Abstract: Recent years have witnessed a rise in dockless shared electric scooters (e-scooters) in American cities, offering a solution for short-distance car trips. However, research on e-scooter usage patterns and their urban connection is lacking. This study addressed this gap by analyzing e-scooter ridership in Austin and Minneapolis. Results revealed… read more
Longitudinal Social Impacts of HRI over Long-Term Deployments
Abstract: The Longitudinal Social Impacts of HRI over Long-Term Deployments Workshop aims to unite researchers focusing on comprehensively understanding such deployments. This includes those studying longitudinal human-robot interaction, long-term autonomy, and real-world deployments. The workshop aims to advance the study of how deployed robot systems influence both individuals interacting with… read more
Socio-economic Factors and Telework Status in the US during the COVID-19 Pandemic
Abstract: This study explores the impact of COVID-19 preventive measures, like telework, on individuals in the United States. Using mixed logit models, it analyzes the relationship between socio-economic factors and telework status. Results suggest a significant association between telework and various variables, including age, gender, education, marital status, financial strain,… read more
Measuring accessibility to grocery stores using radiation model and survival analysis
Abstract: This study addresses challenges in measuring spatial accessibility to grocery stores accurately. By enhancing an existing radiation model with different transportation modes and time use diaries, we aim to provide a more realistic estimation of accessibility. We introduce a novel approach using survival analysis, specifically the Cox proportional hazard… read more
Prediction of “L” Train’s Daily Ridership in Downtown Chicago During the COVID-19 Pandemic
Abstract: In this study, we utilized a random forest model to predict the “L” train’s daily ridership in the Chicago downtown area during the pandemic based on environmental, transportation, and COVID-19-related factors. The results indicated that the model accurately predicts ridership one month in advance. However, its accuracy degraded over… read more
Disparities in the Impacts of the COVID-19 Pandemic on Public Transit Ridership in Austin, Texas, U.S.A.
Abstract: This study examines how the COVID-19 pandemic affected public transit ridership in Austin, TX, utilizing data from the Capital Metropolitan Transportation Authority and the American Community Survey. Through multivariate clustering and geographically weighted regression, it identifies demographic and spatial factors influencing ridership declines. Results indicate that areas with older… read more
Modeling factors contributing to dockless escooter injury accidents in Austin, Texas
Abstract: This study aims to identify factors influencing e-scooter injury accidents in Austin due to concerns about rising ridership and insufficient accident data. Using 2018 dockless e-scooter injury data, we employed zero-inflated Poisson (ZIP) and zero-inflated negative binomial (ZINB) models. Results indicate the ZIP model better fits the data. Significant… read more
Who loses and who wins in the ride-hailing era? A case study of Austin, Texas
Abstract: This study investigates the impact of ride-hailing on transportation access, particularly in low-density areas. Using data from Austin, Texas, we analyze ride-hailing usage, transit availability, and vehicle ownership across neighborhoods with varying demographics. Our findings reveal that ride-hailing has become an alternative mode of transport for residents in low-income,… read more
Understanding the Relationships Among E-scooter Ridership, Transit Desert Index, and Health-Related Factors
Abstract: This study examines electric scooter (e-scooter) markets in U.S. transit deserts and oases, focusing on Austin, Chicago, Portland, and Minneapolis. Through t-tests, we compared e-scooter ride frequencies in these areas. Results show no significant difference in ride numbers between transit deserts and oases in Austin, Chicago, and Portland. Transit… read more
Look to my Lead: How Does a Leash Affect Perceptions of a Quadruped Robot?
Abstract: In this study, we explore graceful robot navigation in shared spaces, focusing on human-robot dyads resembling a dog and its handler. We examine five conditions: “Fully-Autonomous,” “Remote-Controlled,” “Companion,” “Leading,” and “Guided.” Participants observe these interactions and provide feedback via questionnaires. While initial questionnaire results show few significant differences, comparing… read more
