IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v573y2021ics0378437121002156.html
   My bibliography  Save this article

Avalanches in an extended Schelling model: An explanation of urban gentrification

Author

Listed:
  • Ortega, Diego
  • Rodríguez-Laguna, Javier
  • Korutcheva, Elka

Abstract

In this work we characterize sudden increases in the land price of certain urban areas, a phenomenon causing gentrification, via an extended Schelling model. An initial price rise forces some of the disadvantaged inhabitants out of the area, creating vacancies which other groups find economically attractive. Intolerance issues forces further displacements, possibly giving rise to an avalanche. We consider how gradual changes in the economic environment affect the urban architecture through such avalanche processes, when agents may enter or leave the city freely. The avalanches are characterized by power-law histograms, as it is usually the case in self-organized critical phenomena.

Suggested Citation

  • Ortega, Diego & Rodríguez-Laguna, Javier & Korutcheva, Elka, 2021. "Avalanches in an extended Schelling model: An explanation of urban gentrification," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
    • Handle: RePEc:eee:phsmap:v:573:y:2021:i:c:s0378437121002156
    DOI: 10.1016/j.physa.2021.125943
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437121002156
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2021.125943?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. L. Gauvin & J. Vannimenus & J.-P. Nadal, 2009. "Phase diagram of a Schelling segregation model," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 70(2), pages 293-304, July.
    2. Gillespie, Colin S., 2015. "Fitting Heavy Tailed Distributions: The poweRlaw Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 64(i02).
    3. Bartolozzi, M. & Leinweber, D.B. & Thomas, A.W., 2006. "Scale-free avalanche dynamics in the stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 370(1), pages 132-139.
    4. M. Bartolozzi & D. B. Leinweber & A. W. Thomas, 2006. "Scale-free avalanche dynamics in the stock market," Papers physics/0601171, arXiv.org, revised Jun 2006.
    5. Nicky Zachariou & Paul Expert & Misako Takayasu & Kim Christensen, 2015. "Generalised Sandpile Dynamics on Artificial and Real-World Directed Networks," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-13, November.
    6. Floriana Gargiulo & Yerali Gandica & Timoteo Carletti, 2017. "Emergent Dense Suburbs In A Schelling Metapopulation Model: A Simulation Approach," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 20(01), pages 1-17, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ortega, Diego & Rodríguez-Laguna, Javier & Korutcheva, Elka, 2022. "Segregation in spatially structured cities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P1).
    2. Leal, Fransisco C.B. & Vasconcelos, João V.A. & Negreiros-Neto, Luis G. & de Oliveira, Viviane M. & de Souza, Adauto J.F. & Barbosa, Anderson L.R. & Romaguera, Antonio R. de C., 2024. "Avalanche dynamics of zebrafish schools: Unveiling self-organization and phase transitions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 651(C).

    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. Zitis, Pavlos I. & Contoyiannis, Yiannis & Potirakis, Stelios M., 2022. "Critical dynamics related to a recent Bitcoin crash," International Review of Financial Analysis, Elsevier, vol. 84(C).
    2. M. Bartolozzi & C. Mellen, 2009. "Local Risk Decomposition for High-frequency Trading Systems," Papers 0904.4099, arXiv.org, revised Feb 2011.
    3. Dupoyet, B. & Fiebig, H.R. & Musgrove, D.P., 2010. "Gauge invariant lattice quantum field theory: Implications for statistical properties of high frequency financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(1), pages 107-116.
    4. Ortega, Diego & Rodríguez-Laguna, Javier & Korutcheva, Elka, 2021. "A Schelling model with a variable threshold in a closed city segregation model. Analysis of the universality classes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 574(C).
    5. Guifeng Su & Yi Zhang, 2023. "Significant suppression of segregation in Schelling’s metapopulation model with star-type underlying topology," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 96(7), pages 1-6, July.
    6. Anand Sahasranaman & Henrik Jeldtoft Jensen, 2018. "Ethnicity and wealth: The dynamics of dual segregation," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-22, October.
    7. Cura, Robin & Cottineau, Clémentine & Swerts, Elfie & Ignazzi, Cosmo Antonio & Bretagnolle, Anne & Vacchiani-Marcuzzo, Celine & Pumain, Denise, 2017. "The Old and the New: Qualifying City Systems in the World with Classical Models and New Data," SocArXiv pbzn6_v1, Center for Open Science.
    8. Katahira, Kei & Chen, Yu & Akiyama, Eizo, 2021. "Self-organized Speculation Game for the spontaneous emergence of financial stylized facts," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
    9. Cura, Robin & Cottineau, Clémentine & Swerts, Elfie & Ignazzi, Cosmo Antonio & Bretagnolle, Anne & Vacchiani-Marcuzzo, Celine & Pumain, Denise, 2017. "The Old and the New: Qualifying City Systems in the World with Classical Models and New Data," SocArXiv pbzn6, Center for Open Science.
    10. repec:wsi:acsxxx:v:21:y:2018:i:08:n:s0219525918500194 is not listed on IDEAS
    11. Shin, J.K. & Jung, P.S., 2013. "Analysis of phase transition points for a two-color agent-based model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(8), pages 1863-1872.
    12. Tiandong Wang & Sidney Resnick, 2023. "Poisson Edge Growth and Preferential Attachment Networks," Methodology and Computing in Applied Probability, Springer, vol. 25(1), pages 1-25, March.
    13. Xue Cui & Lu Yang, 2024. "Systemic risk and idiosyncratic networks among global systemically important banks," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 58-75, January.
    14. Kei Katahira & Yu Chen, 2019. "Heterogeneous wealth distribution, round-trip trading and the emergence of volatility clustering in Speculation Game," Papers 1909.03185, arXiv.org.
    15. Ribin Lye & James Peng Lung Tan & Siew Ann Cheong, 2012. "Understanding agent-based models of financial markets: a bottom-up approach based on order parameters and phase diagrams," Papers 1202.0606, arXiv.org.
    16. Hiroyasu Inoue, 2016. "Analyses of aggregate fluctuations of firm production network based on the self-organized criticality model," Evolutionary and Institutional Economics Review, Springer, vol. 13(2), pages 383-396, December.
    17. Jones, Jason J., 2021. "A Dataset for the Study of Identity at Scale: Annual Prevalence of American Twitter Users with specified Token in their Profile Bio - 2015-2020," SocArXiv cm5g7, Center for Open Science.
    18. S. Lozano & L. Calzada-Infante & B. Adenso-Díaz & S. García, 2019. "Complex network analysis of keywords co-occurrence in the recent efficiency analysis literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 609-629, August.
    19. Akihisa Okada & Daisuke Inoue & Shihori Koyama & Tadayoshi Matsumori & Hiroaki Yoshida, 2022. "Dynamical cooperation model for mitigating the segregation phase in Schelling’s model," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 95(10), pages 1-10, October.
    20. Pedro A. Solares-Hernández & Fernando A. Manzano & Francisco J. Pérez-Benito & J. Alberto Conejero, 2020. "Divisibility Patterns within Pascal Divisibility Networks," Mathematics, MDPI, vol. 8(2), pages 1-10, February.
    21. Weili Chen & Jun Wu & Zibin Zheng & Chuan Chen & Yuren Zhou, 2019. "Market Manipulation of Bitcoin: Evidence from Mining the Mt. Gox Transaction Network," Papers 1902.01941, arXiv.org.

    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:eee:phsmap:v:573:y:2021:i:c:s0378437121002156. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.