URBAN MICRO-MOBILITY AND DATA FOR PLANNING AND POLICYMAKING IIASA - - PowerPoint PPT Presentation
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
MOBILITY SERVICES HAVE RAPIDLY EVOLVED IN CITIES
2000 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018
www.populus.ai
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.
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
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
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.
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.
- 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
By Age ge By Hous
- usehol
hold Inc ncom
- me
RIDEHAILING ADOPTION
Trip p Distanc nces Freq equen ency RIDEHAILING TRIPS
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
Trip p Pur urpos pose Alter ernate e Mode INTERCEPT SURVEY: LAST RIDEHAILING TRIP
Ins nstead of
- f Driving
ng One neself Ins nstead of
- f Trans
nsit REASONS RIDEHAILING USED OVER OTHER MODES
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