In this webinar, we discuss:
- How innovators are using spatial data and analysis to make mobility planning decisions.
- Why spatial data is becoming essential in data science workflows to understand and predict patterns.
- How mobility companies use thousands of routes and data points, such as weather data, in machine learning models to optimize their scooter fleet usage.
Watch it now at: https://go.carto.com/webinars/micromobility-revolution-recorded
3. Multi-billion dollar industries are being
built on location data
80%Of all data collected has a
location element on it
10%Is actually used to Power
Business Decisions
5. ...and the market is booming:
$5.7bn
In investments in
micromobility start-ups
since 2015.
85%
of investments made in
Chinese market.
3x
faster user acquisition than
car sharing or ride hailing
apps.
Source: McKinsey, Jan 2019
8. Challenge:
● Free floating services need to be able to
balance supply (scooters available) and
demand (riders wanting to book a
vehicle).
● Riders are satisfied if they find a vehicle
within an acceptable walking distance
(typically 230 metres).
● It’s not about increasing the number of
vehicles only, it’s about increasing vehicle
availability in high demand areas.
● How can we rotate scooters from low
demand areas to high demand areas?
12. Creating a
downtime
metric
● Downtime = the time a scooter is inactive
between one ride and the next.
● Thinking about the problem spatially, we
can use spatial features to drive
decisions about user-driven relocation.
17. What if new data streams could help?
Human mobility
Road traffic
Demographics
Environmental
Points of interest
Global boundaries
Financial
Housing
18. Challenge:
● A micromobility company wants to enter
a new market, but is ensure of which
cities / areas of larger cities to launch in.
● Census data is outdated, making it
difficult to use that as accurate predictor
of potential success.
● The company wants to be able to see
how demand evolves over time and
changes from season to season.
20. Key Takeaways
● New data streams unlock insights by setting the context and elevating
models to their full potential
● Spatial analysis allows micromobility players to go beyond observing
where things happen to uncover why, and drive business outcomes
● Mobility companies are very well positioned to tap into new data and
analysis due to their digital-born nature and established data science
teams
21. Thanks for listening!
Any questions?
Request a demo at CARTO.COM
Dan Rushton
Location Intelligence Specialist // drushton@carto.com
Virginia Diego
Product Marketing Manager // vdiego@carto.com