Transportation Commons^™

Jue Insight: Migration, Transportation Infrastructure, And The Spatial Transmission Of Covid-19 In China, Bingjing Li, Lin Ma

Research Collection School Of Economics

This paper evaluates the impacts of migration flows and transportation infrastructure on the spatial transmission of COVID-19 in China. Prefectures with larger bilateral migration flows and shorter travel distances with Hubei, the epicenter of the outbreak, experienced a wider spread of COVID-19. In addition, richer prefectures with higher incomes were better able to contain the virus at the early stages of community transmission. Using a spatial general equilibrium model, we show that around 28% of the infections outside Hubei province can be explained by the rapid development in transportation infrastructure and the liberalization of migration restrictions in the recent decade.

The Fresno State Transportation Challenge, Christian Wandeler, Steve Hart

Mineta Transportation Institute

The Fresno State Transportation Challenge uses an action civics approach to support K-12 students in developing transportation-related projects that have a positive impact on the community. In 2020 the goal was to expand, refine, and create structures to sustain the implementation of the Transportation Challenge across subsequent years. As a result of the COVID pandemic, the process and goals of the project were adapted. The project was extended into April 2021 and was entirely conducted through remote participation. The focus was on two high schools. The expansion into the high school age bracket was successful and the experience with these …

Drivers’ Response To Scenarios When Driving Connected And Automated Vehicles Compared To Vehicles With And Without Driver Assist Technology, Srinivas S. Pulugurtha, Raghuveer Gouribhatla

Mineta Transportation Institute

Traffic related crashes cause more than 38,000 fatalities every year in the United States. They are the leading cause of death among drivers up to 54 years in age and incur $871 million in losses each year. Driver errors contribute to about 94% of these crashes. In response, automotive companies have been developing vehicles with advanced driver assistance systems (ADAS) that aid in various driving tasks. These features are aimed at enhancing safety by either warning drivers of a potential hazard or picking up certain driving maneuvers like maintaining the lane. These features are already part of vehicles with Driver …

Taming The Data In The Internet Of Vehicles, Shahab Tayeb

Mineta Transportation Institute

As an emerging field, the Internet of Vehicles (IoV) has a myriad of security vulnerabilities that must be addressed to protect system integrity. To stay ahead of novel attacks, cybersecurity professionals are developing new software and systems using machine learning techniques. Neural network architectures improve such systems, including Intrusion Detection System (IDSs), by implementing anomaly detection, which differentiates benign data packets from malicious ones. For an IDS to best predict anomalies, the model is trained on data that is typically pre-processed through normalization and feature selection/reduction. These pre-processing techniques play an important role in training a neural network to optimize …

Exact Algorithms For Practical Instances Of The Railcar Loading Problem At Marine Container Terminals, Manwo Ng, Dung-Ying Lin

Information Technology & Decision Sciences Faculty Publications

With the growth in global trade and its environmental footprint, sustainable modes of freight movement are increasingly important in today’s globalized world. This study focuses on on-dock rail, where the rail terminal is located within the marine container terminal. On-dock rail has in recent years become an essential mode of transportation to move containers out of congested marine container terminals. This study contributes to the literature by presenting tailored exact solution algorithms for a recently proposed optimization model to optimize the loading of double-stack trains. In particular, a 3-stage solution framework is presented for the case when rail cars have …

Perceived Social And Environmental Impacts Of The Maya Train Project On The Yucatan Peninsula Of Mexico: A Case Study Of Puerto Morelos, Emely Hernandez Yac

Graduate Research Theses & Dissertations

The Maya Train Project (MTP) is a new national megaproject in Mexico, meant to connect the perimeter of the Yucatan Peninsula, and facilitate easier transportation for tourism, industry, and agriculture. Given the region’s dependence on tourism, the train will accelerate the growth, as well as the social and environmental impacts of tourism in the region. Globally, the tourism industry has resulted in inequitable social and environmental impacts for the local communities and there is concern that this new Maya Train Project will serve to accelerate uneven development in the region. This project focused on the coastal tourist city of Puerto …

Umass Boston Bike Share Survey Instrument And Dataset, Philip Troped

Exercise and Health Sciences Faculty Publication Series

This site contains the survey instrument and survey data that were collected in the fall of 2014 from students, faculty, and staff at the University of Massachusetts Boston. These data were used for a manuscript to be published in PLOS ONE in 2022. The publication is entitled, “Correlates of bike share use and its association with weight status at an urban university” and the authors are Lawrence H. Stahley, Sarah M. Camhi, Julie A. Wright, and Philip J. Troped.

A Comparison Of Deep Learning Algorithms On Image Data For Detecting Floodwater On Roadways, Sarp Salih, Kuzlu Murat, Zhao Yanxiao, Cetin Mecit

Engineering Technology Faculty Publications

Object detection and segmentation algorithms evolved significantly in the last decade. Simultaneous object detection and segmentation paved the way for real-time applications such as autonomous driving. Detection and segmentation of (partially) flooded roadways are essential inputs for vehicle routing and traffic management systems. This paper proposes an automatic floodwater detection and segmentation method utilizing the Mask Region-Based Convolutional Neural Networks (Mask-R-CNN) and Generative Adversarial Networks (GAN) algorithms. To train the model, manually labeled images with urban, suburban, and natural settings are used. The performances of the algorithms are assessed in accurately detecting the floodwater captured in images. The results show …

Forward-Looking Strategies For Safely Adopting Digital Transformation In Aviation, Melissa King

Walden Dissertations and Doctoral Studies

Aviation leaders in the U.S. federal government face challenges in adopting technical evolution and advancing modernization while adhering to the rigor of a deeply entrenched safety culture. The purpose of this qualitative modified Delphi study was to determine how a panel of 21 aerospace experts based in Washington, DC viewed strategies for adopting to new technologies while ensuring safety. The management concepts that framed the study were safety culture and digital transformation. The study addressed the research question of how a panel of aviation experts viewed the desirability, feasibility, and importance of forward-looking strategies for adopting digital transformation while adhering …

Contracting Tools For Transportation Data, Suzanne Bell, Olivia Dworkin

Journal of Law and Mobility

Troves of transportation data can be, and are, produced by smart infrastructure. Municipalities collect various kinds of transportation data, including traffic information such as accidents, flows, and volumes; bicycle information such as bike counts; pedestrian information such as pedestrian counts; smart bus stop information; street mapping information; location information for traffic signals; mapping details such as the miles of city streets; and information on roadwork and infrastructure planning such as construction or road closures expected to affect traffic.

Governments, educational institutions, non-profit enterprises, and businesses find transportation data useful for purposes such as improving infrastructure, reducing traffic congestion, improving vehicle …

Opportunities And Challenges For Deploying Connected And Automated Vehicles To Address Transportation Disparities In Urban Areas, Erika Shepard, Kimberly Napoline, Frank Douma, Adeel Lari

Journal of Law and Mobility

As the development and testing of connected and automated vehicles (CAV) accelerates, it is important for government stakeholders, planners, and policymakers to have a better understanding of the challenges and opportunities CAVs will bring to infrastructure, communities, and lifestyles. There is general consensus among scholars and transportation practitioners that CAV will “disrupt” transportation systems, land use patterns, and socioeconomic power structures as they exist today.The implications of CAV on transportation infrastructure have been the subject of numerous academic and professional studies, suggesting both positive and negative effects may occur. Furthermore, in an American context, transportation planning has historically contributed to …

Data From: Statistical Inference For Multimodal Travel Time Reliability, Avinash Unnikrishnan, Miguel Figliozzi, Subhash C. Kochar

TREC Datasets and Databases

Travel time reliability is a key metric of interest to practitioners and researchers because it affects travel choice and the economic competitiveness of urban areas. This research focuses on three travel time reliability metrics – buffer index, modified buffer index, and the relative width of travel time distributions. The key novel contributions of this research include using the multivariate delta method to prove that the sampling distributions of the three travel time reliability metrics are asymptotically normal. The asymptotic standard error for the three reliability metrics is derived. The asymptotic normality and the standard error result are used to arrive …

Strategies To Reduce Flight Attendant Voluntary Turnover, Jorge Tobar

Walden Dissertations and Doctoral Studies

Flight attendant voluntary turnover can lead to staffing shortages that can cause severe disruptions to flight schedules, damage the airlines’ reputations, and negatively affect revenues, which are significant challenges for airline leaders. Grounded in Herzberg’s two-factor theory, the purpose of this qualitative multiple-case study was to explore strategies airline leaders use to reduce flight attendant voluntary turnover. Data were collected from four leaders from four U.S. airlines in the southwestern United States using semistructured interviews and reviews of organizational documents. Five themes emerged from thematic analysis: improving compensation and benefits packages, implementing rewards and recognition programs, increasing supervisory support, expanding …

Exploring The Spatially Heterogeneous Effects Of The Built Environment On Bike-Sharing Usage During The Covid-19 Pandemic, Hongtai Yang, Zishuo Guo, Guocong Zhai, Linchuan Yang, Jinghai Huo

Civil & Environmental Engineering Faculty Publications

Bike-sharing holds promise for available and healthy mobility services during COVID-19 where bike sharing users can make trips with lower health concerns due to social distancing compared to the restricted transportation modes such as public transit and ridesharing services. Leveraging the trip data of the Divvy bike-sharing system in Chicago, this study explores spatially heterogeneous effects of built environment on bike-sharing usage under the pandemic. Results show that the average weekly ridership declined by 52.04%. To account for the spatially heterogeneous relationship between the built environment and the ridership, the geographically weighted regression (GWR) model and the semiparametric GWR (S-GWR) …

Service Contracting As A Policy Response For Public Transport Recovery During The Covid-19 Pandemic: A Preliminary Evaluation, Varsolo Sunio, Wilhansen Joseph Li, Joemier Pontawe, Albert Dizon, Joel Bienne Valderrama, Agnes Robang

Department of Information Systems & Computer Science Faculty Publications

We examine and assess the service contracting (SC) program implemented for the first time in Metro Manila, Philippines as a response to the impact of the pandemic on road-based public transport sector. We develop an evaluation framework, consisting of three indicators: social amelioration, increase in transport supply and performance improvement. These indicators are the purported objectives of SC. Using a mix of qualitative and quantitative methods, our evaluation suggests that although SC has brought positive impact in terms of the first two indicators, there is no robust evidence so far that may suggest that SC has improved the performance of …

Why T.R.I.P Matters?, Jumoke Akinrimsi, The Grace E. Harris Leadership Institute At Virginia Commonwealth University, Lamar Bates, Arrington Evans, Kelly Evans, Lawrence Green, Trina Louise, Melissa Mason, Freddy Mejia, Lachelle Waller

GEHLI - 2026 VCUL Team Project Publications

Through the work of the House and Senate chief patrons: Delegate Delores L McQuinn (HB 142) and Senator George L. Barker (SB 342) changes to the Transit Ridership Incentive Program (TRIP) intended to increase funding to reduce the impact on public transit fares on individuals with low-incomes were signed into law during Virginia’s 2022 legislative session. House Bill (HB 142) and Senate Bill (SB 342) builds on 2020 legislation establishing TRIP to promote improved transit service in urbanized areas 1 of the Commonwealth with a population of more than 100,000 and to reduce barriers to transit use for low-income individuals. …

Moving From Cars To People, Kelly J. Clifton, Kristina M. Currans

Civil and Environmental Engineering Faculty Publications and Presentations

The twenty-page comic includes a dialogue, taking place in various urban settings, between characters Kelly and Kristi who are based on National Institute for Transportation and Communities (NITC) researchers Kelly Clifton of the University of British Columbia and Kristina Currans of the University of Arizona. The two have a long history of collaboration around the data, methods, and processes used to plan for multimodal transportation impacts of new development. This short graphic synopsis is an engaging, approachable way for anyone – no matter their level of expertise in this topic – to learn about their findings.

Illustrated by PSU Master …

Revised Corporate History Of Northern Pacific Railway Company As Of June 30, 1917. Centennial Edition Including A Foreword With Later Corporate Changes, Rollin R. Davis , Ed.

Zea E-Books Collection

doi: 10.32873/unl.dc.zea.1330

From the Foreword: Railroads have been important in American history since the mid-nineteenth century for national unification, the settlement of the American West, the industrial revolution, economic growth, models of complex organization for other large corporations, and the transition of America from rural, agrarian society to urban, industrial society. The railroads’ transformative influence of technological change and social change has been termed “railroadization” (Schumpeter 1939, 1:325-351). Alfred D. Chandler Jr. (1965, 9-12) characterized the railroad industry as the first big business in America. The transcontinental railroads were especially significant. A transcontinental railroad may be defined as a railroad …

Developing A Vr Training Model For Improving Transportation Safety Protocols For Rural Areas, Emmanuel Olumide Adeosun

Masters Theses

"This research evaluated the effectiveness of using simulated virtual reality driving environments to improve transportation safety in rural areas. The transportation accident fatality rate is more than double the national average in rural areas and highlights an important opportunity to address these challenges through improved safety protocols and investments. A review of the literature revealed high frequency scenarios that contributed the most to fatality or injury accidents. Virtual reality driving simulations were created based on these high frequency events using a specified rural roadway identified with the assistance of the Missouri Department of Transportation. Scenarios considered weather-related conditions, such as …

Successful Recruitment And Retention Strategies Used By Logistics Hiring Managers, Anna Ouattara

Walden Dissertations and Doctoral Studies

Employee turnover results in increased employers’ costs and a decrease in profitability. Transportation hiring managers who lack strategies to recruit and retain employees risk higher employee turnover, resulting in reduced profitability. Grounded in Herzberg’s two factory theory, the purpose of this qualitative multiple case study was to explore strategies transportation hiring managers use to recruit and retain employees to reduce employee turnover and improve profitability. The participants were three transportation hiring managers from three transportation companies in Eagan, Minnesota, who successfully implemented strategies resulting in employee retention. Data were collected using semi-structured interviews and a review of company documents. Data …