Optimizing Urban Street Networks for Intermodal Passenger Transport: A GIS-Based Multi-Criteria Approach to Road-Space Reallocation

European cities are increasingly forced to reduce the dominance of motor traffic and to redistribute limited street space to more sustainable, equitable, and people-centered mobility solutions.Even though policy commitments to accessibility, climate mitigation, and active mobility at the municipal level are commonplace, most local governments do not have clear and systematic tools used to understand when road-space reallocation is most appropriately and practically warranted.This master's thesis fills this gap by developing a spatially explicit, indicator-based framework for determining the potential of the reallocation of road-space at the district level.The research applies a Geographic Information Systems-based Multi-Criteria Decision Analysis approach, grounded in accessibility-oriented and justice-based transport planning theory.Based on the ideas of accessibility, transport justice, spatial efficiency, and regulatory preparedness, the spatial indicators are operationalized based on publicly available datasets.These indicators reflect the accessibility of public transport, the presence of active infrastructure of mobility, safety-related street features, and regulatory factors, and are combined using a clear Weighted Linear Combination approach.This framework is applied in a few districts of Berlin and Vienna as empirical test fields.The results indicate that the possibility of road-space redistribution is inherently multi-dimensional and cannot be deduced on the basis of the accessibility measures.The high suitability is observed where there is strong access to public transport, as well as dense active-mobility infrastructure and friendly regulatory frameworks with regard to traffic calming and parking controls.Districts that are strong in one dimension and weak in others achieve intermediate suitability, which implies specific interventions that can open up significant marginal gains.Sensitivity tests verify that the relative ranking of districts is resistant to the moderate changes in the weighting assumptions.Instead of dictating the precise design of the streets, the framework acts as a strategic decision-support instrument, allowing prioritization at the early stages and subsequently detailed analyses of the corridor at the corridor-level where they can be most successful.All in all, the research offers a generalizable and evidence-based approach that can be used to fill the gap between normative planning concepts and spatial decision-making, thus helping to provide clearer and fair solutions to urban street transformation.