On-Demand Mass Transit Andrei Greenawalt Vice President, Public - - PowerPoint PPT Presentation

on demand mass transit
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On-Demand Mass Transit Andrei Greenawalt Vice President, Public - - PowerPoint PPT Presentation

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 ->


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On-Demand Mass Transit

Andrei Greenawalt Vice President, Public Policy

andrei@ridewithvia.com

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Transportation is undergoing a major transformation

2016 -> 2025: On-demand, shared, electric, autonomous 1900: 20mm horse carriages 1900 -> 1930: 15mm Model T cars 3,000 horse carriages 2016: 1.2bn private cars 9mm buses

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  • Low, Flat Fares:

e.g. $5 in Manhattan

CONFIDENTIAL

  • On-demand,

dynamic bus

Via: Built for public transit

  • Singularly focused on

shared rides

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Fully dynamic,

  • n-demand public transit

Virtual bus stops Managed service, real- time customer support

  • Automated monitoring tools

Predictive matching and routing algorithm

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  • Also operating in

Chicago + Washington, DC

  • More than 8.5 million

rides to date

  • About 200,000 rides a

week

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High Level of Efficiency

17.3x 6.4x 3.1x 4.5x

Black Cars Uber Lyft Via Gett

2.0x 2.2x

Juno

Source: NYC Taxi & Limousine Commission. Last twelve months based on latest available verified data.

Daily Bookings / Vehicle Dispatched (TLC Data)

2 4 6 8 10 12 14 16 18 20 22 24 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

Via many times more efficient than

  • thers
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Via: Licensed Technology Solution

  • Fully-localized vehicle routing

and passenger aggregation system

  • Operational guidance
  • Driver and dispatcher training
  • Advanced analytics and

reporting tools

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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