segregation and socio-economic status: An activity space approach. Tijdschrift voor economische en sociale geografie, 112(3):319–335, 2021.
  131. Parallel lives: Intergroup contact, threat, and the segregation of everyday activity spaces. Journal of Personality and Social Psychology, 118(3):457, 2020.
  132. Mobilities of the periphery: Informality, access and social exclusion in the urban fringe in colombia. Journal of transport geography, 55:152–164, 2016.
  133. The influence of job accessibility on local residential segregation of ethnic minorities: A study of hong kong. Population, Space and Place, 26(8):e2353, 2020b.
  134. Local urban attributes defining ethnically segregated areas across english cities: A multilevel approach. Cities, 132:103967, 2023.
  135. Linking spatial and temporal contexts to multi-contextual segregation by hukou status in urban china. Journal of Transport Geography, 107:103540, 2023.
  136. Anne Power. Social inequality, disadvantaged neighbourhoods and transport deprivation: an assessment of the historical influence of housing policies. Journal of Transport Geography, 21:39–48, 2012.
  137. Bruna Da Cunha Kronenberger and Renato Tibiriçá De Saboya. A configurational study of sociospatial segregation in the metropolitan region of florianopolis, brazil. In Proceedings 11th International Space Syntax Symposium, volume 11, pages 75–1, 2017.
  138. Access to employment and property values in mexico. Regional Science and Urban Economics, 70:142–154, 2018.
  139. Urban sprawl and the growing geographic scale of segregation in mexico, 1990–2010. Habitat International, 73:89–95, 2018.
  140. Cumulative (and self-reinforcing) spatial inequalities: Interactions between accessibility and segregation in four brazilian metropolises. Environment and Planning B: Urban Analytics and City Science, 48(7):1989–2005, 2021.
  141. Pengjun Zhao. The impact of urban sprawl on social segregation in b eijing and a limited role for spatial planning. Tijdschrift voor economische en sociale geografie, 104(5):571–587, 2013.
  142. Exploring the relationship between spatial driving forces of urban expansion and socioeconomic segregation: The case of shiraz. Habitat international, 81:33–44, 2018.
  143. Urban structure and the layout of social segregation. In 12th International Space Syntax Symposium, SSS 2019, 2019. URL https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083951364&partnerID=40&md5=923976dd7c66c98cde0aa1997cf7c53c.
  144. Does urban sprawl hold down upward mobility? Landscape and urban planning, 148:80–88, 2016.
  145. John F Kain. Housing segregation, negro employment, and metropolitan decentralization. The quarterly journal of economics, 82(2):175–197, 1968.
  146. Janeria Easley. Spatial mismatch beyond black and white: Levels and determinants of job access among asian and hispanic subpopulations. Urban Studies, 55(8):1800–1820, 2018.
  147. Commuting times: Is there any penalty for immigrants? Urban Studies, 47(8):1663–1686, 2010.
  148. Zifeng Chen and Anthony Gar-On Yeh. Accessibility inequality and income disparity in urban china: a case study of guangzhou. Annals of the American Association of Geographers, 109(1):121–141, 2019.
  149. Spatial mismatch or not? evidence from public janitors in xi’an, china. Chinese Geographical Science, 31:376–386, 2021.
  150. Transport poverty and its adverse social consequences. In Proceedings of the institution of civil engineers-transport, volume 169, pages 353–365. Thomas Telford Ltd, 2016.
  151. Understanding transport-related social exclusion through the lens of capabilities approach. Transport Reviews, 42(4):503–525, 2022.
  152. Social inequality in popular neighborhoods: A pre-and post-pandemic perspective from joint accessibility. Sustainability, 15(13):10587, 2023.
  153. Geographies of ethnic segregation in stockholm: The role of mobility and co-presence in shaping the ‘diverse’city. Urban Studies, 56(12):2426–2446, 2019.
  154. Distributive justice and equity in transportation. Transport reviews, 37(2):170–191, 2017.
  155. Imbalance between local commuting accessibility and residential locations of households by income class in the seoul metropolitan area. Cities, 109:103011, 2021.
  156. Urban transport planning and access inequalities: A tale of two colombian cities. Research in Transportation Business & Management, 40:100554, 2021.
  157. Spatial visualization of job inaccessibility to identify transport related social exclusion. In GeoInfo, pages 105–118, 2015.
  158. Creating inequality in accessibility: The relationships between public transport and social housing policy in deprived areas of santiago de chile. Journal of Transport Geography, 67:102–109, 2018.
  159. Yasna Cortés. Spatial accessibility to local public services in an unequal place: An analysis from patterns of residential segregation in the metropolitan area of santiago, chile. Sustainability, 13(2):442, 2021.
  160. Commuting variability by wage groups in baton rouge, 1990–2010. Papers in Applied Geography, 3(1):14–29, 2017.
  161. Which dots to connect? employment centers and commuting inequalities in bogotá. Journal of Transport and Land Use, 15(1):17–34, 2022.
  162. Examining the interplay between racial segregation patterns and access to hospital care. Environment and Planning B: Urban Analytics and City Science, 50(1):117–129, 2023.
  163. Ismail Haque. Discriminated urban spaces: A study of spatial segregation in urban west bengal. Economic and Political Weekly, pages 41–50, 2016.
  164. Spatial inequality of job accessibility in shanghai: A geographical skills mismatch perspective. Habitat international, 115:102401, 2021.
  165. Job accessibility, residential segregation and risk of long-term unemployment in the paris region. Urban Studies, 47(11):2279–2324, 2010.
  166. Seher Ozkazanc. Transportation experiences of syrian refugees under the clampdown of poverty, social exclusion and spatial segregation. Cities, 112:103117, 2021.
  167. Minority-white income inequality across metropolitan areas: The role of racial/ethnic residential segregation and transportation networks. Journal of Urban Affairs, 43(1):16–39, 2021.
  168. Hyunjoo Eom. Does job accessibility matter in the suburbs? black suburbia, job accessibility, and employment outcomes. Land, 11(11):1952, 2022.
  169. Segregation, buffer zones and transport routes: The saga of the second access road to chatsworth. The Oriental Anthropologist, 12(2):379–399, 2012.
  170. Race, space, and struggles for mobility: Transportation impacts on african americans in oakland and the east bay. Urban Geography, 34(5):699–728, 2013.
  171. Jose Manuel Naranjo Gomez. Impacts on the social cohesion of mainland spain’s future motorway and high-speed rail networks. Sustainability, 8(7):624, 2016.
  172. Road infrastructure expansion and socio-spatial fragmentation in the peri-urban zone in accra, ghana. Cities, 133:104154, 2023.
  173. Stephen Graham. Elite avenues: flyovers, freeways and the politics of urban mobility. City, 22(4):527–550, 2018.
  174. Avichal Mahajan. Highways and segregation. Journal of Urban Economics, page 103574, 2023.
  175. Kilian Heilmann. Transit access and neighborhood segregation. evidence from the dallas light rail system. Regional Science and Urban Economics, 73:237–250, 2018.
  176. Distributional effects of transport policies on inequalities in access to opportunities in rio de janeiro. Journal of Transport and Land Use, 12(1):741–764, 2019.
  177. Impact of new rail transit stations on neighborhood destination choices and income segregation. Cities, 102:102737, 2020.
  178. The relationship between spatial configuration and a rab minority residential patterns in i sraeli mixed cities. Tijdschrift voor economische en sociale geografie, 106(3):321–338, 2015.
  179. Towards just cities: An architectural approach to mapping unequal living conditions. In 13th International Space Syntax Symposium, SSS 2022, Bergen, Norway, Jun 20 2022-Jun 24 2022. Western Norway University of Applied Sciences (HVL), 2022.
  180. Arianna Salazar Miranda. The shape of segregation: The role of urban form in immigrant assimilation. Cities, 106:102852, 2020.
  181. Does the urban structure of swedish cities inhibit the sharing of public space? Built Environment, 37(2):155–169, 2011.
  182. Magda Bolzoni. Spaces of distinction, spaces of segregation. nightlife and consumption in a central neighbourhood of turin. Méditerranée. Revue géographique des pays méditerranéens/Journal of Mediterranean geography, (127):59–68, 2016.
  183. Liveable streets and social inclusion. Urban Design International, 13(2):67–79, 2008.
  184. A Van Nes and L Aghabeik. Ethnic groups and spatial behaviour in rotterdam’s neighbourhoods. In SSS10: Proceedings of the 10th International Space Syntax Symposium, London, UK, 13-17 July 2015, pages 102.1–102.17. Space Syntax Laboratory, The Bartlett School of Architecture, UCL, 2015.
  185. Spatial segregation and urban form in mexican cities. Environment and Planning B: Urban Analytics and City Science, 46(7):1347–1361, 2019.
  186. W Alghatam. The generic patterns of urban village space: the ugly side of integration and the power of choice movement. In 12th International Space Syntax Symposium, SSS 2019, 2019.
  187. On the subjective quality of social interactions: Influence of neighborhood walkability, social cohesion and mobility choices. Transportation research part A: policy and practice, 106:309–319, 2017.
  188. Built environment, urban vitality and social cohesion: Do vibrant neighborhoods foster strong communities? Landscape and Urban Planning, 204:103951, 2020.
  189. Neighborhood environments and inclusive cities: An empirical study of local residents’ attitudes toward migrant social integration in beijing, china. Landscape and Urban Planning, 226:104495, 2022.
  190. Coexistence in space: Stimulating encounter in the socially fragmented open urban fabrics. Built Environment, 48(3):364–392, 2022.
  191. Socio-spatial integration in innovation districts: Singapore’s mixed-use experiment. Cities, 140:104405, 2023.
  192. Navya P. Samson. The socio-spatial relations of the accessibility of parks in chicago. In Proceedings - 11th International Space Syntax Symposium, SSS 2017, pages 108.1–108.14, 2017. URL https://www.scopus.com/inward/record.uri?eid=2-s2.0-85031100525&partnerID=40&md5=7bc2cf1f9af412a9f28434ec88343ad7.
  193. In search of common grounds: Stitching the divided landscape of urban parks in belfast. Cities, 44:40–49, 2015.
  194. Exploring the disparities in park access through mobile phone data: Evidence from shanghai, china. Landscape and urban planning, 181:80–91, 2019.
  195. Shaleen Miller. Park access and equity in a segregated, southern us city: A case study of tallahassee, fl. Environmental Justice, 12(3):85–91, 2019.
  196. An ethno-linguistic dimension in transnational activity space measured with mobile phone data. Humanities and Social Sciences Communications, 7(1):1–13, 2020.
  197. Thinking in rural gap: mobility and social inequalities. Palgrave Communications, 5(1), 2019.
  198. Lukas Utzig. Urban integration of refugee homes: Spatial potential for integrative social processes. In Proceedings - 11th International Space Syntax Symposium, SSS 2017, pages 156.1–156.14, 2017.
  199. Residential segregation and commuting patterns of migrant workers in china. Transportation Research Part D: Transport and Environment, 52:586–599, 2017.
  200. Residential segregation, built environment and commuting outcomes: experience from contemporary china. Transport Policy, 116:269–277, 2022.
  201. Philip ME Garboden. You can’t get there from here: Mobility networks and the housing choice voucher program. Journal of Planning Education and Research, page 0739456X211051774, 2021.
  202. Ruth Joan Nelson. The spatial and social logic of the minibus taxi network: how access may support social inclusion in cape town, south africa. Applied Mobilities, 8(1):1–25, 2023.
  203. The inequality effects of public transport fare: The case of lisbon’s fare reform. Journal of Transport Geography, 112:103685, 2023.
  204. Nicolás Valenzuela-Levi. Income inequality and rule-systems within public transport: A study of medellín (colombia) and santiago (chile). Journal of Transport Geography, 112:103700, 2023.
  205. Chris L Hess. Light-rail investment in seattle: Gentrification pressures and trends in neighborhood ethnoracial composition. Urban Affairs Review, 56(1):154–187, 2020.
  206. Gis-based equity gap analysis: Case study of baltimore bike share program. Urban Science, 3(2):42, 2019.
  207. Is the london cycle hire scheme becoming more inclusive? an evaluation of the shifting spatial distribution of uptake based on 70 million trips. Transportation Research Part A: Policy and Practice, 140:1–15, 2020.
  208. The sidewalk as a contested space: Women’s negotiation of socio-spatial processes of exclusion in public urban space in saudi arabia; the case of al tahlia street. Planning Practice & Research, 33(2):186–210, 2018.
  209. The urban socio-environmental impact of a mixed-use street in fostering refugee integration in the host society. Journal of Asian Architecture and Building Engineering, pages 1–13, 2023.
  210. Home-work carpooling for social mixing. Transportation, 47:2671–2701, 2020.
  211. Inequitable effects of transportation policies on minorities. Transportation research record, 1885(1):104–110, 2004.
  212. John McDonagh. Transport policy instruments and transport-related social exclusion in rural republic of ireland. Journal of Transport Geography, 14(5):355–366, 2006.
  213. Willingness to pay for accessibility under the conditions of residential segregation. International Journal of Strategic Property Management, 18(2):101–115, 2014.
  214. Methods for countering spatial inequality: Incorporating strategic opportunities for housing preservation into transit-oriented development planning. Landscape and Urban Planning, 177:317–327, 2018.
  215. Socio-spatial segregation and the spatial structure of ‘ordinary’activities in the global south. Urban Planning, 5(3):303–318, 2020.
  216. Assessing the effect of urban form on social sustainability: A proposed ‘integrated measuring tools method’for urban neighborhoods in dubai. City, Territory and Architecture, 8:1–21, 2021.
  217. Segregation or integration? exploring activity disparities between migrants and settled urban residents using human mobility data. Transactions in GIS, 25(6):2791–2820, 2021.
  218. Ethnic segregation during public and national holidays: A study using mobile phone data. Geografiska Annaler: Series B, Human Geography, 98(3):205–219, 2016.
  219. James Saxon. Empirical measures of park use in american cities, and the demographic biases of spatial models. Geographical Analysis, 53(4):665–685, 2021.
  220. From individual to collective behaviours: exploring population heterogeneity of human mobility based on social media data. EPJ Data Science, 8(1):1–22, 2019.
  221. Yuan Liao. Understanding Mobility and Transport Modal Disparities Using Emerging Data Sources: Modelling Potentials and Limitations. Chalmers Tekniska Hogskola (Sweden), 2021.
  222. Comparison of home detection algorithms using smartphone gps data. EPJ Data Science, 13(1):6, 2024.
  223. Evaluation of home detection algorithms on mobile phone data using individual-level ground truth. EPJ data science, 10(1):29, 2021.
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Authors (5)
  1. Yuan Liao (52 papers)
  2. Jorge Gil (3 papers)
  3. Sonia Yeh (2 papers)
  4. Rafael H. M. Pereira (4 papers)
  5. Laura Alessandretti (26 papers)
Citations (3)

Summary

Overview of Socio-Spatial Segregation and Human Mobility

The paper "Socio-spatial segregation and human mobility: A review of empirical evidence" collates and critically assesses the vast literature on socio-spatial segregation, focusing on how individual mobility patterns influence this phenomenon. The paper synthesizes findings from both traditional data sources (such as travel surveys and census data) and emerging sources (e.g., GPS and mobile phone data), providing a comprehensive picture of the complex interplay between human mobility and urban segregation.

Key Findings and Research Questions

The paper centers around three critical questions: the contribution of individual mobility to segregation, the factors influencing this role, and the insights gleaned from incorporating extensive mobility data into segregation research. While traditional studies often focus on residential segregation, this paper highlights the significance of socio-spatial segregation encompassing daily activities and movement patterns. It acknowledges that daily mobility, through work, school, leisure, and other activities, can either reinforce or attenuate the segregation patterns observed solely based on residential data.

Evidence from Data and Methodologies

The paper elucidates the role of human mobility in socio-spatial segregation, assessed through both qualitative and quantitative lenses. Empirical studies employing traditional data sources, such as interviews and surveys, have shown that mobility has the potential to both reduce and reinforce segregation, with empirical mobility data providing a more nuanced understanding of segregation dynamics. Emerging data sources extend these paradigms by offering high-resolution spatiotemporal data, which helps capture the complexity of daily mobility patterns and their influence on segregation. However, challenges such as data bias and privacy concerns are prevalent with these large-scale data applications.

Disparities and Factors Influencing Segregation

The paper extensively discusses how socio-economic status, ethnicity, and lifestyle choices contribute to differing segregation experiences among individuals. Key influencing factors include access to transport, urban design, and housing policies, which govern the extent of mobility and exposure to diverse populations. Studies noted the pronounced effect of homophily, where individuals tend to interact within similar socio-economic or ethnic groups, further reinforcing segregation dynamics.

Implications and Future Research Directions

The implications of these findings are significant for urban planning and policy-making. By leveraging empirical mobility data, urban planners can better design spaces and transport systems that promote social integration and mitigate segregation. The authors urge further exploration of the causal relationships between socio-spatial segregation and dynamic mobility patterns, advocating for an interdisciplinary approach that combines urban planning with insights from transport and data science.

Conclusion

In summary, this paper offers a comprehensive review of the role of human mobility in socio-spatial segregation, bringing together diverse data sources and methodological approaches. It highlights the critical need for policies that consider both residential and dynamic activity spaces to address and reduce socio-spatial segregation effectively. Future research should aim to deepen the understanding of the socio-economic and cultural dimensions influencing mobility choices and their subsequent impact on segregation experiences.