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When the COVID-19 pandemic first swept across North America and led to emergency shutdowns during the Spring of 2020, the way people acquired food and household necessities was dramatically impacted. As stay-at-home orders minimized personal travel, transit services were reduced and many stores and restaurants either closed or modified their operations. Some of the gaps were able to be filled by online retailers and delivery services. However, access to goods and services varied substantially depending on people’s age, income level, and physical ability. A new multi-university study funded by the National Institute for Transportation and Communities (NITC), the U.S. DOT- funded university transportation headquartered at Portland State University, and the National Science Foundation (NSF) captured how households responded as local, state, and federal governments imposed and lifted restrictions, brick-and-mortar establishments closed and reopened, and e-commerce and delivery services adjusted to the changing conditions.
The Knight Autonomous Vehicle (AV) Initiative is a multi-year collaborative effort between the Urbanism Next Center at the University of Oregon, Cityfi, the cities of Detroit, Pittsburgh, and San José, and Miami-Dade County (the “cohort”) to pilot and learn about automated mobility technologies today to shape the future of deployment tomorrow. This cohort partnered with Kiwibot to learn more about a new technology—sidewalk delivery robots. Through this partnership, Kiwibot tested different use cases and collaborated on community engagement opportunities in each locale. Given the proliferation of bills being passed by state legislatures legalizing deployment of personal delivery devices (PDDs) or sidewalk robots, and the increased delivery demand due to the pandemic, the pilots were well timed to able to meaningfully inform the cohort cities about the potential benefits and challenges of sidewalk delivery robots.
This policy brief summarizes some of the key findings from a comprehensive literature review (submitted for publication) on the impact of shared mobility services and GHG emissions.
Transportation network companies (TNCs) such as Uber and Lyft have grown tremendously over the last decade, particularly in the San Francisco Bay Area. Nonetheless, relatively little publicly available data exist about the users of these services, their travel behaviors, volume of use, the times and locations of TNC trips, and how TNC services are affecting transportation system performance overall. This paper describes the methods and descriptive results of the first large-scale smartphone-based TNC user survey conducted in the California Bay Area in the fall 2018 and spring of 2019.
This study analyzes the relation between shared mobility services and greenhouse gases (GHGs) emissions by using a nationally representative sample of US young adults. We conduct a comprehensive analysis based on the data collected in the 2017 National Household Travel Survey (NHTS).
Shared micro-mobility services are rapidly expanding yet little is known about travel behaviour. Understanding mode choice, in particular, is quintessential for incorporating micro-mobility into transport simulations in order to enable effective transport planning. We contribute by collecting a large dataset with matching GPS tracks, booking data and survey data for more than 500 travellers, and by estimating a first choice model between eight transport modes, including shared e-scooters, shared e-bikes, personal e-scooters and personal e-bikes.
Technology-enhanced bikeshare features a dockless system with GPS-tracked electric bikes and a mobile app. As an additional transportation mode, it offers users greater accessibility and more flexibility compared to traditional bikeshare. This paper examines the causal impact of a tech-enhanced bikeshare program on public transit ridership, using evidence from a mid-sized metropolitan area in the Midwest of the United States.
Urbanism Next Center Director and Professor Nico Larco testified during the congressional hearing, "The Road Ahead for Automated Vehicles." Professor Larco highlighted the work of Urbanism Next and the potential cascading impacts of autonomous vehicles.
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