D.Phil.

In 2014, the European Union and its members agreed to reduce carbon dioxide emissions by 40 percent before 2030. The Bonus-Malus, a feebate tax scheme, was introduced in Sweden in 2018 in the hopes that it would result in lower carbon dioxide emission from Sweden’s transport sector. Sweden’s feebate is a regulatory measure to achieve an efficient cost-constrained environmental policy, thus reduce the negative externalities from the transport sector. Using a Difference-in-Differences approach, this paper aims to determine who benefits from tax incentives created from the implementation of the feebate tax in Sweden using panel data of list prices and vehicle characteristics between 2015 and 2020. The results indicates that there is no long-run price effect when introducing the Swedish feebate tax. Moreover, the results from the additional analysis indicate that the manufacturers’ list price adjustments to the Swedish feebate tax are overshadowed by the introduction of the EU carbon dioxide emission standards because of the close time proximity between the two policy measures. The lack of list price adjustments enables consumers in Sweden to exploit an arbitrage opportunity in that they can gain the entirety of the subsidy but also suffer the entire cost of the malus fees.

In this study, we consider the Air Cargo Scheduling Problem based on a real life application. The aim is to move cargo and passengers that have different priorities and delivery time window, from a number of origin airports to destination airports by means of a transportation system. The system has predefined carrier routes and a heterogeneous fleet of aircraft. The problem is formulated as a heterogeneous vehicle, multi commodity, pick-up, and delivery network flow problem with a large set of system specific constraints. The proposed model determines set of movement requirements assigned on each route leg and number and type of aircraft assigned for each route in a reasonable amount of time. The model is tested with the real and generated data and the results are compared with the current methodology under different scenarios. The model produced better results in a short amount of time compared to the current methodology.

In this study we discuss the Vehicle Routing Problem with multiple use of vehicles (VRPM). In this variant of the routing problem the vehicles may replenish at any time at the depot. We present a detailed review of existing literature and propose two mathematical models to solve the VRPM. For these two models and their several variants we provide computational results based on the test problems taken from the literature. We also discuss a case study in which we are simultaneously dealing with side constraints such as time windows, working hour limits, backhaul customers and a heterogeneous vehicle fleet.

Understanding how households make decisions with regards to their vehicle fleet based on their demographics, socio-economic status and travel patterns is critical for managing the financial, economic, social and environmental health of cities. Vehicle fleets therefore form a component of the Integrated Land Use, Transportation and Environment (ILUTE) modelling system under development at the University of Toronto. ILUTE is a year-by-year agent-based microsimulation model of demographics, land use and economic patterns, vehicle fleet decisions and travel choices in the Greater Toronto and Hamilton Area. This thesis extends previous work that modelled the quantity, class and vintage of vehicles in ILUTE households. This revised model offers three key improvements: transaction decisions are made sensitive to travel patterns, fuel costs are better represented, and vehicle purchases are considered in the context of the overall household budgeting. Results are promising, but further model validation is required. Potential extensions of the research are discussed.

Understanding how households make decisions with regards to their vehicle fleet based on their demographics, socio-economic status and travel patterns is critical for managing the financial, economic, social and environmental health of cities. Vehicle fleets therefore form a component of the Integrated Land Use, Transportation and Environment (ILUTE) modelling system under development at the University of Toronto. ILUTE is a year-by-year agent-based microsimulation model of demographics, land use and economic patterns, vehicle fleet decisions and travel choices in the Greater Toronto and Hamilton Area. This thesis extends previous work that modelled the quantity, class and vintage of vehicles in ILUTE households. This revised model offers three key improvements: transaction decisions are made sensitive to travel patterns, fuel costs are better represented, and vehicle purchases are considered in the context of the overall household budgeting. Results are promising, but further model validation is required. Potential extensions of the research are discussed.

The aim of this diploma thesis is to analyze the impact of legislative changes motivated by the effort to reduce the average age of registered passenger cars. The topic has been chosen with regard to the growing social demand that strives to eliminate older, non-ecological vehicles. This thesis describes Czech legislative norms that influence in this issue and compares them with similar standards in selected EU countries. The thesis uses a specific sample of vehicles to prove that the legislative and administrative environment is not at a sufficient level to achieve appointed target.

This dissertation work focuses on renovation of carriage stock of PRP logistics s.r.o with the use of TOPSIS method. The work describes the main law regulations in truck transportation, law modification of its enterprising as well as theoretical basis of multicriteria analysis. It specifically deals with the description and analysis of company's carriage stock, a part of the work is also a detailed definition of particular steps taken within TOPSIS method, including calculations. This work consists of two parts -- theoretical and practical.

abstract: This dissertation research contributes to the advancement of activity-based travel forecasting models along two lines of inquiry. First, the dissertation aims to introduce a continuous-time representation of activity participation in tour-based model systems in practice. Activity-based travel demand forecasting model systems in practice today are largely tour-based model systems that simulate individual daily activity-travel patterns through the prediction of day-level and tour-level activity agendas. These tour level activity-based models adopt a discrete time representation of activities and sequence the activities within tours using rule-based heuristics. An alternate stream of activity-based model systems mostly confined to the research arena are activity scheduling systems that adopt an evolutionary continuous-time approach to model activity participation subject to time-space prism constraints. In this research, a tour characterization framework capable of simulating and sequencing activities in tours along the continuous time dimension is developed and implemented using readily available travel survey data. The proposed framework includes components for modeling the multitude of secondary activities (stops) undertaken as part of the tour, the time allocated to various activities in a tour, and the sequence in which the activities are pursued. Second, the dissertation focuses on the implementation of a vehicle fleet composition model component that can be used not only to simulate the mix of vehicle types owned by households but also to identify the specific vehicle that will be used for a specific tour. Virtually all of the activity-based models in practice only model the choice of mode without due consideration of the type of vehicle used on a tour. In this research effort, a comprehensive vehicle fleet composition model system is developed and implemented. In addition, a primary driver allocation model and a tour-level vehicle type choice model are developed and estimated with a view to advancing the ability to track household vehicle usage through the course of a day within activity-based travel model systems. It is envisioned that these advances will enhance the fidelity of activity-based travel model systems in practice. / Dissertation/Thesis / Doctoral Dissertation Civil and Environmental Engineering 2014

El presente trabajo de investigación se llevó a cabo en la idea de formular propuestas de mejora para la reducción del TCO por atención de la gestión de flotas de una empresa que brinda servicio a las principales empresas de telecomunicaciones. Actualmente, el costo de esta gestión representa el 42% del total de costos de la compañía, por tanto, representa una oportunidad importante para iniciar un análisis de su TCO e identificar potenciales de ahorro. Esta empresa tiene como reto convertirse en el proveedor de servicios de red de referencia para las empresas de comunicaciones y energía de manera rentable, por este motivo una adecuada gestión de sus costos es el camino para ser competitivos. El problema identificado radica en el no cumplimiento de los presupuestos asignados a la gestión de flotas, siendo este presupuesto repartido entre todas sus sedes. El impacto negativo de esta situación radica en sobrecostos para la organización y posibles pérdidas de clientes debido a no poder ofertar precios competitivos en las licitaciones que participa. Para resolver la problemática, el trabajo de investigación se compone de cinco capítulos: El primero se centra en la definición del problema y la justificación de por qué es necesario el análisis de la presente. En el segundo capítulo, se presenta los conceptos relacionados al TCO y gestión de flotas, así como de herramientas lean que serán la base para formular las propuestas tanto para reducción de TCO e incremento de atenciones; adicionalmente el estado del arte con investigaciones académicas relacionadas al tema. En el tercer capítulo, se describe la situación actual de la gestión de flota relacionado al TCO y nivel de atenciones, se analiza y delimita la sede y componentes del costo para mejora, además de identificar las causas que originan los problemas. Con la identificación de las causas, en el cuarto capítulo, se procede a desarrollar la propuesta de mejora apoyada en herramientas Lean, para finalmente terminar con los cálculos de beneficios esperados y principalmente el impacto en el TCO y presupuesto actual de la gestión. Por último, en el capítulo quinto se muestran las conclusiones y recomendaciones finales para la implementación. El trabajo realizado espera como resultado final la reducción en el TCO por atención y el cumplimiento de los presupuestos asignados de la gestión de flotas, optimizando la gestión de costos de la compañía y contribuir de manera positiva incrementando las posibilidades de abrir nuevos negocios ofreciendo precios competitivos en las licitaciones. / This research work was carried out with the idea of ​​formulating improvement proposals for the reduction of the TCO for fleet management by attention of a company that provides service to the main telecommunications companies. Currently, the cost of this management represents 42% of the company's total costs, therefore, it represents an important opportunity to start an analysis of its TCO and identify potential savings. The challenge of this company is to become the reference network service provider for communications and energy companies in a profitable manner, for this reason an adequate management of their costs is the way to be competitive. The problem identified is about the non-compliance with the budgets assigned to fleet management, this budget being distributed among all its offices. The negative impact of this situation generates over costs for the organization and possible loss of customers due to not being able to offer competitive prices in the tenders it participates. To solve the problem, the thesis is divided in five chapters: The first focuses on the definition of the problem and the justification of why the analysis of this thesis is necessary. In the second chapter, the concepts related to TCO and fleet management are presented, as well as lean tools that will be the basis for formulating proposals for both reductions of TCO and increase of attentions; additionally, the state of the art with academic research related to the topic. In the third chapter, the current situation of fleet management related to the TCO and level of attentions are described, the office and the cost components for improvement are analyzed and defined, in addition to identifying the causes that originate the problems. With the identification of the causes, in the fourth chapter, we proceed to develop the improvement proposal supported by Lean tools, to finally finish with the calculations of expected benefits and mainly the impact on the TCO and current management budget. Finally, the fifth chapter shows the final conclusions and recommendations for implementation. The work performed expects as a final result the reduction in the TCO by attention and compliance with the assigned budgets of fleet management, optimizing the company's cost management and contributing positively by increasing the possibilities of opening new businesses by offering competitive prices in tenders. / Trabajo de investigación