IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v51y2024i2p347-365.html

Intersectional approach of everyday geography

Author

Listed:
  • Julie Vallée
  • Maxime Lenormand

Abstract

Hour-by-hour variations in spatial distribution of gender, age and social class within cities remain poorly explored and combined in the segregation literature mainly centred on home places from a single social dimension. Taking advantage of 49 mobility surveys compiled together (385,000 respondents and 1,711,000 trips) and covering 60% of France’s population, we consider variations in hourly populations of 2572 districts after disaggregating population across gender, age and education level. We first isolate five district hourly profiles (two ‘daytime attractive’, two ‘nighttime attractive’ and one more ‘stable’) with very unequal distributions according to urban gradient but also to social groups. We then explore the intersectional forms of these everyday geographies. Taking as reference the dominant groups (men, middle-age and high educated people) known as concentrating hegemonic power and capital, we analyze specifically whether district hourly profiles of dominant groups diverge from those of the others groups. It is especially in the areas exhibiting strong increase or strong decrease of ambient population during the day that district hourly profiles not only combine the largest dissimilarities all together across gender, age and education level but are also widely more synchronous between dominant groups than between non-dominant groups (women, elderly and low-educated people). These intersectional patterns shed new light on areas where peers are synchronously located over the 24-hour period and thus potentially in better position to interact and to defend their common interests.

Suggested Citation

  • Julie Vallée & Maxime Lenormand, 2024. "Intersectional approach of everyday geography," Environment and Planning B, , vol. 51(2), pages 347-365, February.
  • Handle: RePEc:sae:envirb:v:51:y:2024:i:2:p:347-365
    DOI: 10.1177/23998083231174025
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/23998083231174025
    Download Restriction: no

    File URL: https://libkey.io/10.1177/23998083231174025?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. David Wong & Shih-Lung Shaw, 2011. "Measuring segregation: an activity space approach," Journal of Geographical Systems, Springer, vol. 13(2), pages 127-145, June.
    2. Monique Pinçon†Charlot & Michel Pinçon, 2018. "Social Power and Power Over Space: How the Bourgeoisie Reproduces itself in the City," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 42(1), pages 115-125, January.
    3. Garbinti, Bertrand & Goupille-Lebret, Jonathan & Piketty, Thomas, 2018. "Income inequality in France, 1900–2014: Evidence from Distributional National Accounts (DINA)," Journal of Public Economics, Elsevier, vol. 162(C), pages 63-77.
    4. Richelle Winkler & Rozalynn Klaas, 2012. "Residential segregation by age in the United States," Journal of Maps, Taylor & Francis Journals, vol. 8(4), pages 374-378, December.
    5. Mei-Po Kwan, 1999. "Gender, the Home-Work Link, and Space-Time Patterns of Nonemployment Activities," Economic Geography, Taylor & Francis Journals, vol. 75(4), pages 370-394, October.
    6. Judith K. Hellerstein & David Neumark, 2008. "Workplace Segregation in the United States: Race, Ethnicity, and Skill," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 459-477, August.
    7. Farber, Steven & O'Kelly, Morton & Miller, Harvey J. & Neutens, Tijs, 2015. "Measuring segregation using patterns of daily travel behavior: A social interaction based model of exposure," Journal of Transport Geography, Elsevier, vol. 49(C), pages 26-38.
    8. Le Roux, Guillaume & Vallée, Julie & Commenges, Hadrien, 2017. "Social segregation around the clock in the Paris region (France)," Journal of Transport Geography, Elsevier, vol. 59(C), pages 134-145.
    9. Chen Zhong & Michael Batty & Ed Manley & Jiaqiu Wang & Zijia Wang & Feng Chen & Gerhard Schmitt, 2016. "Variability in Regularity: Mining Temporal Mobility Patterns in London, Singapore and Beijing Using Smart-Card Data," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-17, February.
    10. Santi Phithakkitnukoon & Zbigniew Smoreda & Patrick Olivier, 2012. "Socio-Geography of Human Mobility: A Study Using Longitudinal Mobile Phone Data," PLOS ONE, Public Library of Science, vol. 7(6), pages 1-9, June.
    11. Abbasi, Sorath & Ko, Joonho & Min, Jaehong, 2021. "Measuring destination-based segregation through mobility patterns: Application of transport card data," Journal of Transport Geography, Elsevier, vol. 92(C).
    12. Laetitia Gauvin & Michele Tizzoni & Simone Piaggesi & Andrew Young & Natalia Adler & Stefaan Verhulst & Leo Ferres & Ciro Cattuto, 2020. "Gender gaps in urban mobility," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 7(1), pages 1-13, December.
    13. Sibylle Gollac & Céline Bessière, 2020. "Le genre du capital. Comment la famille reproduit les inégalités," Post-Print hal-03089567, HAL.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kolkowski, Lukas & Cats, Oded & Dixit, Malvika & Verma, Trivik & Jenelius, Erik & Cebecauer, Matej & Rubensson, Isak Jarlebring, 2023. "Measuring activity-based social segregation using public transport smart card data," Journal of Transport Geography, Elsevier, vol. 110(C).
    2. Le Roux, Guillaume & Vallée, Julie & Commenges, Hadrien, 2017. "Social segregation around the clock in the Paris region (France)," Journal of Transport Geography, Elsevier, vol. 59(C), pages 134-145.
    3. David C. Maré & Jacques Poot, 2019. "Commuting to diversity," Motu Working Papers 19_20, Motu Economic and Public Policy Research.
    4. Shen, Yao, 2019. "Segregation through space: A scope of the flow-based spatial interaction model," Journal of Transport Geography, Elsevier, vol. 76(C), pages 10-23.
    5. Abbasi, Sorath & Ko, Joonho & Min, Jaehong, 2021. "Measuring destination-based segregation through mobility patterns: Application of transport card data," Journal of Transport Geography, Elsevier, vol. 92(C).
    6. Jennifer Candipan & Nolan Edward Phillips & Robert J Sampson & Mario Small, 2021. "From residence to movement: The nature of racial segregation in everyday urban mobility," Urban Studies, Urban Studies Journal Limited, vol. 58(15), pages 3095-3117, November.
    7. Qi-Li Gao & Chen Zhong & Yikang Wang, 2024. "Unpacking urban scaling and socio-spatial inequalities in mobility: Evidence from England," Environment and Planning B, , vol. 51(7), pages 1531-1547, September.
    8. Xian, Shi & Zhang, Huiying & Wang, Jiamin & Chen, Yu, 2025. "Gender differences in mobility: Exploring the non-linear relationship in multiple contexts using decision tree algorithms," Journal of Transport Geography, Elsevier, vol. 127(C).
    9. Matthew Hall & John Iceland & Youngmin Yi, 2019. "Racial Separation at Home and Work: Segregation in Residential and Workplace Settings," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 38(5), pages 671-694, October.
    10. Liu, Kai & Murayama, Yuji & Ichinose, Toshiaki, 2021. "A multi-view of the daily urban rhythms of human mobility in the Tokyo metropolitan area," Journal of Transport Geography, Elsevier, vol. 91(C).
    11. Yoo Min Park & Mei-Po Kwan, 2017. "Multi-Contextual Segregation and Environmental Justice Research: Toward Fine-Scale Spatiotemporal Approaches," IJERPH, MDPI, vol. 14(10), pages 1-19, October.
    12. Ryan, Jean & Pereira, Rafael H.M. & Andersson, Magnus, 2023. "Accessibility and space-time differences in when and how different groups (choose to) travel," Journal of Transport Geography, Elsevier, vol. 111(C).
    13. Zhang, Yanji & Wang, Jiejing & Kan, Changcheng, 2022. "Temporal variation in activity-space-based segregation: A case study of Beijing using location-based service data," Journal of Transport Geography, Elsevier, vol. 98(C).
    14. Jun Cao & Tanhua Jin & Zhou Mengyao & Tao Shou, 2026. "Does Telework Make People Experience More Segregation in Daily Activity Spaces?," Social Inclusion, Cogitatio Press, vol. 14.
    15. Yuxuan Zhou & Yi Lu, 2025. "Varying relationships between experienced income segregation and travel behaviour across neighbourhood social and urban contexts," Nature Communications, Nature, vol. 16(1), pages 1-15, December.
    16. Milias, Vasileios & Psyllidis, Achilleas & Bozzon, Alessandro, 2024. "Bridging or separating? Co-accessibility as a measure of potential place-based encounters," Journal of Transport Geography, Elsevier, vol. 121(C).
    17. Shen, Yue & Luo, Xueyao, 2023. "Linking spatial and temporal contexts to multi-contextual segregation by hukou status in urban China," Journal of Transport Geography, Elsevier, vol. 107(C).
    18. John Östh & Ian Shuttleworth & Thomas Niedomysl, 2018. "Spatial and temporal patterns of economic segregation in Sweden’s metropolitan areas: A mobility approach," Environment and Planning A, , vol. 50(4), pages 809-825, June.
    19. Liang Cai & Guangwen Song & Yanji Zhang, 2024. "Understanding neighborhood income segregation around the clock using mobile phone ambient population data," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
    20. Xian, Shi & Qi, Zhixin & Yip, Ngai-ming, 2022. "Beyond home neighborhood: Mobility, activity and temporal variation of socio-spatial segregation," Journal of Transport Geography, Elsevier, vol. 99(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:envirb:v:51:y:2024:i:2:p:347-365. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.