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Not only in Germany the attractiveness of large cities leads to a crowding out of corporate real estate in prosperous areas. This affects local communities since the settlement of corporate real estate often entails considerable external (utility) effects. Avoiding this crowding out serves as the origin for developing an innovative methodology for systematic land suitability assessment. Using the current German geodata-initiatives, we can merge for the first time existing geospatial data sets and geographic information systems on the basis of compromise programming into a multidimensional decision-support system for real estate and urban development in Germany. Applied to the city of Düsseldorf, we empirically verify the added value of this new methodology. Not only identifies the multidimensional and GIS-based land suitability assessment new and additional parcels for private investors and developers of corporate real estate. Moreover, the GIS-model visualizes spatial clusters of available industrial land, which might as proactive landscape protection areas prevent the future crowding out of corporate real estate. Thus, the methodology makes an important contribution to an empirically-based commercial planning system by supporting the interdisciplinary exchange between private and public actors in real estate and urban development.