Thesis (Ph. D.)--University of Minnesota, 1918. / Published also as Bulletin no. 181 of the Minnesota Agricultural Experiment Station. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references.

Thesis (M.S.)--West Virginia University, 2000. / Title from document title page. Document formatted into pages; contains v, 58 p. Vita. Includes abstract. Includes bibliographical references (p. 44-45).

Thesis (M.S.)--Virginia Polytechnic Institute and State University, 1993. / Vita. Abstract. Includes bibliographical references (leaves 94-96). Also available via the Internet.

Thesis (M.Sc.Eng.)-University of KwaZulu-Natal, Durban, 2009. / Full text also available online. Scroll down for electronic link.

Thesis (Ph. D.)--Ohio State University, 1986. / Includes bibliographical references (leaves 234-245). Available online via OhioLINK's ETD Center.

Thesis (Mino). / Bibliography: leaves 131-136.

In the late 1990s, early 2000s, academic literature considered electronic marketplaces as a game changer in truck transportation services procurement. Early enthusiasm was followed by skepticism regarding e-marketplaces' usefulness and the popularity of e-marketplaces appeared to wane both in industry and in academic literature. However, recent sources argue that almost half of the freight currently transported by truck in the USA is subject to transactions conducted in e-marketplaces. This dissertation intends to fill a gap in the academic literature by showing that truck transportation e-marketplaces necessitate renewed dedicated research efforts, by exploring the strategies implemented by e-marketplaces in this specific industry and by linking these strategies to marketplaces' performance. First, transportation and non-transportation e-marketplaces are compared in chapter 2 with regard to their usage of mechanisms designed to generate trust among users. Results show that truck transportation e-marketplaces use these trust mechanisms differently than non-transportation e-marketplaces, which supports a call for research on e-marketplaces in the specific context of truck transportation services procurement. In chapter 3, a database inventorying the usage of 141 features by 208 e-marketplaces is then created to initiate the empirical exploration of these specific e-marketplaces. Thanks to that database, a new typology (a way of classifying objects based on several simultaneous classification criteria) is developed in chapter 4 that identifies three main truck transportation e-marketplace strategies (two with sub-divided into two sub-strategies). The typology provides a state of industry and puts in perspective the specificity of truck transportation e-marketplaces with regard to their structure along 11 dimensions known to the general e-marketplace literature. Finally, the link between e-marketplace strategies and performance is investigated in chapter 5. Performance is measured with three traffic metrics: number of unique visitors per day, number of page views per day, and website ranking. Results show that third-party-owned e-marketplaces that provide auction mechanisms with a fairly high level of user decision and transaction support are more successful than other e-marketplaces. This dissertation provides a picture of existing e-marketplaces for the procurement of truck transportation services, challenges components of existing theories and provides ground for further research. / Ph. D.

published_or_final_version / Transport Studies / Master / Master of Arts

Many state agencies consider exclusive truck facilities to be an alternative to handle the safety and operational issues due to the increasing truck volumes. No such facilities exist, and there are no standard tools or procedures for measuring safety performance of an exclusive truck facility. This thesis aims at identifying factors that affect truck crashes, whose results could be used for better designing exclusive truck facilities. To accomplish the objectives of this thesis, five years’ roadway and crash data for Texas was collected to develop a comprehensive crash database. Negative binomial regression models were used to establish a relationship between truck crashes and various environmental, geometric and traffic variables. Separate models were developed for truck-related (involving at least one truck and another vehicle), truck-only (two trucks or more) and single-truck crashes. The results suggested that the percentage of trucks in Average Annual Daily Traffic (AADT), classification of the roadway (Rural/Urban), posted speed limit, surface condition, alignment and shoulder width are associated with truck crashes. It was observed that truck-related and truck-only crashes decreased as the percentage of trucks increased on freeway facilities. Based on conclusions derived from the literature review and statistical analyses, straight segments with wider shoulders and uniform grades are recommended for exclusive truck facilities. It is also recommended to provide ramps, horizontal and vertical curvature and signing based on truck size, driver eye height, braking ability and maneuverability. These models were developed using mixed-flow traffic data to understand the association of various factors with truck crashes. These models should not be used directly to estimate or predict truck crashes. Further analysis with more detailed data under different flow conditions might help in quantifying the safety performance of exclusive truck facilities.

Many state agencies consider exclusive truck facilities to be an alternative to handle the safety and operational issues due to the increasing truck volumes. No such facilities exist, and there are no standard tools or procedures for measuring safety performance of an exclusive truck facility. This thesis aims at identifying factors that affect truck crashes, whose results could be used for better designing exclusive truck facilities. To accomplish the objectives of this thesis, five years' roadway and crash data for Texas was collected to develop a comprehensive crash database. Negative binomial regression models were used to establish a relationship between truck crashes and various environmental, geometric and traffic variables. Separate models were developed for truck-related (involving at least one truck and another vehicle), truck-only (two trucks or more) and single-truck crashes. The results suggested that the percentage of trucks in Average Annual Daily Traffic (AADT), classification of the roadway (Rural/Urban), posted speed limit, surface condition, alignment and shoulder width are associated with truck crashes. It was observed that truck-related and truck-only crashes decreased as the percentage of trucks increased on freeway facilities. Based on conclusions derived from the literature review and statistical analyses, straight segments with wider shoulders and uniform grades are recommended for exclusive truck facilities. It is also recommended to provide ramps, horizontal and vertical curvature and signing based on truck size, driver eye height, braking ability and maneuverability. These models were developed using mixed-flow traffic data to understand the association of various factors with truck crashes. These models should not be used directly to estimate or predict truck crashes. Further analysis with more detailed data under different flow conditions might help in quantifying the safety performance of exclusive truck facilities.