Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
A business establishment fleet ownership and composition model
Abstract Commercial vehicle fleet ownership is a business decision that is fundamental to the transportation operations of a business establishment. This paper develops a model of fleet ownership and composition for the Region of Peel, Canada. A trivariate model is developed to represent a business establishment’s correlated decisions of how many passenger cars, pickups/vans, or trucks/tractors are owned by the company. The joint model is approximated into a closed-form formulation by using the composite marginal likelihood approach combined with copula functions. The models are estimated using establishment data from the Region of Peel Commercial Travel Survey, and land use and transportation infrastructure variables developed from GIS databases. Larger establishments, as measured by number of employees, are more likely to own vehicles, as are establishments with greater demand for goods and services. Differences are found between establishments in different industry classifications, with the construction industry favoring pickups/vans, and the office/service industries less inclined to own trucks or pickups/vans. Significant negative copulas between ownership of different vehicle types reveal a substitution effect. This also shows the importance of developing the joint model over the independent formulation for decisions on ownership of different types of vehicles.
A business establishment fleet ownership and composition model
Abstract Commercial vehicle fleet ownership is a business decision that is fundamental to the transportation operations of a business establishment. This paper develops a model of fleet ownership and composition for the Region of Peel, Canada. A trivariate model is developed to represent a business establishment’s correlated decisions of how many passenger cars, pickups/vans, or trucks/tractors are owned by the company. The joint model is approximated into a closed-form formulation by using the composite marginal likelihood approach combined with copula functions. The models are estimated using establishment data from the Region of Peel Commercial Travel Survey, and land use and transportation infrastructure variables developed from GIS databases. Larger establishments, as measured by number of employees, are more likely to own vehicles, as are establishments with greater demand for goods and services. Differences are found between establishments in different industry classifications, with the construction industry favoring pickups/vans, and the office/service industries less inclined to own trucks or pickups/vans. Significant negative copulas between ownership of different vehicle types reveal a substitution effect. This also shows the importance of developing the joint model over the independent formulation for decisions on ownership of different types of vehicles.
A business establishment fleet ownership and composition model
Rashidi, Taha Hossein (Autor:in) / Roorda, Matthew J. (Autor:in)
Transportation ; 45
2017
Aufsatz (Zeitschrift)
Englisch
A business establishment fleet ownership and composition model
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