Segmentation & Analytics of Killed and Seriously Injured Collision Data

Closed
Toronto Police Service
Toronto, Ontario, Canada
Shauna Bent
Crime Analyst
(2)
3
Project
Academic experience
80 hours per learner
Learner
Anywhere
Intermediate level

Project scope

Categories
Accounting Operations Project management Information technology
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 company

Company
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