TRANSPORTATION TECHNOLOGY & SOCIETY
FUNDING SOURCE: UCONN PROVOST’S ACADEMIC PLAN AWARD
Transportation technologies allowing for self-driving vehicles are emerging rapidly, sparking considerable speculation about how they may revolutionize society. Academic inquiry on this topic is thus far limited, focusing primarily on the science and engineering of enabling technologies such as vehicle sensors. A community of scholars from various academic disciplines who understands the intricacies of the complex systems associated with Transportation Technology & Society (TTS) is urgently needed to examine this potentially disruptive dynamic. The overarching goal of this project is to create an interdisciplinary community of scholars who can collaborate on research and teaching in TTS and understand how to harness the Big Data associated with this emerging technology.
PIs: Norman Garrick and Carol Atkinson-Palombo
WHAT DO WE WANT FROM AUTONOMOUS VEHICLES?
FUNDING SOURCE: CAMMSE
This research will use the Transportation Indicator for Sustainable Places (TISP) previously developed by our research group as a framework for evaluating the potential outcomes of three different scenarios under which autonomous vehicles (AVs) could be deployed. The output of this initial deliverable will form the basis for thinking through the wide array of impacts that AVs may have on society, the economy, and the environment. The goal is to avoid repeating mistakes of the past in which people’s needs were subjugated by special interest groups who have a vested interest in championing the benefits of superior technology. Instead of passively responding to technological changes, society—and public agencies such as DOTs that serve society—will be better positioned to shape the outcomes of this ‘socio‐technological’ transition.
PIs: Norman Garrick and Carol Atkinson-Palombo
NUDGES TOWARD BETTER DRIVING
FUNDING SOURCE: TRAVELERS
In the context of a broader long-term goal of testing the effectiveness of combining an existing driving app with an additional social influence “nudge” (Phase II), the purpose of this project (Phase I) is to produce a review of the relevant research literatures. The primary deliverable is a “white paper” reviewing the existing research literatures that use social influence, persuasion, motivational and behavioral economic (e.g., “nudge”) approaches to increase driver compliance.
PI: Kerry Marsh
PERCEPTIONS ABOUT AUTONOMOUS VEHICLES BASED ON WAYMO’S TESTING IN ARIZONA
FUNDING SOURCE: UCONN’S SCHOLARSHIP FACILITATION FUND
This study focuses on Waymo, a subsidiary of Google, which has been testing self-driving vehicles in Chandler, Arizona, since April 2017. During this testing period, which was limited to selected customers, services have been gradually expanded. Most recently, Waymo announced that it will begin a robotaxi service in Chandler and the neighboring municipalities of Tempe, Gilbert, and Mesa. Not everyone welcomes the new technology. A recent NY Times article reported that people were trying to run AVs off the road, while others had attacked them with rocks and knives. The research will contribute to an ongoing effort to better understand the broader impacts of transportation technologies on society.
PI: Carol Atkinson-Palombo
EQUITY, EXTERNALITIES & PUBLIC POLICY: UNDERSTANDING THE SURPRISING AND OVERSIZED USE OF RIDESOURCING SERVICES IN POORER NEIGHBORHOODS IN NYC
FUNDING SOURCE: CAMMSE
This project uses surveys, interviews, and spatial analysis of geocoded Twitter feeds about various companies providing ridesourcing to glean insights about trips in New York City’s Outer Boroughs, which have undergone explosive growth. We are especially interested in learning what has caused this rapid growth in trips originating in the outer boroughs, who is taking the trips, where they are going, and whether or not this represents additional travel or whether it is replacing trips already undertaken via different means. Our findings will provide insights about the implications of these ridesourcing trips for equity considerations, as well as externalities caused by any increased Vehicle Miles Travelled (VMT) that will be of interest to policy-makers. The mixed method spatiotemporal tools developed in this study will be applicable to a wide range of settings and illustrate the importance of contextual factors in evaluating the impacts of technologies that are disrupting the traditional landscape of transportation research and policy.
PIs: Carol Atkinson-Palombo and Norman Garrick
WHAT DO PEOPLE WANT FROM AUTONOMOUS VEHICLES AND HOW DO DECISION-MAKERS TREAT THAT INFORMATION? A PILOT STUDY OF CONNECTICUT
FUNDING SOURCE: KETTERING FOUNDATION
In this pilot study, a team of interdisciplinary researchers will collect data on people’s “hopes and fears” about Autonomous Vehicles (AVs) in two public forums. This feedback will be compiled in the form of a report which will be shared with legislators and members of a Task Force in charge of creating policy recommendations pertaining to Autonomous Vehicles (AVs) being allowed to operate on Connecticut roads. Decision-makers will then be interviewed by the research team to understand how citizen input is considered in the process of determining policies with respect to AVs.
PI: Rebecca Townsend, University of Hartford; Co-PIs: Carol Atkinson-Palombo and Norman Garrick