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Vehicle operating costs are an invaluable tool to transportation engineers, who utilize them in applications such as cost-benefit analyses and utilization pricing. Many of the existing models in use, however, are significantly out-of-date with current technology. Research was undertaken in partnership with the Texas Department of Transportation (TxDOT) to develop a new model of the operating costs associated with Texas vehicle fleets. A vehicle operating cost (Vcost) model was produced which estimates variable and fixed costs associated with both light-duty and heavy-duty vehicles. The model calculates both aggregate fleet costs and costs for individual representative vehicles. An analysis of Texas Vehicles, Titles, and Registration (VTR) records; Weigh-in-Motion data; vehicle counts; and national car sales data was used to generate the breakdown of the Texas fleet of vehicles and to determine representative vehicles. Operational costs for these vehicles fell into two main categories: fixed costs (depreciation, financing, insurance, and other) and variable costs (fuel and maintenance/repair). Relations were determined for each cost category for each representative vehicle over its entire operational age. In the case of heavy-duty vehicles, much of the operational costs information is proprietary and had to be gathered in survey work conducted with other members of a research team. A computer program was written that incorporates the cost relations for the representative vehicles as well as the Texas fleet characteristics in such a way that the user can examine the costs of both an individual vehicle and the aggregate costs associated with a fleet of vehicles. The user can also input a default fleet composition. The model allows users to alter key parameters (such as fuel price, financing rates, insurance costs, or vehicle fuel economies) for future adaptability to a changing economic and technological landscape. The model was developed in parallel with another researcher working on an advanced fuel consumption model, which would later be integrated into to the Vcost model.
This report concludes a one-year. project conducted for the Texas Department of Transportation (TxDOT) to develop a statewide strategic plan for commercial vehicle operations (CVO). The report is divided into seven chapters which address the tasks that were defined at the outset of the project. The first chapter provides background information regarding the need for the strategic plan and its foundation. The second chapter presents the summary of a comprehensive literature review concerning strategic planning for CVO and other related topics. Chapter 3 describes the trucking activity in Texas in terms of fleet characteristics, the distribution of trucking activity, and commodity movements. Chapter 4 provides an overview of truck size and weight (TS&W) regulations and safety regulations, as well as current enforcement practices in the state. The next chapter presents an overview of current practices by government agencies and by motor carriers regarding administrative procedures in the state. Chapter 6 describes current advances in information and transportation technology. The proposed strategic plan for Texas is presented in Chapter 7. This plan includes the mission statement, long- and short-term goals and objectives, and the specific milestones, responsibilities, and funding opportunities for Texas.
In an increasingly globalised world, despite reductions in costs and time, transportation has become even more important as a facilitator of economic and human interaction; this is reflected in technical advances in transportation systems, increasing interest in how transportation interacts with society and the need to provide novel approaches to understanding its impacts. This has become particularly acute with the impact that Covid-19 has had on transportation across the world, at local, national and international levels. Encyclopedia of Transportation, Seven Volume Set - containing almost 600 articles - brings a cross-cutting and integrated approach to all aspects of transportation from a variety of interdisciplinary fields including engineering, operations research, economics, geography and sociology in order to understand the changes taking place. Emphasising the interaction between these different aspects of research, it offers new solutions to modern-day problems related to transportation. Each of its nine sections is based around familiar themes, but brings together the views of experts from different disciplinary perspectives. Each section is edited by a subject expert who has commissioned articles from a range of authors representing different disciplines, different parts of the world and different social perspectives. The nine sections are structured around the following themes: Transport Modes; Freight Transport and Logistics; Transport Safety and Security; Transport Economics; Traffic Management; Transport Modelling and Data Management; Transport Policy and Planning; Transport Psychology; Sustainability and Health Issues in Transportation. Some articles provide a technical introduction to a topic whilst others provide a bridge between topics or a more future-oriented view of new research areas or challenges. The end result is a reference work that offers researchers and practitioners new approaches, new ways of thinking and novel solutions to problems. All-encompassing and expertly authored, this outstanding reference work will be essential reading for all students and researchers interested in transportation and its global impact in what is a very uncertain world. Provides a forward looking and integrated approach to transportation Updated with future technological impacts, such as self-driving vehicles, cyber-physical systems and big data analytics Includes comprehensive coverage Presents a worldwide approach, including sets of comparative studies and applications
The University of Alaska Fairbanks maintains a vehicle fleet for use by its staff, faculty, and students. Given the multifaceted needs of the campus and the impact that the harsh subarctic climate can have on vehicles, management of the fleet to meet the needs of its users is a complex task. One method UAF uses to manage the cost of the fleet is to extract the depreciation expense from each fleet vehicle into a non-interest bearing recharge account to eventually purchase its replacement. While several reviews have been conducted regarding the management of this fleet, a gap in research involves analysis of cost of this fleet over its lifecycle. This study examined the effects of fleet vehicle lifecycle extension beyond the predetermined 10-year useful life at UAF. Three novel datasets were created from UAF Facilities Services’ archival maintenance work order data: a vehicle dataset, work order dataset, and a panel dataset. Ordinary least squares regression methods were used to examine the impact of model year on a vehicle’s nominal purchase price and the impact of vehicle specification on real purchase price. Fixed and random effects panel methods were used to examine the impact of vehicle specification and vehicle age on maintenance costs. The effects of extending the fleet lifecycle from ten to twenty-years on maintenance and operational cost were estimated. Population dynamics models estimated the impact of the ten year lifecycle extension on the replacement fund. The results of this study suggested increasing vehicle lifecycles by ten years increased operating, maintenance, and replacement costs and effectively reduced the replacement fund purchasing power. The extension of vehicle lifecycles resulted in continually increasing rental rates and ultimately to the insolvency of the replacement fund.