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Full-Text Articles in Social and Behavioral Sciences

Data Driven Approaches For Understanding And Improving Urban Mobility, Yujie Guo Nov 2022

Data Driven Approaches For Understanding And Improving Urban Mobility, Yujie Guo

USF Tampa Graduate Theses and Dissertations

With the adoption of advanced information technologies, the transportation system keep innovating. It now offers more travel options, becomes smarter, but meanwhile gets more complicated and imposes more challenges to researchers and practitioners. For example, demand responsive public transit operates according to user demand instead of traditional timetable-based and fixed route services, which brings a lot of convenience to users. These emerging services also reshapes the way people travel. With the popularity of ride sharing services such as Uber and Lyft, people are more accessible to vehicle use without an ownership. Given the increasing popularity of emerging services, it is …


Airspace Design And Strategic Deconfliction For Urban Air Mobility, Hualong Tang Nov 2022

Airspace Design And Strategic Deconfliction For Urban Air Mobility, Hualong Tang

USF Tampa Graduate Theses and Dissertations

Urban Air Mobility (UAM), a part of Advanced Air Mobility (AAM), focused on transporting passengers in low-altitude urban airspace, has attracted extensive attention among industry, government, academia, and the public. Compared to existing commercial flights, to be able to succeed, UAM is envisioned to move to highly automated and high-density operations in low-altitude urban airspace in the future. Providers of services for UAM (PSU), rather than the legacy Air Traffic Control, are anticipated to support operators with operational planning, aircraft deconfliction, conformance monitoring, and emergency information dissemination. Such services, for hundreds to thousands of simultaneous UAM operations in constrained airspace, …


Statistical Models Of Traffic Injury Severities: The Effects Of Driver Nationality And The Time-Of-Day On Pedestrian Injuries, Asim Alogaili Nov 2022

Statistical Models Of Traffic Injury Severities: The Effects Of Driver Nationality And The Time-Of-Day On Pedestrian Injuries, Asim Alogaili

USF Tampa Graduate Theses and Dissertations

Roadway accidents have long been a major cause of casualties among all roadway users including drivers and pedestrians. Researchers have used various advanced methodologies to precisely identify affecting factors to help policy makers implement safety measures that effectively mitigate such losses. For a variety of reasons such factors, especially those related to roadway users, are subject to constant changes over time. This work investigates, in depth, the effect of multiple variables on the injury severity levels of both drivers and pedestrians using the most recent and advanced methodological approaches.

First, the dissertation starts by investigating factors that significantly contribute to …


Identifying Significant Factors Affecting The Likelihood And Severity Level Of Shared E-Scooter Crashes, Recep Can Cakici Oct 2022

Identifying Significant Factors Affecting The Likelihood And Severity Level Of Shared E-Scooter Crashes, Recep Can Cakici

USF Tampa Graduate Theses and Dissertations

  • Objective: To identify significant factors that affect the possibility of shared e-scooter related crashes in Tampa and St. Petersburg, FL, and also to capture determinants contributing to the level of injury of shared e-scooter related crashes in Tampa, FL.
  • Background: Over the past few years, shared e-scooters have become a common form of micromobility; however, safety concerns have been raised due to the increased number of injury accidents involving e-scooters.
  • Data and data sources: Survey questionnaires were designed to collect data from the general public on e-scooter sharing programs in Tampa and St. Petersburg, FL. The collected data include respondents’ …


Advanced Methods For Railroad Station Operation Decisions: Data Analytics, Optimization, Automation, Yuan Wang Sep 2022

Advanced Methods For Railroad Station Operation Decisions: Data Analytics, Optimization, Automation, Yuan Wang

USF Tampa Graduate Theses and Dissertations

The continued and substantial growth in railroad transportation in many countries inspires railroad operators to leverage advanced methods into better railroad operation decisions. Among all facilities, significant returns on investment can always be achieved by optimizing the operations of network nodes - junctions and stations, because stations usually form the capacity bottlenecks in the system.

There are thousands of decision-making problems in relation to the station operations and can be classified into different levels to achieve different goals. From top to bottom, high-level business strategies aim to make decisions to achieve long-term strategical benefits, such as optimizing local station functionalities …


Measuring Sustainable Development Through Tax Increment Financed Brownfield Redevelopment Statutes: A Florida Case Study, Jeff Burton Apr 2022

Measuring Sustainable Development Through Tax Increment Financed Brownfield Redevelopment Statutes: A Florida Case Study, Jeff Burton

USF Tampa Graduate Theses and Dissertations

This research measures the theoretically sustainable development synergy of United States’ redevelopment, tax increment, and brownfield statutes and questions local redevelopment professionals on this combination’s implementation. This policy’s integration and application measurements guide increased knowledge and best practice methods in the path of America’s population migration into urbanized areas, thus managing the economic, environmental, and social impacts for future generations.

This examination used a pragmatic, qualitative, and quantitative mixed-method approach to identify, collect, code, and analyze redevelopment, tax increment, and state brownfields laws. An exhaustive literature review of the laws’ histories explained when and why they exist. In addition, a …


Designing Control Strategies For Connected And Automated Vehicles (Cavs) At Transportation Conflict Areas, Saeid Soleimaniamiri Mar 2022

Designing Control Strategies For Connected And Automated Vehicles (Cavs) At Transportation Conflict Areas, Saeid Soleimaniamiri

USF Tampa Graduate Theses and Dissertations

Scheduling vehicles to pass a general conflict area is a common problem in traffic operations at various facilities, such as intersections, work-zones, and merging ramps. The advent of connected automated vehicle (CAV) technology provides unique opportunities for improving the traffic system performance and riding comfort at conflict areas. With the opportunities introduced by the emerging CAV technologies, this dissertation envisions building computationally efficient and applicable CAV-based control frameworks that can optimally serve traffic streams from different approaches while simultaneously or sequentially optimize CAV trajectories at conflict areas.

In our first study, we focus on a joint vehicle trajectories and signal …


“Fast Policy” And “Rule By Aesthetics”: A Preliminary Study Of Water Street Tampa –The “Worlding” Of An Aspiring “Icon Project”, Nousheen Rahman Mar 2022

“Fast Policy” And “Rule By Aesthetics”: A Preliminary Study Of Water Street Tampa –The “Worlding” Of An Aspiring “Icon Project”, Nousheen Rahman

USF Tampa Graduate Theses and Dissertations

In the age of “global urbanism” (Sheppard et al 2015; Chen and Kanna 2013), we are witnessing a markedly increased preference for mega-gentrification policies and projects by public officials seeking to revitalize deindustrialized and abandoned landscapes within their cities. The goal of this study is to describe how neoliberal public and private actors and institutions in the City of Tampa, specifically along the newly minted “Water Street” near the old Channel District of downtown, have adopted the discourses and practices of “fast policy” (Peck and Theodore 2015), “rule by aesthetics” (Ghertner 2010) and “worlding” (Ong and Roy 2011). To that …