IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v39y2012i2p198-212.html
   My bibliography  Save this article

An Activity-Based Cellular Automaton Model to Simulate Land-Use Dynamics

Author

Listed:
  • Jasper van Vliet
  • Jelle Hurkens
  • Roger White
  • Hedwig van Delden

Abstract

In recent decades several methods have been proposed to simulate land-use changes in a spatially explicit way. In these models land is generally represented on a lattice with cell states indicating the predominant land use. Since a cell can have only one state, mixed land uses and different densities of one land use can only be introduced superficially, as separate cell states. In this paper we describe a cellular automata model that simulates dynamics in both land uses and activities, where activities represent quantitative information, such as the number of inhabitants at a location. Therefore each cell has associated with it (1) a value representing one of a finite set of land-use classes, and (2) a vector of numerical values representing the quantity of each modelled activity that is present at that location. This allows simulation of incremental changes as well as mixed land uses. The proposed model is tested with a synthetic application that uses two activities: population and jobs. It simulates the emergence of human settlements over time from local interactions between activities and land uses. Assessment of results indicates that the model generates realistic urbanization patterns.

Suggested Citation

  • Jasper van Vliet & Jelle Hurkens & Roger White & Hedwig van Delden, 2012. "An Activity-Based Cellular Automaton Model to Simulate Land-Use Dynamics," Environment and Planning B, , vol. 39(2), pages 198-212, April.
    • Handle: RePEc:sae:envirb:v:39:y:2012:i:2:p:198-212
    DOI: 10.1068/b36015
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/b36015
    Download Restriction: no
    File URL: https://libkey.io/10.1068/b36015?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. van Delden, Hedwig & Stuczynski, Tomasz & Ciaian, Pavel & Paracchini, Maria Luisa & Hurkens, Jelle & Lopatka, Artur & Shi, Yu-e & Prieto, Oscar Gomez & Calvo, Silvia & van Vliet, Jasper & Vanhout, Roe, 2010. "Integrated assessment of agricultural policies with dynamic land use change modelling," Ecological Modelling, Elsevier, vol. 221(18), pages 2153-2166.
    2. Wickramasuriya, Rohan Chandralal & Bregt, Arnold K. & van Delden, Hedwig & Hagen-Zanker, Alex, 2009. "The dynamics of shifting cultivation captured in an extended Constrained Cellular Automata land use model," Ecological Modelling, Elsevier, vol. 220(18), pages 2302-2309.
    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. Gärtner, Dominique & Keller, Armin & Schulin, Rainer, 2013. "A simple regional downscaling approach for spatially distributing land use types for agricultural land," Agricultural Systems, Elsevier, vol. 120(C), pages 10-19.
    2. Han, Yu & Jia, Haifeng, 2017. "Simulating the spatial dynamics of urban growth with an integrated modeling approach: A case study of Foshan, China," Ecological Modelling, Elsevier, vol. 353(C), pages 107-116.
    3. María Blanco & Benjamin Van Doorslaer & Wolfgang Britz & Heinz-Peter Witzke, 2012. "Exploring the feasibility of integrating water issues into the CAPRI model," JRC Research Reports JRC77058, Joint Research Centre.
    4. Zhang, Yan & Chang, Xia & Liu, Yanfang & Lu, Yanchi & Wang, Yiheng & Liu, Yaolin, 2021. "Urban expansion simulation under constraint of multiple ecosystem services (MESs) based on cellular automata (CA)-Markov model: Scenario analysis and policy implications," Land Use Policy, Elsevier, vol. 108(C).
    5. van Vliet, Jasper & Hagen-Zanker, Alex & Hurkens, Jelle & van Delden, Hedwig, 2013. "A fuzzy set approach to assess the predictive accuracy of land use simulations," Ecological Modelling, Elsevier, vol. 261, pages 32-42.
    6. van Vliet, Jasper & Bregt, Arnold K. & Hagen-Zanker, Alex, 2011. "Revisiting Kappa to account for change in the accuracy assessment of land-use change models," Ecological Modelling, Elsevier, vol. 222(8), pages 1367-1375.
    7. Luoman Pu & Jiuchun Yang & Lingxue Yu & Changsheng Xiong & Fengqin Yan & Yubo Zhang & Shuwen Zhang, 2021. "Simulating Land-Use Changes and Predicting Maize Potential Yields in Northeast China for 2050," IJERPH, MDPI, vol. 18(3), pages 1-21, January.
    8. Lesong Zhao & Guangsheng Liu & Chunlong Xian & Jiaqi Nie & Yao Xiao & Zhigang Zhou & Xiting Li & Hongmei Wang, 2022. "Simulation of Land Use Pattern Based on Land Ecological Security: A Case Study of Guangzhou, China," IJERPH, MDPI, vol. 19(15), pages 1-20, July.
    9. Haixia Zhao & Binjie Gu & Xin Li & Mingjie Niu, 2024. "Evolution and Optimization Simulation of Coastal Chemical Industry Layout: A Case Study of Jiangsu Province, China," Land, MDPI, vol. 13(4), pages 1-18, March.
    10. Kolosz, B.W. & Athanasiadis, I.N. & Cadisch, G. & Dawson, T.P. & Giupponi, C. & Honzák, M. & Martinez-Lopez, J. & Marvuglia, A. & Mojtahed, V. & Ogutu, K.B.Z. & Van Delden, H. & Villa, F. & Balbi, S., 2018. "Conceptual advancement of socio-ecological modelling of ecosystem services for re-evaluating Brownfield land," Ecosystem Services, Elsevier, vol. 33(PA), pages 29-39.
    11. Mugurel Ionel JITEA & Diana Elena DUMITRAȘ & Vasile Alexandru SIMU, 2015. "An ex-ante impact assessment of the Common Agricultural Policy reform in the North-Western Romania," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 61(2), pages 88-103.
    12. Kovalevsky, Dmitry V. & Hewitt, Richard J, 2020. "Integrating actor dynamics with land use cellular automata for modelling climate and environmental policy implementation at regional level," SocArXiv 5wsng, Center for Open Science.
    13. Holman, I.P. & Brown, C & Janes, V & Sandars, D, 2017. "Can we be certain about future land use change in Europe? A multi-scenario, integrated-assessment analysis," Agricultural Systems, Elsevier, vol. 151(C), pages 126-135.
    14. Yang, Xin & Zheng, Xin-Qi & Chen, Rui, 2014. "A land use change model: Integrating landscape pattern indexes and Markov-CA," Ecological Modelling, Elsevier, vol. 283(C), pages 1-7.
    15. Jie Liu & Lang Zhang & Qingping Zhang, 2019. "The Development Simulation of Urban Green Space System Layout Based on the Land Use Scenario: A Case Study of Xuchang City, China," Sustainability, MDPI, vol. 12(1), pages 1-19, December.
    16. Zhang, Rui & Tian, Qing & Jiang, Luguang & Crooks, Andrew & Qi, Shuhua & Yang, Ruixin, 2018. "Projecting cropping patterns around Poyang lake and prioritizing areas for policy intervention to promote rice: A cellular automata model," Land Use Policy, Elsevier, vol. 74(C), pages 248-260.
    17. Bernardo Alves Furtado & Dick Ettema & Ricardo Machado Ruiz & Jelle Hurkens & Hedwig van Delden, 2012. "A Cellular Automata Intraurban Model with Prices and Income-Dif Erentiated Actors," Environment and Planning B, , vol. 39(5), pages 897-924, October.
    18. Yong Lai & Guangqing Huang & Shengzhong Chen & Shaotao Lin & Wenjun Lin & Jixin Lyu, 2021. "Land Use Dynamics and Optimization from 2000 to 2020 in East Guangdong Province, China," Sustainability, MDPI, vol. 13(6), pages 1-24, March.
    19. Xu Chen & Ruiguang Han & Ping Feng & Yongjie Wang, 2022. "Combined effects of predicted climate and land use changes on future hydrological droughts in the Luanhe River basin, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 110(2), pages 1305-1337, January.
    20. Chen, Chengjing & Liu, Yihua, 2021. "Spatiotemporal changes of ecosystem services value by incorporating planning policies: A case of the Pearl River Delta, China," Ecological Modelling, Elsevier, vol. 461(C).

    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:sae:envirb:v:39:y:2012:i:2:p:198-212. 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.