Speaker
Description
The 15-minute city (15minC) model has emerged as a guiding framework for just and sustainable urban development, prioritizing proximity, connectivity, and diversity to enhance residents’ quality of life. While widely applied in dense urban centers, its implementation in suburban areas faces particular challenges due to the lower density, insufficient connectivity, and limited diversity in the land use characteristics of such areas.
To reduce suburban distances, promote accessibility, and achieve the 15minC goals in peripheral regions, this research rethinks distance as a function of time, and proposes an approach that advocates for faster and more cost-effective solutions. The 15minC model often lacks actionable translation, as its guiding principles often remain aspirational and compass-driven rather than process-oriented, measurable, and applicable to planning documents and urban strategies.
Therefore, this study addresses these research gaps by defining a comprehensive set of Key Performance Indicators (KPIs) to explore the potential of digitalization and integrated multimodal mobility strategies as enablers of the 15minC principles in suburban contexts. Five diverse case studies are examined across six countries in Europe: Spain, Portugal, Hungary, Italy, Germany, and Turkey.
The study’s methodology relies on key steps that include the identification of successful 15minC strategies, the assessment of available data sources for KPI measurement, and the primary definition of the set of KPIs. This is followed by conducting focus group workshops with local experts as a validation process, and sequentially by the refinement of the KPIs.
Preliminary findings suggest that while the KPIs provide a measurable framework for the 15minC, significant variations across case studies highlight the need for further refinement, additional data collection, and greater contextualisation in the next steps.
| Keywords | 15-Minute City; Key Performance Indicators; Multimodal Mobility; Suburban Development |
|---|---|
| Best Congress Paper Award | Yes |
