Modelling Drivers Licences & Auto Ownership in GTA

Modelling Driver’s 
Licences
 &
Auto Ownership in GTAModel
4.1
2020.02.05
Travel Modelling Group
1
GTAModel V4.1 Overview
Initial Network Assignments
Compute Access Station Choice
Models
Compute Aggregate Place of
Work/School Models
Assign Discrete Work and School
Zones
Assign Licenses to Household
Members
Assign Number of Vehicles to
Household
TASHA / Mode Choice
Special Generators
Network Assignment
Travel Modelling Group
Acknowledgment
The following models were estimated by Dr. Ahmadreza Imani now at Imperial College London
Travel Modelling Group
Driver Licenses
Binary logit model
Based on:
Gender
Age Category
Occupation
Employment Status
Household Income level
Population density of home
Transit utility to work or school
Distance to work or school
Travel Modelling Group
Multinomial Logit Model
Travel Modelling Group
5
Vehicle Ownership
Based on:
Number of Adults
Number of Kids (<16)
Number of Full-time workers
Number of driver licenses
0, 1, 2, 3+
Household Income category
Population density of home zone
Job density of home zone
Average distance to work for home
zone
Average transit utility to work for
home zone
Average auto travel time to work for
home zone
Travel Modelling Group
Vehicle Ownership
Ordered-logit model
Spatial Segmentation
Inner Toronto (Base)
Outer Toronto
905
Old City of Hamilton
Travel Modelling Group
Generalized Ordered Logit
Model
Travel Modelling Group
8
Questions?
Travel Modelling Group
Slide Note
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This detailed study delves into the intricate dynamics of drivers' licenses and vehicle ownership within the Greater Toronto Area (GTA). The research encompasses various factors such as gender, age, occupation, income level, and transit usage to model the patterns of license acquisition and vehicle ownership. Through a series of logit models and assignments, the study provides a comprehensive overview of travel behavior and vehicle ownership determinants.

  • Modelling
  • Drivers Licences
  • Auto Ownership
  • GTA
  • Travel Behaviour

Uploaded on Mar 06, 2025 | 0 Views


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  1. Modelling Drivers Licences & Auto Ownership in GTAModel 4.1 2020.02.05 Travel Modelling Group 1

  2. Initial Network Assignment GTAModel V4.1 Overview Load LoS Data Initial Network Assignments Compute Access Station Choice Models Compute Aggregate Place of Work/School Models Assign Discrete Work and School Zones Assign Licenses to Household Members Assign Number of Vehicles to Household TASHA / Mode Choice Special Generators Network Assignment Compute Access Station Models Compute Aggregate PoRPoW Compute Aggregate PoRPoS Load Household Assign Work/School Zones Assign Driver Licenses Assign Cars to Household TASHA Mode Choice External Model Network Assignment Airport Model Compute Next Iteration Freight Model Travel Modelling Group 2

  3. Acknowledgment The following models were estimated by Dr. Ahmadreza Imani now at Imperial College London Travel Modelling Group

  4. Driver Licenses Binary logit model Based on: Gender Age Category Occupation Employment Status Household Income level Population density of home Transit utility to work or school Distance to work or school Travel Modelling Group 4

  5. Multinomial Logit Model ???? ? ? = ????? Travel Modelling Group 5

  6. Vehicle Ownership Based on: Number of Adults Number of Kids (<16) Number of Full-time workers Number of driver licenses 0, 1, 2, 3+ Household Income category Population density of home zone Job density of home zone Average distance to work for home zone Average transit utility to work for home zone Average auto travel time to work for home zone Travel Modelling Group 6

  7. Vehicle Ownership Ordered-logit model Spatial Segmentation Inner Toronto (Base) Outer Toronto 905 Old City of Hamilton Travel Modelling Group 7

  8. Generalized Ordered Logit Model Logit CDF 1 1 + ??? ? ??? ???? Travel Modelling Group 8 8

  9. Questions? Travel Modelling Group

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