URBAN MICRO-MOBILITY AND DATA FOR PLANNING AND POLICYMAKING IIASA - - PowerPoint PPT Presentation

urban micro mobility and data for planning and
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URBAN MICRO-MOBILITY AND DATA FOR PLANNING AND POLICYMAKING IIASA - - PowerPoint PPT Presentation

URBAN MICRO-MOBILITY AND DATA FOR PLANNING AND POLICYMAKING IIASA iTEM4 Fourth International Transport Energy Modeling workshop October 30, 2018 Regina Clewlow, Ph.D. CEO & Co-Founder Populus www.populus.ai MOBILITY SERVICES HAVE


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www.populus.ai

URBAN MICRO-MOBILITY AND DATA FOR PLANNING AND POLICYMAKING

IIASA iTEM4 Fourth International Transport Energy Modeling workshop October 30, 2018 Regina Clewlow, Ph.D. CEO & Co-Founder Populus

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MOBILITY SERVICES HAVE RAPIDLY EVOLVED IN CITIES

2000 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018

www.populus.ai

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THE CHALLENGE

Priv ivate mobilit ility s serv rvic ices are being launched in cities at an unprecedented pace. Pu Public ag agenc ncies have limited information about how mobility services are changing how people move. Cities es struggling to integrate new alternatives with existing transportation investments are now demanding access to data.

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OUR SOLUTION

Public data Private mobility data Our proprietary data

Populus is a trusted, third-party data reporting platform that helps cities access private mobility data securely and cost-effectively.

Data reporting compliance Urban analytics to shape data-driven policy decisions Software for cities to integrate private and public mobility services

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CITIES NOW HAVE THE OPPORTUNITY TO HARNESS BIG DATA ON SHARED MOBILITY SERVICES TO PLAN FOR THE FUTURE OF TRANSPORTATION

www.populus.ai Deter ermine wher ere Uber er/Lyft ser ervices es a are c e complem ementar ary v vs. competit itiv ive with t transit it. As Assess eq equitable ac access to priv ivate d dockle less m mobilit ility s serv rvic ices (i.e.

  • e. scooter

ers a and b bikes es) Measure p e progress t towar ards transportation d demand manag agem ement (TDM) g goal als.

Populus Mobility Manager - a platform for cities to access shared mobility data for monitoring operators and planning

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SAMPLE ANALYSIS: TRIP DISTANCE BY TECHNOLOGY

www.populus.ai Dockless s s scooters s and b bikes a s are gene nera rally lly u used f for s r shorter t r trip ip distan ances. Docked b bikes used f for s r slig ightly ly longer er d distan ances - likel ely d due e to the l loc

  • cations of
  • f d

doc

  • cks.

(Dockles ess) elec ectric b bikes es are b e being used f for

  • r m

much l lon

  • nger trips

ps.

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SAMPLE ANALYSIS: TRIPS BY TRAFFIC ANALYSIS ZONE

www.populus.ai Micromoblity d dat ata c can an b be e harnes essed ed t to b better er u understand trip p patter erns t to plan an f for:

  • Da

Data-driv riven public lic tra rans nsit it planning ng.

  • Impro

rovin ing a activ ive tra ransportatio ion i infra rastru ructur ure (bike/ e/scooter er r racks, l lanes es).

  • Understand

nding ng e equity imp mpacts ts.

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SLIDE 8
  • Technology
  • Environmental
  • Transportation
  • Housing

preferences

  • Neighborhood

preferences

  • Political

ideology

  • Uber/Lyft use
  • Carsharing use
  • Bikesharing

use

  • Scootersharing

use

  • Travel mobile

app use

  • Delivery

services

  • Brand choice

and customer satisfaction ATTITUDES DEMOGRAPHICS

  • Household

structure

  • Age
  • Income
  • Race
  • Education
  • Employment
  • Housing type
  • Rent/ own

VEHICLES

  • License rates
  • # household

vehicles

  • Make, model,

year of most used vehicle

  • Reasons for

forgoing vehicle

  • wnership
  • Reasons for

vehicle purchase

  • Future vehicle

purchase plans MOBILITY SERVICES

  • Substitution of

Uber/Lyft for driving and vehicle

  • wnership
  • Reasons for

changes in behavior

  • Reasons for

changes in vehicle

  • wnership

BEHAVIOR CHANGE

POPULUS GROUNDTRUTH: DATA OVERVIEW

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By Age ge By Hous

  • usehol

hold Inc ncom

  • me

RIDEHAILING ADOPTION

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Trip p Distanc nces Freq equen ency RIDEHAILING TRIPS

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Freque uenc ncy of

  • f P

Pool

  • oled Rides

Pr Price-Saving ngs Requi uired t to

  • Sha

hare a R Ride RIDEHAIL POOLED TRIPS

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Trip p Pur urpos pose Alter ernate e Mode INTERCEPT SURVEY: LAST RIDEHAILING TRIP

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Ins nstead of

  • f Driving

ng One neself Ins nstead of

  • f Trans

nsit REASONS RIDEHAILING USED OVER OTHER MODES

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WITH BETTER DATA, PRIVATE MOBILITY SERVICES AND CITIES CAN PARTNER TO DELIVER A SAFE, EQUITABLE, AND EFFICIENT TRANSPORTATION FUTURE

No data Limited policies Undesired

  • utcomes
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THANK YOU

REGINA CLEWLOW, PH.D. CEO & CO-FOUNDER

www.populus.ai