QROWD’s approach to calculate Modal Split, and its application on the city of Trento.

1. A smart solution to
calculate the modal split
The case of Trento (Italy)
GIACOMO FIORONI
Head of Smart City office - Municipality of Trento

2. The Modal split
% of travellers using
a particular type of transport
Main indicator for all SUMPs

3. How to calculate the modal split
Collect data about each
trip
● that people make
● in/from/to the City
● in a single day
Detect relevant data
● mode of transport
● purpose (destination)
Free time
Home Work
School
Personal
reasons

4. A multimodal trip
● has only one origin/destination
● but is made of sub-trips
Relevant data
● purpose of the total trip
● % of transport modes of each sub-
trip
Computation in case of multimodal trips
Home
Work
Bicycle
Train
BUS
Walk

5. Telephone
interviews
1. costly
2. time consuming
3. inaccurate
Issues of the current approach

6. Citizen
sensin
g
Engagement &
gamification
Analysis
VisualizationAI, ML on
Big Data
smart solution
An innovative approach

7. Validation questions:
• submitted when unsure
• improve the AI model
AI calculates:
• purpose of the trip
• mode(s) of transport
used
Components 1/3 Citizen sensing, AI, ML
i-Log app collects:
• all the data
GPS
Gyroscope
Accelerometer

8. The total modal split:
● is calculated through
advanced data analysis
● is shown on a dashboard
(with filter capabilities)
Components 2/3 Analysis and
visualization

9. + +
Prizes GamificationPersonalized
services
Components 3/3 Engagement Strategy

10. + frequency
+ accuracy
- time
- costs
Benefits of the smart solution

11. For further information
on the Municipality’s website:
http://www.comune.trento.it/Progetti/Qrow
d
official website:
http://qrowd-project.eu
Giacomo Fioroni:
giacomo.fioroni@comune.trento.it
This project has received funding from the European Union’s Horizon 2020
research and innovation programme under grant agreement No 723088