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ENVISIONING A BETTER MELBOURNE
After Dark 
Towards getting home safe to our loved ones.
Plot a safer route for
women to reach home so
that we can reduce te
overal night time
incidents
HOW MIGHT WE
Key Partners
NGOS
For partnerships and long term
testing
CITY OF
MELBOURNE
Channel for beta launch
VICTORIA POLICE
Granular data sets for crime
incidents
Go to Market Strategy
MVP FOR CBD
we will first test the MVP
in the CBD and work
with NGOs and women
organisations.
EXPAND TO
OTHER CITIES
Once City of Melbourne
succeeds, expand to
other cities.
SELL TO GOVS
When this is adopted
Australia wide, we will
sell the product to other.
governments
COMPETITORS &
OPPORTUNITIES
• There are no existing solutions in Australia
• In other countries, it is pretty limited and some no
longer work.
• The first countries we will attempt to work with are
the Dutch and Finnish government because they have a
lot of open data.
BIGGEST
CHALLENGE
Data Normalisation
Pedestrian count: Counts per minute - updated every 15 mins.
Lighting: Light type,Watts, location
Street lights: Emited lux levels
Sensor reading(2014,2018): light level, every 5 mins, used to to predict the current lighting
<------------------------------------------->
0 (very safe) 10 (Very unsafe)
Pedestrian, combined lighting: normalised.
Cell Score = Normalised (Weight1*(pedestrian) + weight2*(combined lighting))
Envisioning a safer Melbourne at night

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Envisioning a safer Melbourne at night

  • 1. ENVISIONING A BETTER MELBOURNE After Dark  Towards getting home safe to our loved ones.
  • 2.
  • 3.
  • 4.
  • 5.
  • 6. Plot a safer route for women to reach home so that we can reduce te overal night time incidents HOW MIGHT WE
  • 7.
  • 8.
  • 9.
  • 10.
  • 11. Key Partners NGOS For partnerships and long term testing CITY OF MELBOURNE Channel for beta launch VICTORIA POLICE Granular data sets for crime incidents
  • 12. Go to Market Strategy MVP FOR CBD we will first test the MVP in the CBD and work with NGOs and women organisations. EXPAND TO OTHER CITIES Once City of Melbourne succeeds, expand to other cities. SELL TO GOVS When this is adopted Australia wide, we will sell the product to other. governments
  • 13. COMPETITORS & OPPORTUNITIES • There are no existing solutions in Australia • In other countries, it is pretty limited and some no longer work. • The first countries we will attempt to work with are the Dutch and Finnish government because they have a lot of open data.
  • 14.
  • 16. Pedestrian count: Counts per minute - updated every 15 mins. Lighting: Light type,Watts, location Street lights: Emited lux levels Sensor reading(2014,2018): light level, every 5 mins, used to to predict the current lighting <-------------------------------------------> 0 (very safe) 10 (Very unsafe) Pedestrian, combined lighting: normalised. Cell Score = Normalised (Weight1*(pedestrian) + weight2*(combined lighting))