IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v9y2017i5p796-d98172.html
   My bibliography  Save this article

Analysis of the Effectiveness of Urban Land-Use-Change Models Based on the Measurement of Spatio-Temporal, Dynamic Urban Growth: A Cellular Automata Case Study

Author

Listed:
  • Yilun Liu

    (College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China
    Guangdong Province Key Laboratory for Land Use and Consolidation, Guangzhou 510642, China)

  • Yueming Hu

    (College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China
    Key Laboratory of the Ministry of Land and Resources for Construction Land Transformation, Guangzhou 510642, China)

  • Shaoqiu Long

    (College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China
    Key Laboratory of the Ministry of Land and Resources for Construction Land Transformation, Guangzhou 510642, China)

  • Luo Liu

    (College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China
    Guangdong Province Key Laboratory for Land Use and Consolidation, Guangzhou 510642, China)

  • Xiaoping Liu

    (School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China)

Abstract

Developing countries have been undergoing dramatic urban growth over the past three decades. It is essential to understand and simulate the urban growth process for smart urban planning and sustainable development purposes. Cellular automata (CA) modeling is an efficient approach to simulating urban land use/cover change; however, the traditional CA method has limitations in simulating the various urban growth patterns and processes. This study aims to analyze the influences of different urban growth characteristics on the effectiveness of CA modeling by conducting a case study over the area in the Pearl River Delta of Southern China. We used the growth rate, landscape expansion index, and spatial dependency to quantify the urban growth characteristics. The effectiveness of CA modeling was measured through a comparison of the simulation results with the reference data. The simulation results and validation analyses reveal that the traditional CA is not applicable for the following three situations: (1) the urban growth pattern characterized by less growth area or a higher ratio of outlying expansion; (2) the urban region that includes several subregions with disparate growth characteristics; and (3) the existence of temporal differences in growth characteristics over a long period.

Suggested Citation

  • Yilun Liu & Yueming Hu & Shaoqiu Long & Luo Liu & Xiaoping Liu, 2017. "Analysis of the Effectiveness of Urban Land-Use-Change Models Based on the Measurement of Spatio-Temporal, Dynamic Urban Growth: A Cellular Automata Case Study," Sustainability, MDPI, vol. 9(5), pages 1-15, May.
  • Handle: RePEc:gam:jsusta:v:9:y:2017:i:5:p:796-:d:98172
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/9/5/796/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/9/5/796/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. K C Clarke & S Hoppen & L Gaydos, 1997. "A Self-Modifying Cellular Automaton Model of Historical Urbanization in the San Francisco Bay Area," Environment and Planning B, , vol. 24(2), pages 247-261, April.
    2. R White & G Engelen, 1993. "Cellular Automata and Fractal Urban Form: A Cellular Modelling Approach to the Evolution of Urban Land-Use Patterns," Environment and Planning A, , vol. 25(8), pages 1175-1199, August.
    3. Lizhong Hua & Lina Tang & Shenghui Cui & Kai Yin, 2014. "Simulating Urban Growth Using the SLEUTH Model in a Coastal Peri-Urban District in China," Sustainability, MDPI, vol. 6(6), pages 1-16, June.
    4. Paul A Longley & Victor Mesev, 2000. "On the Measurement and Generalisation of Urban Form," Environment and Planning A, , vol. 32(3), pages 473-488, March.
    5. Michael P Johnson, 2001. "Environmental Impacts of Urban Sprawl: A Survey of the Literature and Proposed Research Agenda," Environment and Planning A, , vol. 33(4), pages 717-735, April.
    6. Shasha Lu & Xingliang Guan & Chao He & Jiali Zhang, 2014. "Spatio-Temporal Patterns and Policy Implications of Urban Land Expansion in Metropolitan Areas: A Case Study of Wuhan Urban Agglomeration, Central China," Sustainability, MDPI, vol. 6(8), pages 1-26, July.
    7. Robert Pontius & Wideke Boersma & Jean-Christophe Castella & Keith Clarke & Ton Nijs & Charles Dietzel & Zengqiang Duan & Eric Fotsing & Noah Goldstein & Kasper Kok & Eric Koomen & Christopher Lippitt, 2008. "Comparing the input, output, and validation maps for several models of land change," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 42(1), pages 11-37, March.
    8. Yu-Hsin Tsai, 2005. "Quantifying Urban Form: Compactness versus 'Sprawl'," Urban Studies, Urban Studies Journal Limited, vol. 42(1), pages 141-161, January.
    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. Jinyao Lin & Tongli Chen & Qiazi Han, 2018. "Simulating and Predicting the Impacts of Light Rail Transit Systems on Urban Land Use by Using Cellular Automata: A Case Study of Dongguan, China," Sustainability, MDPI, vol. 10(4), pages 1-16, April.
    2. Ismail Ercument Ayazli, 2019. "Monitoring of Urban Growth with Improved Model Accuracy by Statistical Methods," Sustainability, MDPI, vol. 11(20), pages 1-14, October.
    3. Shaoying Li & Xiaoping Liu & Zhigang Li & Zhifeng Wu & Zijun Yan & Yimin Chen & Feng Gao, 2018. "Spatial and Temporal Dynamics of Urban Expansion along the Guangzhou–Foshan Inter-City Rail Transit Corridor, China," Sustainability, MDPI, vol. 10(3), pages 1-18, February.
    4. Yishao Shi & Jie Wu & Shouzheng Shi, 2017. "Study of the Simulated Expansion Boundary of Construction Land in Shanghai Based on a SLEUTH Model," Sustainability, MDPI, vol. 9(6), pages 1-15, May.
    5. Ayanlade, Ayansina & Howard, Michael T., 2017. "Understanding changes in a Tropical Delta: A multi-method narrative of landuse/landcover change in the Niger Delta," Ecological Modelling, Elsevier, vol. 364(C), pages 53-65.
    6. Mahdis Sadat & Mahmood Zoghi & Bahram Malekmohammadi, 2020. "Spatiotemporal modeling of urban land cover changes and carbon storage ecosystem services: case study in Qaem Shahr County, Iran," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(8), pages 8135-8158, December.
    7. Jun Ren & Wei Zhou & Xuelu Liu & Liang Zhou & Jing Guo & Yonghao Wang & Yanjun Guan & Jingtian Mao & Yuhan Huang & Rongrong Ma, 2019. "Urban Expansion and Growth Boundaries in an Oasis City in an Arid Region: A Case Study of Jiayuguan City, China," Sustainability, MDPI, vol. 12(1), pages 1-21, December.
    8. Biao Zheng & Guangsheng Liu & Hongmei Wang & Yingxuan Cheng & Zongliang Lu & Huawei Liu & Xuexin Zhu & Miaomiao Wang & Lu Yi, 2018. "Study on the Delimitation of the Urban Development Boundary in a Special Economic Zone: A Case Study of the Central Urban Area of Doumen in Zhuhai, China," Sustainability, MDPI, vol. 10(3), pages 1-22, March.
    9. Sadooghi, Seyed Ehsan & Taleai, Mohammad & Abolhasani, Somaie, 2022. "Simulation of urban growth scenarios using integration of multi-criteria analysis and game theory," Land Use Policy, Elsevier, vol. 120(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. Youjung Kim & Galen Newman, 2019. "Climate Change Preparedness: Comparing Future Urban Growth and Flood Risk in Amsterdam and Houston," Sustainability, MDPI, vol. 11(4), pages 1-24, February.
    2. Yishao Shi & Jie Wu & Shouzheng Shi, 2017. "Study of the Simulated Expansion Boundary of Construction Land in Shanghai Based on a SLEUTH Model," Sustainability, MDPI, vol. 9(6), pages 1-15, May.
    3. Mariateresa Ciommi & Francesco M. Chelli & Margherita Carlucci & Luca Salvati, 2018. "Urban Growth and Demographic Dynamics in Southern Europe: Toward a New Statistical Approach to Regional Science," Sustainability, MDPI, vol. 10(8), pages 1-16, August.
    4. Liu, Dongya & Zheng, Xinqi & Zhang, Chunxiao & Wang, Hongbin, 2017. "A new temporal–spatial dynamics method of simulating land-use change," Ecological Modelling, Elsevier, vol. 350(C), pages 1-10.
    5. Brian Pickard & Joshua Gray & Ross Meentemeyer, 2017. "Comparing Quantity, Allocation and Configuration Accuracy of Multiple Land Change Models," Land, MDPI, vol. 6(3), pages 1-21, August.
    6. Eda Ustaoglu & Brendan Williams & Laura O. Petrov & Harutyun Shahumyan & Hedwig Van Delden, 2017. "Developing and Assessing Alternative Land-Use Scenarios from the MOLAND Model: A Scenario-Based Impact Analysis Approach for the Evaluation of Rapid Rail Provisions and Urban Development in the Greate," Sustainability, MDPI, vol. 10(1), pages 1-34, December.
    7. Xiaoli Hu & Xin Li & Ling Lu, 2018. "Modeling the Land Use Change in an Arid Oasis Constrained by Water Resources and Environmental Policy Change Using Cellular Automata Models," Sustainability, MDPI, vol. 10(8), pages 1-14, August.
    8. Jaekyung Lee & Galen Newman & Yunmi Park, 2018. "A Comparison of Vacancy Dynamics between Growing and Shrinking Cities Using the Land Transformation Model," Sustainability, MDPI, vol. 10(5), pages 1-17, May.
    9. Bosch, Martí & Chenal, Jérôme & Joost, Stéphane, 2019. "Addressing urban sprawl from the complexity sciences," MPRA Paper 93489, University Library of Munich, Germany.
    10. Luca Salvati & Vittorio Gargiulo Morelli, 2014. "Unveiling Urban Sprawl in the Mediterranean Region: Towards a Latent Urban Transformation?," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 38(6), pages 1935-1953, November.
    11. Pablo Barreira-González & Francisco Aguilera-Benavente & Montserrat Gómez-Delgado, 2019. "Implementation and calibration of a new irregular cellular automata-based model for local urban growth simulation: The MUGICA model," Environment and Planning B, , vol. 46(2), pages 243-263, February.
    12. Erqi Xu & Yimeng Chen, 2019. "Modeling Intersecting Processes of Wetland Shrinkage and Urban Expansion by a Time-Varying Methodology," Sustainability, MDPI, vol. 11(18), pages 1-24, September.
    13. Hashem Dadashpoor & Fardis Salarian, 2020. "Urban sprawl on natural lands: analyzing and predicting the trend of land use changes and sprawl in Mazandaran city region, Iran," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(2), pages 593-614, February.
    14. Juan Carlos Bárcena-Ruiz & F. Javier Casado-Izaga, 2018. "Optimal size of a residential area within a municipality," Journal of Economics, Springer, vol. 124(1), pages 75-92, May.
    15. 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.
    16. Liu, Xiaoping & Li, Xia & Shi, Xun & Wu, Shaokun & Liu, Tao, 2008. "Simulating complex urban development using kernel-based non-linear cellular automata," Ecological Modelling, Elsevier, vol. 211(1), pages 169-181.
    17. Apostolos Lagarias, 2013. "Dynamics of Urban Sprawl: Applying a CA-based Model to Explore Future Development Scenarios in Thessaloniki," ERSA conference papers ersa13p304, European Regional Science Association.
    18. Eduardo Gomes & Arnaud Banos & Patrícia Abrantes & Jorge Rocha, 2018. "Assessing the Effect of Spatial Proximity on Urban Growth," Sustainability, MDPI, vol. 10(5), pages 1-14, April.
    19. Youjung Kim & Galen Newman & Burak Güneralp, 2020. "A Review of Driving Factors, Scenarios, and Topics in Urban Land Change Models," Land, MDPI, vol. 9(8), pages 1-22, July.
    20. Luca Salvati, 2013. "Struttura produttiva, dinamiche di diffusione urbana e distribuzione spaziale dell?impermeabilizzazione del suolo: un?analisi esplorativa a scala locale," RIVISTA DI ECONOMIA E STATISTICA DEL TERRITORIO, FrancoAngeli Editore, vol. 2013(2), pages 22-36.

    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:9:y:2017:i:5:p:796-:d:98172. 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.