TCL (Lyon public transport network)v1.0.0

Tourists visiting Lyon can use this skill to find the first and last public transport services of the day, ensuring they can plan early morning departures or late-night returns without relying on real-time data. It helps them navigate the metro, tram, and bus networks efficiently by providing schedules for stops like Bellecour or Vieux Lyon.

Residents of Lyon can rely on this skill to check the next departures from their local stops, such as Part-Dieu or Perrache, for daily commutes to work or school. It allows filtering by line to reduce noise and plan trips based on theoretical schedules, even without real-time delay information.

Event organizers in Lyon can use this skill to coordinate transportation for attendees by finding the earliest and latest services near venues. For example, checking last departures from stops like Gare de Vaise after an event ensures attendees can leave safely, leveraging the skill's coverage of 653 lines and 8863 stops.

Individuals with mobility challenges can use this skill to search for stops with partial, case-insensitive queries, such as 'Hôtel de Ville', to find accessible transport options. It provides schedule information to plan trips in advance, reducing uncertainty in using Lyon's public transport network.

Urban planners and researchers can analyze Lyon's transport network using this skill to gather data on line information and stop distributions. It supports queries like line details for 'A' or 'C3', aiding in studies on network efficiency and coverage without real-time delays.

Offer basic schedule queries for free to individual users, while charging businesses and developers for advanced features like bulk data access or integration into apps. Revenue comes from subscription tiers based on query volume and data freshness.

Integrate this skill into tourism apps and websites to provide reliable transport schedules, enhancing user experience for visitors. Revenue is generated through licensing fees or revenue-sharing agreements based on increased engagement and bookings.

Sell anonymized insights and reports derived from transport usage patterns to city authorities or advertisers. This leverages the skill's GTFS database covering 60 days of schedules to inform urban development and targeted marketing campaigns.