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原文传递 Truck Parking Utilization Analysis Using GPS Data

题名：	Truck Parking Utilization Analysis Using GPS Data
其他题名：	Adams,T.M.,Srivastava,P.,Wang,B.,and Ogard,L.(2009).Low-cost strategies to increase truck parking in Wisconsin,Univ.of Wisconsin,Madison,WI.
正文语种：	英文
作者：	Khademul Haque
关键词：	Truck parking utilization;Count models;Generalized ordered-response probit (GORP) models;Rest area;Truck global positioning system (GPS) data
摘要：	Unavailability of sufficient parking spaces during various periods at rest areas results in illegal and unsafe parking at on/off-ramps and other unauthorized areas, which may lead to traffic safety hazards. In this research, the authors attempt to understand truck parking utilization by developing econometric models by using truck global positioning system (GPS) data to predict truck parking utilization at rest areas to improve truck parking management and ensure proper use of parking spaces. Count models, including Poisson and negative binomial models, were developed in addition to generalized ordered-response probit (GORP) models to understand the factors that affect truck parking utilization. The GORP model that subsumes the Poisson model as a special case was found to provide the best data fit. The model results suggest that several factors positively contribute to truck parking utilization (e.g., truck volume on the adjacent roadway, number of lanes) at rest areas, whereas factors such as on/off-ramp violations decrease truck parking utilization. In addition, parking utilization was found to vary considerably throughout the day.
出版年：	2017
论文唯一标识：	P-72Y2017V143N09004
英文栏目名称：	TECHNICAL PAPERS
doi：	10.1061/JTEPBS.0000073
期刊名称：	Journal of Transportation Engineering
拼音刊名(出版物代码)：	P-72
卷：	143
期：	09
页码：	21-32