Urban microsimulators have been increasingly used to forecast land use, environmental and transportation conditions in cities and are a major tool for stakeholders to analyze the effects of urban policy. Although demographic and residential land use models have been well developed for the majority of these systems, labour market conditions and the forecasting of future jobs have at best been limited to high-level exogenous processes. This thesis aims to develop and implement a truly endogenous job supply and job matching model for use with the Integrated Land Use, Transportation, Environment (ILUTE) modelling system. Jobs within the system are tracked individually at both the occupational and industrial level, and matching occurs within an open market framework in an effort to simulate the true macroeconomic conditions of the real world.

Urban microsimulators have been increasingly used to forecast land use, environmental and transportation conditions in cities and are a major tool for stakeholders to analyze the effects of urban policy. Although demographic and residential land use models have been well developed for the majority of these systems, labour market conditions and the forecasting of future jobs have at best been limited to high-level exogenous processes. This thesis aims to develop and implement a truly endogenous job supply and job matching model for use with the Integrated Land Use, Transportation, Environment (ILUTE) modelling system. Jobs within the system are tracked individually at both the occupational and industrial level, and matching occurs within an open market framework in an effort to simulate the true macroeconomic conditions of the real world.

Understanding how households make decisions with regards to their vehicle fleet based on their demographics, socio-economic status and travel patterns is critical for managing the financial, economic, social and environmental health of cities. Vehicle fleets therefore form a component of the Integrated Land Use, Transportation and Environment (ILUTE) modelling system under development at the University of Toronto. ILUTE is a year-by-year agent-based microsimulation model of demographics, land use and economic patterns, vehicle fleet decisions and travel choices in the Greater Toronto and Hamilton Area. This thesis extends previous work that modelled the quantity, class and vintage of vehicles in ILUTE households. This revised model offers three key improvements: transaction decisions are made sensitive to travel patterns, fuel costs are better represented, and vehicle purchases are considered in the context of the overall household budgeting. Results are promising, but further model validation is required. Potential extensions of the research are discussed.

Understanding how households make decisions with regards to their vehicle fleet based on their demographics, socio-economic status and travel patterns is critical for managing the financial, economic, social and environmental health of cities. Vehicle fleets therefore form a component of the Integrated Land Use, Transportation and Environment (ILUTE) modelling system under development at the University of Toronto. ILUTE is a year-by-year agent-based microsimulation model of demographics, land use and economic patterns, vehicle fleet decisions and travel choices in the Greater Toronto and Hamilton Area. This thesis extends previous work that modelled the quantity, class and vintage of vehicles in ILUTE households. This revised model offers three key improvements: transaction decisions are made sensitive to travel patterns, fuel costs are better represented, and vehicle purchases are considered in the context of the overall household budgeting. Results are promising, but further model validation is required. Potential extensions of the research are discussed.