Transportation Commons^™

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) …

Schedule Reliability In Liner Shipping Timetable Design: A Convex Programming Approach, Abraham Zhang, Zhichao Zheng, Chung-Piaw Teo

Research Collection Lee Kong Chian School Of Business

Container liner shipping is the primary mode of moving manufactured products across continents. Partly due to inherent uncertainties at sea and ports, the liner shipping industry has long had a notorious reputation of schedule delays and unreliable on-time performance. This paper formulates a new approach to incorporate schedule reliability targets in liner shipping timetable design, to balance bunker consumption, time taken for the voyage, and schedule delays. We first model a surrogate problem using a copositive program through a moment decomposition approach and solve it as a convex semidefinite programming relaxation. We next incorporate schedule reliability targets implicitly by exploiting …

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 …

Can Californian Households Save Money On Transportation Costs By Living In Transit-Oriented Developments (Tods)?, Hongwei Dong

Mineta Transportation Institute

Many residents in large Californian metropolitan areas are heavily burdened by housing costs. Advocates, researchers, and elected officials in California are debating whether transit-oriented development (TOD) could be an effective tool to mitigate the housing affordability problem by increasing housing supply and reducing transportation costs in transit-rich neighborhoods. This study contributes to this debate by estimating how much Californian families can save on transportation costs by living in transit-oriented developments (TODs). By utilizing the confidential version of the 2010–2012 California Household Travel Survey, this study evaluates the impact of TOD on household transportation expenditures by comparing TOD households with two …

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 …

Crash Injury Severity Prediction With Artificial Neural Networks, Rima Abisaad

Dissertations

Motor vehicle crashes are one of our nation's most serious social, economic and health issues. They are the leading cause of death among children and young adults, killing approximately 1.35 million people each year. Providing a safe and efficient transportation system is the primary goal of transportation engineering and planning. To help reduce traffic fatalities and injuries on roadways, crash prediction models are used to forecast the injury severity of potential crashes and apply precautionary countermeasures accordingly. Most of these models are reactive as they use historical crash data to categorize crash-related factors. Recently, advancements have been made in developing …

Interstate 11: The Road To Prosperity In Nevada, Arthur C. Nelson

Policy Briefs and Reports

Interstate 11 (I-11) offers Nevada a unique opportunity to advance the economic development prospects of one of the state’s most economically challenged areas: Elko and eastern Nevada. Although the state used a qualitative system to choose a western route for I-11, this process may not have considered fully the costs of extending I-11 to Canada in a cost-effective manner or in a manner consistent with I-11 purposes, especially avoiding congested areas. This briefing report reviews the history and purposes of I-11; summarizes the I-11 route options; considers how I-11 might extend to Canada in a way that is consistent with …

Non-Linear And Weakly Monotonic Relationship Between School Quality And House Prices, Shishir Mathur

Faculty Research, Scholarly, and Creative Activity

This study provides evidence for a non-linear and weakly monotonic relationship between school quality and house prices. Using Fremont, California, as the study area, the regression analysis shows that homeowners are unwilling to pay a premium for an increase in school quality from low to medium quality. However, they are willing to pay a) a large premium when all schools are top-quality schools and b) a premium for access to nationally-renowned schools, which is in addition to the premium for top-quality schools. These findings have important land use policy significance because they provide new insights into the homeowner’s residential location …

A New Approach To Transportation Pricing: Lessons From The Poem Project, Shoshana Cohen, Emma Sagor

PSU Transportation Seminars

In October 2021, Portland City Council accepted the Pricing Options for Equitable Mobility (POEM) report. This was the culmination of 18 months of work by the POEM Task Force, a group of 19 volunteer community members who explored whether pricing tools—or charges related to driving or using road space—could be used to improve mobility, reduce climate impact, and make our transportation system more equitable. More information is available at Portland.gov/POEM.

At this seminar, POEM Project Managers Shoshana Cohen and Emma Sagor from the Portland Bureau of Transportation (PBOT) will share how this project took on the topic of …

Factors Influencing The Usage Of Shared E-Scooters : A Case Study Of Chicago, Farzana Mehzabin Tuli

Graduate Theses and Dissertations

The rapid popularity growth of shared e-scooters creates the necessity of understanding the determinants of shared e-scooter usage. This thesis estimates the impacts of temporal variables (weather data, weekday/weekend, and gasoline prices) and time-invariant variables (socio-demographic, built environment, and neighborhood characteristics) on the shared e-scooter demand by using four months (June 2019- October 2019) period of data from the shared e-scooter pilot program in Chicago. The study employs a random-effects negative binomial (RENB) model that effectively models shared e-scooter trip origin and destination count data with over-dispersion while capturing serial autocorrelation in the data. Results of temporal variables indicate that …

Level Of Service For Parking Facilities Based On Search Time, Fernie Briones

Open Access Theses & Dissertations

Level of Service (LOS) is a term used by transportation engineers to identify the quality of service of transportation facilities to the public. The Highway Capacity Manual has yet to provide guidance on LOS analysis for parking facilities. Parking search time has been proposed by several researchers as the indicator for the LOS criteria for parking facilities. This thesis investigated the use of search time for LOS analysis for on street and off-street parking facilities. The analysis of LOS for off-street parking focused on the measurement of parking search time. Three search time measurement methods have been proposed: the license …

Determination Of Faculty And Staff Parking Permit Prices On University Campuses, Rodrigo Garcia

Open Access Theses & Dissertations

University campuses are the origins and destinations of a variety of trips generated by faculty, staff, students, and visitors. The vast number of trips that are attracted to university campuses result in parking congestion issues. In order to manage campus parking demand, universities establish Transportation and Parking Offices (TPO). This research has developed a two-stage procedure that can be used by TPOs as a tool for determining faculty and staff parking permit prices on university campuses. The first stage of the procedure is the determination of a single campus-wide base price (which may be regarded as the reference price or …

What Is An Effective Way To Measure Arterial Demand When It Exceeds Capacity?, Mecit Cetin, Hong Yang, Kun Xie, Giridhar Kattepogu, Behrouz Salahshour

Civil & Environmental Engineering Faculty Publications

This project focused on developing and evaluating methods for estimating demand volume for oversaturated corridors. Measuring demand directly with vehicle sensors is not possible when demand is larger than capacity for an extended period, as the queue grows beyond the sensor, and the flow measurements at a given point cannot exceed the capacity of the section. The main objective of the study was to identify and develop methods that could be implemented in practice based on readily available data. To this end, two methods were proposed: an innovative method based on shockwave theory; and the volume delay function adapted from …

Identification And Evaluation Of Critical Transportation Infrastructure Resilience After Hydro-Meteorological Event, Herman Serrato

Open Access Theses & Dissertations

Modern civilization is dependent on essential infrastructure assets that allow society to function in today’s standards. Critical interdependent infrastructure such as transportation, communication, security, and public health are marvels of human innovation and an important aspect of civilization's evolution. Recent world events such as climate change have underlined the necessity to develop strategic plans to enhance the resilience of infrastructure. This study aimed to identify and evaluate the flooding potential of critical transportation infrastructure that will influence traffic flow and impact the economy. The technical workflow is based on observations, predictions, experiments, testing, and analysis to derive a resilience score …

Exempting Battery Electric Vehicles From Traffic Restrictions: Impacts On Market And Environment Under Pigovian Taxation, Xu Hu, Zhaojun Yang, Jun Sun, Yali Zhang

Information Systems Faculty Publications

In busy metropolitan areas, traffic restrictions based on the last digits of license plates effectively ease traffic jams and improve air quality. Recently, policy-makers in China exempted battery electric vehicles (BEV) from traffic restrictions to promote their diffusion in place of conventional vehicles (CV). To examine the impacts of such an exemption on consumers and manufacturers as well as the environment, this study models the duopoly competition between BEV and CV manufacturers as a Cournot game. The numerical analyses compare three traffic restriction policies concerning BEV and CV, and reveal the pros and cons of each. In particular, the BEV-exempted …

Achieving Excellence For California’S Freight System: Developing Competitiveness And Performance Metrics; Incorporating Sustainability, Resilience, And Workforce Development, Jian-Yu Ke, Fynnwin Prager, Jose Martinez, Chris Cagle

Mineta Transportation Institute

This study explores the question of whether California's freight system is staying competitive with other US regions. A novel analytical framework compares supply chain performance metrics across multiple US states and regions for seaports, airports, highways, freight rail service, and distribution centers by combining the Performance Evaluation Matrix (PEM), Competitive Position Matrix (CPM), and Business Process Management (BPM) approaches. Analysis of industry data and responses from structured interviews with 30 freight industry experts across 5 transportation sectors suggests that California's freight system is competitive for seaports, airports, and freight rail; however, highways and distribution centers have room for improvement with …

Solar-Powered Automated Transportation: Feasibility And Visualization, Burford J. Furman, Laxmi Ramasubramanian, Shannon Mcdonald, Ron Swenson, Jack Fogelquist, Yu Chiao, Alex Pape, Mario Cruz

Mineta Transportation Institute

A solar-powered automated transportation network (ATN) connecting the North and South campuses of San José State University with three passenger stations was designed, visualized, and analyzed in terms of its energy usage, carbon offset, and cost. The study’s methodology included the use of tools and software such as ArcGIS, SketchUp, Infraworks, Sketchup, Rhinoceros, and Autodesk 3DS Max. ATN vehicle energy usage was estimated using data from the university’s Park & Ride shuttle bus operation and by modeling with SUMOPy, the advanced simulation suite for the micro-traffic simulator SUMO. The energy study showed that an extensive solar photovoltaic (PV) canopy over …

Context-Aware Graph Convolutional Network For Dynamic Origin-Destination Prediction, Juan Nathaniel, Baihua Zheng

Research Collection School Of Computing and Information Systems

A robust Origin-Destination (OD) prediction is key to urban mobility. A good forecasting model can reduce operational risks and improve service availability, among many other upsides. Here, we examine the use of Graph Convolutional Net-work (GCN) and its hybrid Markov-Chain (GCN-MC) variant to perform a context-aware OD prediction based on a large-scale public transportation dataset in Singapore. Compared with the baseline Markov-Chain algorithm and GCN, the proposed hybrid GCN-MC model improves the prediction accuracy by 37% and 12% respectively. Lastly, the addition of temporal and historical contextual information further improves the performance of the proposed hybrid model by 4 –12%.

Integration Of Blockchain Technology Into Automobiles To Prevent And Study The Causes Of Accidents, John Kim

Electronic Theses, Projects, and Dissertations

Automobile collisions occur daily. We now live in an information-driven world, one where technology is quickly evolving. Blockchain technology can change the automotive industry, the safety of the motoring public and its surrounding environment by incorporating this vast array of information. It can place safety and efficiency at the forefront to pedestrians, public establishments, and provide public agencies with pertinent information securely and efficiently. Other industries where Blockchain technology has been effective in are as follows: supply chain management, logistics, and banking. This paper reviews some statistical information regarding automobile collisions, Blockchain technology, Smart Contracts, Smart Cities; assesses the feasibility …

Rail Fixed Guideway Systems In Western U.S. Regions, Kelly A. Beavers

UNLV Theses, Dissertations, Professional Papers, and Capstones

This research explores the policy factors influencing the intraregional development of rail transit. For the purpose of this research, policy factors include: institutional arrangements, factors associated with governance, and factors in the policymaking process. The research questions are studied in five case study MSAs within the Pacific West and Mountain West regions of the United States: Phoenix-Mesa-Chandler, AZ; Denver-Aurora-Lakewood, CO; Riverside-San Bernardino-Ontario, CA; Los Angeles-Long Beach-Anaheim, CA; and Portland-Vancouver-Hillsboro, OR. The foundational problems that frame this research are the challenges of urban planning at a regional scale, specifically for transportation. The more specific challenge of transportation planning is situated within …