Accessible_transit_planner

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Inspiration

• about 26.8% of Chicagoland residents have a disability, with 45% (of the 26.8%) having mobility-related issues.
• accessibility-first solutions for transit planning

What it does

• suggests which accessible train stops to get on and off depending on user input

How we built it

• take CTA static data and dynamic alert data
• python packages used: pandas, networkx, requests, folium

Challenges we ran into

• data ingestion
• incorporating relevant alerts in code

Accomplishments that we're proud of

• making nice slides
• volunteering to present first

What we learned

• collaborating with new team members
• contributing to open source

What's next for Accessible_transit_planner

• make it open source and create better user interface

Built With

• cta
• google
• python