On-Demand Mass Transit Andrei Greenawalt Vice President, Public Policy andrei@ridewithvia.com
Transportation is undergoing a major transformation 1900 -> 1930: 15mm Model T cars 1900: 20mm horse carriages 3,000 horse carriages 2016 -> 2025: On-demand, shared, 2016: 1.2bn private cars electric, autonomous 9mm buses
Via: Built for public transit • On-demand, dynamic bus • Singularly focused on CONFIDENTIAL shared rides • Low, Flat Fares: e.g. $5 in Manhattan
Virtual bus stops Fully dynamic, on-demand public transit Predictive matching and routing algorithm Managed service, real- time customer support • Automated monitoring tools
• Also operating in Chicago + Washington, DC • More than 8.5 million rides to date • About 200,000 rides a week
High Level of Efficiency Daily Bookings / Vehicle Dispatched (TLC Data) 24 Via 22 Uber 20 Black Cars 18 17.3x 16 Lyft 14 Via many times Gett 12 more efficient than 10 Juno others 8 6 6.4x 4 4.5x 3.1x 2 2.2x 2.0x 0 19-Jul-15 2-Aug-15 16-Aug-15 30-Aug-15 13-Sep-15 27-Sep-15 11-Oct-15 25-Oct-15 8-Nov-15 22-Nov-15 6-Dec-15 20-Dec-15 3-Jan-16 17-Jan-16 31-Jan-16 14-Feb-16 28-Feb-16 13-Mar-16 27-Mar-16 10-Apr-16 24-Apr-16 8-May-16 22-May-16 5-Jun-16 19-Jun-16 3-Jul-16 17-Jul-16 Source: NYC Taxi & Limousine Commission. Last twelve months based on latest available verified data.
Via: Licensed Technology Solution • Fully-localized vehicle routing and passenger aggregation system • Operational guidance • Driver and dispatcher training • Advanced analytics and reporting tools
Public Policy Implications • Public policy should encourage shared rides over single- passenger occupancy (congestion, emission of GHGs/pollutants, etc.) • Rather than view this technology as competition, cities and transit agencies should embrace it through partnerships that complement or improve existing transit options • Autonomous vehicles: cities have the opportunity to promote their use in the future as a shared, public resource
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