This document is an assignment analyzing ambulance response times in Toronto using GIS software. It includes a map of Toronto showing ambulance stations, road networks, and city wards. Shortest path analysis was performed to determine response times. Response times vary between neighborhoods, with longer times in suburban areas farther from stations and shorter times in dense downtown neighborhoods close to more stations. Network analysis could also be used for other municipal services like snow plows, garbage trucks, and emergency vehicles to optimize routes.

1. Assignment 3: GRASS Vector Analysis
5 0 5 10 15 20 km
Shortest Path
Centroid
Ambulance Stations
Toronto Centerline
City of Toronto Ward Layer
Legend
North
ENVS 4520
Tannaz Zargarian
Darren Pigliacelli
(211552106)
April 9, 2015

2. ENVS 4520
Tannaz Zargarian
Darren Pigliacelli
(211552106)
April 9, 2015
Assignment 3: GRASS Vector Analysis

4. After Assignment Revisions

6. Shortest Path Attribute Table:

7. Questions:

8. Are response times slower in some neighborhoods than others?
• Yes, response times vary and in some neighborhoods are slower than others. In the
downtown areas where urban development is dense, the response times are shorter
because there are more ambulance stations. In the suburban areas of Toronto the response
times are longer because there is less ambulance stations compared to the downtown
areas because there is a smaller, less dense population.
Do you see any pattern in how the response times vary?
• There is no distinct pattern in the data, but relating to answer 1, the response times are
longer in the less dense, suburban areas of Toronto and the response times are shorter in
the dense, higher populated areas near downtown.
What else might you use this kind of network analysis for?
• This network analysis might be used for salt trucks in the winter, garbage trucks to find
shortest routes, businesses to find shortest distances to their target market neighborhoods,
for emergency response times for police, fire and ambulance vehicles to find the shortest
routes to a location and for City of Toronto service trucks to find their shortest routes
from their station to service locations.