Segmentation & Analytics of Killed and Seriously Injured Collision Data

Closed
Main contact
Toronto Police Service
Toronto, Ontario, Canada
Shauna Bent
Crime Analyst
(2)
3
Project
80 hours per student
Student
Anywhere
Intermediate level

Project scope

Categories
Accounting Information technology Operations Project management
Skills
python modelling data analytics big data data modeling
Details

Segmentation & Analytics of Killed and Seriously Injured (KSI) Collision Data

Students would examine the KSI data* available on the Toronto Police Service's Public Safety Data Portal (PSDP), in order to conduct:

1) High level review & exploratory analysis re segmentation and data cleaning i.e. types of drivers and/or other road users

2) Hot-spot mapping of high volume KSI collision areas within the 140 neighborhoods by collision type

3) Presentation of recommendations in the context of current TPS policies

*Consideration to be given on the use of text mining of street names and free form notes

KSI Data can be found @ http://data.torontopolice.on.ca/

Deliverables
No deliverables exist for this project.

About the Community Partner

Community Partner
Toronto, Ontario, Canada
Government, Defense & security

To Serve and Protect.

“We are dedicated to delivering police services, in partnership with our communities, to keep Toronto the best and safest place to be.”

Core Values:

- Service at our Core
- Do the right thing
- Connect with Compassion
- Reflect and Grow