Microsimulation Modeling Research in Canada

Miller, Eric J.; Hunt, John Douglas; Abraham, John; Salvini, Paul A.

doi:10.1061/40632(245)104

Cited by 2 publications

(4 citation statements)

References 7 publications

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“…The likelihood ratio test (ρ 2 statistic) is the most commonly used to measure the information explained by the model. Overall, the model has a pseudo-ρ 2 Two different decision sequences within a nested structure were tested to better understand the decision that is made first. It was originally hypothesized that individuals first decide on the vintage of their vehicles and later on the classes available in that group.…”

Section: Analysis Of Resultsmentioning

confidence: 99%

“…Some of the earliest applications of microsimulation in the transportation field involved dynamic modeling of auto-mobile ownership, and a strong case exists for including explicit models of household automobile choice within the overall travel demand modeling process (1). The Integrated Land-Use, Transportation, and Environment (ILUTE) model is being developed at the University of Toronto to address the need for a comprehensive modeling system in a dynamic microsimulation framework for policy analysis in the greater Toronto, Ontario, Canada, area (2). The primary objective of that study was to develop a comprehensive model of household automobile class and vintage choice at a disaggregate level that can be used in the ILUTE model framework and that can provide a direct forecast of consumer demand for vehicles for personal use, given the available choices.…”

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confidence: 99%

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Empirical Investigation of Household Vehicle Type Choice Decisions

Mohammadian

Miller

2003

Transportation Research Record

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Automobile ownership models are an integral part of comprehensive transportation modeling systems. Recent work and ongoing advances in the area of activity-based travel demand modeling have recognized the need for increased experimentation with automobile choice models. On the other hand, while automobiles are very important in people's everyday lives, they also have a serious impact on the environment. This impact occurs at the micro level (pollution) as well as the macro level (emission of greenhouse gases and global warming). Such impacts have led to increased interest in reducing motor vehicle emissions. A household automobile type choice model was developed at a disaggregate level. The model can provide a direct forecast of consumer demand for personal-use vehicles given the available choices. A well-developed form of discrete choice modeling techniques, the nested logit model, was used to investigate the process of household automobile type choice decisions given that a transaction has occurred.

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Section: Analysis Of Resultsmentioning

confidence: 99%

mentioning

confidence: 99%

Empirical Investigation of Household Vehicle Type Choice Decisions

Mohammadian

Miller

2003

Transportation Research Record

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“…A value of λ close to 1 implies that the chosen alternative on the most recent occasion drives the choice in the current choice procedure, whereas a value close to 0 indicates that historical choice plays a bigger role in accounting for the effects on the current choice. The smoothing parameters (λ) were obtained by using a search procedure over the range [0,1].…”

Section: State Dependence and Heterogeneity In Transaction Choice Behaviormentioning

confidence: 99%

“…An ideal framework should explicitly model automobile ownership. The integrated land use, transportation, and environment model (ILUTE) is currently being developed at the University of Toronto to address the need for a comprehensive modeling system in a dynamic microsimulation framework for policy analysis in the Greater Toronto Area (1 ). ILUTE consists of several interconnected modules and each module represents some aspect of the urban travel decision process.…”

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confidence: 99%

Dynamic Modeling of Household Automobile Transactions

Mohammadian

Miller

2003

Transportation Research Record

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Automobiles play a pivotal role in daily life, which makes them a subject of interest in many academic fields. Transportation planners are interested in knowing how many and what types of automobiles are owned by households, how people adjust their fleet, and how they use their vehicles. The primary objective of this study was to develop a comprehensive dynamic model of household automobile transactions at a disaggregate level to be used in a dynamic microsimulation modeling framework that can provide a direct forecast of consumer demand for personal-use vehicles. A market-based decision-making process and a transaction approach were applied for this project because of their consistency with the actual processes followed by decision makers. In the proposed framework, each year a decision maker faces four choices: add a new vehicle to the fleet, dispose of one vehicle, trade one of the vehicles in the fleet, or do nothing. A mixed (random parameters) logit model was used to investigate the effects of heterogeneity in the dynamic transaction model and distinguish between heterogeneity- and state-dependence-based explanations for the observed persistence in choice behavior. In this study, the application of dynamic variables representing the occurrence of changes in household state and their impacts on the observed behavior were also investigated.

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Microsimulation Modeling Research in Canada

Cited by 2 publications

References 7 publications

Empirical Investigation of Household Vehicle Type Choice Decisions

Empirical Investigation of Household Vehicle Type Choice Decisions

Dynamic Modeling of Household Automobile Transactions

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