Thesis (doctoral)--University of Oulu, 2007. / Includes bibliographical references (p. 226-238). Also available on the World Wide Web.

published_or_final_version / Transport Policy and Planning / Master / Master of Arts

published_or_final_version / Public Administration / Master / Master of Public Administration

Nowadays, there is increasing number of facilities that implement various pricing strategies in order to manage increasing traffic demand. Most of these strategies use traffic data collected on several points in the system, aggregate them in certain aggregation interval and calculate tolls based on them. Some strategies derive performance measures (as traffic density) based on aggregated data, and define tolls. However, derived performance measures tend to underestimate traffic conditions and data aggregation interval can smooth traffic data. On the other hand, travel time has not been utilized in order to calculate user tolls on such systems, and yet it can directly measure users delay in the system, and directly capture field conditions. In addition, technology to collect travel times is becoming more popular and used in transportation systems. Hence, this study aims to test alternative methods for toll calculation that will rely on travel time data and compare their performance with currently utilized toll calculation algorithm on I-95 Express lanes in South Florida. / Includes bibliography. / Thesis (M.S.)--Florida Atlantic University, 2019. / FAU Electronic Theses and Dissertations Collection

The design, build, finance and operation of public infrastructure is becoming increasingly dependent on participation of the private sector. An imposing amount of investment involved in a public private partnership agreement places financial institutions in the role of major lenders. The complexity of these agreements creates a gap in the information flow between the public sector, the private sector and financial institutions as project participants. Additionally, the public sector decisions about the network improvement actions add to the complexity of these agreements. The objective of this research is to develop a method which will allow an assessment of the effect that network improvement actions have on the project’s financial feasibility. Three common financial instruments were analyzed: bank loans, bonds and real options. Emphasis of the financial feasibility assessment was on the price of the revenue risk, as the most important risk in public private partnership agreements. Results have shown that network improvement actions can have significant impact on the price of the revenue risk. The magnitude of the impact depends on the type of instrument and the position of the road link in the network.

Thesis (M.S.)--West Virginia University, 2001. / Title from document title page. Document formatted into pages; contains x, 48 p. : ill. Vita. Includes abstract. Includes bibliographical references (p. 41-42).

Thesis (Ph. D.)--Hong Kong University of Science and Technology, 2003. / Includes bibliographical references (leaves 230-240). Also available in electronic version. Access restricted to campus users.

This dissertation is concerned with developing new methods for exploring the pressing problems of uncertainty, Environmental Justice, and tolling as they relate to long-range transportation planning. While these topics are seemingly disparate, much of the work in this dissertation is motivated by the increasing number of roadway projects concessioned to the private sector, and the lack of tools available for evaluating the impact of such agreements on the public given high levels of uncertainty over the length of the contracts and concern for the welfare of traditionally underserved population groups. These issues will be considered separately and together, offering insights into how transportation investment decisions can be improved. To this end, the impacts of considering long-range uncertainty in the traffic assignment model as well as in an integrated transportation and land use model (ITLUM) are assessed in terms of the effects on network performance measures and roadway improvement decisions. A new method for accounting for correlations between the future travel demands of origin-destination zone pairs is developed for the traffic assignment problem that can more effectively model the effects of potential economic changes. Results showed that neglecting correlations can lead to measures of variance of future total system travel time that range from underestimating the actual measure by seventy-five percent to overestimating it by one hundred percent, and to different selections for a network improvement project in up to fifty percent of all scenarios. Uncertainty in a basic ITLUM is considered more broadly, incorporating probability distributions for population and employment inputs as well as several travel demand model parameters, and examining how the choice of performance measure impacts the effect of uncertainty on the decision of where to increase system capacity. Comparing the network improvement projects selected when uncertainty is considered to a deterministic analysis, showed differences in up to 25% of scenarios. Challenges of considering Environmental Justice, a type of group-based equity that is required for metropolitan transportation plan compliance in the United States, are explored, particularly with regard to appropriately defining the term equity for the analysis. Several of these potential definitions are then transformed into objective functions for use in a new formulation of the user equilibrium-based discrete network design problem. A multi-objective genetic-algorithm solution method is developed to solve the problem efficiently, and insights are revealed into how different definitions of equity can lead to different decisions. The following objectives, both commonly used in practice, were found to be conflicting: 1) minimizing the difference in post-improvement performance across populations and 2) minimizing the difference across populations in the change in performance due to improvements. The problem of roadway tolling is first examined from the perspective of a private sector toll road operator seeking to maximize the asset's value by exercising flexibility. A stochastic recourse model is developed to account for the first stage investment decision and the second stage decisions to alter network capacity and toll rates. The flexibility to engage in non-compete clauses whereby the public sector cannot improve competing roadways, and also to improve feeder links in the surrounding network were found to play important roles in asset valuation. The value of having these options was found to increase with an increase in uncertainty of future demand, complexity of network structure, and the consequence of failure to meet debt obligations. The three original issues of uncertainty, Environmental Justice, and tolling are woven together into the development of a new method for determining the maximum toll rate that can be applied in a private sector operation scenario (first option) such that each group within the population, as defined for analysis of Environmental Justice, is no worse off than if the road had been constructed by the public sector without tolling (second option). Three stochastic dominance criteria are implemented to find the toll rate at which the first option dominates the second given uncertainty about the future travel demand. Findings suggest that there may be many toll rates that equate the benefits resulting from the two options, so the minimum rate is considered the optimal one. The difference in benefits to the groups was found to increase with increasing value of time, and the differences in optimal toll rates using each of the three dominance criteria increased similarly. The analytical tools developed in this dissertation, and the resulting insights obtained should offer significant contributions to several areas of long-range transportation planning, particularly informing the process of concessioning roadways to private entities, developing a transportation system that is robust to future uncertainty, and ensuring that Environmental Justice criteria is met by considering the transportation needs of each group within the population. / text

published_or_final_version / Public Administration / Master / Master of Public Administration

The goal of the research is to devise an equitable road pricing system which would leave the majority of routes free of tolls, so that low income people would suffer no cash loss although they would probably suffer loss of time. The aims of the dissertation are twofold. The first is to provide a numerical analysis of how urban commuters with differing abilities to pay would respond to additional road user charges. The welfare implications of such differential responses are examined and their policy implications analysed. The second aim is to develop a practical framework to model congestion pricing policies in the context of heterogeneous users. To achieve these aims, the following objectives have been set: (a) Using a simple network with two parallel competing routes, determine both welfare maximising and revenue maximising tolls under the constraint that only one route can be priced. In this setting, determine the allocation of traffic between the alternative routes, the efficiency gain, the revenue, the changes in travel cost and the distributional effects. (b) Establish a realistic model of an actual urban area to examine the impacts of selectively tolling congestible routes. As in the simple network case, assess the effects of toll policy on traffic distribution, network efficiency, revenues, and the welfare of the individual consumer and society. (c) Evaluate whether the non-identical treatment of users will enhance the acceptability of congestion pricing as a transport policy. Results from the simulations indicate that non-identical treatment of drivers? responses to toll charges provides better understanding of the differential impacts of various pricing policies. Allowing for heterogeneity in time valuation provides a better assessment of the efficiency of pricing policies and of the welfare impacts of toll charges, as it is able to capture their differential effects. More importantly, it shows that low-income commuters may not be significantly worse off with pricing especially when there is a free alternative route. This research demonstrates the need to adopt appropriate analytical techniques and assumptions when modelling the traffic equilibrium in a network with tolls. These include relaxing the homogeneity assumption, examining sensitivity to supply function parameter values and to the effect of vehicle operating cost, and using a route rather than link based measure of consumer surplus