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Transportation network companies
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.
Today's urban transportation systems face increasing challenges such as greenhouse gas (GHG) emissions, urban air quality, and traffic congestion. In this context, various initiatives of mutualized mobility have emerged. However, notably lacking is assessing the environmental impacts of mutualized transportation modes from a life cycle perspective. Using the actual urban transportation big data and related product life cycle data, this study combined with the life cycle assessment methodology and a “bottom-up” approach, explores the effect of mutualized mobility on greenhouse gas emissions of urban transportation systems for both Beijing and Toronto. The results showed that mutualized mobility might positively affect the sustainability of urban transport systems, albeit in very different ways.
How Uber affects public transit ridership is a relevant policy question facing cities worldwide. Theoretically, Uber’s effect on transit is ambiguous: while Uber is an alternative mode of travel, it can also increase the reach and flexibility of public transit’s fixed-route, fixed-schedule service. We estimate the effect of Uber on public transit ridership using a difference-in-differences design that exploits variation across U.S. metropolitan areas in both the intensity of Uber penetration and the timing of Uber entry. We find that Uber is a complement for the average transit agency, increasing ridership by five percent after two years. This average effect masks considerable heterogeneity, with Uber increasing ridership more in larger cities and for smaller transit agencies.
On May 7, 2016, residents of Austin, Texas, voted against Proposition 1, which would have allowed ridesourcing/transportation networking companies (TNCs) to continue using their own background check systems. The defeat of the proposition prompted Uber and Lyft to suspend services in Austin indefinitely. The disruption provided for a natural experiment to evaluate the impact of Uber and Lyft on users’ travel demand and the supply side implications of the entry of new players. Our paper focuses solely on the demand side user response to the disruption. In examining the impact, we conducted an online survey that combines stated and revealed preference questions (N=1,840) of former Uber and/or Lyft users in Austin to explore the effect of the disruption on travel behavior. In order to test our hypothesis of the impact of the service suspension on changes in travel mode choice and trip frequency we used regression analyses to model both the before and after travel behavioral pattern.
Using data derived from 597 face-to-face interviews with ride-hailing users in Chengdu (China), we examined the influence of ride-hailing on travel frequency and mode choice and further analyzed what the main determinants for these are.
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.
The growth of app-based ridesharing, microtransit, and TNCs presents a unique opportunity to reduce congestion, energy use, and emissions through reduced personal vehicle ownership and increased vehicle occupancy, the latter of which is largely dependent on the decisions of individual travelers to pool or not to pool. This research provides key insights into the policy levers that could be employed to reduce vehicle miles traveled and emissions by incentivizing the use of pooled on-demand ride services and public transit. We employ a general population stated preference survey of four California metropolitan regions (Los Angeles, Sacramento, San Diego, and the San FranciscoBay Area) to examine the opportunities and challenges for drastically expanding the market for pooling, taking into account the nuances in emergent travel behavior and demand sensitivity across on-demand mobility options.
Even as ride-hailing has become ubiquitous in most urban areas, its impacts on individual travel are still unclear. This includes limited knowledge of demand characteristics (especially for pooled rides), travel modes being substituted, types of activities being accessed, as well as possible trip induction effects. The current study contributes to this knowledge gap by investigating ridehailing experience, frequency, and trip characteristics through two multi-dimensional models estimated using data from the Dallas-Fort Worth Metropolitan Area. Ride-hailing adoption and usage are modeled as functions of unobserved lifestyle stochastic latent constructs, observed transportation-related choices, and sociodemographic variables. The results point to low residential location density and people’s privacy concerns as the main deterrents to pooled ridehailing adoption, with non-Hispanic Whites being more privacy sensitive than individuals of other ethnicities.
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.
This paper identifies major aspects of ridesourcing services provided by Transportation Network Companies (TNCs) which influence vehicles miles traveled (VMT) and energy use. Using detailed data on approximately 1.5 million individual rides provided by RideAustin in Austin Texas, we quantify the additional miles TNC drivers travel: before beginning and after ending their shifts, to reach a passenger once a ride has been requested, and between consecutive rides (all of which is referred to as deadheading); and the relative fuel efficiency of the vehicles that RideAustin drivers use compared to the average vehicle registered in Austin.
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.
Ridesharing holds promise as a more efficient and sustainable version of emergent ride-hailing services. However, the adoption of pooled services in which individuals pay a reduced fare to share a portion of their ridehailing trip with other passengers has substantially lagged in popularity to the standard single-party services offered by Uber and Lyft in many American cities. To help guide policies and programs targeted at increasing pooling shares, this study analyzes data collected during fall 2017 from an in-vehicle intercept survey of 944 ride-hailing passengers in the Greater Boston region. These data, which describe the socioeconomic background, mobility options, and trip context of single-party and pooled ride-hailing survey respondents, were used to identify differences in the trip patterns and individual characteristics of passengers adopting the two service types and then estimate the individual-level social and trip-related predictors of ridesharing for different purposes.
The impacts of ride-hailing services on the transportation system have been immediate and major. Yet, public agencies are only beginning to understand their magnitude because the private ride-hailing industry has provided limited amounts of meaningful data. Consequently, public agencies responsible for managing congestion and providing transit services are unable to clearly determine who uses ride-hailing services and how their adoption influences established travel modes, or forecast the potential growth of this emergent mode in the future. To address these pressing questions, an intercept survey of ride-hailing passengers was conducted in the Greater Boston region in fall 2017. The responses, which enabled a robust description of ride-hailing passengers for the region, were used to analyze how new on-demand mobility services such as Uber and Lyft may be substituting travel by other modes.
On-demand ridesourcing services from transportation network companies (TNCs), such as Uber and Lyft, have reshaped urban travel and changed externality costs from vehicle emissions, congestion, crashes, and noise. To quantify these changes, we simulate replacing private vehicle travel with TNCs in six U.S. cities.
This report builds on an on-going research effort that investigates emerging mobility patterns and the adoption of new mobility services. In this report, the authors focus on the environmental impacts of various modality styles and the frequency of ridehailing use among a sample of millennials (i.e., born from 1981 to 1997) and members of the preceding Generation X (i.e., born from 1965 to 1980). The total sample for the analysis included in this report includes 1,785 individuals who participated in a survey administered in Fall 2015 in California. In this study, the researchers focus on the vehicle miles traveled, the energy consumption, and greenhouse gas (GHG) emissions for transportation purposes of various groups of travelers.
Transportation network companies (TNCs), such as Uber and Lyft, have been hypothesized to both complement and compete with public transit. Existing research on the topic is limited by a lack of detailed data on the timing and location of TNC trips. This study overcomes that limitation by using data scraped from the Application Programming Interfaces of two TNCs, combined with Automated Passenger Count data on transit use and other supporting data. Using a panel data model of the change in bus ridership in San Francisco between 2010 and 2015, and confirming the result with a separate time-series model, we find that TNCs are responsible for a net ridership decline of about 10%, offsetting net gains from other factors such as service increases and population growth. We do not find a statistically significant effect on light rail ridership. Cities and transit agencies should recognize the transit-competitive nature of TNCs as they plan, regulate and operate their transportation systems.
Ride-hailing such as Uber and Lyft are changing the ways people travel. Despite widespread claims that these services help reduce driving, there is little research on this topic. This research paper uses a quasi-natural experiment in the Denver, Colorado, region to analyze basic impacts of ride-hailing on transportation efficiency in terms of deadheading, vehicle occupancy, mode replacement, and vehicle miles traveled (VMT).
This report builds on an on-going research effort that investigates emerging mobility patterns and the adoption of new mobility services. In this report, the authors focus on the environmental impacts of various modality styles and the frequency of ridehailing use among a sample of millennials (i.e., born from 1981 to 1997) and members of the preceding Generation X (i.e., born from 1965 to 1980). The total sample for the analysis included in this report includes 1,785 individuals who participated in a survey administered in Fall 2015 in California. In this study, the researchers focus on the vehicle miles traveled, the energy consumption and greenhouse gas (GHG) emissions for transportation purposes of various groups of travelers.
The Handbook provides methods to quantify GHG emission reductions from a specified list of measures, primarily focused on project-level actions. The Handbook also includes a method to assess potential benefits of different climate vulnerability reduction measures, as well as measures that can be implemented to improve health and equity, again at the project level.
Whim is an app service that consolidates transportation services into a monthly subscription. The app includes access to taxis, public transportation, and rental cars. The app's goal is to reduce vehicle ownership by offering convenient access to multiple alternatives.
AARP Public Policy Institute, RAND Corporation and Urbanism Next collaborated to better understand the ways in which shared mobility and AVs will be impacting older adults. Through a review of literature, interviews with public and private sector players in this arena, and a roundtable with over 25 experts from around the country, the project team developed a framework that identifies a range of factors around new mobility and AVs that will be affecting older adults’ mobility, independence and safety. The framework is a guide for governments and private sector companies to help them think broadly about impacts, understand barriers, and can serve as an internal checklist to guide future policy, research and development.
Re-allocating space on streets to accommodate new uses – particularly for walking, biking, and being – is not new. COVID-era needs have accelerated the process that many communities use to make such street transitions, however. Many communities quickly understood that the street is actually a public place and a public good that serves broader public needs more urgent than the free flow or the storage of private vehicles. This book captures some of these quick changes to city streets in response to societal needs during COVID, with two open questions: 1) what changes will endure post-COVID?; and 2) will communities be more open to street reconfigurations, including quick and inexpensive trials, going forward?
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.
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.
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.
With the rapid growth of ride-hailing services, e-commerce and on-demand deliveries, demand for curb space has increased in urban areas.
This report examines how TNCs contributed to increased roadway congestion in San Francisco between 2010 and 2016 relative to other factors such as population and employment growth, and transportation system changes.
What are transportation options for people with disabilities in San Francisco and how have these options been impacted by TNCs?
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.
This paper examines the relationship between ride-hailing and parking demand by looking at ride-hailing trips that otherwise would have needed parking.
This report explores how smart mobility technologies can address the current and future needs of transportation disadvantaged communities. It looks at the barriers different communities experience regarding access to smart mobility technologies, and potential solutions to overcoming these barriers.
"Transit agencies are forming partnerships with TNCs in order to make their services more available to a wider audience, to leverage new technology, and to improve mobility choices for their customers."
Transportation network companies like Uber and Lyft came onto the market with the mission to reduce congestion in cities, however data from major cities around the U.S. shows that they may be having the opposite impact on congestion and public transportation.
Ride-hailing services like Uber and Lyft are changing the way that people move around cities, affecting transit use, active transportation and congestion. Due to the rapid rise in popularity and lack of available data, city and transportation planners have been limited in their ability to make long-term decisions about transportation infrastructure.
Uber is developing an aerial taxi and looking to partner with cities who will allow testing of its upcoming all-electric vehicles.
Uber is working on a plan to launch an urban air taxi service and has just joined with California-based aerospace company Joby Aviation.
This study examines the impacts of transportation network companies (TNCs) such as Uber and Lyft on trends in travel, parking, car-rental and the economy by analyzing the effects of ride-hailing at four major airports in the U.S.
This paper seeks to understand the potential causes of a decline in transit ridership by examining data from seven major U.S. cities – Boston, New York City, Washington D.C., Chicago, Denver, San Francisco and Los Angles.
A New York State judge dismissed a New York City rule that would limit transportation network companies' drivers could cruise without passengers. The rule was aimed at reducing congestion and approved by the New York City Taxi and Limousine Commission. Uber and Lyft filed separate lawsuits against the rule in September of 2019.
"A New York judge has struck down a proposal to limit the time Uber and Lyft drivers can cruise around Manhattan without carrying riders."
The town of Innisfil in Ontario, Canada has partnered with Uber in place of public transit. Low density development drove the town to choose subsidizing Uber over creating a public transit system due to the perceived cost of both. However, the amount Innisfil spent subsidizing Uber rides has already exceeded the amount they estimated it would cost to create a public transit system. Experts question the partnership, citing environmental and economic problems.
Statistica published the daily ridership of ride-hailing operators worldwide. The results are shown in a graph, visually comparing the ridership of Didi, Uber, Grab, and Lyft.
This article breaks down the varying types of ride sharing services in China and details their differing business models and levels of success.
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.
App-based companies will be required to treat workers as employees after a new California bill was approved by legislators. The bill provides increased protections for workers, but threatens the profits of gig economy companies who count on inexpensive independent labor.
Didi, a ride-hailing company in China, lost $1.6 billion in 2018 and is facing a multitude of challenges that will make reducing losses difficult in the upcoming years.
Lyft announces that 2019 should be its peak loss year. Partnership with Waymo self-driving vehicles may help drive down losses next year.
Large San Diego parking company Ace Parking has reported lower parking rates due to the increasing popularity of Uber and Lyft.
Lyft is turning their focus to profitability rather than growth. The company claims that operating profitability is within its sights for 2021. This change may be a reaction to growing skepticism of companies like Uber, Lyft and WeWork after previously high valuations by private investors.
Uber was banned from London in 2019 due to concerns about customer safety after it was discovered that the Uber app let drivers fake their identity in thousands of rides. Pressure to create more safety regulations for ride-hailing companies makes them more vulnerable to increased costs. As these companies regularly operate at a loss, new regulations could put them at higher risk for financial trouble. Regulators have been unapologetic, saying they must prioritize public safety.
Following Uber and Lyft leaving Austin, Texas, drivers and riders have taken to alternative methods to create ride-hailing services. Extents of this effort range from Facebook groups to a newly developed app, Arcade City. As of 2016, Arcade City was not registered with the city, and it lets drivers and riders determine their own level of comfortability with riding conditions.
A blog run by a long-time rideshare driver includes resources on what it's like to drive for various rideshare and delivery companies, and how to maximize profits and manage finances as a driver. The author also published a book, The Rideshare Guide: Everything You Need to Know about Driving for Uber, Lyft, and Other Companies, in 2018.
The City of Summit, New Jersey partnered with Lyft to reduce commuter need for parking within the city. This partnership expands on a previous partnership with Uber, extending the program for one year. The goal of the partnership is to provide greater flexibility for residents and reduce municipal lot congestion.
TNCs provide on-demand mobility service that either complements or competes with transit services. This article studies how TNCs influence changes in urban travel patterns as well as energy and environmental implications.
The growth of ride-hailing services has led to more traffic and less transit use in the United States, contrary to predictions that suggested the opposite would happen when transportation network companies first started becoming popular. Some data shows that household vehicle ownership increased in cities where Uber and Lyft are most heavily used, while there is also a growing number of urban households that own zero or few cars. The article analyzes this data to determine whether Americans own fewer cars, and discusses how vehicle ownership relates to population growth in several cities.
This article studies how emerging “smart mobility” systems will affect equity issues in Portland, Oregon. It suggests that affordable and improved public transit, ridesharing and active transportation could address many transportation challenges.
“Fehr & Peers was engaged by Lyft and Uber to determine their combined Vehicle Miles Traveled (VMT) in six metropolitan regions in September 2018 and compare that value to approximate total VMT in each area for the same period.”
Ride-hailing services like Uber and Lyft are changing how travelers get to the airport. This trend is negatively affecting airports, which depend on parking, rental car, and taxi fees as a primary source of revenue.
As people are relying more on ride-hailing services instead of driving themselves, cities are seeing a reduction in parking demand.
“New York City will be the first city in the US to charge motorists extra to enter the busiest areas, after the state agreed to a congestion pricing plan as part of its fiscal year 2020 budget.”
“Taking Uber or Lyft to and from work and to run errands might seem more expensive than driving yourself–but in many cases, relying on a ride-hailing service is cheaper than buying and using a car of your own. A new calculator compares both scenarios, and might help you decide to ditch car ownership entirely.”
This is a fact sheet suitable for use as a printed handout on Urbanism Next's topline research findings regarding TNCs.
Sustainable, inclusive, prosperous, and resilient cities depend on transportation that facilitates the safe, efficient, and pollution-free flow of people and goods, while also providing affordable, healthy, and integrated mobility for all people. The pace of technology-driven innovation from the private sector in shared transportation services, vehicles, and networks is rapid, accelerating, and filled with opportunity. At the same time, city streets are a finite and scarce resource.These principles, produced by a working group of international NGOs, are designed to guide urban decision-makers and stakeholders toward the best outcomes for all.
"Private Transit: Existing Services and Emerging Directions provides an overview and taxonomy of private transit services in the United States, reviews their present scope and operating characteristics, presents three case studies, and discusses ways private transit services may affect the communities in which they operate. This report is intended to help inform public transit agencies, local governments, potential service operators and sponsors, and other stakeholders about private transit services and ways these services address transportation needs in a variety of operating environments."
This purpose of this report is to help the cities of Gresham, Oregon and Eugene, Oregon understand the potential impacts of new mobility technologies – with an emphasis on autonomous vehicles (AVs) – and prepare a policy response. While Gresham and Eugene are case studies, it provides communities of all sizes 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 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.
In order to ease congestion downtown and relieve pressure on parking during the holiday season, the city of Boulder, Colorado engaged in a partnership with Lyft, Uber, and a taxi company zTrip. The pilot project, which ran for 11 weeks, involved the city subsidizing rides for residents of Boulder who travelled downtown using one of the partnership companies. This report presents the motivation, design, operation, and results of the pilot.
The Go Centennial pilot was the first pilot project in the country where a government or transit agency fully subsidized first and last-mile rides provided by a transportation network company (in this case Lyft). The Go Centennial pilot was launched in Centennial, Colorado on August 2016 and ran for six months until February 2017. This final report is one of the most comprehensive evaluations of a TNC partnership pilot, and details the goals, preexisting conditions, and procurement and design of the pilot. The report concludes with a qualitative and quantitative analysis of the pilot and a set of lessons learned and key takeaways.
This report evaluates the Massachusetts Bay Transportation Authority's "The RIDE" pilot project. The pilot project, which is still in operation today, is an example of a public-private partnership, where the MBTA subsidizes ADA paratransit rides provided by Uber, Lyft, and Curb their traditional ADA paratransit customers. The analysis and modeling in the report is based off of data provided by the MBTA stretching from the pilot's start date in October 2016 through March 2018.
"The Pinellas Suncoast Transit Authority (PSTA), in Pinellas County, FL, was the first transit agency in the US to sign a service provision agreement with a transportation network company (TNC) to offer joint first/last-mile service subsidized by public dollars. PSTA’s “Direct Connect” pilot allows riders to get to and from bus stops in a taxi, wheelchair-accessible vehicle (WAV), or Uber TNC vehicle at a subsidized rate. PSTA’s overall experience developing, managing, and adapting the Direct Connect pilot provides insight into what transit agencies can expect when working with on-demand service providers. While operating on a larger scale, in a denser environment, or with a different ridership base may have offered different lessons in implementation, the Direct Connect pilot’s service design shows what is necessary for a successful launch of a pilot program: good data and transparency from all parties, as well as concrete plans for outreach and evaluation."
This report categorizes and summarizes efforts that are already underway in cities across the world to rethink curb management, to outline the key takeaways from the one-day workshop that involved city staff from Portland, Seattle, and Vancouver, and to identify major research gaps.
"This research explored how these new options could be synergistic with public transit models and detailed the experiences of two transit operators that entered into service delivery partnerships with a transportation network company and a micro- transit operator. Based on a series of interviews and the experiences of these two public agencies, this research provides a set of key takeaways and recommendations for transit operators exploring the potential of partnering with new mobility services such as transportation network companies (e.g., Uber or Lyft) and microtransit (e.g., Bridj or Via)."
"This Future of Mobility White Paper is intended to inform and guide policymakers and modelers developing the next iteration of the CTP –CTP 2050 –by presenting updated descriptions and analyses of developments impacting California’s transportation system."
The former mayor of Portland, Oregon, outlines what a smart ride-hailing tax looks like for American cities. He discusses how the City should price the TNCs and other shared mobility to ensure the urban equity and affordability goal. He provided six ideas for the full-benefits of a tiered ride-hailing tax and addresses likely downsides.
This report combines recently published research and newly available data from a national travel survey and other sources to create the first detailed profile of TNC ridership, users and usage. The report then discusses how TNC and microtransit services can benefit urban transportation, how policy makers can respond to traffic and transit impacts, and the implications of current experience for planning and implementation of shared autonomous vehicles in major American cities.
This article outlines the ebb and flow of Lyft's finances and how things have played out since they went public in March.
Uber has partnered with transit agencies in various cities all over the world to bring users options to buy train tickets on their app as well. This article gives us the run-down on the newly launched program and how its working.
The findings of a study on ride-sharing in 2 major U.S. cities, Boston and Seattle. Results found patterns of discrimination based on names of riders.
"This brief provides a framework for public agency stakeholders considering shared mobility public-private partnerships, to ensure that new partnerships are built from the beginning to include people with disabilities, including people in wheelchairs. While written with TNCs in mind, many of the discussions can be adapted for projects centered on other shared modes, such as microtransit or carsharing. Ultimately, planning for people with disabilities and seniors early in the process can help assure beneficial, accessible, and equitable service for everyone."
The survey results described here provide a new window into ride-hailing utilization in the Boston Region. Our findings confirm many widespread assumptions about ride-hailing, but also provide new insights into previously unexplored and unmeasured topics. Ride-hailing is used by a wide variety of Metro Boston residents, and riders are relatively representative of the region in terms of race and income.
"This report summarizes the status of twenty-nine partnerships between TNCs and public bodies around the United States designed to improve mobility." The analysis explains when the programs were or are active, if they were modified, the financial structure and performance audits.
"Ridehail services nearly eliminate the racial-ethnic differences in service quality. Policy and platform-level strategies can erase the remaining mobility gap and ensure equitable access to ridehailing and future technology-enabled mobility services."
This report examines the impact of TNC growth on traffic conditions in the Manhattan Central Business District (CBD), defined as 60 Street to the Battery, river to river. Using newly available data on TNC trips, the report presents a more detailed analysis of CBD traffic conditions than has been possible previously, isolating the impact of TNC growth in the Manhattan CBD during the most congested part of the day -- weekdays between 8 a.m. and 7 p.m.
The researcher examined six jurisdictions: three in Canada and in from the United States. In helping frame the issue for B.C. and—more specifically— the Vancouver metropolitan area context, the researcher conducted primary research to understand the accessibility challenges in the regional context and to help frame the topic of accessibility within the for-hire sector.
This report presents findings from a detailed analysis of the growth of app-based ride services in New York City, their impacts on traffic, travel patterns and vehicle mileage since 2013, and implications for policy makers. The analysis utilizes trip and mileage data that are uniquely available in New York City, providing a detailed and comprehensive look at the expansion of app-based ride services and their impact on critical City goals for mobility, economic growth and environmental sustainability.
It is no secret that transit systems are chronically short in funding and increases to their budgets are tough to nail down. This article describes the common way that this funding is being sourced and why it may not be the best way.
"This report’s findings, draw on a thorough investigation of active and inactive partnerships between transit agencies and TNCs, designed to enhance understanding of project development and structure and how those were achieved. While partnerships between transit agencies and private mobility providers are not new, partnerships with TNCs create unique opportunities and challenges as both parties work toward mutually beneficial program models. This research is informed by dozens of transit agency surveys and follow-up interviews, past literature, and interviews with TNC policy staff and industry experts as well as FTA representatives, and provides a Partnership Playbook so that the transit industry can be more deliberate in its approach to working with TNCs."
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