title: Modeling vehicle operating speed on urban roads in Montreal: a panel mixed ordered probit fractional split model.
abstract: Vehicle operating speed measured on roadways is a critical component for a host of analysis in the transportation field including transportation safety, traffic flow modeling, roadway geometric design, vehicle emissions modeling, and road user route decisions. The current research effort contributes to the literature on examining vehicle speed on urban roads methodologically and substantively. In terms of methodology, we formulate a new econometric model framework for examining speed profiles. The proposed model is an ordered response formulation of a fractional split model. The ordered nature of the speed variable allows us to propose an ordered variant of the fractional split model in the literature. The proposed formulation allows us to model the proportion of vehicles traveling in each speed interval for the entire segment of roadway. We extend the model to allow the influence of exogenous variables to vary across the population. Further, we develop a panel mixed version of the fractional split model to account for the influence of site-specific unobserved effects. The paper contributes substantively by estimating the proposed model using a unique dataset from Montreal consisting of weekly speed data (collected in hourly intervals) for about 50 local roads and 70 arterial roads. We estimate separate models for local roads and arterial roads. The model estimation exercise considers a whole host of variables including geometric design attributes, roadway attributes, traffic characteristics and environmental factors. The model results highlight the role of various street characteristics including number of lanes, presence of parking, presence of sidewalks, vertical grade, and bicycle route on vehicle speed proportions. The results also highlight the presence of site-specific unobserved effects influencing the speed distribution. The parameters from the modeling exercise are validated using a hold-out sample not considered for model estimation. The results indicate that the proposed panel mixed ordered probit fractional split model offers promise for modeling such proportional ordinal variables.
authors.affiliation: Department of Civil Engineering and Applied Mechanics, McGill University, Canada. Electronic address: naveen.eluru@mcgill.ca.
authors.forename: Naveen
authors.initials: N
authors.lastname: Eluru
authors.forename: Vincent
authors.initials: V
authors.lastname: Chakour
authors.forename: Morgan
authors.initials: M
authors.lastname: Chamberlain
authors.forename: Luis F
authors.initials: LF
authors.lastname: Miranda-Moreno
mesh_terms: D001334:Automobile Driving / Q000706:statistics & numerical data*; D002947:Cities; D004777:Environment; D006801:Humans; D016014:Linear Models; D015233:Models, Statistical; D011792:Quebec; D012044:Regression Analysis; D013997:Time Factors
keywords: Fractional split models; Mixed ordered response fractional split models; Montreal; Vehicle operating speed