SafeWalk

Find your safest route for any time of day

Nishan Mann

Data Sources and Pipeline

NYC Open DataMajor Crimes

Dataset2005-2016

(~1,000,000)

Algorithms

● Dijkstra Algorithm: between Start and End, find the shortest path minimizing sum of weigths

● K-nearest neighbours classification to associate each crime with a road

d1

d4

d5

d2

d9

d3 d

6

d8

d10

d12

d7

d11

Start

End

Cost Model for Road Lengths

Personal fear of crime Crime Costs depending on hour and type of crime

● De Sota Road, NY at 0300

App Landing Page

● Personal Fear of Crime: Rational, Almost Rational, Borderline Rational-Irrational, Irrational, Extreme

Brooklyn Safe Route at 0200

● Crime Avoidance Level : Vigilant, Personal Fear of Crime: Borderline Rational-Irrational

Cost Model Validation (3rd Party)

● Courtesy of Trulia https://www.trulia.com/local/new-york-ny/tiles:1|points:0_crime

Personal Fear of Crime: Rational

● Crime Avoidance Level: Vigilant

Personal Fear of Crime: Extreme

● Crime Avoidance Level: Vigilant

About Me

● Physicist studying solitons in photonic crystal waveguides

● Motorcycle enthusiast

Cost Model Validation Brooklyn 0200

Personal Fear of Crime

● Personal fear of crime affects each route slightly differently but there exists some saturation point

Safety Rating

● approximates probability of experiencing no crime on route

● Probablity of crime on road i.● Assume crimes on each road are

independent