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        <title>Scoring the feasibility of micromobility with OSM data ~ Julio May</title>
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        <description>Springfield, IL, faces high car dependency and infrastructure gaps. This session explores using multi-criteria geospatial analysis to solve the "last-mile" problem. We'll dive into a composite scoring model built on five key variables: income, transit access, commercial density, existing infra, and safety data. Learn how to bridge data gaps with spatial analysis to pinpoint high-potential zones for e-scooters and bikes, turning socioeconomic barriers into a more sustainable urban mobility. Originally published by OSM US under a CC license: https://youtube.com/watch?v=pqzFV2XAfoc</description>
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