A multiobjective optimization approach to smart growth in land development

In this paper we apply a multiobjective optimization model of Smart Growth to land development. The term Smart Growth is meant to describe development strategies—that do not promote urban sprawl. However, the term is somewhat open to interpretation. The multiobjective aspects arise when considering...

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Bibliographic Details
Published in:Socio-economic planning sciences Vol. 40; no. 3; pp. 212 - 248
Main Authors: Gabriel, Steven A., Faria, José A., Moglen, Glenn E.
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.09.2006
Elsevier
Series:Socio-Economic Planning Sciences
Subjects:
Geographic Information System
Integer programming
Land use planning
Large Scale Optimization
Multiple objective programming
Quadratic programming
Smart Growth
USA, Pennsylvania, Montgomery Cty
USA, Maryland
Integer programming
Land use planning
Smart Growth
Multiple objective programming
Quadratic programming
Geographic Information System
Large Scale Optimization
ISSN:0038-0121, 1873-6041
Online Access:Get full text
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Summary:In this paper we apply a multiobjective optimization model of Smart Growth to land development. The term Smart Growth is meant to describe development strategies—that do not promote urban sprawl. However, the term is somewhat open to interpretation. The multiobjective aspects arise when considering the conflicting interests of the various stakeholders involved in land development decisions: the government planner, the environmentalist, the conservationist, and the land developer. We present a formulation—employing linear and convex quadratic objective functions subject to polyhedral and binary constraints for the stakeholders. The resulting optimization problems are convex, quadratic mixed integer programs that are NP-complete. We report numerical results with this model for Montgomery County, Maryland, and present them using a geographic information system (GIS).
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ISSN:0038-0121
1873-6041
DOI:10.1016/j.seps.2005.02.001