Cities and countries pour billions into sustainable mobility, but the data is scattered. Public dashboards like EAFO, OpenChargeMap, or operator reports give partial views, while consulting studies are static snapshots. The result: it’s hard to compare two markets side-by-side or track progress over time.
This segment brings together web intelligence and curated APIs under one taxonomy. You get standardized indicators for carsharing and EV charging, operator rankings, and a MaaS maturity index with clear explanations. For consultants, foresight teams, or policymakers, it means moving from patchwork data to a comparable, explainable view of mobility ecosystems, at local, national, and global scale.
Normalize territories (city, region, country) into a consistent taxonomy.
Count active operators and rank the top three (≥300 vehicles for carsharing).
Track public EV charging networks, excluding private or closed systems.
Compute a MaaS maturity index (0–100) combining operator scale, ticketing, and digital integration.
Provide plain-language comments and a confidence score for every variable.
This segment is activated with a blend of trusted sources and your own inputs
AI reasoning
Web intelligence
Comparable datasets on EV and carsharing ecosystems across geographies.
Top-3 operator lists with fleets and charging points, standardized.
MaaS maturity index with clear explanatory comments.
Ready-to-use outputs in CSV, Sheets, JSON, or API for BI or CRM.
Your questions on this segment, answered
