Urban Studies and Planning Commons^™

Data From: “Developing Strategies To Enhance Mobility And Accessibility For Community-Dwelling Older Adults”, Kate Hyun, Kathy Lee, Caroline Krejci

TREC Datasets and Databases

This study administered a survey to 146 lower-income adults in Dallas, TX, aged 55 and older, between February and June 2020. As affordable public transportation options target senior citizens age 65 and older, this study focused on older adults as aged 65 and over. However, we also recruited adults aged 55 to 64 to distinguish how emerging seniors differently perceive or perform transportation activities compared to current older adults. In a partnership with a local organization providing resources and information for older adults and family caregivers located in Dallas, we used snowball sampling by recruiting participants from Foster Grandparent Program …

Developing Strategies To Enhance Mobility And Accessibility For Community-Dwelling Older Adults, Kate Hyun, Kathy Lee, Caroline Krejci, Nilufer Oran Gibson, Troyee Saha

TREC Final Reports

Mobility disparities among older adults affect their ability to travel and access services. This project seeks to understand challenges, barriers, and gaps that older adults experience, and develop forms of assistance or educational strategies to fill the varying mobility gaps and meet mobility needs. This study characterizes older adults’ use of existing and potential transportation options, including conventional transit, paratransit, and ride-hailing systems, based on surveys collected from 146 low-income older adults in Dallas, TX. Using the survey data and interview data, we develop two mathematical modeling (a Latent Class Cluster Analysis and agent-based modeling (ABM)) and conduct content analysis …

Development Of Intelligent Multimodal Traffic Monitoring Using Radar Sensor At Intersections, Siyang Cao, Yao-Jan Wu, Feng Jin

TREC Final Reports

Multimodal traffic monitoring is critical for improving mobility and safety at intersections with potential conflicts among various modes of transportation. Traditional traffic monitoring approaches utilizing cameras cannot work reliably during the night and under hazardous weather conditions. We propose to build a new intelligent multimodal traffic monitoring device using the low-cost mmWave radar. The proposed device can reliably distinguish different modes (such as buses, pedestrians, bicyclists, trucks, motorcycles, etc.), and determine the counts, speed, and moving directions of every single target in an urban environment under various lighting and weather conditions. In the study, a low-cost prototype system will also …

New Radar Sensor Technology For Intelligent Multimodal Traffic Monitoring At Intersections, Siyang Cao, Yao-Jan Wu, Feng Jin

TREC Project Briefs

Intelligent Transportation Systems (ITS) need traffic data to run smoothly. At intersections, where there is the greatest potential for conflicts between road users, being able to reliably and intelligently monitor the different modes of traffic is crucial.

The Federal Highway Administration estimates that more than 50 percent of the combined total of fatal and injury crashes occur at or near intersections. For pedestrians the intersection is a particularly dangerous place: the City of Portland, OR identified that two-thirds of all crashes involving a pedestrian happen at intersections. And when darkness comes earlier in fall and winter, crashes increase dramatically. So …

Improving Mobility And Quality Of Life For Older Adults, Kate Hyun, Caroline Krejci, Kathy Lee

TREC Project Briefs

As we get older, transportation provides a vital link between home and community. Without reliable and easy ways to get around, many older adults (especially those who live alone) have limited access to essentials like groceries and medicine, let alone social interaction. A new report from the University of Texas at Arlington (UTA), Developing Strategies To Enhance Mobility And Accessibility For Community-Dwelling Older Adults, looked at the mobility challenges, barriers, and gaps that older adults experience, with an eye toward developing forms of assistance or educational strategies to fill those gaps.

New Mobility For All: Bringing Emerging Transportation Options To Underserved Communities, John Macarthur, Nathan Mcneil

TREC Project Briefs

Low-income residents, immigrants, seniors, and people with disabilities – these are people who stand to gain the most from new tools and services that reduce transportation costs and travel time. However, issues of affordability, technology adoption, banking access or other barriers can limit access to these new mobility opportunities. In the latest project funded by the National Institute for Transportation and Communities (NITC), New Mobility For All, Portland State University researchers Nathan McNeil, John MacArthur and Huijun Tan worked with the City of Portland’s Bureau of Transportation (PBOT) to evaluate a local pilot program: the Transportation Wallet for Residents of …

Examining The Impact Of Transportation-Related Barriers On Self-Perceived Physical Health Among Adults In The United States, Philip Baiden, Godfred O. Boateng, Stephen Mattingly, Alan Kunz Lomelin

TREC Final Reports

Objective: Drawing from the framework of social determinants of health, the objective of this paper was to investigate the crosssectional association between transportation-related factors and self-perceived physical health among adults in the U.S. while adjusting for known demographic and socioeconomic-related factors.

Methods: Data for this report were derived from the 2017 National Household Travel Survey. An analytic sample of 71,235 respondents aged 18 and 64 years was analyzed using binary logistic regression. The outcome variable examined was self perceived physical health and the main explanatory variable was a measure of household vehicle deficit.

Results: Of the 71,235 respondents examined, 8.9% …

New Mobility For All: Evaluation Of A Transportation Incentive Program For Residents Of Affordable Housing In Portland, Or, Nathan Mcneil, John Macarthur, Huijun Tan

TREC Final Reports

Low-income residents, immigrants, seniors, and people with disabilities - people who are often the most transport disadvantaged and thus stand to gain the most from tools that could reduce transportation costs and time – are often poorly served by new transportation tools and services, whether due to issues of affordability, gaps in technology adoption, unbanked populations, social or knowledge gaps, physical access, or other barriers. The research team worked with the Portland Bureau of Transportation (PBOT) to evaluate the Transportation Wallet for Residents of Affordable Housing Pilot (TWRAH). The program provided a set of transportation incentives for low-income participants including …

Road Work Ahead: Using Deep Neural Networks To Estimate The Impacts Of Work Zones, Abbas Rashidi, Ali Hassandokht Mashhadi

TREC Project Briefs

Roadside construction - be it a detour, a closed lane, or a slow weave past workers and equipment - work zones impact traffic flow and travel times on a system-wide level. The ability to predict exactly what those impacts will be, and plan for them, would be a major help to both transportation agencies and road users. Funded by the National Institute for Transportation and Communities, the latest Small Starts project led by Abbas Rashidi of the University of Utah introduces a robust, deep neural network model for analyzing the automobile traffic impacts of construction zones.

Evaluating Mobility Impacts Of Construction Work Zones On Utah Transportation System Using Machine Learning Techniques, Ali Hassandokht Mashhadi, Abbas Rashidi

TREC Final Reports

Construction work zones are inevitable parts of daily operations at roadway systems. They have a significant impact on traffic conditions and the mobility of roadway systems. The traffic impacts of work zones could significantly vary due to several interacting factors such as work zone factors (work zone location and layout, length of the closure, work zone speed, intensity, and daily active hours); traffic factors (percentage of heavy vehicles, highway speed limit, capacity, mobility, flow, density, congestion, and occupancy); road factors (number of total lanes, number of open lanes, and pavement grade and condition); temporal factors (e.g., year, season, month, weekday, …

Data Files: Green Waves, Machine Learning, And Predictive Analytics: Making Streets Better For People On Bikes, Stephen Fickas

TREC Datasets and Databases

The project builds on a prior app that was designed for Green Light Optimized Speed Advisory (GLOSA). This is more colloquially known as keeping a vehicle in the green wave: you are at a location and moving at a speed that will allow you to (theoretically) have a green light at each intersection you encounter along a corridor. Our long-term goal is to extend the FastTrack app described in the Background section to include actuated signals along a corridor. This project takes a first step by evaluating the effectiveness of machine-learning algorithms to predict the next phase of an actuated …

Data-Driven Mobility Strategies For Multimodal Transportation, Yao-Jan Wu, Xianfeng Terry Yang, Sirisha Kothuri, Abolfazl Karimpour, Qinzheng Wang, Jason Anderson

TREC Final Reports

Multimodal transportation systems (e.g., walking, cycling, automobile, public transit, etc.) are effective in increasing people’s travel flexibility, reducing congestion, and improving safety. Therefore, it is critical to understand what factors would affect people’s mode choices. With advanced technology, such as connected and automated vehicles, cities are now facing a transition from traditional urban planning to developing smart cities. To support multimodal transportation management, this study will serve as a bridge to connect speed management strategies of conventional corridors to connected vehicle corridors. This study consists of three main components. In the first component, the impact of speed management strategies along …

Green Waves, Machine Learning, And Predictive Analytics: Making Streets Better For People On Bikes, Stephen Fickas

TREC Final Reports

This project focuses on giving bicyclists a safer and more efficient path through a city’s signalized intersections. It builds on a prior NITC project that tested an app for a fixed-time corridor. The goal of this project is to lay the groundwork for extending this earlier app to include actuated signals. Two machine-learning algorithms are introduced that have a good track record with time-series forecasting: LSTM and 1D CNN. The algorithms are tested on data captured from a busy bike corridor on the south end of the University of Oregon campus. A specific actuated intersection is identified on this corridor …

Using Deep Learning Algorithms To Give Bicyclists The “Green Wave” At Traffic Signals, Stephen Fickas

TREC Project Briefs

Led by Dr. Stephen Fickas of the University of Oregon (UO), transportation researchers are working to give bicyclists smoother rides by allowing them to communicate with traffic signals via a mobile app.

Applying An Equity Lens To Automated Payment Solutions For Public Transportation, Aaron Golub, John Macarthur, Anne Brown, Candace Brakewood

TREC Final Reports

Many transit agencies plan to automate their fare collection and limit the use of cash for payment, with the goals of improving boarding and data collection while lowering operating costs. Still, about 10% of adults in the United States lack a bank account or credit card, and many either rely on restrictive cell-phone data plans or don’t have access to internet or a smartphone, making it very challenging for these riders to ride. In light of these potential challenges, this project was developed by a group of transit agencies and consultants interested in the barriers faced by riders, and what …

Rockwood Identity Project, Phil Longenecker, Ana Navia, Natalie Chavez, Francisco Ibarra, Max Nonnamaker, Eric Trinh

Master of Urban and Regional Planning Workshop Projects

The Rockwood Identity Atlas is a data collection initiative that aims provide the Rockwood Community Development Corporation (CDC) with information about the community it serves. Through maps, data, and stories that highlight the identity, geography, and living conditions of the Rockwood community, this atlas aims to support Rockwood CDC and partner organizations better understand the challenges and opportunities facing the neighborhood. Although the atlas is an attempt to synthesize a more unified narrative about the identity of Rockwood, the report can be viewed in three distinct sections. We explored the three sections in three phases during March-May 2021:

• Phase I: …

The Impact Of Ride Hail Services On The Accessibility Of Nonprofit Services, Dyana P. Mason, Miranda Menard

TREC Final Reports

Nonprofit organizations are responsible for providing a significant level of human services across the United States, often in collaboration with government agencies. In this work, they address some of the most pressing social issues in society – including homelessness, poverty, health care and education. While many of these organizations consider location and accessibility crucial to supporting their clients – often locating services near bus or train stops, for example – little is known about the impact of new technologies, including ride hail services like Lyft and Uber, on nonprofit accessibility. These technologies, which are re-shaping transportation in both urban and …

Bi-Objective Optimization For Battery Electric Bus Deployment Considering Cost And Environmental Equity, Xiaoyue Cathy Liu, Yirong Zhou, Ran Wei, Aaron Golub, Devin Macarthur

TREC Final Reports

Public transit, compared with passenger cars, can effectively help conserve energy, reduce air pollution, and optimize flow on roadways. In recent years, Battery Electric Bus (BEB) is receiving an increasing amount of attention from the transit vehicle industry and transit agencies due to recent advances in battery technologies and the direct environmental benefits it can offer (e.g., zero emissions, less noise). However, limited efforts have been attempted on the effective deployment planning of the BEB system due to the unique spatiotemporal features associated with the system itself (e.g., driving range, bus scheduling). In this project, we developed an innovative spatiotemporal …

Rethinking Streets For Physical Distancing, Marc Schlossberg, Rebecca Lewis, Aliza Whalen, Clare Haley, Danielle Lewis, Natalie Kataoka, John Larson-Friend

TREC Final Reports

This report summarizes the primary output of this project, a book of COVID-era street reconfiguration case studies called Rethinking Streets During COVID-19: An Evidence-Based Guide to 25 Quick Redesigns for Physical Distancing, Public Use, and Spatial Equity. COVID-era needs have accelerated the process that many communities use to make street transformations due to: a need to remain physically distanced from others outside our immediate household; a need for more outdoor space close to home in every part of every community to access and enjoy; a need for more space to provide efficient mobility for essential workers in particular; and a …

Transit Impacts On Jobs, People And Real Estate, Arthur C. Nelson, Robert Hibberd, Kristina Marie Currans, Nicole Iroz-Elardo

TREC Final Reports

This is the first volume of a five-volume set of publications comprising the report titled “Transit Impacts on Jobs, People and Real Estate.” It is the culmination of four research projects funded by the the National Institute of Transportation and Communities (NITC), a US DOT funded National University Transportation Center. This volume includes a preface that review key findings of the prior four research grants, an executive summary that reviews key findings of all five volumes of the current report, the context that reviews the context of the present research including details on more than 50 fixed route transit systems …

Data Files: Bi-Objective Optimization For Battery Electric Bus Deployment Considering Cost And Environmental Equity, Xiaoyue Cathy Liu, Yirong Zhou, Ran Wei, Aaron Golub

TREC Datasets and Databases

This data supports the research project Bi-objective Optimization for Battery Electric Bus Deployment Considering Cost and Environmental Equity and a final report published on NITC’s website.

Dataset collected through multiple sources and organized into different formats including CSV format, JSON format, shapefile and code repository.

Context: The research project develops a bi-objective model that aims to help transit agencies to optimally deploy BEB while considering both capital investment and environmental equity. The unique spatio-temporal characteristic of BEB system, charging limitations (on-route and in-depot charging), and operational constraints are also considered and incorporated into the model.

Applying Data-Driven Multimodal Speed Management Strategies For Safe, Efficient Transportation, Yao-Jan Wu, Xianfeng Yeng, Sirisha Kothuri

TREC Project Briefs

How can we use a variety of data-driven speed management strategies to make transportation safer and more efficient for all modes–whether you’re driving, walking or taking transit? The project was led by Yao Jan Wu, director of the Smart Transportation Lab at the University of Arizona. Co-investigators were Xianfeng Terry Yang of the University of Utah, who researches traffic operations and modeling along with connected automated vehicles, and Sirisha Kothuri of Portland State University, whose research has focused on improving signal timing to better serve pedestrians. “We want to improve mobility for all users, be it pedestrians, vehicle drivers or …

Difference In Travel Behavior Between Immigrants In The U.S. And U.S. Born Residents: The Immigrant Effect For Car-Sharing, Ride-Sharing, And Bike-Sharing Services, Sangwan Lee, Michael J. Smart, Aaron Golub

Urban Studies and Planning Faculty Publications and Presentations

Understanding immigrants’ travel behavior is important to transportation planners and policymakers working to implement better transportation planning and public policies to serve those needs. The recent changes to the transportation system, specifically, the recent emergence of shared mobility services, such as car‐sharing, ride‐ sharing, and bike‐sharing, may have resulted in changes in how immigrants travel. Thus, we explored two research questions: (1) whether immigrants in the U.S. are more likely to rely on the three newly emerging transportation modes than US‐born persons, and (2) whether the assimilation theory can be applied to the modes. To answer these questions, we used …