Maximilian Morio
University of Tübingen
15 Papers
32 Citations
Maximilian Morio is an academic researcher from University of Tübingen. The author has contributed to research in topics: Sustainability & Brownfield. The author has an hindex of 7, co-authored 15 publications.
Chat about Author
Papers
Designing sustainable and economically attractive brownfield revitalization options using an integrated assessment model
TL;DR: Results from the case-study application indicate that the integrated assessment provides help in the identification of land use options beneficial in both a sustainable and an economical sense and it is demonstrated that additional contributions to sustainability are not intrinsically tied to increased costs.
149
Integrated planning and spatial evaluation of megasite remediation and reuse options.
TL;DR: A framework of assessment methods and models that analyzes and visualizes site- and land use-specific spatial information at the screening level is described to support the derivation of recommendable land use layouts and to initiate further and more detailed planning.
80
Applying a multi-criteria genetic algorithm framework for brownfield reuse optimization: Improving redevelopment options based on stakeholder preferences
TL;DR: A framework for spatially explicit, integrated planning and assessment of brownfield redevelopment options using a multi-criteria genetic algorithm to determine optimal land use configurations with respect to assessment criteria and given constraints on the composition of land use classes is presented.
57
Spatially explicit computation of sustainability indicator values for the automated assessment of land-use options
TL;DR: A scheme to transfer the evaluation of site-specific sets of sustainability indicators into automated quantitative and spatially explicit assessments, which can be integrated into multidisciplinary spatial optimization algorithms is proposed.
43
Flow guided interpolation - A GIS-based method to represent contaminant concentration distributions in groundwater
TL;DR: The results reveal that flow guidance improves the representation of contaminant distribution for all cases examined in this study compared to ''unguided'' interpolation, and shows its strength when data of only a few sampling points are available.
30