Transportation Commons^™

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

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 …

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 …

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 …

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 …

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 …

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, …

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 …

The Distributional Impacts Of Transportation Networks In China, Lin Ma, Yang Tang

Research Collection School Of Economics

We document that the quality of roads and railroads vary substantially over time and space in China, and neglecting these variations biases the distributional impacts of transportation networks. To account for quality differences, we construct a new panel dataset and approximate quality using the design speed of roads and railroads that varies by vintage, class, and terrain at the pixel level. We then build a dynamic spatial general equilibrium model for multiple modes, transportation routes, and forward-looking migration decisions. Our findings demonstrate that disregarding quality differences leads to a median bias of approximately 31% in estimating real wage growth rates …

Decentralized Multimedia Data Sharing In Iov: A Learning-Based Equilibrium Of Supply And Demand, Jiani Fan, Minrui Xu, Jiale Guo, Lwin Khin Shar, Jiawen Kang, Dusit Niyato, Kwok-Yan Lam

Research Collection School Of Computing and Information Systems

The Internet of Vehicles (IoV) has great potential to transform transportation systems by enhancing road safety, reducing traffic congestion, and improving user experience through onboard infotainment applications. Decentralized data sharing can improve security, privacy, reliability, and facilitate infotainment data sharing in IoVs. However, decentralized data sharing may not achieve the expected efficiency if there are IoV users who only want to consume the shared data but are not willing to contribute their own data to the community, resulting in incomplete information observed by other vehicles and infrastructure, which can introduce additional transmission latency. Therefore, in this paper, by modeling the …

Measurement Of Regional Electric Vehicle Adoption Using Multiagent Deep Reinforcement Learning, Seung Jun Choi, Junfeng Jiao

Research Collection College of Integrative Studies

This study explores the socioeconomic disparities observed in the early adoption of Electric Vehicles (EVs) in the United States. A multiagent deep reinforcement learning-based policy simulator was developed to address the disparities. The model, tested using data from Austin, Texas, indicates that neighborhoods with higher incomes and a predominantly White demographic are leading in EV adoption. To help low-income communities keep pace, we introduced tiered subsidies and incrementally increased their amounts. In our environment, with the reward and policy design implemented, the adoption gap began to narrow when the incentive was equivalent to an increase in promotion from 20% to …

How Will California’S Electric Vehicle Policy Impact State-Generated Transportation Revenues? Projecting Scenarios Through 2040, Asha Weinstein Agrawal, Hannah King, H. A. “Burt” Tasaico

Mineta Transportation Institute

California faces unprecedented uncertainty about how much revenue the state will raise from a package of taxes on motor fuels and annual registration fees on light-duty vehicles that was established in 2017 by Senate Bill 1 (SB 1). The SB 1 taxes are by far the largest source of revenue that the State of California generates to support maintenance, operations, and improvements for state highways, and the funds also contribute substantially to local transportation and public transit budgets. To help policymakers navigate the uncertainty about future SB 1 transportation revenue, this study used spreadsheet models to project revenue from the …

The Transportation Sector, Cap-And-Trade And Blockchain: A Carbon Credit Trading Platform, Aditya Mankar, Forouzan Golshani

Mineta Transportation Institute

This study offers a solution that facilitates direct trading of carbon credits with no intermediaries by using blockchain technology aligned with the cap-and-trade system. With this solution, along with other major transformations in the industry, the transportation sector can take more ownership of emissions and mitigate the impact of its role as the largest contributor of greenhouse gasses. The solution sits at the confluence of the Cap-and-Trade initiative, carbon credit trading, and blockchain technology. Although the concept of blockchains has been the subject of significant curiosity, scrutiny, boosterism, investment, criticism, it most importantly is at the core of useful, rapidly …

Multiobjective Stochastic Optimization: A Case Of Real-Time Matching In Ride-Sourcing Markets, Guodong Lyu, Wang Chi Cheung, Chung-Piaw Teo, Hai Wang

Research Collection School Of Computing and Information Systems

Problem Definition: The job of any marketplace is to facilitate the matching of supply with demand in real-time. Success is often measured using various metrics. The challenge is to design matching algorithms to balance the trade-offs among multiple objectives in a stochastic environment, to arrive at a “compromise” solution, which minimizes say the ℓp-norm-based distance function (for some 1 ≤p ≤∞) between the attained performance metrics and the target performances.Methodology/Results: We observe that the sample-average-approximation formulation of this multi-objective stochastic optimization problem can be solved by an online algorithm that uses only gradient information from “historical” (i.e., past) sample information, …

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 …

A Double Taboo? An Exploratory Study Of Mental Health Perceptions Amongst Black Aerospace Professionals, Theodore W. Johnson Ph.D., Arlean Timmons, Kenisha V. Ford, Harriet Sanya

National Training Aircraft Symposium (NTAS)

This exploratory study delves into the often-overlooked realm of mental health perceptions among Black aerospace professionals, shedding light on a double taboo within a historically stigmatized industry and community. In response to the escalating mental health crisis in the U.S. and scarcity of research focusing exclusively on the mental health experiences of Black aerospace professionals, this research endeavors to uncover their unique perspectives.

The findings from the study indicate that Black aerospace professionals navigate not only the universal challenges of mental health but also complex socio-cultural and workplace factors, such as discrimination, underrepresentation, and the historic reluctance to discuss mental …

Examining Causes And Outcomes Of Migration Patterns Out Of Southeast Michigan, Alex B. Hill, Rayman Mohamed, Allan Yang

Urban Studies and Planning Faculty Research Publications

This report describes a survey of U-Haul patrons regarding their experiences utilizing U-Haul to move out of the Southeast Michigan region.

Executive Summary

In the latest U-Haul Growth Index, the state of Michigan moved from ranking 48 out of 50 states up to 46. This represents a relatively small change that doesn’t relate to the documented population loss in the state.

The city of Detroit and Michigan are both at critical crossroads. Population declines are pushing local officials to come up with new and unique programs to attract new residents, new business investment, and new tax revenue.

The reasons that …