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Spatial externalities, neighbourhood rules and CA land-use modelling

Author

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  • Michel Hagoort
  • Stan Geertman
  • Henk Ottens

Abstract

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Suggested Citation

  • Michel Hagoort & Stan Geertman & Henk Ottens, 2008. "Spatial externalities, neighbourhood rules and CA land-use modelling," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 42(1), pages 39-56, March.
    • Handle: RePEc:spr:anresc:v:42:y:2008:i:1:p:39-56
    DOI: 10.1007/s00168-007-0140-8
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    References listed on IDEAS

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    1. Smith, Tony E., 1976. "Spatial discounting and the gravity hypothesis," Regional Science and Urban Economics, Elsevier, vol. 6(4), pages 331-356, December.
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    Citations

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    Cited by:

    1. Henning S Hansen, 2012. "Empirically Derived Neighbourhood Rules for Urban Land-Use Modelling," Environment and Planning B, , vol. 39(2), pages 213-228, April.
    2. Changgang Ma & Min Zhou, 2018. "A GIS-Based Interval Fuzzy Linear Programming for Optimal Land Resource Allocation at a City Scale," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(1), pages 143-166, January.
    3. Yangyang Yuan & Yuchen Yang & Ruijun Wang & Yuning Cheng, 2022. "Predicting Rural Ecological Space Boundaries in the Urban Fringe Area Based on Bayesian Network: A Case Study in Nanjing, China," Land, MDPI, vol. 11(11), pages 1-24, October.
    4. Pilehforooshha, Parastoo & Karimi, Mohammad & Taleai, Mohammad, 2014. "A GIS-based agricultural land-use allocation model coupling increase and decrease in land demand," Agricultural Systems, Elsevier, vol. 130(C), pages 116-125.
    5. Guzman, Luis A. & Escobar, Francisco & Peña, Javier & Cardona, Rafael, 2020. "A cellular automata-based land-use model as an integrated spatial decision support system for urban planning in developing cities: The case of the Bogotá region," Land Use Policy, Elsevier, vol. 92(C).
    6. Eoin O’Neill & Michael Brennan & Finbarr Brereton & Harutyun Shahumyan, 2015. "Exploring a spatial statistical approach to quantify flood risk perception using cognitive maps," 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. 76(3), pages 1573-1601, April.
    7. Jing Yang & Feng Shi & Yizhong Sun & Jie Zhu, 2019. "A Cellular Automata Model Constrained by Spatiotemporal Heterogeneity of the Urban Development Strategy for Simulating Land-use Change: A Case Study in Nanjing City, China," Sustainability, MDPI, vol. 11(15), pages 1-19, July.
    8. LIANG, Jingmin & CHEN, Jiayu & TONG, De & LI, Xin, 2022. "Planning control over rural land transformation in Hong Kong: A remote sensing analysis of spatio-temporal land use change patterns," Land Use Policy, Elsevier, vol. 119(C).
    9. Mustafa Mokrech & Robert J Nicholls & Richard J Dawson, 2012. "Scenarios of Future Built Environment for Coastal Risk Assessment of Climate Change Using a GIS-Based Multicriteria Analysis," Environment and Planning B, , vol. 39(1), pages 120-136, February.
    10. Mutandwa, Edward & Grala, Robert K. & Grebner, Donald L., 2016. "Family forest land availability for the production of ecosystem services in Mississippi, United States," Forest Policy and Economics, Elsevier, vol. 73(C), pages 18-24.
    11. Ton de Nijs & Edzer Pebesma, 2010. "Estimating the Influence of the Neighbourhood in the Development of Residential Areas in the Netherlands," Environment and Planning B, , vol. 37(1), pages 21-41, February.

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    More about this item

    Keywords

    R14;

    JEL classification:

    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns

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