ITS Berkeley

The Role of Self and Adaptation in Learning and Development: Chasing Excellence

Rodriguez, Daniel
2024

This book introduces readers to Psychoadaptation—a general model of change that stresses the importance of experiencing disequilibrium in the development of a healthy Self—and applies it to a range of examples across the academic, sport, and health domains. Built upon his studies of human development and learning, Daniel Rodriguez offers an overview of a model of change with a specific focus on the development of Self and conceptions of Self. The author begins by focusing on academic topics such as conducting research, teaching, and being a student, before highlighting examples from sport...

Decline of Rail Transit Requires New Strategies

Rodriguez, D
Pike, S
McNally, M
Li, M
2024

During the pandemic, California’s four major rail systems— Bay Area Rapid Transit (BART), San Diego Metropolitan Transit System (MTS), Sacramento Regional Transit (SacRT), and Los Angeles County Metropolitan Transportation Authority (LA Metro)—experienced an average ridership decline of 72 percent between 2019 and 2021. BART had the greatest decrease (87 percent) and MTS the lowest (47 percent). However, ridership changes varied significantly across individual stations, with stations located in the central business district or at the end of lines having the highest ridership losses. Land...

Rail Transit Ridership Changes and COVID-19: Lessons from Station-Area Characteristics

Li, M
Rodriguez, DA
Pike, S
McNally, M
2024

The COVID-19 pandemic has had a significant impact on public transit ridership in the United States, especially for rail transit. Land use, development density, and the pedestrian environment are strongly associated with station-level transit ridership. This study examines how these characteristics affect transit ridership pre- and post-COVID and how they differ across station types based on longitudinal data for 242 rail stations belonging to Bay Area Rapid Transit, San Diego Metropolitan Transit System, Sacramento Regional Transit, and LA Metro between 2019 and 2021. We found...

Comparing the Relative Efficacy of Generalized Estimating Equations, Latent Growth Curve Modeling, and Area Under the Curve with a Repeated Measures Discrete Ordinal Outcome …

Rodriguez, Daniel
Verma, R
Upchurch, J
2024
Researchers are often interested in how changes in one variable influence changes in a second variable, requiring the repeated measures of two variables. There are several multivariate statistical methods appropriate for this research design, including generalized estimating equations (GEE) and latent growth curve modeling (LGCM). Both methods allow for variables that are not continuous in measurement level and not normally distributed. More recently, researchers have begun to employ area under the curve (AUC) as a potential alternative when the nature of change is less important than the...

Urban Environments, Health, and Environmental Sustainability: Findings From the SALURBAL Study

Roux, AV Diez
Alazraqui, M
Alfaro, T
Barrientos-Gutierrez, T
Caiaffa, WT
Rodriguez, Daniel
2024

Despite the relevance of cities and city policies for health, there has been limited examination of large numbers of cities aimed at characterizing urban health determinants and identifying effective policies. The relatively few comparative studies that exist include few cities in lower and middle income countries. The Salud Urbana en America Latina study (SALURBAL) was launched in 2017 to address this gap. The study has four aims: (1) to investigate social and physical environment factors associated with health differences across and within cities; (2) to document the...

Research Translation to Promote Urban Health in Latin America: The SALURBAL Experience

Slesinski, SC
Indvik, K
Bolinaga, A
Caiaffa, WT
Rodriguez, D
2024

In highly urbanized and unequal Latin America, urban health and health equity research are essential to effective policymaking. To ensure the application of relevant and context-specific evidence to efforts to reduce urban health inequities, urban health research in Latin America must incorporate strategic research translation efforts. Beginning in 2017, the Urban Health in Latin America (SALURBAL) project implemented policy-relevant research and engaged policymakers and the public to support the translation of research findings. Over 6 years, more than 200 researchers across eight...

Planning and Accommodating the Micromobility Revolution and Its Impact on Public Health

Quistberg, Alex
Rodriguez, Daniel
2024

Micromobility has grown immensely over the past decade, encompassing both public shared systems and private ownership, and, as Burford et al. have found, a surge in user injuries and deaths has accompanied the growth. Micromobility refers to the use of small vehicles, such as bicycles and scooters, that are either human powered or electric. These vehicles are ideal for short trips—although electric-powered micromobility has expanded the potential distance range.

Automated Assessment of Safety-Critical Dynamics in Multi-modal Transportation Systems

Grembek, Offer
Ragland, David
2016

With the advent of emerging technologies, urban intersections are being increasingly equipped with various types of video-based and in-pavement sensing systems to facilitate round-the-clock monitoring and optimization of multi-modal flows. In comparison, the assessment of the safety performance of these facilities continues to be largely based on either crash history or citizen grievances. Herein lies an opportunity to apply advanced sensing platforms to proactively monitor safety-critical events of multi-modal road users. This work presents a traffic safety monitoring framework which...

A Cooperative V2V Alert System to Mitigate Vehicular Traffic Shock Waves

Vince Rabsatt, Reuben
Gerla, Mario
2018

We address the problem of shockwave formation in uncoordinated highway traffic. The problem is caused by the combination of heavy traffic and small traffic perturbations or unexpected drivers actions. We propose a novel distributed communication protocol that helps mitigate upstream shockwave formation even with extremely low system penetration rates. Based on traffic information ahead, the Cooperative Advanced Driver Assistance System (CADAS) recommends non-intuitive velocity reductions in order to redistribute traffic more uniformly and eliminate traffic peaks. Simulation results show...

Not So Fast: A Study of Traffic Delays, Access, and Economic Activity in the San Francisco Bay Area

Taylor, Brian
Osman, Taner
Thomas, Trevor
Mondschein, Andrew
2016

The San Francisco Bay Area regularly experiences some of the most severe traffic congestion in the U.S. This past year both Inrix and the Texas Transportation Institute (TTI) ranked the Bay Area third only to Washington D.C. and Los Angeles in the time drivers spend stuck in traffic. The TTI estimated that traffic congestion cost the Bay Area economy a staggering $3.1 billion in 2014 (Lomax et al., 2015). Such estimates are based on the premise that moving more slowly than free-flow speeds wastes time and fuel, and that these time and fuel costs multiplied over millions of travelers in...