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A multiobjective land development optimization model: the case of New Castle County, Delaware

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  • Reza Taromi
  • Michael DuRoss
  • Bintong Chen
  • Ardeshir Faghri
  • Mingxin Li
  • Tracy DeLiberty

Abstract

This paper develops a multiobjective optimization model to consider transportation impacts of the future development of land. The output of the model is the best location and type of land use that has minimal negative transportation effects and uses the maximum available public transportation infrastructure. It provides tools for both planners and transportation engineers and enables them to consider different scenarios of possible policies and land development. Since multiple objectives and their nonlinear structures are considered, the model is solved using mixed integer nonlinear programming. The final results are shown in both tabular and graphical format. The effectiveness of the model is applied to the northern part of New Castle County, Delaware. The results show that the model successfully finds the best locations for both residential and commercial land uses in order to meet several criteria discussed in the paper.

Suggested Citation

  • Reza Taromi & Michael DuRoss & Bintong Chen & Ardeshir Faghri & Mingxin Li & Tracy DeLiberty, 2015. "A multiobjective land development optimization model: the case of New Castle County, Delaware," Transportation Planning and Technology, Taylor & Francis Journals, vol. 38(3), pages 277-304, April.
  • Handle: RePEc:taf:transp:v:38:y:2015:i:3:p:277-304
    DOI: 10.1080/03081060.2014.997450
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    References listed on IDEAS

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    3. Gabriel, Steven A. & Faria, Jose A. & Moglen, Glenn E., 2006. "A multiobjective optimization approach to smart growth in land development," Socio-Economic Planning Sciences, Elsevier, vol. 40(3), pages 212-248, September.
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    Cited by:

    1. Ashenafi Mehari & Paolo Vincenzo Genovese, 2023. "A Land Use Planning Literature Review: Literature Path, Planning Contexts, Optimization Methods, and Bibliometric Methods," Land, MDPI, vol. 12(11), pages 1-41, October.

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