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A Hybrid Land Conversion Model Incorporating Multiple End Uses

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  • Kaza, Nikhil
  • Towe, Charles A.
  • Ye, Xin

Abstract

The need for models that forecast land use change spans many disciplines and encompasses many approaches. Pattern-based models were the first in which projections of change at specific locations in actual landscapes could be predicted. In contrast, recent economic models have modeled the underlying behavioral process that produces land use change. This paper combines attributes from each approach into a hybrid model using a multiple discrete continuous extreme value formulation that allows for multiple conversion types, while also estimating the intensity of each type of conversion, which is an important but often overlooked dimension. We demonstrate the simulation routine, which successfully predicts a majority of growth by type, time, and location at a disaggregated scale, for a three-county region in Maryland.

Suggested Citation

  • Kaza, Nikhil & Towe, Charles A. & Ye, Xin, 2011. "A Hybrid Land Conversion Model Incorporating Multiple End Uses," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 40(3), pages 1-19, December.
    • Handle: RePEc:ags:arerjl:120447
    DOI: 10.22004/ag.econ.120447
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    3. Enam, Annesha & Konduri, Karthik C. & Pinjari, Abdul R. & Eluru, Naveen, 2018. "An integrated choice and latent variable model for multiple discrete continuous choice kernels: Application exploring the association between day level moods and discretionary activity engagement choi," Journal of choice modelling, Elsevier, vol. 26(C), pages 80-100.

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    Land Economics/Use;

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