IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v11y2024i1d10.1057_s41599-024-02833-9.html
   My bibliography  Save this article

Understanding neighborhood income segregation around the clock using mobile phone ambient population data

Author

Listed:
  • Liang Cai

    (The University of Chicago)

  • Guangwen Song

    (Guangzhou University)

  • Yanji Zhang

    (Fuzhou University)

Abstract

This study examines the temporal changes in income segregation within the ambient population around the clock using mobile phone big data. It employs ordinal entropy, a metric suited for measuring segregation among ordered groups, to quantify the level of segregation among eight income groups within micro-geographic units throughout the 24-h period on a weekday and a weekend day in the urban core of Guangzhou, China. The study further decomposes daily segregation by location and time profile. We identify urban functions and neighborhood contexts relevant for income segregation and explore their temporal variation. Using group-based trajectory analysis, we classify daily segregation trends among 400 m urban grids into seven distinct trajectories for both weekday and weekend. Our findings confirm that segregation fluctuates constantly. The role of local urban functions, particularly retail, accommodation, and offices, and neighborhood context, such as the number of residents and the share of non-local migrants, exhibits a significant temporal rhythm. The seemingly convoluted 24-h segregation time series among urban grids follow just a few distinct trajectories with clear geographical patterns. There is limited variability at individual grids both over the course of a day and across days. Shifts across different trajectory types between weekday and weekend are rare. The dynamic daily segregation in the ambient population per se may be an enduring characteristic of neighborhoods and a real-time channel for neighborhood contextual influences, potentially fueling long-term residential segregation and neighborhood change.

Suggested Citation

  • Liang Cai & Guangwen Song & Yanji Zhang, 2024. "Understanding neighborhood income segregation around the clock using mobile phone ambient population data," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
    • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-02833-9
    DOI: 10.1057/s41599-024-02833-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-024-02833-9
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/s41599-024-02833-9?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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. Jie Shen & Yang Xiao, 2020. "Emerging divided cities in China: Socioeconomic segregation in Shanghai, 2000–2010," Urban Studies, Urban Studies Journal Limited, vol. 57(6), pages 1338-1356, May.
    3. repec:nas:journl:v:115:y:2018:p:7735-7740 is not listed on IDEAS
    4. Sean F. Reardon & Kendra Bischoff & Ann Owens & Joseph B. Townsend, 2018. "Has Income Segregation Really Increased? Bias and Bias Correction in Sample-Based Segregation Estimates," Demography, Springer;Population Association of America (PAA), vol. 55(6), pages 2129-2160, December.
    5. Raj Chetty & Nathaniel Hendren & Lawrence F. Katz, 2016. "The Effects of Exposure to Better Neighborhoods on Children: New Evidence from the Moving to Opportunity Experiment," American Economic Review, American Economic Association, vol. 106(4), pages 855-902, April.
    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. 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.
    8. Malia Jones & Anne Pebley, 2014. "Redefining Neighborhoods Using Common Destinations: Social Characteristics of Activity Spaces and Home Census Tracts Compared," Demography, Springer;Population Association of America (PAA), vol. 51(3), pages 727-752, June.
    9. Erin York Cornwell & Kathleen A Cagney, 2017. "Aging in Activity Space: Results From Smartphone-Based GPS-Tracking of Urban Seniors," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 72(5), pages 864-875.
    10. Macintyre, Sally & Ellaway, Anne & Cummins, Steven, 2002. "Place effects on health: how can we conceptualise, operationalise and measure them?," Social Science & Medicine, Elsevier, vol. 55(1), pages 125-139, July.
    11. Sean Reardon & Stephen Matthews & David O’Sullivan & Barrett Lee & Glenn Firebaugh & Chad Farrell & Kendra Bischoff, 2008. "The geographic scale of Metropolitan racial segregation," Demography, Springer;Population Association of America (PAA), vol. 45(3), pages 489-514, August.
    12. 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.
    13. Lincoln Quillian & Hugues Lagrange, 2016. "Socioeconomic Segregation in Large Cities in France and the United States," Demography, Springer;Population Association of America (PAA), vol. 53(4), pages 1051-1084, August.
    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. 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).
    2. Wenfei Xu, 2022. "The contingency of neighbourhood diversity: Variation of social context using mobile phone application data," Urban Studies, Urban Studies Journal Limited, vol. 59(4), pages 851-869, March.
    3. 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.
    4. 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.
    5. David C. Maré & Jacques Poot, 2019. "Commuting to diversity," Working Papers 19_20, Motu Economic and Public Policy Research.
    6. 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.
    7. Lina Hedman & Kati Kadarik & Roger Andersson & John Östh, 2021. "Daily Mobility Patterns: Reducing or Reproducing Inequalities and Segregation?," Social Inclusion, Cogitatio Press, vol. 9(2), pages 208-221.
    8. Sharp, Gregory & Denney, Justin T. & Kimbro, Rachel T., 2015. "Multiple contexts of exposure: Activity spaces, residential neighborhoods, and self-rated health," Social Science & Medicine, Elsevier, vol. 146(C), pages 204-213.
    9. 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).
    10. Becky P. Y. Loo & Zhuangyuan Fan & Esteban Moro, 2024. "Residential and experienced social segregation: the roles of different transport modes, metro extensions, and longitudinal changes in Hong Kong," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
    11. Sandro Sousa & Vincenzo Nicosia, 2022. "Quantifying ethnic segregation in cities through random walks," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    12. Stefanie Jähnen & Marcel Helbig, 2023. "The dynamics of socio-economic segregation: What role do private schools play?," Urban Studies, Urban Studies Journal Limited, vol. 60(4), pages 734-751, March.
    13. Umut Türk & John Östh, 2023. "Introducing a spatially explicit Gini measure for spatial segregation," Journal of Geographical Systems, Springer, vol. 25(4), pages 469-488, October.
    14. Fei Li & Donggen Wang, 2017. "Measuring urban segregation based on individuals’ daily activity patterns: A multidimensional approach," Environment and Planning A, , vol. 49(2), pages 467-486, February.
    15. Nolan E. Phillips & Brian L. Levy & Robert J. Sampson & Mario L. Small & Ryan Q. Wang, 2021. "The Social Integration of American Cities: Network Measures of Connectedness Based on Everyday Mobility Across Neighborhoods," Sociological Methods & Research, , vol. 50(3), pages 1110-1149, August.
    16. Petteway, Ryan J. & Mujahid, Mahasin & Allen, Amani & Morello-Frosch, Rachel, 2019. "The body language of place: A new method for mapping intergenerational “geographies of embodiment” in place-health research," Social Science & Medicine, Elsevier, vol. 223(C), pages 51-63.
    17. Mira Frick & Ryota Iijima & Yuhta Ishii, 2018. "Dispersed Behavior and Perceptions in Assortative Societies," Cowles Foundation Discussion Papers 2128, Cowles Foundation for Research in Economics, Yale University.
    18. Xinming Du, 2023. "Symptom or Culprit? Social Media, Air Pollution, and Violence," CESifo Working Paper Series 10296, CESifo.
    19. Jähnen, Stefanie & Helbig, Marcel, 2022. "The dynamics of socio-economic segregation: What role do private schools play?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue OnlineFir, pages 1-1.
    20. Olle Järv & Anu Masso & Siiri Silm & Rein Ahas, 2021. "The Link Between Ethnic Segregation and Socio‐Economic Status: An Activity Space Approach," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 112(3), pages 319-335, July.

    More about this item

    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:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-02833-9. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.com/ .

    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.