Database search is coming soon. In the meantime, use the following categories to explore the database resources:
This paper explores the impacts of AVs on car trips using a case study of Victoria, Australia, specifically studying the potential increase in new trips and trip diversions from other modes such as public transport.
The introduction of shared autonomous vehicles (SAVs) in cities could potentially increase the number of vehicle miles traveled (VMT). The implementation of dynamic ride-sharing (DRS) systems could limit this increase and potentially result in a net reduction in VMT.
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.
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.
This resource includes a comprehensive overview of several types of shared mobility. The key modes reviewed include: car sharing, peer-to-peer carsharing, bike sharing, carpooling/ride sharing, and ride hailing.
This report explores peer-to-peer carsharing, its impacts on travel behavior, and how it can be incorporated with other shared mobility services.
This report examines several scenarios of connected and automated vehicle (CAV) adoption rates and studies their potential impacts on fuel efficiency and consumer costs. The results found massive uncertainties in potential long-term energy impacts from fully automated and highly connected vehicles in the high adoption rate scenario and similar uncertainties in the other scenarios. The authors outline the gaps in existing research and suggest routes for further research in order of importance.
Self-driving cars will be first available to robotaxi-fleet operators, not private owners. This availability restriction comes from the expensive nature of LIDAR sensors that make the sensors themselves more expensive than the rest of the vehicle. The safety and reliability of automated vehicles also impacts their ability to be privately owned, at least at first. Safe and reliable vehicle operation is easier to achieve when the vehicles operate within a geographic range that has been mapped in detail, meaning automated vehicles will mainly operate in city centers in their early stages of adoption. These considerations driving automated vehicles toward fleet ownership will have impacts on many areas of the automotive industry.
This paper surveys emerging mobility services in order to highlight the key points of the concept of “mobility as a service” and to develop an index that evaluates the level of mobility integration of each service.
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).
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.
"Researchers at the Transportation Sustainability Research Center (TSRC) at UC Berkeley conducted an evaluation of the RideKC: Bridj pilot program operating in Kansas City, MO. RideKC: Bridj is a public‐private partnership with the goal to enhance existing public transit options in Kansas City through a flexible microtransit service offered by Bridj. TSRC UC Berkeley’s goal in this evaluation is to assess the travel behavior impacts of the service, as well as to provide operational and institutional analysis."
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.
BMW’s car-sharing service abruptly ceased operation Wednesday, ending a mobility program that included 1,000 free-floating vehicles used by more than 100,000 members across Seattle and Portland.
"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 report was developed to inform a Federal Highway Administration (FHWA) workshop, held in September 2015, exploring emerging technological trends in transportation. This paper provides an overview of select developing transportation technologies and includes a discussion of the policy implications of these new technological trends.
As a strategic roadmap, this document does not commit to specific budgets or metrics but serves as a vision and communications document to capture a wide variety of viewpoints into Austin’s mobility future. This roadmap will be incorporated into the larger Austin Strategic Mobility Plan to be finalized and approved at a future date. Critical to the development of the broader Mobility Plan will be an extensive analysis of the resource requirements for implementation of this shared, electric and autonomous vehicle (e-av) Roadmap.
This document includes the interests of most, if not all, major issues surrounding the impact AVs will have on our communities, government, and environment once they land.
This white paper discusses the forces affecting U.S. passenger travel, the permanence of which is often unclear. We explore travel demand’s relationship with explanatory factors such as economic activity, gas prices, urban form, socio-demographic traits and generational effects, the expanding availability of travel options (including electronic alternatives to travel) and technological innovations in the transportation sector (including the advent of emerging transportation and shared mobility services). We discuss how these factors modify the alternatives available to travelers, the characteristics of each alternative, and the way travelers perceive and evaluate these characteristics.
Continuous and dynamic growth in demand for road transport, especially in developing countries, causes increase of greenhouse gases (GHG) emissions. At the same time the emissions of toxic components of exhaust gases harmful to human health and the environment enhance – particulate matter, nitrogen oxides, carbon monoxide and others. In particular, GHG emission and increase their concentration in the atmosphere, where road transport is the largest issuer in the transport sector, become one of the most important global problems. So far actions towards reducing energy consumption and emissions have not caused a decrease in global emissions. The aim of authors of this paper is to analyze the potential for AV to reduce GHG emissions from road transport. The analysis includes not only technical and technological issues, but also organizational and in the management of transport demand.
The Transportation Authority’s “Emerging Mobility Evaluation Report” provides the first comprehensive look at the rapidly evolving emerging mobility sector in San Francisco. The report outlines the range of services operating in San Francisco, covering everything from ride-hail services to autonomous vehicles and microtransit to scooter sharing. In the report, the Transportation Authority evaluates how these services and technologies align with the city’s 10 Guiding Principles related to collaboration, safety, transit, congestion, sustainability, equitable access, accountability, labor, disabled access, and financial impact.
"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."
Although recent studies of Shared Autonomous Vehicles (SAVs) have explored the economic costs and environmental impacts of this technology, little is known about how SAVs can change urban forms, especially by reducing the demand for parking. This study estimates the potential impact of SAV system on urban parking demand under different system operation scenarios with the help of an agent-based simulation model. The simulation results indicate that we may be able to eliminate up to 90% of parking demand for clients who adopt the system, at a low market penetration rate of 2%. The results also suggest that different SAV operation strategies and client's preferences may lead to different spatial distribution of urban parking demand.
This report summarizes the major assumptions, predictions and forecasts that have been made for autonomous vehicles. It emphasizes their impact and takes focus on the effects it will have on previously immobile people and what it will take to integrate them legislatively.
This report, BCG's latest on autonomous vehicles, examines the case for AVs as a cornerstone of the urban mobility revolution, as seen through experience of Boston. It describes transportation challenges, strategic considerations, scenario modeling and simulations, field testing. We hope that leaders in the public and private sectors who are considering nuw urban mobiliy models will benefit from these reflections and recommendations on Boston's experience thus far.
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.
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.
Local governments, municipal planning organizations, and transit agencies are understandably circumspect in their actions to regulate autonomous vehicles. Policymakers must strike a delicate balance between crafting forward-thinking regulations and being so quick-to-act that decisions are rendered obsolete by the changing marketplace. In this case, however, it is crucial that metropolitan actors do not fall behind the wave of technological progress—now is the moment to envision their ideal land use and transportation scenarios.
"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."
"Carsharing exemplifies a growing trend towards service provision displacing ownership of capital goods. We developed a model to quantify the impact of carsharing on greenhouse gas (GHG) emissions. The study took into account different types of households and their trip characteristics. The analysis considers five factors by which carsharing can impact GHG emissions: transportation mode change, fleet vintage, vehicle optimization, more efficient drive trains within each vehicle type, and trip aggregation. Access to carsharing has already been shown to lead some users to relinquish ownership of their personal vehicle. We find that even without a reduction in vehicle-kilometers traveled the change in characteristics of the vehicles used in carsharing fleets can reduce GHGs by more than 30%. Shifting some trips to public transit provides a further 10%–20% reduction in GHGs"
Different business models of AVs, including Shared AVs (SAVs) and Private AVs (PAVs), will lead to significantly different changes in regional vehicle inventory and Vehicle Miles Traveled (VMT). Most prior studies have already explored the impact of SAVs on vehicle ownership and VMT generation. Limited understanding has been gained regarding vehicle ownership reduction and unoccupied VMT generation potentials in the era of PAVs. Motivated by such research gap, this study develops models to examine how much vehicle ownership reduction can be achieved once private conventional vehicles are replaced by AVs and the spatial distribution of unoccupied VMT accompanied with the vehicle reduction. The models are implemented using travel survey and synthesized trip profile from Atlanta Metropolitan Area. The results show that more than 18% of the households can reduce vehicles, while maintaining the current travel patterns. This can be translated into a 9.5% reduction in private vehicles in the study region. Meanwhile, 29.8 unoccupied VMT will be induced per day per reduced vehicles. A majority of the unoccupied VMT will be loaded on interstate highways and expressways and the largest percentage inflation in VMT will occur on minor local roads. The results can provide implications for evolving trends in household vehicles uses and the location of dedicated AV lanes in the PAV dominated future.
This study examines the potential changes in residential location choice in a scenario where shared autonomous vehicles (SAVs) are a popular mode of travel in the Atlanta metropolitan area. This hypothetical study is based on an agent-based simulation approach, which integrates residential location choice models with a SAV simulation model. The coupled model simulates future home location choices given current home location preferences and real estate development patterns. The results indicate that commuters may relocate to neighborhoods with better public schools and more amenities due to reductions in commute costs.
Texas is one of the fastest growing states in the nation, and its growth is expected to continue, supported by diversity in its economy, geography, and population. The challenge of prioritizing limited resources in this environment requires a proactive approach to travel demand management. This project provides guidance for TxDOT in its planning and mobility efforts and in understanding the viability of various alternative mobility programs.This report describes research of best practices and lessons learned from mobility programs. The research describes executive interviews, focus groups, and surveys to obtain details and document perspectives of the varying stakeholder groups. The research produced a guidebook that will aid TxDOT in determining how to best identify and implement alternative mobility programs in a given region as part of its planning and mobility efforts.
This paper evaluates the greenhouse gas (GHG) emission impacts that result from individuals participating in carsharing organizations within North America. The authors conducted an online survey with members of major carsharing organizations and evaluated the change in annual household emissions (e.g., impact) of respondents that joined carsharing. The results show that a majority of households joining carsharing are increasing their emissions by gaining access to automobiles.
This work describes the design of an agent-based model for shared autonomous vehicle (SAV) operations, the results of many case-study applications using this model, and the estimated environmental benefits of such settings, versus conventional vehicle ownership and use. Preliminary results indicate that each SAV can replace around eleven conventional vehicles, but adds up to 10% more travel distance than comparable non-SAV trips, resulting in overall beneficial emissions impacts, once fleet-efficiency changes and embodied versus in-use emissions are assessed.
This report estimates that by 2030, a substantial share of the 175 million Americans who live in the nation's largest cities will turn to SAEVs, cutting transportation costs by nearly 50%, reclaiming time instead of losing hours a day to traffic and putting up with all the expense and hassle of urban automobile ownership. SAEV fleets will account for nearly 25% of all auto passenger miles traveled in the US by 2030. Such a change will have an enormous impact on health, safety, and quality of life in cities: Traffic accidents and fatalities will be reduced by nearly two-thirds. Pollution will be drastically curtailed. Cities can repurpose millions of square feet once used for parking to new green spaces or commercial uses while securing more affordable mobility and accessibility for elderly, disabled, and low-income people.
"This paper identifies three promising applications of new mobility services by public transit agencies, and presents economic, social, and environmental modeling that illustrate the value of such partnerships to mass transit systems."
Technology is transforming transportation. The ability to conveniently request, track, and pay for trips via mobile devices is changing the way people get around and interact with cities. This report examines the relationship of public transportation to shared modes, including bikesharing, carsharing, and ridesourcing services provided by companies such as Uber and Lyft. The research included participation by seven cities: Austin, Boston, Chicago, Los Angeles, San Francisco, Seattle and Washington, DC. The objective of this research analysis is to examine these issues and explore opportunities and challenges for public transportation as they relate to technology-enabled mobility services, including suggesting ways that public transit can learn from, build upon, and interface with these new modes.
Lyft's new Shared Saver option offers individuals cheaper rides for the price of waiting a little longer and walking a little further.
Connected and fully automated or autonomous vehicles (CAVs) are becoming increasingly viable 23 as a technology and may soon dominate the automotive industry. Once CAVs are sufficiently 24 reliable and affordable, they will gain greater market penetration, generating significant economic 25 ripple effects throughout many industries. This paper synthesizes and expands upon analysis from 26 multiple reports on the economic effects of CAVs across 13 different industries and the overall 27 economy.
This paper models the market potential of a fleet of shared, autonomous, electric vehicles (SAEVs) 20 by employing a multinomial logic mode choice model in an agent-based framework and different 21 fare settings.
TCRP Report 108 presents the research team’s findings on the: Current and potential roles of car-sharing in enhancing mobility as part of the transportation system; Characteristics of car-sharing members and neighborhoods where car-sharing has been established; Environmental, economic, and social impacts of car-sharing; Ways in which partner organizations have tried to promote car-sharing; Barriers to car-sharing and ways to mitigate these barriers; and Procurement methods and evaluation techniques for achieving car-sharing goals.
This doctoral dissertation analyzes the impacts of ridesourcing on several areas of transportation including: efficiency in terms of distance Vehicles Miles Traveled (VMT) versus Passenger Miles Traveled (PMT) – and travel times, mode replacement, VMT increase, parking, transportation equity, and travel behavior.
This paper discusses the history of shared mobility within the context of the urban transportation landscape, first in Europe and Asia, and more recently in the Americas, with a specific focus on first- and last-mile connections to public transit. The authors discuss the known impacts of shared mobility modes—carsharing, bikesharing, and ridesharing—on reducing vehicle miles/kilometers traveled (VMT/VKT), greenhouse gas (GHG) emissions, and modal splits with public transit. The future of shared mobility in the urban transportation landscape is discussed, as mobile technology and public policy continue to evolve to integrate shared mobility with public transit and future automated vehicles.
"This white paper provides a framework and examples to assist transportation agencies in anticipating and planning for shared mobility as part of a higher-performing regional multimodal transportation system. It synthesizes noteworthy practices in 13 metropolitan areas as of spring/summer 2017 collected from online research and conversations with planning practitioners, identifies challenges and opportunities, and provides recommendations for future research needed to improve planning practices related to shared mobility."
"This research shows that public transportation (in its current form) will only remain economically competitive where demand can be bundled to larger units. In particular, this applies to dense urban areas, where public transportation can be offered at lower prices than autonomous taxis (even if pooled) and private cars. Wherever substantial bundling is not possible, shared and pooled vehicles serve travel demand more efficiently."
This Strategic Plan is designed to help the East-West Gateway Council of Governments (EWG) to better position itself to prepare for emerging transportation technologies in its planning and investment decision making processes.
"WRI’s research provides initial findings regarding the feasibility and impact of carsharing in emerging markets, though many uncertainties remain. Limitations of the study include a light methodology that only scratched the surface of these important issues, and uncertain transferability from Hangzhou and Bangalore. In addition, the relative absence of carsharing (and research on carsharing) in emerging markets limits the extent to which observations can be interpreted and extrapolated. That said, this study provides important early findings on the current industry, barriers, and service features; and suggests significant potential for carsharing in emerging markets. The results could help inform more in-depth research, operational approaches, and public policy."
"Ride-sharing services are transforming urban mobility by providing timely and convenient transportation to anybody, anywhere, and anytime. These services present enormous potential for positive societal impacts with respect to pollution, energy consumption, congestion, etc."
"This report examines the changes that might result from the large-scale uptake of a shared and self-driving fleet of vehicles in a mid-sized European city. The study explores two different self-driving vehicle concepts, for which we have coined the terms 'TaxiBot' and 'AutoVot'. TaxiBots are self-driving cars that can be shared simultaneously by several passengers. AutoVots pick-up and drop-off single passengers sequentially. We had two premises for this study: First, the urban mobility system upgrade with a fleet of TaxiBots and AutoVots should deliver the same trips as today in terms of origin, destination and timing. Second, it should also replace all car and bus trips. The report looks at impacts on car fleet size, volume of travel and parking requirements over two different time scales: a 24-hour average and for peak hours only."
This chapter is intended for the reader who wants to understand what vehicle automation is, its main research questions, and what are its main implications. We also provide guidance on the methods that have been used or could be used to assess its impacts, hence allowing future research on this topic.
"This article intends to advance future research about the travel behavior impacts of SAVs, by identifying the characteristics of users who are likely to adopt SAV services and by eliciting willingness to pay measures for service attributes. The results show that service attributes including travel cost, travel time and waiting time may be critical determinants of the use of SAVs and the acceptance of DRS. Differences in willingness to pay for service attributes indicate that SAVs with DRS and SAVs without DRS are perceived as two distinct mobility options. The results imply that the adoption of SAVs may differ across cohorts, whereby young individuals and individuals with multimodal travel patterns may be more likely to adopt SAVs."
This article discusses the changes that will be necessary once AVs hit our streets. The changes in insurance policies, jobs, land use, etc. will change our societal norms.
Upon the roll-out of AVs into our streets, the importance of public and private sector partnerships are emphasized. With increased mobility, the demand for private rides could be increased and therefore increase congestion in our streets.
This article is an introduction to how AVs may be able to service the general public and become a part of our transit systems.
"This paper presents findings from a comprehensive travel and residential survey deployed in seven major U.S. cities, in two phases from 2014 to 2016, with a targeted, representative sample of their urban and suburban populations. The purpose of this report is to provide early insight on the adoption of, use, and travel behavior impacts of ride-hailing. The report is structured around three primary topics, key findings of which are highlighted below."
Traffic at the airports—even before you get inside—has gotten worse. The cause is not just the record number of travelers. It’s also the shift to ride sharing.
"This report explores autonomous vehicle benefits and costs, and implications for various planning issues. It investigates how quickly self driving vehicles are likely to be developed and deployed based on experience with previous vehicle technologies, their benefits and costs, and how they are likely to affect travel demands and planning decisions such as optimal road, parking and public transit supply."
"As a guide for planners and policymakers, the objective of this thesis is to develop a strong foundation for anticipating the potential impacts resulting from advancements in vehicle automation. To establish the foundation, this thesis uses a robust qualitative methodology, coupling a review of literature on the potential advantages and disadvantages of vehicle automation and lessons from past innovations in transportation, with recent trends of the Millennial Generation, carsharing services, and a series of interviews with thought-leaders in automation, planning, policymaking, transportation, and aviation. From the perspective of understanding the bigger picture, this thesis developed a proposed future scenario of vehicle automation in the next five to ten years that is used to suggest guiding principles for policymakers, and key recommendations for planners, engineers, and researchers."
In this article, we set out to collect the facts and compile CEO quotes to determine the self-driving timelines of the world’s 11 largest automakers. Many businesses and industries will be impacted by the impending transitions in autonomous vehicle tech, and our aim is to put the most relevant facts together for business leaders and auto enthusiasts alike.
Forth, a Portland-based mobility group, will receive funding for the Clean Rural Shared Electric Mobility (CRUSE) Project from the U.S. Department of Energy for Advanced Vehicle Technologies Research. The CRUSE Project seeks to demonstrate that round trip plug-in electric vehicle (PEV) carsharing can serve rural communities while benefitting low income residents and local businesses. This project will bring the carsharing model to rural communities, where private investment might otherwise never go.
One of the more confusing words frequently associated with robocars (and all discussion of the future of transportation) is "shared." Unfortunately, this means two very different things, with quite different consequences.
We review the history, current developments, projected future trends and environmental impacts of automated vehicles (AVs) and on-demand mobility, and explore potential synergies. Many automobile manufacturers and Google plan to release AVs between 2017 and 2020, with potential benefits including increased safety, more efficient road use, increased driver productivity and energy savings. Combining on-demand mobility and AVs may amplify adoption of both, and further lower energy use and GHG emissions through the use of small, efficient shared AVs.
See something that should be here that isn't? Have a suggestion to make?