{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/476e0e400c4e41baaa00fcda4b49bd6d\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/476e0e400c4e41baaa00fcda4b49bd6d-bf4d5dd129cc9c0a.gif","duration":82.346666,"title":"Public Transport Reliability Platform for LA Metro","description":"This Loom proposes a public transport reliability platform for exploring the LA Metro Rail and evaluating whether lines and stations are dependable and accessible now and historically. The speaker describes integrating the LA Metro Rail Live API with community-generated user reports and derived data, including routes, stops, service events, and real-time vehicle observations. The platform would help users answer questions like whether a trip is reliable, safe, and timely. They also mention adding a small machine learning model to generate reliability summaries so people can decide if a given trip is the right one."}