Transportation Commons^™

Smart Public Transportation And Mobility Hub Design In El Paso, Jiri Vojtisek

Open Access Theses & Dissertations

This thesis explores the potential of a Smart Public Transportation concept and mobility hub design as tools to mitigate the growing trend of transportation issues, such as traffic congestion, reliance on privately owned vehicles, or unattractive public transportation. Consequently, residentsâ?? lives are negatively affected by excessive noise, air pollution, and travel delays, leading to increased safety risks, lost productivity, and a lower quality of life. Considering these challenges, the study begins by analyzing the current state of public transportation in El Paso. Next, it introduces a toolkit from the Smart City concept, followed by case studies of best practices of …

Allocating Vehicle Registration Permits, Massimiliano Landi, Domenico Menicucci

Research Collection School Of Economics

We compare social welfare, consumer surplus and profits in two different institutional settings in which an item whose quantity is fixed and controlled (vehicle registration permit) is allocated to the buyers of a complementary good (car). In the first setting, which resembles the way in which vehicle registration permits are allocated in Singapore, the central planner runs a uniform price auction for permits in which the consumers who bid the highest receive the permits and pay the highest losing bid. Then each winning consumer purchases a car from a seller. In the alternative setting, the central planner first allocates the …

What Do Americans Think About Federal Tax Options To Support Transportation? Results From Year Fifteen Of A National Survey, Asha Weinstein Agrawal, Hilary Nixon

Mineta Transportation Institute

This report summarizes the results from the fifteenth year of a national public opinion survey asking U.S. adults questions related to their views on federal transportation taxes. A nationally representative sample of 2,522 respondents completed the online survey from February 7 to March 12, 2024. The questions test public opinions about raising the federal gas tax rate, replacing the federal gas tax with a new mileage fee, and imposing a mileage fee just on commercial travel. In addition to asking directly about support for these tax options, the survey collected data on respondents’ views on the quality of their local …

Exploring Equity Frameworks For A Cross-Jurisdictional Vehicle Miles Traveled Mitigation Program In Santa Clara County, Serena Alexander, Luana Chen, Maxwell Belote-Broussard

Mineta Transportation Institute

The Santa Clara Valley Transportation Authority (VTA) partnered with a Mineta Transportation Institute (MTI) research team and San José State University (SJSU) students for assistance in developing the equity framework for the agency’s proposed Equitable Vehicle Miles Traveled (VMT) Mitigation Program. The goal of the program is to reduce the amount of driving generated from new developments in Santa Clara County through transportation solutions with equity and cross-jurisdictional collaboration in mind. During the Fall 2023 semester, graduate urban planning students from SJSU worked to develop policy recommendations for the program equity framework through a literature review, spatial analysis, community engagement …

Impervious Surfaces From High Resolution Aerial Imagery: Cities In Fresno County, Yushin Ahn, Richard Poythress

Mineta Transportation Institute

This study investigates impervious surfaces — areas covered by materials with restricted water permeability, such as pavement, sidewalks, and parking lots—due to their crucial role in influencing water dynamics within urban landscapes. The impermeability of these surfaces disrupts natural water absorption processes, resulting in adverse environmental consequences such as increased flooding, erosion, and water pollution. The research employs impervious surface analysis, a method involving the mapping and analysis of these surfaces within specified study areas, including cities, counties, and census tracts. Remote sensing techniques, specifically satellites and aerial imagery, are commonly utilized for the identification and classification of impervious surfaces. …

Transit Workforce Development Challenges And Mitigation Practices, Jodi Godfrey

Mineta Transportation Institute

The objective of this research is to summarize previously conducted research related to workforce development challenges in the transit industry, detailing major findings and subsequent recommendations based on the annotated bibliography of the current atmosphere and most successful ways to mitigate those challenges to attract and retain talent in the transit industry. According to the U.S. Chamber of Commerce, the U.S. had over 10 million job openings and only 5.7 million unemployed workers in March 2023. In 2017, the Washington Post posited that there were not enough workers to fill the vacancies, as the U.S. Census Bureau announced a 17-year …

Learning Nighttime Semantic Segmentation The Hard Way, Wenxi Liu, Jiaxin Cai, Qi Li, Chenyang Liao, Jingjing Cao, Shengfeng He, Yuanlong Yu

Research Collection School Of Computing and Information Systems

Nighttime semantic segmentation is an important but challenging research problem for autonomous driving. The major challenges lie in the small objects or regions from the under-/over-exposed areas or suffer from motion blur caused by the camera deployed on moving vehicles. To resolve this, we propose a novel hard- class-aware module that bridges the main network for full-class segmentation and the hard-class network for segmenting aforementioned hard-class objects. In specific, it exploits the shared focus of hard-class objects from the dual-stream network, enabling the contextual information flow to guide the model to concentrate on the pixels that are hard to classify. …

Shifting Gears: Toward A New Way Of Thinking About Transportation, Susan Handy

PSU Transportation Seminars

The transportation system in the U.S. has been shaped by a core set of ideas that are embedded in professional practice. These ideas – freedom, speed, mobility, vehicles, capacity, hierarchy, separation, control, and technology – have produced a system in which most people are dependent on driving, with all the negative consequences that entails. Shifting to a system that offers people choices about their daily travel requires a shift in thinking on the part of the transportation profession. In this talk, I take a critical look at the way of thinking that, for the last century, has shaped our transportation …

Webinar: Marginalized Populations’ Access To Transit, Marisa Zapata

TREC Webinar Series

How do people with intersecting marginal identities experience social exclusion as they travel via mass transit? To answer this question, PSU researchers employed a qualitative method less common in transportation studies: photovoice. Researchers asked participants to describe the factors that shape their travel behavior and provide photographic data of their experiences. Then, they conducted in-depth video interviews to gain further depth and clarity regarding the visual data. The findings from this study can help transit system designers better understand how experiences of harassment and discrimination across the entire users’ journey affects the riders’ decisions about whether and when to take …

The Identification Of The Flower Thrips, Frankliniella Karny (Thysanoptera: Thripidae) Intercepted At U. S. Ports Of Entry, Thomas L. Skarlinsky Ii

Insecta Mundi

United States port of entry interception data revealed that Frankliniella Karny (Thysanoptera: Thripidae) was the most frequently intercepted genus of Thripidae. No published identification resource for intercepted Frankliniella is available to United States Department of Agriculture (USDA) port of entry entomology identifiers. A morphological review of intercepted species was conducted. A dichotomous key for the identification of intercepted slide mounted adult females was created. Morphological diagnosis, description of each species with their geographic region(s) of origin and frequency of interception is provided.

ZooBank registration. urn:lsid:zoobank.org:pub:403B362E-9A7F-4385-A0F1-9DB87FE09AD2

The X-Minute Commute City As A Planning Paradigm: An Evaluation Using Commute And Wellbeing Data From The Singapore Life Panel, Sock Yong Phang, Yeng Cong Wong, Stephen Hoskins

ROSA Journal Articles and Publications

The x-minute city has emerged as a popular concept in transport planning in the past decade. Usually associated with planning for 15-minute neighbourhoods, cities such as Sydney and Singapore have expanded the concept to include setting time targets for commutes. In Singapore, transport planners have committed to long term goals of 20minute neighbourhoods and a 45-minute city (for commuting trips) by 2040. This paper uses a dataset for 2,535 Singapore residents aged 55 to 75 years to investigate three related questions important for evaluating the 45-minute city goal: the predictors of long commutes; the relationship between commute time and life …

Safety Evaluation Of Hawaii Dot Modified Type A-1 Flared Buried In Backslope Guardrail End Terminal, Sina Changizian

Department of Mechanical and Materials Engineering: Dissertations, Theses, and Student Research

The Hawaii Department of Transportation (HDOT) desired to evaluate the crashworthiness of a guardrail end terminal design in which the upstream guardrail anchorage was connected to a block partially buried in a cut slope, known as a “Buried in Backslope” or BIB design. The HDOT BIB system used an upper W-beam with 8-in. deep blockouts attached to W6x9 steel posts and a lower W-beam rubrail located 3 in. below the upper rail. The system used two horizontal flares: 7.4:1 near the upstream anchor block and a 13:1 flare through the ditch.

Critical impact points (CIPs) were identified and recommended for …

Lisbon’S Electric Vehicle (Ev) Fleet: A Cost-Benefit Analysis Of A Mass Adoption Of Evs In Lisbon By 2050, Maya Estrera

Independent Study Project (ISP) Collection

As the impacts of climate change increase, the EU and its member countries are attempting to achieve carbon neutrality by 2050. The adoption of electric vehicles is proving to be a promising solution to achieve this goal, and specifically, reductions in the transport sector emissions. This study analyzes the potential costs and benefits resulting from a mass adoption of electric vehicles in Lisbon by 2050. Through a cost-benefit analysis, this study aims to quantify the major costs and benefits associated with electric vehicles. The results display the potential monetary benefits of a city-wide shift to electric vehicles in addition to …

Editorial: Emerging On-Demand Passenger And Logistics Systems: Modelling, Optimization, And Data Analytics, Jintao Ke, Hai Wang, Neda Masoud, Maximilian Schiffer, Goncalo H. A. Correia

Research Collection School Of Computing and Information Systems

The proliferation of smart personal devices and mobile internet access has fueled numerous advancements in on-demand transportation services. These services are facilitated by online digital platforms and range from providing rides to delivering products. Their influence is transforming transportation systems and leaving a mark on changing individual mobility, activity patterns, and consumption behaviors. For instance, on-demand transportation companies such as Uber, Lyft, Grab, and DiDi have become increasingly vital for meeting urban transportation needs by connecting available drivers with passengers in real time. The recent surge in door-to-door food delivery (e.g., Uber Eats, DoorDash, Meituan); grocery delivery (e.g., Amazon Fresh, …

Modeling The Impact Of Connected And Automated Vehicles On Driving Behaviors And Safety: A Driving Simulator Study, Abdalziz Alruwaili

Civil & Environmental Engineering Theses & Dissertations

Connected vehicles (CVs), equipped with advanced sensors, can communicate safety messages to drivers. Automated vehicles (AVs), designed with the ability to automate safety critical control functions, will redefine the traditional role of drivers. This dissertation aims to investigate the impact of connected and automated vehicles (CAVs) on driving behaviors and safety outcomes using data from driving simulator experiments. More specifically, the research objectives include:

1. Modeling the impacts of CVs on driving aggressiveness and situational awareness in highway crash scenarios.

2. Modeling the impacts of CV technologies on driving behaviors and safety outcomes in highway crash scenarios under diverse weather …

Preserving Location Authenticity: Multi-Sensor System To Thwart Gps Spoofing In Self-Driving Vehicles, Peng Jiang

Electrical & Computer Engineering Theses & Dissertations

The ubiquity of the Global Positioning System (GPS) has cemented its role as the cornerstone for an array of location-based services and navigation systems, spanning applications from autonomous vehicles and drones to maritime vessels and wearable technology. Nonetheless, ensuring the integrity of reported geographical coordinates poses a formidable challenge, owing to the proliferation of diverse GPS spoofing tools. This predicament is compounded by the pervasive availability of tools like Fake GPS, Lockito, and software-defined radios, enabling even unsophisticated users to commandeer and disseminate counterfeit GPS coordinates. This dissertation undertakes the task of devising an encompassing and resilient framework, integrating a …

Webinar: Assessing Cool Corridor Heat Resilience Strategies For Human-Scale Transportation, Ladd Keith, Kristina Currans

TREC Webinar Series

Heat is the number one weather-related killer in the United States, and the implications of heat impacts range from individual transportation users, to emergency management services, and entire transportation networks and systems. In this presentation, we'll cover key concepts for urban planning and heat resilience, including heat mitigation and management strategies. Additionally, we will discuss the original NITC-sponsored data collection evaluating one such cool corridor strategy--PlusTI cool pavement rejuvenator--and the associated challenges of researching impacts of strategies on human-comfort in natural and built environments.

A Survey Of North American Electric Bicycle Owners, Cameron Steven Bennett

Dissertations and Theses

Rapid recent growth in the popularity of electric bicycles (e-bikes) has captured the attention of transportation researchers and policymakers seeking safe, sustainable, and active alternatives to conventional transportation modes. This thesis presents an investigation of e-bike owners in North America, complementing previous efforts in 2013 and 2017, and suggests implications for North American transportation planning.

An online survey was distributed to e-bike owners in the United States and Canada through email outreach, purchase incentive programs, and social media. The survey included questions on the respondents’ demographics, e-bikes, purchase decisions, travel behavior, perceptions of e-bikes, crash experience, maintenance needs, and receipt …

T-Pickseer: Visual Analysis Of Taxi Pick-Up Point Selection Behavior, Shuxian Gu, Yemo Dai, Zezheng Feng, Yong Wang, Haipeng Zeng

Research Collection School Of Computing and Information Systems

Taxi drivers often take much time to navigate the streets to look for passengers, which leads to high vacancy rates and wasted resources. Empty taxi cruising remains a big concern for taxi companies. Analyzing the pick-up point selection behavior can solve this problem effectively, providing suggestions for taxi management and dispatch. Many studies have been devoted to analyzing and recommending hotspot regions of pick-up points, which can make it easier for drivers to pick-up passengers. However, the selection of pick-up points is complex and affected by multiple factors, such as convenience and traffic management. Most existing approaches cannot produce satisfactory …

Conditional Neural Heuristic For Multiobjective Vehicle Routing Problems, Mingfeng Fan, Yaoxin Wu, Zhiguang Cao, Wen Song, Guillaume Sartoretti, Huan Liu, Guohua Wu

Research Collection School Of Computing and Information Systems

Existing neural heuristics for multiobjective vehicle routing problems (MOVRPs) are primarily conditioned on instance context, which failed to appropriately exploit preference and problem size, thus holding back the performance. To thoroughly unleash the potential, we propose a novel conditional neural heuristic (CNH) that fully leverages the instance context, preference, and size with an encoder–decoder structured policy network. Particularly, in our CNH, we design a dual-attention-based encoder to relate preferences and instance contexts, so as to better capture their joint effect on approximating the exact Pareto front (PF). We also design a size-aware decoder based on the sinusoidal encoding to explicitly …