Advancing Urban Mobility Through Design Research: A Case Study on Applying Adaptive Curbside Management in a Space-Constrained Street Environment

Dynamic and Adaptive Curbside Management (ADCM) [1] advances traditional urban planning principles by enabling more flexible and responsive use of public space. While previous research has explored ADCM through autonomous robotic systems and modular elements, this study focuses on it's application in spatially constrained urban streets where full real-time adaptability is not feasible. Using Fraunhoferstraße in Munich as a case study - an arterial road with fixed tram infrastructure, high multimodal demand, and recent controversial design interventions - this research develops a practical, non-robotic design solution that integrates key elements of ADCM within the realm of existing regulations. The study applies design research, digital twin simulations, and stakeholder analysis to propose targeted urban interventions that improve functionality, safety, and urban livability. Currently; the conditions on Fraunhoferstraße are not favorable because of frequent traffic congestion, lack of shading, a lack of parking and loading zones, and a total absence of vegetation, leading to overall public disagreement with the current situation. This paper presents a strategy to improve the street's functionality through adaptive curb elements, improved space allocation, and urban design refinements that address the needs of all stakeholders - cyclists, pedestrians, public transit users, local businesses, and motorists. By showcasing a scalable and code-compliant approach, this research provides a model for integrating ADCM principles into historically significant and spatially-constrained urban environments.