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This paper aims to examine the associations between ride-hailing and their spatial distribution in relation to key socioeconomic and built environment characteristics both at the trip origin and destination. To do so the study uses official data provided by Transportation Network Companies operating in the city of Chicago, with 32 million trips logged between November 1st, 2018 to June 28th, 2019. Among the built environment attributes we focus on the relationship between walkability levels and demand for ridehailing. Study findings indicate an association between ride-hailing and income levels, car-availability and raceethnicity.
This report analyzes EV use in TNC fleets from 2016 through 2018. Data sets from TNCs and charging service providers are used to analyze charging and use patterns of EVs within TNC fleets. The emissions benefits of EV use withing TNC fleets is quanitfied, assessments of EVs to perform TNC services are made, and the effects of EV use within TNC fleets on charging behavior of non-TNC EVs is understood.
In this study, newly available Chicago transportation network provider data were explored to identify the extent to which different socioeconomic, spatiotemporal, and trip characteristics affect willingness to pool (WTP) in ridehailing trips. Multivariate linear regression and machine-learning models were employed to understand and predict WTP based on location, time, and trip factors. The results show intuitive trends, with income level at drop-off and pickup locations and airport trips as the most important predictors of WTP. Results from this study can help TNCs and cities devise strategies that increase pooled ride-hailing, thereby reducing adverse transportation and energy impacts from ride-hailing modes.
Ride-hailing is a climate problem for two primary reasons. First, a typical ride-hailing trip is more polluting than a trip in a personal car, mainly as a result of “deadheading”the miles a ride-hailing vehicle travels without a passenger between hired rides. The second reason is that ride-hailing is not just replacing personal car trips; instead, it is increasing the total number of car trips. In the absence of ride-hailing, many would-be ride-hailing passengers would take mass transit, walk, bike, or forgo the trip. This report focuses on ride-hailing, but many of its findings and recommendations apply to taxis as well. For example, electrification, increased pooling, and improved coordination with mass transit would lessen the negative impacts of taxi service on transportation systems and the environment.
In 2020, the microtransit company. “Via” partnered with Jersey City to provide on-demand car rides to underserved communities whose mass public transit routes had been canceled due to low ridership during the 2020 Covid-19 pandemic. The company aims to complement existing transit which operates comprehensively and frequently in the central areas of Jersey City. Via offers rides outside of this well-served district but not within to minimize competition with public transit. The same company launched in Arlington, Texas in 2017. Arlington, which was the largest city in America without a public transit system, opted to contract Via to provide an alternative transportation mode to driving in a personal vehicle. The on-demand service offers point-to-point rides within Arlington and connections to intercity train stations to Dallas-Fort Worth.
Many cities are rolling out bike share programs. However, few studies have evaluated how bike share systems (BSS) are used to quantify their sustainability impacts. This study proposes a Bike Share Emission Reduction Estimation Model (BS-EREM) to quantify the environmental benefits from bike share trips and compare the greenhouse gas (GHG) emission reductions from BSS in eight cities in the United States, including New York, Chicago, Boston, Philadelphia, Washington D.C., Los Angeles, San Francisco, and Seattle. The BS-EREM model stochastically estimates the transportation modes substituted by bike share trips, considering factors such as trip distance, trip purpose, trip start time, the accessibility of public transits, and historical distributions of transportation mode choices.
Moving toward sustainable mobility, the sharing economy business model emerges as a prominent practice that can contribute to the transition to sustainability. Using a system dynamics modeling approach, this paper investigates the impacts of an e-carsharing scheme in carbon emissions and in electric vehicle adoption. They study the VAMO scheme located in Fortaleza, Brazil, as the first e-carsharing scheme in the country. They study two policies combined: a VAMO planned growth policy and a retirement policy for conventional vehicles.
Automobile-dependent planning has changed automobiles from a luxury into a necessity. Excessive vehicle costs leave many households without money to purchase essential food, shelter and healthcare. They need more affordable transportation options.
Bike share systems are expanding efforts to be more equitable and accessible to everyone by offering adaptive bicycle options to people who might otherwise be unable to ride. These systems tend to range from the inclusion of electric bikes and standard trikes into the existing systems to offer a more full range of adaptive bicycle options for use at rental locations. Surveys of residents living in several low-income communities of color (n = 1,885) are used to explore the potential need for adaptive bike share options in urban locations. A national survey of cities and bike share operators (n = 70) is used to document the prevalence and basic models of adaptive bike share programming currently in place. Interviews conducted with bike share representatives in select cities with adaptive bike share programs provide context and details on how specific programs operate. Finally, interviews with adaptive bike share participants (n = 5) in Portland, Oregon, help to illuminate users’ experiences, including the perceived value and potential improvements for adaptive bike share.
The 2020 report quantifies the impact of the COVID-19 pandemic on shared micromobility and demonstrates the industry’s response and resilience during this time to provide essential mobility services. The report also compares trends from 2019 and presents new research that shows the impact of the industry in North America.
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 trip-making; 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.
In this report, the Portland Bureau of Transportation (PBOT) evaluates the second e-scooter pilot project conducted in Portland, Oregon. PBOT used data and feedback from the community to evaluate the e-scooter pilot project, specifically evaluating "the potential for e-scooters to advance equity, ease traffic congestion and reduce climate-harming emissions."
COVID Mobility Works is an independent platform dedicated to collecting, synthesizing and sharing mobility initiatives that are keeping the world moving during the COVID-19 pandemic. The goal of this platform is to help policymakers, innovators, researchers and advocates rise to the challenge of creating more resilient, inclusive, and sustainable transportation systems for all.
From June to October 2019, researchers at Urbanism Next identified 249 new mobility and AV delivery pilot projects, completed and in-progress, in the United States and Canada. Relevant information about all 249 pilot projects, including sponsoring organizations, key dates, and geographic area, are recorded in this file. This data set provided the foundation of the report Perfecting Policy with Pilots. Ultimately, Urbanism Next used information from 220 of the pilots in the report. The new mobility modes included in this data set include shared micromobility devices such as e-scooters and bikes, transportation network company partnerships, microtransit, autonomous passenger vehicle pilots, autonomous delivery pilots, and non-autonomous goods delivery pilots. The information collected by Urbanism Next researchers is limited to publicly available information collected from online resources, such as reports, government websites, public and private press releases, and news articles as well as a limited number of follow-up phone calls requesting information.
Before the pandemic, Urbanism Next developed a framework organizing the disruptions to cities caused by emerging transportation technologies on land use, urban design, building design, transportation, and real estate. COVID-19 has disrupted the trajectory of these emerging technologies and will, in turn, change some our original assumptions. This paper revisits the original Urbanism Next framework, taking into account the cascading impacts of the pandemic. This report is one of two reports completed by Urbanism Next on the impacts of Covid-19.
How is the COVID-19 pandemic changing urban living? In this paper, we explore the landscape of COVID-19 disruptions to date on land use and real estate, urban design, building design, transportation, e-commerce and retail, and goods delivery. We also highlight the longer-term questions and potential ongoing impacts COVID-19 might have on the built environment.
The Urbanism Next Center at the University of Oregon, in partnership with Alta Planning + Design, Spirit for Change, and Metro hosted the Future of Public Spaces and Placemaking workshop on January 24th, 2020. This one-day workshop, supported by the Knight Foundation, brought together a wide range of community activists, government officials, policymakers, urbanists, planners, designers, technology representatives, and other professionals to share ideas and concerns, and to discuss emerging technologies such as new mobility, Mobility as a Service (MaaS), autonomous vehicles (AVs), and e-commerce, and their impacts on urban space and placemaking. The workshop concluded with a site-specific charrette aimed at investigating how communities can best prepare for these changes and adapt their public spaces to create places that are resilient, dynamic, equitable, and sustainable.
The purpose of this study is to go beyond cataloging pilot projects to determine the lessons learned, emerging trends and considerations, and examples of promising practices from pilot projects in the United States and Canada. Researchers assessed 220 pilot projects and 11 case studies. Based on that assessment, they recommend 10 actions for pilot projects generally. The study resulted in 31 lessons learned organized by pilot goals, evaluation, implementation, outcomes, and policy and infrastructure implications.
IMARC Group analyzes the growing trend of online food ordering and delivery. Their report provides a macro overview of the market to micro details of the industry performance, recent trends, and key market drivers and challenges.
Parking drives up the cost of development and puts the burden on tenants who purchase or rent housing in these developments. Most zoning codes and practices require generous parking supply, and tenants are forced to pay for parking regardless of if they are using it. This reduces housing affordability which has a disproportionate effect on lower-income households.
Zipline, the drone-delivery startup that sends medical supplies to hospitals in Rwanda, has expanded into Ghana and has plans to continue into India and North Carolina.
A new law in California makes it harder for companies to classify workers as contractors. Companies like Uber, Lyft, and Postmates are pushing back, refusing to comply and filing lawsuits. Workers have mixed opinions on whether they agree with the new law. Some appreciate the flexibility of working as a contractor, while others want better wages and the ability to bargain collectively.
This is the sponsorship brochure for the 2020 Urbanism Next European Conference.
This is a fact sheet suitable for use as a printed handout on Urbanism Next's topline research findings regarding TNCs.
The purpose of this report is to analyze potential impacts and offer recommendations for the cities of Gresham and Eugene, OR, to understand the potential impacts of new mobility technologies – with an emphasis on autonomous vehicles (AVs) – and prepare a policy and programmatic response. While Gresham and Eugene are case studies, it provides mid-sized communities information on how new mobility services could impact their communities and what they can do about it, from broad strategies to specific policy responses. While this work focuses on the various new mobility and goods delivery services that currently exist, the framework that is discussed here is also applicable to emerging technologies that haven’t yet been introduced, such as autonomous vehicles (AVs).
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. This report describes the first order impacts, or the broad ways that the form and function of cities are already being impacted by forces of change including—but not limited to—AVs and related technologies.
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