Thesis (Ph.D.)--University of Texas at Arlington, 2008.

Thesis (Ph.D.)--University of Texas at Arlington, 2008. / Includes vita. Includes bibliographical references (p. 226-233). Also available online.

Thesis (M. Sc.)--University of Alberta, 2010. / Title from pdf file main screen (viewed on July 7, 2010). A thesis submitted to the Faculty of Graduate Studies and Research in partial fulfillment of the requirements for the degree of Master of Science in Transportation Engineering, Department of Civil and Environmental Engineering, University of Alberta. Includes bibliographical references.

M.Ing. (Engineering Management) / Logistics management has been extensively researched and implemented in the private sector, but it is gradually gaining traction in the humanitarian sector. Most humanitarian organization operations involve a mix of many activities. Some of them are involved in disaster relief, as short-term operations carried out immediately after a disaster, while some are involved in continuous aid work aimed at restoring normalcy to the disaster ravaged society and such efforts are longer term. Humanitarian organizations, particularly Non-Governmental Organizations (NGOs) are the primary vehicle through which donors channel their contributions, but it is unfortunate to note that many of these organizations face challenges with the logistics of effectively getting the relief aid to the intended users. The purpose of this study is to improve the understanding in humanitarian logistics (HL) and identify the key challenges affecting aid agencies during humanitarian action. The study adopts a quantitative approach; data were collected using a semi-structured questionnaire. The questionnaire was used to identify the most outstanding subjects and areas of interest in line with humanitarian logistics challenges identified in the literature. The findings from the research survey shows that there is an awareness of the importance of humanitarian logistics in the sector, but the results also show that only half of the participants of the survey reported that they have a logistics professional employed in their organization. Furthermore, only 50% of the participants of the survey indicated that their organization has a preparedness plan in place in the event of an emergency. Other challenges identified are: lack of fund; difficulty to obtain real time information and poor knowledge management. The author identified unavailability and tagging of funds as the most critical challenge the humanitarian organizations face because it hinders capacity building and organizational development. The study also suggests that learning and forging closer ties with private organizations is an effective means of overcoming some of the identified challenges.

It is now widely recognized that society’s over-reliance on the automobile contributes to environmental problems, especially in urban areas. Nevertheless, efforts to bring about modal shifts through transportation demand management strategies typically have had limited success. As a result, transportation research is increasingly focused on understanding the decision-making process of travel behaviour changes including mode choice and automobile ownership. The purpose of this study is to explore how individuals arrive at a decision to live either car-free or car-lite. Using a grounded-theory approach, this thesis explores the factors involved in a car-free/car-lite decision and the manner in which those factors work together to create the decision making process(es). Semi-structured interviews were conducted with 20 driving members of a car-sharing organization, each of whom made a decision to go car-lite (car-sharing is their additional vehicle) or car-free (car-sharing is their primary vehicle). Five main interconnected themes emerged from the analysis: finances, personal values and attitudes, personal history, perceived accessibility and situational life events. In particular, the participants’ experiences reinforce the importance of situation life events in the decision-making process, a factor not commonly identified in behaviour change theory. Additionally, the participants’ narratives illustrate that intention is created from an individual’s inclination and ability to make a travel behaviour change. However, translation from intention into action appears to be conditionally dependent on contextual and/or situational changes, most often in the form of situational life events, that provide a push into or out of the decision-making process. Findings underscore the importance of life events as catalysts for bringing travel behaviour in line with an individual’s sense of what is important and what is possible. This research illustrates the relevance of qualitative work in advancing transportation research – particularly in understanding human travel decisions. While the current transportation-planning paradigm is appropriate for making short-term forecasts, we must recognize that non-linear, non-utilitarian, long-term, often qualitative factors, such as those identified in this research, are not exogenous to travel decision making. Results also provide a basis for reflecting on the appropriateness of various metrics for evaluating the effectiveness of transportation demand management initiatives.

It is now widely recognized that society’s over-reliance on the automobile contributes to environmental problems, especially in urban areas. Nevertheless, efforts to bring about modal shifts through transportation demand management strategies typically have had limited success. As a result, transportation research is increasingly focused on understanding the decision-making process of travel behaviour changes including mode choice and automobile ownership. The purpose of this study is to explore how individuals arrive at a decision to live either car-free or car-lite. Using a grounded-theory approach, this thesis explores the factors involved in a car-free/car-lite decision and the manner in which those factors work together to create the decision making process(es). Semi-structured interviews were conducted with 20 driving members of a car-sharing organization, each of whom made a decision to go car-lite (car-sharing is their additional vehicle) or car-free (car-sharing is their primary vehicle). Five main interconnected themes emerged from the analysis: finances, personal values and attitudes, personal history, perceived accessibility and situational life events. In particular, the participants’ experiences reinforce the importance of situation life events in the decision-making process, a factor not commonly identified in behaviour change theory. Additionally, the participants’ narratives illustrate that intention is created from an individual’s inclination and ability to make a travel behaviour change. However, translation from intention into action appears to be conditionally dependent on contextual and/or situational changes, most often in the form of situational life events, that provide a push into or out of the decision-making process. Findings underscore the importance of life events as catalysts for bringing travel behaviour in line with an individual’s sense of what is important and what is possible. This research illustrates the relevance of qualitative work in advancing transportation research – particularly in understanding human travel decisions. While the current transportation-planning paradigm is appropriate for making short-term forecasts, we must recognize that non-linear, non-utilitarian, long-term, often qualitative factors, such as those identified in this research, are not exogenous to travel decision making. Results also provide a basis for reflecting on the appropriateness of various metrics for evaluating the effectiveness of transportation demand management initiatives.

Thesis (Ph.D)--Aerospace Engineering, Georgia Institute of Technology, 2009. / Committee Chair: Mavris, Dimitri N.; Committee Member: Baik, Hojong; Committee Member: DeLaurentis, Daniel; Committee Member: Lewe, Jung-Ho; Committee Member: Schrage, Daniel. Part of the SMARTech Electronic Thesis and Dissertation Collection.

The focus of transportation planning, until the past three decades or so, was to provide adequate transportation infrastructure supply to meet the mobility needs of the population. Over the past three decades, however, in view of increasing suburban sprawl and auto dependence, the focus of transportation planning has expanded to include the objective of sustainable development. Contemporary efforts toward sustainability include, for example, integrated land-use and transportation planning, travel demand management, congestion pricing, and transit and non-motorized travel oriented development. Consequently, in an effort to understand individuals’ behavioral responses to (and to assess the effectiveness of) these policies, the travel demand modeling field evolved along three distinct directions: (a) Activity-based travel demand modeling, (b) Built environment and travel behavior modeling, and (c) Integrated land-use -- transportation modeling. The three fields of research, however, have progressed in a rather disjoint fashion. The overarching goal of this dissertation is to contribute toward the research needs that are at the intersection of the three fields of research identified above, and to bring the three research areas together into a unified research stream. This is achieved by the simultaneous consideration of the following three aspects, each of which is of high importance in each direction of research identified above: (1) The activity-based and tour-based approaches to travel behavior analysis, (2) Residential self-selection effects, and (3) Integrated modeling of long-term land-use related choices and medium- and short-term travel-related choices. To this end, a series of integrated models of multidimensional choice processes are formulated to jointly analyze long-term residential location decisions and medium- and short-term activity-travel decisions (such as auto ownership, bicycle ownership, commute mode choice, and daily time-use). The models are estimated and applied using data from the 2000 San Francisco Bay Area Travel Survey to understand and disentangle the multitude of relationships between long-, medium-, and short-term choices. This dissertation also formulates a multiple discrete-continuous nested extreme value model that can accommodate inter-alternative correlations and flexible substitution patterns across mutually exclusive subsets (or nests) of alternatives in multiple discrete-continuous choice models. / text

Distance based vehicle insurance (sometimes know as “Pay as you drive,” “Pay by the mile” or “Pay per-km” insurance) has long been advocated by transportation planners as a transportation demand management (TDM) strategy. In addition to reducing congestion and greenhouse gas emissions, it also has the potential to meet a number of planning goals, such as health and equity improvements. Despite the wide interest in and predicted benefits of distance based insurance, there is little consensus on the detailed design of a system that could be implemented. Five main distance based pricing schemes have been proposed: a flat per-km rate, temporal or “time of day” pricing, road-type pricing, demographic pricing and “differential” pricing, which prices low mileages at a higher per-km rate. Each of these systems treats risk differently and thus results in different cross-subsidies between drivers. The proposal’s design thus has implications for an insurance system’s fairness and equity. This report examines the distribution of crash risk across time, across space, and across the different demographic groups. It then compares the current annual insurance system’s treatment of risk with that of various proposals for distance based insurance. It evaluates each proposal, considering its treatment of risk and its potential for increasing fairness and equity of costs and of mobility. It also examines each proposal’s other impacts, such as effectiveness in maintaining privacy and in reducing health impacts, greenhouse gas emissions and congestion. The recommended model is a flat per-km rate. Each driver would pay the same rate for every kilometer driven, regardless of time or place. However, individual drivers’ per-km rates would vary, depending on current insurance rating factors, such as residential location, type of car and driving record.

Distance based vehicle insurance (sometimes know as “Pay as you drive,” “Pay by the mile” or “Pay per-km” insurance) has long been advocated by transportation planners as a transportation demand management (TDM) strategy. In addition to reducing congestion and greenhouse gas emissions, it also has the potential to meet a number of planning goals, such as health and equity improvements. Despite the wide interest in and predicted benefits of distance based insurance, there is little consensus on the detailed design of a system that could be implemented. Five main distance based pricing schemes have been proposed: a flat per-km rate, temporal or “time of day” pricing, road-type pricing, demographic pricing and “differential” pricing, which prices low mileages at a higher per-km rate. Each of these systems treats risk differently and thus results in different cross-subsidies between drivers. The proposal’s design thus has implications for an insurance system’s fairness and equity. This report examines the distribution of crash risk across time, across space, and across the different demographic groups. It then compares the current annual insurance system’s treatment of risk with that of various proposals for distance based insurance. It evaluates each proposal, considering its treatment of risk and its potential for increasing fairness and equity of costs and of mobility. It also examines each proposal’s other impacts, such as effectiveness in maintaining privacy and in reducing health impacts, greenhouse gas emissions and congestion. The recommended model is a flat per-km rate. Each driver would pay the same rate for every kilometer driven, regardless of time or place. However, individual drivers’ per-km rates would vary, depending on current insurance rating factors, such as residential location, type of car and driving record.