Transportation Commons^™

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 …

Containerization Of Seafarers In The International Shipping Industry: Contemporary Seamanship, Maritime Social Infrastructures, And Mobility Politics Of Global Logistics, Liang Wu

Dissertations, Theses, and Capstone Projects

This dissertation discusses the mobility politics of container shipping and argues that technological development, political-economic order, and social infrastructure co-produce one another. Containerization, the use of standardized containers to carry cargo across modes of transportation that is said to have revolutionized and globalized international trade since the late 1950s, has served to expand and extend the power of international coalitions of states and corporations to control the movements of commodities (shipments) and labor (seafarers). The advent and development of containerization was driven by a sociotechnical imaginary and international social contract of seamless shipping and cargo flows. In practice, this liberal, …

What Drives Housing Choices Of Refugees And Immigrants?, Diane Mitschke, Anne Nordberg, Stephen Mattingly, Katherine Kitchens, Yasmin Al-Zubi, Farah Naz

TREC Project Briefs

When newcomers to the US initially settle, if their chosen location does not meet their expectations or needs, that often propels them to relocate. To determine what helps drive those transition decisions, the researchers interviewed people if they fulfilled one of these requirements:

• They were members of the Dallas County community who were planning to move in the next five years.

• They had recently (within the past five years) moved from their initial residence following their arrival in Dallas County.
• They also had to be immigrants to or refugees in the US who were at least eighteen years old. Out …

App-Based Data Collection To Characterize Latent Transportation Demand Within Marginalized And Underserved Populations, Noelle L. Fields, Courtney Cronley, Stephen Mattingly, Nicole Iroz-Elardo, David Levine, Nithisha Gudipati, Cristine Highfill, Mary Kris Stringfelllow, Anna O'Dell, Rebecca Cole, Melody Huslage

TREC Final Reports

Our interdisciplinary team refined an app prototype, MyAmble, to gather data related to quantity of transportation disadvantage and latent demand, and to identify psycho-social-economic corollaries. MyAmble utilizes a traditional travel diary format but expands the type of trips measured to include 1) completed trips, 2) missed trips, and 3) latent travel demand. The app also measures the real-time perceived impact of transportation behaviors (realized and latent) on participants’ physical health, mental health, social engagement, and employment/academics. Finally, the app has a text-messaging feature, Travel Buddy, that is used to increase participant engagement and retention over longitudinal data collection. The project …

Housing Choice, Transportation Equity, And Access To Opportunities In Refugee And Immigrant Communities, Diane Mitschke, Anne Nordberg, Stephen Mattingly, Katherine Kitchens

TREC Final Reports

Mobility directly impacts access to opportunities for all protected classes; however, transportation planning and public transit agencies and housing authorities rarely coordinate affordable housing and the transportation system planning decisions. This lack of coordination often leads to mismatches between access to opportunities and affordable housing. Safe access to employment, quality schools, and healthcare represent a few of the many factors that may influence housing choice. For most households with budget constraints, all of these factors may not be achievable. While existing research documents the mismatch between affordable housing and access to opportunities, the role that mobility plays in residential selection …

Characterization Of Recent Wild Pig‑Vehicle Collisions In Georgia, Usa, Jeremiah L. Psiropoulos, Emily Howe, John J. Mayer, Sophie C. Mckee

USDA Wildlife Services: Staff Publications

Vehicle collisions with wild pigs (Sus scrofa) are reported almost everywhere this species is found. However, this is one of the least studied and characterized forms of damage that these invasive animals cause in the United States (US). We analyzed 518 wild pig-vehicle collisions (WPVCs) that took place statewide in Georgia between 2015 and 2021. From that dataset, we analyzed several parameters in order to better understand and characterize these accidents on a scale that had previously not been done in the US. Wild pig-vehicle collisions were reported from 105 out of the 159 counties in Georgia, increasing …

Cooperative Trucks And Drones For Rural Last-Mile Delivery With Steep Roads, Jiuhong Xiao, Ying Li, Zhiguang Cao, Jianhua Xiao

Research Collection School Of Computing and Information Systems

The cooperative delivery of trucks and drones promises considerable advantages in delivery efficiency and environmental friendliness over pure fossil fuel fleets. As the prosperity of rural B2C e-commerce grows, this study intends to explore the prospect of this cooperation mode for rural last-mile delivery by developing a green vehicle routing problem with drones that considers the presence of steep roads (GVRPD-SR). Realistic energy consumption calculations for trucks and drones that both consider the impacts of general factors and steep roads are incorporated into the GVRPD-SR model, and the objective is to minimize the total energy consumption. To solve the proposed …

Data From: Active Transportation Counts From Existing On-Street Signal And Detection Infrastructure, Sirisha Kothuri, Patrick Allen Singleton, Mahyar Vahedi Saheli, Elizabeth Yates, Joseph P. Broach

Civil and Environmental Engineering Faculty Datasets

This study’s objective was to use data from existing traffic signal infrastructure to estimate pedestrian volumes. Pedestrian push-button actuations were collected from signal controller logs at 49 intersections in western Oregon and an additional 16 intersections in eastern Oregon. These actuations were then compared to observed pedestrian counts, totaling over 34,000 people, obtained from video recordings. After exploring various options, a simple quadratic relationship was modeled using a single measure of pedestrian signal activity: the number of push-button presses (filtered to remove multiple presses within 15 seconds). The model’s predictions showed a correlation of 0.86 with observed pedestrian volumes and …

Trust: The Feature That Vending Machines And Atms Share, But Simplygo Lacks, Sun Sun Lim

Research Collection College of Integrative Studies

The article discussed the intricacies of trust in the SimplyGo debacle and highlighted how the design of physical interfaces like vending machines and ATMs and digital interfaces from apps like Grab, Parking.sg and ShopBack have critical features to instil trust. People need to be reassured that their transactions have proceeded as they should, and thay have not been short-changed.

Reducing Food Scarcity: The Benefits Of Urban Farming, S.A. Claudell, Emilio Mejia

Journal of Nonprofit Innovation

Urban farming can enhance the lives of communities and help reduce food scarcity. This paper presents a conceptual prototype of an efficient urban farming community that can be scaled for a single apartment building or an entire community across all global geoeconomics regions, including densely populated cities and rural, developing towns and communities. When deployed in coordination with smart crop choices, local farm support, and efficient transportation then the result isn’t just sustainability, but also increasing fresh produce accessibility, optimizing nutritional value, eliminating the use of ‘forever chemicals’, reducing transportation costs, and fostering global environmental benefits.

Imagine Doris, who is …

Influence Of Pavement Conditions On Commercial Motor Vehicle Crashes, Stephen Arhin, Babin Manandhar, Adam Gatiba

Mineta Transportation Institute Publications

Commercial motor vehicle (CMV) safety is a major concern in the United States, including the District of Columbia (DC), where CMVs make up 15% of traffic. This research uses a comprehensive approach, combining statistical analysis and machine learning techniques, to investigate the impact of road pavement conditions on CMV accidents. The study integrates traffic crash data from the Traffic Accident Reporting and Analysis Systems Version 2.0 (TARAS2) database with pavement condition data provided by the District Department of Transportation (DDOT). Data spanning from 2016 to 2020 was collected and analyzed, focusing on CMV routes in DC. The analysis employs binary …

Learning About Street Harassment On Transit: A Survey Instrument For Transit Agencies, Asha Weinstein Agrawal, Jon Canapary, Carol Anne Caroll, Tam J. Guy, Anastasia Loukaitou-Sideris

Mineta Transportation Institute Publications

This study was conducted in accordance with California Senate Bill 1161 (2022), legislation that directed the Mineta Transportation Institute to develop a reliable, easy-to-use survey instrument for collecting information from public transit passengers about the extent, location, and characteristics of any street harassment they experience. Although the legislation is focused on large California transit agencies, the study findings are equally relevant to smaller agencies and agencies outside the state. To develop the recommended questionnaire, we reviewed literature about street harassment, analyzed transit passenger surveys to explore the questions asked about safety and harassment, received feedback on iterative drafts of the …

Cycling Past 50: A Closer Look Into The World Of Older Cyclists, Year 4 Survey, Carol Kachadoorian

Mineta Transportation Institute Publications

This document reports on approximately 5,000 responses to a North American survey of older adults who cycle. The survey, open from August 2021 through March 2022, included questions that captured a person’s cycling over their life course, as well as their current cycling styles, habits, and preferences. Responses reflect the impact of various factors on an older adult’s cycling habits with respect to their ability and agility and their expectation to continue cycling. The survey asked about falls and near misses in the past-year coding fall descriptions into six categories and sorting them by the respondent’s gender and age. The …

Scooting To A Brighter Tomorrow: Shared E-Scooters And Their Use In Lincoln, Nebraska, Tanner J. Hiemer

Community and Regional Planning Program: Theses and Student Projects

As a recent addition to our transportation systems, shared e-scooters have the potential to improve how people travel in the urban environment. While there is a lot to be hopeful about, the relative novelty of e-scooters calls for closer examination of how they interact with the built environment and other modes of transportation. Additionally, the equity of shared e-scooters must be at the forefront of discussion when considering their utility in the future. Given their flexibility in use, e-scooters could fill spatial gaps in transportation systems and provide improved mobility to those who are most transportation disadvantaged. This research aims …

Decoding Usage And Adoption Behavior Of The Low-Carbon Transportation Market: An Ai-Driven Exploration, Vuban Chowdhury

Graduate Theses and Dissertations

The transportation sector stands as a significant contributor to greenhouse gas emissions in the United States, with its environmental impact steadily escalating over the past few decades. This has prompted government agencies to facilitate the adoption and usage of low-carbon transportation (LCT) options as alternatives to fossil-fuel-powered transportation. LCTs include modes of transportation that minimize the overall carbon footprint of the transportation sector by relying on energy sources that are environmentally sustainable. These sustainable transportation options have also garnered significant interest in the transportation research community. For government agencies and researchers alike, a comprehensive understanding of the adoption and usage …

Exploring Traffic Speed Patterns For The Implementation Of Variable Speed Limit (Vsl) Signs, Panick Kalambay, Srinivas Pulugurtha

Mineta Transportation Institute Publications

Traffic congestion is a prevalent issue during peak travel hours on roads in the United States. This study focuses on identifying suitable road links in Charlotte, North Carolina, for implementing variable speed limit (VSL) signs. Real-world traffic speed data collected over one year was analyzed to identify specific road links with favorable characteristics for VSL sign installations. The analysis considered weekdays, weekends, and specific times of the day to capture variations in speed patterns. The results revealed that roads with lower speed limits consistently experienced speeds exceeding the posted speed limits, suggesting additional enforcement or safety measures. For roads with …

Understanding The Effect Of Pervasive Events On Vehicle Travel Time Patterns, Chirag Akbari, Ninad Gore, Srinivas S. Pulugurtha

Mineta Transportation Institute Publications

The COVID-19 pandemic has disrupted daily activities and travel patterns, affecting personal and commercial trips. This study investigates the effect of different stages of the pandemic on travel time patterns. Eighty-six geographically distributed links (sections of road) in Mecklenburg County and Buncombe County, North Carolina, were selected for analysis. The selected links accounted for the variation in road geometry, land use, and speed limit. Travel time data for three years (i.e., 2019, 2020, and 2021) were extracted from a private data source at 5-min intervals. Travel time reliability (TTR) and travel time variability (TTV) are estimated for different phases of …

Autonomous Shuttle Implementation And Best Practices, Dil Samina Diba, Ninad Gore, Srinivas S. Pulugurtha

Mineta Transportation Institute Publications

When, where, and how autonomous shuttles are deployed can have significant safety, economic, and policy impacts on their operation and performance. This research analyzes data related to 120 existing deployments of autonomous shuttles, looking at safety, operational, economic, and policy-related issues. Analysis shows that autonomous shuttles would be an excellent supplement to public transportation. However, improvements to the vehicle and the infrastructure are needed before any permanent deployment. The study also analyzes the perceptions of practitioners, industry experts, and transportation system users toward autonomous shuttles. Principal Component Analysis (PCA) and Multiple Input Multiple Cause Structural Equation Modelling (SEM) approaches were …

Deep Learning, Machine Learning, Or Statistical Models For Weather-Related Crash Severity Prediction, Abimbola Ogungbire, Panick Kalambay, Hardik Gajera, Srinivas S. Pulugurtha

Mineta Transportation Institute Publications

Nearly 5,000 people are killed and more than 418,000 are injured in weather-related traffic incidents each year. Assessments of the effectiveness of statistical models applied to crash severity prediction compared to machine learning (ML) and deep learning techniques (DL) help researchers and practitioners know what models are most effective under specific conditions. Given the class imbalance in crash data, the synthetic minority over-sampling technique for nominal (SMOTE-N) data was employed to generate synthetic samples for the minority class. The ordered logit model (OLM) and the ordered probit model (OPM) were evaluated as statistical models, while random forest (RF) and XGBoost …

Analysis Of Travel Behavior At International Border Crossings: Application Of Travel Surveys, Jennifer Areli Moreno Escamilla

Open Access Theses & Dissertations

Transportation planning provides an insight into the demand and traffic distribution of existingconditions of a region and helps identify future transportation needs. The results generated from forecasting models influence many decisions on the selection of transportation projects and funding allocations. Thus, forecasting models require up-to-date trip information to represent trip patterns and generate representative traffic demand analysis in a such complex areas as binational regions. The purpose of this study is to provide an analysis on travel survey methodology applied to collect trip information at international border crossings. Based on the results of the survey, an analysis on trip pattern …