Kybi is a bike safety mobile app that aims to crowdsource information about bike safety and the lack of it in city roads. Anyone can pin places where they feel safe or unsafe to ride a bike, report traffic hazards, and conduct bike safety audits of city roads. This data, we hope, will be used by city governments to identify which road segments are unsafe, why, and how they can be made safer for bikers.
With the safety scores readily available, users can see which areas have a better safety perception than others and make smarter decisions on which routes or bikeways to take.
The safety score can be broken down to 9 factors:
1. Presence of bike lane (on-road bike routes, on-road marked bike lanes, and off-road bike paths)
2. Bike way quality (broken / unpaved / blocked bike paths, road surface during wet and dry season, pavement markings, presence of sharp curves, steep terrain slope, traffic lights)
3. Lighting (Availability of enough light to see all around you)
4. Openness to see in all directions
5. Traffic density
6. Crowd density
7. Availability of bike rack near destination
8. Availability of CCTV (security) around the area
9. Land use (residential or economic zones)
Kybi uses a combination of crowdsourcing and machine learning to generate safety scores of bikeways.
Our vision is to become the acknowledged data provider of data for safe bikeways and cycling urban mobility.
Links:
Bike Safety Dashboard |
Kybi Landing Page |
Metro Manila Bike Safety Network Visualization |
Kybi Repo |
Kybi Demo |
Kybi Final Pitch, Q&A
titaofdata
oracle4engineer
imsaku
th0x0472
bengo4com
elcuervo
ritou
line_developers
tomzoh
bumptakayuki
bonotake
miyakemito
tenderlove
matthewcrist
aleyda
nonsquared
kevinliebholz
trallard
shpigford
geeforr
yeseniaperezcruz
myddelton
danielanewman
smashingmag