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Related Experiment Video

Updated: May 7, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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Applying a multi-criteria genetic algorithm framework for brownfield reuse optimization: improving redevelopment

Maximilian Morio1, Sebastian Schädler, Michael Finkel

  • 1Universiät Tübingen, Center for Applied Geoscience, Hölderlinstraße 12, D-72074 Tübingen, Germany.

Journal of Environmental Management
|October 15, 2013
PubMed
Summary
This summary is machine-generated.

Redeveloping contaminated brownfields balances economic gains with sustainability. Integrating sustainability indicators into planning can significantly alter optimal land use patterns for brownfield redevelopment.

Keywords:
BrownfieldsLand use allocationMarket valueOptimizationRemediation costsSustainability

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Area of Science:

  • Environmental Planning
  • Urban Redevelopment
  • Sustainability Science

Background:

  • Brownfield redevelopment is crucial for reducing land and resource consumption.
  • Existing decision support systems often prioritize economics over sustainability.
  • There is a need for integrated frameworks assessing brownfield redevelopment options.

Purpose of the Study:

  • To present a framework for spatially explicit, integrated planning and assessment of brownfield redevelopment.
  • To incorporate sustainability indicators alongside economic aspects in decision-making.
  • To analyze trade-offs between economic goals and sustainable development.

Main Methods:

  • Utilized a multi-criteria genetic algorithm for optimizing land use configurations.
  • Included sustainability indicators and economic factors (remediation costs, land value) as assessment criteria.
  • Applied the framework to a case study of a former military site in Potsdam, Germany.

Main Results:

  • Identified trade-offs between remediation costs and increased land value.
  • Demonstrated that high-cost/high-value and low-cost/low-value reuse options can be economically comparable.
  • Showcased how integrating sustainability quantitatively can substantially alter optimal land use patterns.

Conclusions:

  • The developed framework effectively integrates economic and sustainability criteria for brownfield redevelopment.
  • Stakeholder preferences and trade-offs between conflicting objectives are crucial considerations.
  • Quantitative integration of sustainability is essential for informed brownfield land use planning.