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Urban Ecological Security Simulation and Prediction Using an Improved Cellular Automata (CA) Approach—A Case Study for the City of Wuhan in China

Author

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  • Yuan Gao

    (School of Resource and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China)

  • Chuanrong Zhang

    (Department of Geography and Center for Environmental Sciences and Engineering, University of Connecticut, Storrs, CT 06269-4148, USA)

  • Qingsong He

    (School of Resource and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China)

  • Yaolin Liu

    (School of Resource and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
    Key Laboratory of Geographic Information System, Ministry of Education, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
    Collaborative Innovation Center for Geospatial Information Technology, Wuhan 430079, China)

Abstract

Ecological security is an important research topic, especially urban ecological security. As highly populated eco-systems, cities always have more fragile ecological environments. However, most of the research on urban ecological security in literature has focused on evaluating current or past status of the ecological environment. Very little literature has carried out simulation or prediction of future ecological security. In addition, there is even less literature exploring the urban ecological environment at a fine scale. To fill-in the literature gap, in this study we simulated and predicted urban ecological security at a fine scale (district level) using an improved Cellular Automata (CA) approach. First we used the pressure-state-response (PSR) method based on grid-scale data to evaluate urban ecological security. Then, based on the evaluation results, we imported the geographically weighted regression (GWR) concept into the CA model to simulate and predict urban ecological security. We applied the improved CA approach in a case study—simulating and predicting urban ecological security for the city of Wuhan in Central China. By comparing the simulated ecological security values from 2010 using the improved CA model to the actual ecological security values of 2010, we got a relatively high value of the kappa coefficient, which indicates that this CA model can simulate or predict well future development of ecological security in Wuhan. Based on the prediction results for 2020, we made some policy recommendations for each district in Wuhan.

Suggested Citation

  • Yuan Gao & Chuanrong Zhang & Qingsong He & Yaolin Liu, 2017. "Urban Ecological Security Simulation and Prediction Using an Improved Cellular Automata (CA) Approach—A Case Study for the City of Wuhan in China," IJERPH, MDPI, vol. 14(6), pages 1-20, June.
    • Handle: RePEc:gam:jijerp:v:14:y:2017:i:6:p:643-:d:101597
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    References listed on IDEAS

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    1. Michael Batty, 2005. "Agents, Cells, and Cities: New Representational Models for Simulating Multiscale Urban Dynamics," Environment and Planning A, , vol. 37(8), pages 1373-1394, August.
    2. Heng Sun & Wayne Forsythe & Nigel Waters, 2007. "Modeling Urban Land Use Change and Urban Sprawl: Calgary, Alberta, Canada," Networks and Spatial Economics, Springer, vol. 7(4), pages 353-376, December.
    3. Han, Baolong & Liu, Hongxiao & Wang, Rusong, 2015. "Urban ecological security assessment for cities in the Beijing–Tianjin–Hebei metropolitan region based on fuzzy and entropy methods," Ecological Modelling, Elsevier, vol. 318(C), pages 217-225.
    4. Daniel P. McMillen, 2004. "Geographically Weighted Regression: The Analysis of Spatially Varying Relationships," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(2), pages 554-556.
    5. Mike Hodson & Simon Marvin, 2009. "‘Urban Ecological Security’: A New Urban Paradigm?," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 33(1), pages 193-215, March.
    6. Huang, Qing & Wang, Ranghui & Ren, Zhiyuan & Li, Jing & Zhang, Huizhi, 2007. "Regional ecological security assessment based on long periods of ecological footprint analysis," Resources, Conservation & Recycling, Elsevier, vol. 51(1), pages 24-41.
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    Cited by:

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    4. Tekleweini Gereslassie & Ababo Workineh & Onyango Janet Atieno & Jun Wang, 2019. "Determination of Occurrences, Distribution, Health Impacts of Organochlorine Pesticides in Soils of Central China," IJERPH, MDPI, vol. 16(1), pages 1-18, January.

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