IZMIR TRANSFERABILITY PILOT
Scaling solutions in peri-urban and tourism areas
Izmir provides a complementary perspective within BIO-INTEL-MOB, focusing on how mobility solutions can be scaled and adapted in a context characterised by growing peri-urban areas and strong seasonal demand linked to tourism. The interaction between urban, peri-urban, and rural zones creates specific challenges in ensuring connectivity, accessibility, and system efficiency.
The pilot explores how BIO-INTEL-MOB solutions can be applied in a data-rich environment to optimise mobility systems across different territorial conditions. By combining simulation tools, routing systems, and multimodal infrastructure, Izmir tests how these solutions perform when demand fluctuates and when connections between different areas need to be strengthened.
Key actions
CONTEXT
A metropolitan area with strong peri-urban dynamics and seasonal mobility demand influenced by tourism.
CHALLENGE
Balancing connectivity, accessibility, and environmental impact across urban, peri-urban, and rural areas with varying demand patterns.
IMPACT
Improved transport efficiency, reduced emissions, better accessibility, and stronger integration between urban and peri-urban mobility systems.
Key actions
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Digital Twin
A simulation platform used to model mobility scenarios based on available and reconstructed data, supporting planning decisions and system adaptation.
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Advanced Mobility Data Space (aMDS)
A data framework adapted to integrate fragmented and evolving data sources, including satellite imagery and partial datasets, enabling monitoring and analysis.
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Green-Safe Routing Algorithms (GSRA)
A routing system that provides safer and lower-emission routes based on real-time conditions, adapted to operate under variable and limited data availability.
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Peri-Urban Mobility Hubs (PUMHs)
Mobility hubs explored to improve accessibility and connections between different parts of the city as systems are restored and reorganised.
Cooperation with Pilots
Izmir contributes to the transferability of BIO-INTEL-MOB solutions by testing their scalability in a dynamic and data-rich environment.
- Explores how core tools (aMDS, GSRA, Digital Twin, PUMHs) perform under fluctuating demand conditions
- Supports optimisation of mobility systems across urban, peri-urban, and rural areas
- Contributes data to enhance the overall project data environment
- Provides insights for scaling solutions to other regions with similar spatial and seasonal characteristics
