IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i6p2224-d1352585.html
   My bibliography  Save this article

Spatial Diversity Changes in Land Use and Land Cover Mix in Central European Capitals and Their Commuting Zones from 2006 to 2018

Author

Listed:
  • Dawid Kudas

    (Department of Geodesy, Faculty of Environmental Engineering and Land Surveying, University of Agriculture in Krakow, Balicka 253a, 30-149 Krakow, Poland)

  • Agnieszka Wnęk

    (Department of Geodesy, Faculty of Environmental Engineering and Land Surveying, University of Agriculture in Krakow, Balicka 253a, 30-149 Krakow, Poland)

  • Ľubica Hudecová

    (Department of Surveying, Faculty of Civil Engineering, Slovak University of Technology in Bratislava, Radlinského 11, 810-05 Bratislava, Slovakia)

  • Robert Fencik

    (Department of Theoretical Geodesy and Geoinformatics, Faculty of Civil Engineering, Slovak University of Technology in Bratislava, Radlinského 11, 810-05 Bratislava, Slovakia)

Abstract

This article investigates the land use and land cover (LULC) mosaic as a function of distance to the city centre. The research area is four Functional Urban Areas (FUAs) of the capitals of Central European countries: Czechia (Prague), Poland (Warsaw), Slovakia (Bratislava), and Hungary (Budapest). The article presents LULC mix changes in these FUAs in the context of transformations in urban cores and commuting zones of capital city metropolises, which have large populations and prominent positions in the country or region. The study makes use of Urban Atlas LULC data for 2006, 2012, and 2018. LULC change was analysed using a hexagonal tessellation with the hexagon as the basic spatial unit. Spatial entropy (ENT) and Simpson’s Diversity Index (SIDI) were employed. The change in ENT and SIDI were determined as a function of distance to urban cores, as well as changes on the first level of Urban Atlas nomenclature for 2006–2012 and 2012–2018, as well as on the third level of nomenclature for 2012–2018. The research shows that changes from 2006 to 2012 were more considerable than from 2012 to 2018. It also revealed that, if LULC classes are considered on the first level of nomenclature, diversity in urban cores grows and then declines in commuting zones. An analysis of diversity on the third level of nomenclature demonstrated its decline with the growing distance to the urban core. It has also been demonstrated that the mean values of ENT and SIDI are approximately twice as high in urban cores as in commuting zones, indicating a plateau of the mean value of ENT and SIDI over the study period in urban cores compared to an increase in commuting zones around them. The conducted research will be helpful to urban planners and decision-makers in directing the further, inevitable development of metropolitan areas in accordance with sustainable environmental management.

Suggested Citation

  • Dawid Kudas & Agnieszka Wnęk & Ľubica Hudecová & Robert Fencik, 2024. "Spatial Diversity Changes in Land Use and Land Cover Mix in Central European Capitals and Their Commuting Zones from 2006 to 2018," Sustainability, MDPI, vol. 16(6), pages 1-16, March.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:6:p:2224-:d:1352585
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/6/2224/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/6/2224/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chen Liping & Sun Yujun & Sajjad Saeed, 2018. "Monitoring and predicting land use and land cover changes using remote sensing and GIS techniques—A case study of a hilly area, Jiangle, China," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-23, July.
    2. H Taubenböck & C Gerten & K Rusche & S Siedentop & M Wurm, 2019. "Patterns of Eastern European urbanisation in the mirror of Western trends – Convergent, unique or hybrid?," Environment and Planning B, , vol. 46(7), pages 1206-1225, September.
    3. Raman, Rewati & Roy, Uttam Kumar, 2019. "Taxonomy of urban mixed land use planning," Land Use Policy, Elsevier, vol. 88(C).
    4. Birch, Colin P.D. & Oom, Sander P. & Beecham, Jonathan A., 2007. "Rectangular and hexagonal grids used for observation, experiment and simulation in ecology," Ecological Modelling, Elsevier, vol. 206(3), pages 347-359.
    5. Kuemmerle, Tobias & Levers, Christian & Erb, Karlheinz & Estel, Stephan & Jepsen, Martin R & Müller, Daniel & Plutzar, Christoph & Stürck, Julia & Verkerk, Pieter J & Verburg, Peter H & Reenberg, Anet, 2016. "Hotspots of land use change in Europe," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 11(6), pages 1-14.
    6. Simon N. Wood, 2004. "Stable and Efficient Multiple Smoothing Parameter Estimation for Generalized Additive Models," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 673-686, January.
    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. Dawid Kudas & Agnieszka Wnęk & Lucia Tátošová, 2022. "Land Use Mix in Functional Urban Areas of Selected Central European Countries from 2006 to 2012," IJERPH, MDPI, vol. 19(22), pages 1-17, November.
    2. Francesca Pilotto & Ingolf Kühn & Rita Adrian & Renate Alber & Audrey Alignier & Christopher Andrews & Jaana Bäck & Luc Barbaro & Deborah Beaumont & Natalie Beenaerts & Sue Benham & David S. Boukal & , 2020. "Meta-analysis of multidecadal biodiversity trends in Europe," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    3. Tetsuya Tsurumi & Shunsuke Managi, 2025. "Income and Subjective Well-Being: The Importance of Index Choice for Sustainable Economic Development," Sustainability, MDPI, vol. 17(12), pages 1-32, June.
    4. Fiaschi, Davide & Lavezzi, Andrea Mario, 2007. "Nonlinear economic growth: Some theory and cross-country evidence," Journal of Development Economics, Elsevier, vol. 84(1), pages 271-290, September.
    5. Alla A. Petukhina & Raphael C. G. Reule & Wolfgang Karl Härdle, 2021. "Rise of the machines? Intraday high-frequency trading patterns of cryptocurrencies," The European Journal of Finance, Taylor & Francis Journals, vol. 27(1-2), pages 8-30, January.
    6. Danning Chen & Weifeng Chen & Xincun Zhu & Shugang Xie & Peiyu Du & Xiaolong Chen & Dong Lv, 2025. "Multi-Scenario Simulation and Restoration Strategy of Ecological Security Pattern in the Yellow River Delta," Sustainability, MDPI, vol. 17(20), pages 1-28, October.
    7. González-García, Alberto & Palomo, Ignacio & González, José A. & López, César A. & Montes, Carlos, 2020. "Quantifying spatial supply-demand mismatches in ecosystem services provides insights for land-use planning," Land Use Policy, Elsevier, vol. 94(C).
    8. Longhi, Christian & Musolesi, Antonio & Baumont, Catherine, 2014. "Modeling structural change in the European metropolitan areas during the process of economic integration," Economic Modelling, Elsevier, vol. 37(C), pages 395-407.
    9. Strasak, Alexander M. & Umlauf, Nikolaus & Pfeiffer, Ruth M. & Lang, Stefan, 2011. "Comparing penalized splines and fractional polynomials for flexible modelling of the effects of continuous predictor variables," Computational Statistics & Data Analysis, Elsevier, vol. 55(4), pages 1540-1551, April.
    10. Daniel Melser & Robert J. Hill, 2019. "Residential Real Estate, Risk, Return and Diversification: Some Empirical Evidence," The Journal of Real Estate Finance and Economics, Springer, vol. 59(1), pages 111-146, July.
    11. Tetsuya Tsurumi & Rintaro Yamaguchi & Kazuki Kagohashi & Shunsuke Managi, 2021. "Are Cognitive, Affective, and Eudaimonic Dimensions of Subjective Well-Being Differently Related to Consumption? Evidence from Japan," Journal of Happiness Studies, Springer, vol. 22(6), pages 2499-2522, August.
    12. Sungsoo Yoon & Youngjoo Moon & Jinah Jeong & Chan-Ryul Park & Wanmo Kang, 2021. "A Network-Based Approach for Reducing Pedestrian Exposure to PM 2.5 Induced by Road Traffic in Seoul," Land, MDPI, vol. 10(10), pages 1-14, October.
    13. Dorota Mantey, 2021. "Objective and Subjective Determinants of Neighborhood Satisfaction in the Context of Retrofitting Suburbs," Sustainability, MDPI, vol. 13(21), pages 1-19, October.
    14. Adam R. Pines & Bart Larsen & Zaixu Cui & Valerie J. Sydnor & Maxwell A. Bertolero & Azeez Adebimpe & Aaron F. Alexander-Bloch & Christos Davatzikos & Damien A. Fair & Ruben C. Gur & Raquel E. Gur & H, 2022. "Dissociable multi-scale patterns of development in personalized brain networks," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    15. Christopher T. Emrich & Yao Zhou & Sanam K. Aksha & Herbert E. Longenecker, 2022. "Creating a Nationwide Composite Hazard Index Using Empirically Based Threat Assessment Approaches Applied to Open Geospatial Data," Sustainability, MDPI, vol. 14(5), pages 1-25, February.
    16. Vitus Tankpa & Li Wang & Alfred Awotwi & Leelamber Singh & Samit Thapa & Raphael Ane Atanga & Xiaomeng Guo, 2021. "Modeling the effects of historical and future land use/land cover change dynamics on the hydrological response of Ashi watershed, northeastern China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(5), pages 7883-7912, May.
    17. Boura, Georgia & Ferguson, Neil S., 2024. "Incorporating geographic interdependencies into the resilience assessment of multimodal public transport networks," Journal of Transport Geography, Elsevier, vol. 118(C).
    18. Maria Fabrizia Clemente, 2022. "The Future Impacts of ESL Events in Euro-Mediterranean Coastal Cities: The Coast-RiskBySea Model to Assess the Potential Economic Damages in Naples, Marseille and Barcelona," Sustainability, MDPI, vol. 14(16), pages 1-22, August.
    19. Ryzhkov, Alexander & Sarzhan, Yuliya, 2020. "Market initiative and central planning: A study of the Moscow bus network," Research in Transportation Economics, Elsevier, vol. 83(C).
    20. Marchetti, Yuliya & Nguyen, Hai & Braverman, Amy & Cressie, Noel, 2018. "Spatial data compression via adaptive dispersion clustering," Computational Statistics & Data Analysis, Elsevier, vol. 117(C), pages 138-153.

    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:gam:jsusta:v:16:y:2024:i:6:p:2224-:d:1352585. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.