New Framework Solves the Babel of Shared Mobility Assessment

Urban transport networks across Europe are experiencing a major shift as shared mobility options like ride-hailing services, electric bikes, and carsharing attempt to reshape how people travel. Yet, urban planners face a fragmented landscape of conflicting metrics and overlapping definitions when trying to measure whether these new travel methods actually help cities. To solve this issue, researchers have designed a unified evaluation framework alongside a public data portal to bring order to urban transit research. The new evaluation design was published in the book Re-Generation in Transport, outlining a structured method to compare transit policies across different metropolitan areas.

Why Modern Urban Transit Research Needed a Common Language

Over the past decade, transit analysts developed a wide array of key performance indicators to capture everything from environmental impact to equity and user satisfaction. However, this abundance created what the study authors call a new tower of Babel for impact assessment. Different research teams used inconsistent units, varied spatial resolutions, and incompatible weighting schemes, making it nearly impossible to compare findings from one city to another. Without shared definitions, local authorities struggled to determine whether introducing electric scooter fleets or expanded bike-sharing lanes genuinely reduced private car dependence or simply added to street congestion.

How the Standardized Impact Evaluation Framework Operates

To overcome these inconsistencies, the team established the Standardized Impact Evaluation Framework, known as SIEF. This framework integrates four distinct horizontal levels: policy formulation, transport system performance, modal split changes, and broader sustainability outcomes. Each of these levels carefully distinguishes between actual measured changes and perceived changes reported by everyday commuters. By factoring in user perceptions, the framework acknowledges that psychological comfort, perceived safety, and social acceptance heavily dictate whether citizens will actually alter their daily travel habits.

The workflow connects specific policy measures to real-world outcomes in a sequential chain. Once local authorities implement push and pull measures, such as parking restrictions or subsidized micro-mobility, those actions alter transport system performance. If commuters notice improvements in travel time, cost, or reliability, they modify their choices and shift away from private automobiles. These cumulative modal shifts ultimately generate measurable environmental, economic, and social impacts for the municipality.

The Role of the New Open-Data Platform in City Benchmarking

Translating this theoretical structure into daily practice required a centralized technological tool. The study outlines the ongoing development of an Open-Data Platform designed to collect structured, harmonized data from multiple participating Living Labs across Europe. Municipal partners feed standardized survey results and operational metrics into the portal, allowing analysts to monitor performance over time. The platform features an interface where urban planners can view before-and-after comparisons of key performance indicators through visual graphics and dynamic tables.

To isolate the exact contribution of individual transit policies, the platform utilizes regression-based analytical models. Users can select a specific domain, such as economic or environmental performance, and examine which local measures drove the most significant variations in the data. Furthermore, the system incorporates multi-criteria decision analysis methods to handle both quantitative metrics like travel times and qualitative factors like neighborhood livability. This multi-perspective setup empowers city officials to adjust weighting priorities based on whether their primary goal is aggressive decarbonization or social accessibility.

Current Limitations and Next Steps for Municipal Collaboration

While the open data portal represents a significant leap forward in harmonized transit assessment, the authors note several limitations that must be navigated. Data heterogeneity across different cities remains a persistent hurdle, as local collection methods and baseline mobility cultures vary widely. To address this, the development team prioritized intuitive design to encourage additional municipalities to join the consortium and contribute standardized datasets. Platform developers note that while technical construction is actively underway, the first comprehensive public analyses from participating test beds are expected to arrive around 2026, marking a critical milestone for evidence-based European urban planning.

The research was published in Re-Generation in Transport on January 1, 2027.