Urbanism Next Reports

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Browsing Urbanism Next Reports by Subject "autonomous vehicles"

Now showing 1 - 6 of 6
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    How Are Uber/Lyft Shaping Municipal On-Street Parking Revenue?
    (Social Science Research Network, 2020-11-02) Clark, Benjamin Y.; Brown, Anne
    Autonomous Vehicles (AVs) will impose challenges on cities that are currently difficult to fully envision yet critical to begin addressing. This research makes an incremental step toward quantifying the impacts that AVs by examining current associations between transportation network company (TNC) trips—often viewed as a harbinger of AVs—and parking revenue in Seattle. Using Uber and Lyft trip data combined with parking revenue and built environment data, this research models projected parking revenue in Seattle. Results demonstrate that total revenue generated in each census tract will continue to increase at current rates of TNC tripmaking; parking revenue will, however, start to decline if or when trips levels are about 4.7 times higher than the average 2016 level. The results also indicate that per-space parking revenue is likely to increase by about 2.2 percent for each 1,000 additional TNC trips taken if no policy changes are taken. The effects on revenue will vary quite widely by neighborhood, suggesting that a one-size-fits-all policy may not be the best path forward for cities. Instead, flexible and adaptable policies that can more quickly respond (or better yet, be proactive) to changing AV demand will be better suited at managing the changes that will affect parking revenue.
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    How Will Autonomous Vehicles Change Local Government Budgeting and Finance? Case Studies of On-Street Parking, Curb Management, and Solid Waste Collection
    (Portland State University, 2019-05) Clark, Benjamin Y.; Transportation Research and Education Center, Portland State University
    The challenges that Autonomous Vehicles (AVs) will impose upon cities are both currently difficult to fully envision and critical to begin to address. This report makes an incremental step toward quantifying the impacts that AVs will have and provides insight on how cities may be able to adjust policies to avoid mistakes made in with changes to the transportation modalities in earlier eras. This report is an examination of parking, curb zones, and government service changes in the context of AVs. Given that there are very few actual AVs on the road, the analysis in this report is an attempt to project what we might see, using the current phenomenon as starting points. The report uses a mix of econometric modeling, cost accounting, and case studies to illustrate these projections.
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    Multilevel Impacts of Emerging Technologies on City Form and Development
    (Urbanism Next, 2020-01) Howell, Amanda; Tan, Huijun; Brown, Anne; Schlossberg, Marc; Karlin-Resnick, Josh; Lewis, Rebecca; Anderson, Marco; Larco, Nico; Tierney, Gerry; Carlton, Ian; Kim, James; Steckler, Becky
    Autonomous vehicles (AVs) are a near future reality and the implications of AVs on city development and urban form, while potentially widespread and dramatic, are not well understood. In addition, there are other fundamentally disruptive technological forces undergoing simultaneous rapid development and deployment, including the introduction of new mobility technologies and the associated paradigm shift to thinking of mobility as a service, as well as the continued growth of e-commerce and the related rise in goods delivery. The purpose of this report is to examine how these forces of change are impacting, or will likely impact transportation, land use, urban design, and real estate, and what the implications may be for equity, health, the economy,the environment, and governance. Our aim was to identify key research areas that will assist in evidence-based decision making for planners, urban designers, and developers to address this critical paradigm shift. We identified key research questions in land use, urban design, transportation, and real estate that will rely on the expertise of these disciplines and lay the foundation for a research agenda examining how AVsand new mobility may impact the built environment. This report describes the first order impacts, or the broad ways that the form and function of cities are already being impacted by the forces of change identified above.
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    Piloting sidewalk Delivery Robots in Pittsburgh, Miami-Dade County, Detroit, and San Jose
    (University of Oregon, 2022-08) Howell, Amanda; Steckler, Becky; Larco, Nico; Knight Autonomous Vehicle Initiative
    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.
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    Policy Brief: Shared Mobility, Autonomous Vehicles, and GHG Emissions
    (University of Oregon, 2022-08) Steckler, Becky; Hess, Rachel; Larco, Nico
    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.
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    Potential Impacts of Autonomous Vehicle Deployment on Parking and Development
    (University of Oregon, 2023-02) Larco, Nico; Howell, Amanda; Leavitt, Mason; Carlton, Ian; Kim, James
    An often-claimed benefit of autonomous vehicle (AV) deployment has been its reduction on parking demand and the potential impact this could have on development. If demand for parking is drastically reduced by the deployment of AVs, the logic is that developers would need to build far less parking than is required today by code and/or is deemed necessary to serve users, freeing up land for development and making projects financially viable. Using San Francisco as a case study, researchers at the Urbanism Next Center and ECONorthwest explored this idea in depth, modeling the potential impacts that AVs could have on development. To inform our analysis, we first conducted a literature review of modeled/predicted reductions of parking demand based on the deployment of AVs. Efforts to estimate the potential impact of AVs on parking demand have produced varied results ranging from as much as a 90% decrease in demand in some scenarios to an overall increase in demand in others. The inconsistency in results underscores the complexity of the topic and the difficulties that are associated with trying to model future demand. Model results are dependent on the parameters and assumptions made about factors such as fleet mix (e.g., shared vs. individually owned AVs), market penetration/adoption rate, the percentage of rides that are pooled, and more.