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Neighborhood impacts on land use change: a multinomial logit model of spatial relationships

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  • Bin Zhou
  • Kara Kockelman

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Suggested Citation

  • Bin Zhou & Kara Kockelman, 2008. "Neighborhood impacts on land use change: a multinomial logit model of spatial relationships," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 42(2), pages 321-340, June.
    • Handle: RePEc:spr:anresc:v:42:y:2008:i:2:p:321-340
    DOI: 10.1007/s00168-007-0149-z
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    References listed on IDEAS

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    1. James P. LeSage & R. Kelley Pace, 2004. "Models for Spatially Dependent Missing Data," The Journal of Real Estate Finance and Economics, Springer, vol. 29(2), pages 233-254, September.
    2. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    3. Fujita,Masahisa & Thisse,Jacques-François, 2013. "Economics of Agglomeration," Cambridge Books, Cambridge University Press, number 9781107001411.
    4. Kelejian, Harry H & Prucha, Ingmar R, 1998. "A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 99-121, July.
    5. J D Landis, 1994. "The California Urban Futures Model: A New Generation of Metropolitan Simulation Models," Environment and Planning B, , vol. 21(4), pages 399-420, August.
    6. Ota, Mitsuru & Fujita, Masahisa, 1993. "Communication technologies and spatial organization of multi-unit firms in metropolitan areas," Regional Science and Urban Economics, Elsevier, vol. 23(6), pages 695-729, December.
    7. Johnston, Robert & de la Barra, Thomas, 2000. "Comprehensive Regional Modeling for Long-Range Planning: Linking Integrated Urban Models and Geographic Information Systems," Institute of Transportation Studies, Working Paper Series qt0f97v7sn, Institute of Transportation Studies, UC Davis.
    8. R. Kelley Pace & James P. LeSage, 2004. "Spatial Statistics and Real Estate," The Journal of Real Estate Finance and Economics, Springer, vol. 29(2), pages 147-148, September.
    9. Johnston, Robert A. & de la Barra, Tomas, 2000. "Comprehensive regional modeling for long-range planning: linking integrated urban models and geographic information systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(2), pages 125-136, February.
    10. Irwin, Elena G. & Bockstael, Nancy E., 2004. "Land use externalities, open space preservation, and urban sprawl," Regional Science and Urban Economics, Elsevier, vol. 34(6), pages 705-725, November.
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    Citations

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    Cited by:

    1. Yiyi Wang & Kara Kockelman & Paul Damien, 2014. "A spatial autoregressive multinomial probit model for anticipating land-use change in Austin, Texas," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 52(1), pages 251-278, January.
    2. Hone-Jay Chu & Chen-Fa Wu & Yu-Pin Lin, 2013. "Incorporating Spatial Autocorrelation with Neural Networks in Empirical Land-Use Change Models," Environment and Planning B, , vol. 40(3), pages 384-404, June.
    3. Corral, Paul & Radchenko, Natalia, 2017. "What’s So Spatial about Diversification in Nigeria?," World Development, Elsevier, vol. 95(C), pages 231-253.
    4. Kim, Seung Gyu & Cho, Seong-Hoon & Classen, Roger, 2012. "Exploring Spatially Heterogeneous Effect of Property Tax Scheme on Land Development," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124709, Agricultural and Applied Economics Association.
    5. Zhou, Bin (Brenda) & Kockelman, Kara M., 2009. "Predicting the distribution of households and employment: a seemingly unrelated regression model with two spatial processes," Journal of Transport Geography, Elsevier, vol. 17(5), pages 369-376.
    6. Hanxue Wei & Lucien C. Wostenholme & John I. Carruthers, 2021. "Planning and Markets at Work: Seattle under Growth Management and Economic Pressure," Sustainability, MDPI, vol. 13(14), pages 1-18, July.
    7. Xiaokun Wang & Kara M. Kockelman, 2009. "Application of the dynamic spatial ordered probit model: Patterns of land development change in Austin, Texas," Papers in Regional Science, Wiley Blackwell, vol. 88(2), pages 345-365, June.
    8. Kim, Taeyoung & Langpap, Christian, 2016. "Agricultural landowners’ response to incentives for afforestation," Resource and Energy Economics, Elsevier, vol. 43(C), pages 93-111.
    9. Cervero, Robert & Kang, Chang Deok, 2011. "Bus rapid transit impacts on land uses and land values in Seoul, Korea," Transport Policy, Elsevier, vol. 18(1), pages 102-116, January.
    10. Páez, Antonio & López, Fernando A. & Ruiz, Manuel & Morency, Catherine, 2013. "Development of an indicator to assess the spatial fit of discrete choice models," Transportation Research Part B: Methodological, Elsevier, vol. 56(C), pages 217-233.
    11. Wang, Yiyi & Kockelman, Kara M. & Xiaokun (Cara) Wang, Xiaokun (Cara) Wang, 2013. "The impact of weight matrices on parameter estimation and inference: A case study of binary response using land-use data," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 6(3), pages 75-85.
    12. Taeyoung Kim & Christian Langpap, 2015. "Incentives for Carbon Sequestration Using Forest Management," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(3), pages 491-520, November.
    13. Shen, Yu & de Abreu e Silva, João & Martínez, Luis Miguel, 2014. "Assessing High-Speed Rail’s impacts on land cover change in large urban areas based on spatial mixed logit methods: a case study of Madrid Atocha railway station from 1990 to 2006," Journal of Transport Geography, Elsevier, vol. 41(C), pages 184-196.

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    More about this item

    Keywords

    R14; R11; C25;
    All these keywords.

    JEL classification:

    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

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