Mixed integer linear programming approaches for land use planning that limit urban sprawl

•A mixed integer programming model is proposed for land use optimization.•The mixed integer programming model maximizes suitability as well as manage sprawl.•Benders’ decomposition is employed to solve large-scale quadratic MIP.•Results are presented for a case study for Leander, Texas.•Relationship...

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Bibliographic Details
Published in:	Computers & industrial engineering Vol. 102; pp. 33 - 43
Main Authors:	Kumar, Piyush, Rosenberger, Jay M., Iqbal, Gazi Md Daud
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.12.2016
Subjects:	Benders’ decomposition Bending machines Categories Land use Linear programming Mathematical models Metropolitan areas Mixed integer Mixed integer linear programming Sprawl Urban planning Urbanization Sprawl Benders’ decomposition Mixed integer linear programming Urban planning
ISSN:	0360-8352
Online Access:	Get full text
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