Exploration of the Current State and Directions of Dynamic Ridesharing

Dynamic ridesharing (DRS) is an emerging transportation service based on the traditional concept of shared rides. DRS makes use of web-based real-time technologies to match drivers with riders. Enabling technologies include software platforms that operate on mobile communication devices and contain location-aware capabilities including Global Positioning Systems (Agatz, Erera, Savelsberg, & Wang, 2012). The platforms are designed to provide ride-matching services via smartphone applications differing from early systems that used non-real time services such as internet forums, or telecommunications, where responses were not immediate. The study of DRS is important when considering its role as an emerging transportation demand management strategy. DRS reduces travel demand on singleoccupancy vehicles (SOVs) by filling vehicle seats that are typically left vacant. The most recent statistics of vehicle occupancy rates were measured in 2009 by the National Household Travel Survey (NHTS), conducted by the U.S. Department of Transportation. According to the NHTS, the 2009 occupancy rate for all purposes was a meager 1.67 persons per vehicle (Federal Highway Administration, 2015). Vehicle occupancy rates examined against the total of all registered highway vehicles in the U.S. as of 2012, calculated at 253,639,386 (Bureau of Transportation Statistics, 2015), reveals the magnitude of the impact of SOVs. Left unattended, the ramifications for environmental outcomes is substantial. Among the major energy consuming sectors, transportation\u27s share is largest in terms of total CO2 emissions at 32.9% (Davis, Diegel, & Boundy, 2014, p. 11-15). DRS offers promise to fill empty vehicle seats. Evidence indicates that specific demographic subgroups are inclined to use DRS services. For example, data suggest that the subgroup of 18 to 34-year-olds, the so-called millennials , have negative attitudes towards private car ownership unlike previous age groups (Nelson, 2013). Data collected for this study revealed that the millennial subgroup represents half of all DRS users. Millennials also revealed they tended to use DRS more than other subgroups to replace a private vehicle. Further research is needed to determine if the trend towards DRS by 18 to 34-year-olds represents current economic factors or a fundamental cultural shift away from the SOV transportation model

Carpooling Liability?: Applying Tort Law Principles to the Joint Emergence of Self-Driving Automobiles and Transportation Network Companies

Self-driving automobiles have emerged as the future of vehicular travel, but this innovation is not developing in isolation. Simultaneously, the popularity of transportation network companies functioning as ride-hailing and ride-sharing services have altered traditional conceptions of personal transportation. Technology companies, conventional automakers, and start-up businesses each play significant roles in fundamentally transforming transportation methods. These transformations raise numerous liability questions. Specifically, the emergence of self-driving vehicles and transportation network companies create uncertainty for the application of tort law’s negligence standard. This Note addresses technological innovations in vehicular transportation and their accompanying legislative and regulatory developments. Then, this Note discusses the implications for vicarious liability for vehicle owners, duties of care for vehicle operators, and corresponding insurance regimes. This Note also considers theoretical justifications for tort concepts including enterprise liability. Accounting for the inevitable uncertainty in applying tort law to new invention, this Note proposes a strict and vicarious liability regime with corresponding no-fault automobile insurance

Emerging transport technologies and the modal efficiency framework: A case for mobility as a service (MaaS)

The land passenger transport sector lies on the cusp of a major transformation, guided by collaborative consumption, next generation vehicles, demographic change and digital technologies. Whilst there is widespread enthusiasm across the community for this nexus of disruptors, the wholescale implications on road capacity, traffic congestion, land use and the urban form remains unclear, and by extension, whether this emerging transport paradigm will bring a net benefit to the transport system and our communities. Some issues include the proliferation of point-to-point transportation, a continuation of universal vehicle ownership, and the demise of fixed route public transport—all envisaged by various industry leaders in technology and transportation. In this paper, we develop the modal efficiency framework, with axes representing spatial and temporal efficiency to illustrate why some of these developments may be geometrically incompatible with dense urban environments. We then investigate three potential scenarios likely to emerge and explain why they may be problematic with reference to this framework. Mobility as a service (MaaS) based on shared mobility and modal integration is then introduced as a sustainable alternative which accounts for the realities of spatial and temporal efficiency. Various models for implementing MaaS are evaluated including the distinction between commercially-motivated models (presently well advanced in research and development), and systems which incorporate an institutional overlay. The latter, government-led MaaS, is recommended for implementation given the opportunity for incorporating road pricing as an input into package price, defined by time of day, geography and modal efficiency. In amidst the hype of this emerging transport paradigm, a critical assessment of the realm of possibilities can better inform government policy and ensure that digital disruption occurs to our advantage

Can Sharing be Taxed?

In the past few years, we have seen the rise of a new model of production and consumption of goods and services, often referred to as the “sharing economy.” Fueled by startups such as Uber and Airbnb, sharing enables individuals to obtain rides, accommodations, and other goods and services from peers via personal computer or mobile application in exchange for payment. The rise of sharing has raised questions about how it should be regulated, including whether existing laws and regulations can and should be enforced in this new sector or whether new ones are needed. In this Article, we explore those questions in the context of taxation. We argue that, contrary to the claims of some commentators, the application of substantive tax law to sharing is mostly (though not completely) clear, because current law generally contains the concepts and categories necessary to tax sharing. However, tax enforcement and compliance may present challenges, as a result of two distinctive features of sharing. First, some sharing businesses opportunistically pick the more favorable regulatory interpretation if there is ambiguity regarding which rule applies or whether a rule applies. The existence of these ambiguities has been exacerbated by the structures of the new sharing economy and this has led to compliance and enforcement gaps. Second, the “microbusiness” nature of sharing raises unique compliance and enforcement concerns. We suggest strategies for addressing these dual challenges, including lower information reporting thresholds, safe harbors and advance rulings to simplify tax reporting, and targeted enforcement efforts

Diagnosing Sharing Anxiety

Numerous studies indicate that the potential of autonomous vehicles (AVs) to reduce greenhouse gas emissions, reduce traffic congestion, and increase mobility access can only be fully realized through fleets of vehicles being used for shared rides, also known as dynamic ridepooling. This has the potential for transforming the public transport industry, as well as how transportation functions in urban and rural contexts.In order for shared AVs (SAVs) to be a feasible service, users need to be willing to share a driverless space with strangers. However, most of the research in the field has focused on traffic impact studies or in technological acceptance, not social acceptance of the driverless space an AV represents. In contemporary dynamic ridepooling or on-demand transport, users are often motivated through lower fares to share their ride in a human-driven vehicle, yet pooled rides are not a given service by many companies.Understanding how potential users feel about sharing a driverless space with strangers, is critical in order to develop strategies for increasing acceptance and adoption of a new mobility behavior, especially when planning for shared autonomous transport. What are the factors that would motivate users to make this choice? If given the option of a driverless vehicle, would users of these services be motivated by the same factors? That is what Study 1 of this licentiate thesis sought to answer.Using qualitative research methods, the study comprised of four focus groups held in New South Wales, Australia, with active users of either the trialled on-demand transport service or commercial ridepooling. Through thematic analysis of the focus group conversations, confirmed factors of cost, comfort, convenience, safety, community culture, and trust in authority emerged. However, the results showed that when presented with driverless scenarios, the focus group participants’ willingness-to-share dropped significantly, due to strong concerns about the unknown behaviour of their co-passengers. This revealed ”sharing anxiety” in even extremely motivated users of dynamic ridepooling, and a potential barrier to the deployment of SAVs.Thus Study 2 turned to transportation stakeholders in New South Wales, to understand their perspectives on how to mitigate this problem. Study 2 is a policy-focused investigation with experts from the state’s transport authority, autonomous vehicle operators, public transport operators, and academics. Again, qualitative methods were used, this time one-on-one interviews. The results revealed a relative lack of awareness about the existence and impact of sharing anxiety, which in turn raises concerns about the preparedness of governments and transport operators to introduce SAV services.The combined confirmation of sharing anxiety as a complex barrier, as well as the lack of awareness from transportation stakeholders, indicates a potential challenge to the widespread adoption of SAVs and shared autonomous public transport (SAPT), one that would require building strategies for increasing willingness-to-share at the community or societal level. This licentiate begins the foundational work towards the development of a descriptive and prescriptive framework, the Societal Readiness Index for Shared Autonomy

Disruptive New Firms in the Sharing Economy: A Process View of Corporate Reputations

This thesis addresses the formation of corporate reputations for digital platform-based disruptive new firms (DNFs) in the sharing economy. I provide one of the first empirical studies to examine the process by which reputations unfold over time, taken from a socially constructed view. I offer a nuanced understanding into the formation of both market and character reputations. I conduct a longitudinal qualitative analysis of a typical case of DNFs in the sharing economy, Uber Technologies Inc. The findings highlight that DNFs develop rapid market reputations and may sustain it in light of misconduct and wrongdoing. The impact of enduring misconduct, places a negative pressure on DNFs’ character reputations, however limited. I evaluate stakeholder sensemaking in two marketplaces: the marketplace of goods and services and the marketplace of ideas (Mahon & Wartick, 2003). In the former, DNFs are subject to rapid market responses by primary stakeholders, investors, who by rewarding firms on meeting economic imperatives, incite the adoption of precarious practices. In the marketplace of ideas, misconduct and wrongdoing evoke more significant tensions between economic and social values. The nature of DNFs wrongdoing often resides in a grey zone, which drives contested understandings in the marketplace of ideas. Enduring and positive market signals of DNFs’ market reputations also interfere with stakeholder sensemaking. As a result, character reputations take time to form and place limited pressure on market reputations. I also highlight that the embeddedness of a CEO-founder and the firm is a critical mechanism by which DNFs may ward off damage to character reputations

Analysis of business opportunities for car-related shared mobility services

The confluence of digital technology and connectivity has led, in several sectors, to the rise of application-based shared economy activities. In particular, in the mobility sector, there has been an increase in on-demand shared transport initiatives. These new business models are transforming the urban mobility sector from a limited choice of transport services to a scenario full of new players offering different types of demand responsive mobility services. This change in urban mobility also has an impact on the automotive industry, where manufacturers such as SEAT not only see the opportunity for their cars to be used by these new services, but begin as well to see themselves as potential providers of mobility services. Even so, for the time being, the most popular and widespread shared mobility services remain unprofitable. For this reason, the thesis analyses the business models of the new shared mobility services, with the aim of proposing improvements to increase their profitability. It also identifies the different uses that can be given to them and the factors to be taken into account in the design and implementation process. The methodology used for this research is the study of cases, which have been conducted through surveys and interviews. The research begins with the study of the current and future mobility ecosystem and the behaviour of the automobile industry in this context. Next, the following five case studies are developed. The first analyses the business models of shared mobility services provided by cars –i.e. carsharing, ridesharing, and ride-hailing services– to find out synergies between them for proposing a combined business model. The second aims to study the mobility patterns of citizens and their intention to use shared mobility services. The third and fourth case studies focus on the identification of design factors and use cases of on-demand shared ride-hailing services. This part of the research looks at these services given their potential when cars are autonomous, and the opportunities that the software they use represents for public transport, with buses that could become demand responsive transport services. Finally, the fifth case study analyses the mobility ecosystem from the perspective of local governments and providers of technology and insurance, studies the feasibility of the combination of uses in shared mobility services, and detects the barriers faced by these new business models.La confluència de la tecnologia digital i la connectivitat ha motivat, en diversos sectors, l'auge de les activitats d'economia compartida basades en aplicacions. Concretament, en el sector de la mobilitat s'ha experimentat un creixement de les iniciatives de transport compartit a demanda. Aquests nous models de negoci estan transformant el sector de la mobilitat urbana, que passa de tenir una oferta limitada de serveis de transport a un escenari ple de nous actors que ofereixen diferents serveis de mobilitat a la carta. Aquest canvi en la mobilitat urbana també impacta en la indústria de l'automòbil, on fabricants com SEAT no només veuen l'oportunitat que els seus cotxes siguin utilitzats per aquests nous serveis, sinó que a més a més es comencen a veure com a possibles proveïdors de serveis de mobilitat. Tot i això, de moment, els serveis de mobilitat compartida més populars i estesos continuen sense ser rendibles. Per aquesta raó, la tesi portada a terme analitza els models de negoci dels nous serveis de mobilitat compartida, amb l’objectiu de proposar millores que permetin augmentar la seva rendibilitat. També s'identifiquen els diferents usos que se'ls hi pot donar i els factors que cal tenir en compte a l’hora de dissenyar-los i implementar-los. La metodologia utilitzada per a aquesta investigació és l'estudi de casos, els quals s'han desenvolupat a través d'enquestes i entrevistes. La recerca comença amb l'estudi de l'ecosistema de mobilitat actual i futur, i el comportament de la indústria de l'automòbil en aquest context. Tot seguit es desenvolupen cinc casos d'estudi. En el primer s'analitzen els models de negoci dels serveis de mobilitat compartida que s’ofereixen amb cotxes, es a dir, els serveis de carsharing, ridesharing i ride-hailing, amb la finalitat de trobar sinergies entre ells per a proposar un model de negoci combinat. El segon té com a objectiu estudiar els patrons de mobilitat dels ciutadans i la seva intenció en utilitzar els serveis de mobilitat compartida. El tercer i el quart cas d'estudi se centren a identificar els factors de disseny i els casos d'ús dels serveis d'on- demand shared ride-hailing. Aquesta part de la investigació es fixa en aquests serveis pel potencial que poden tenir quan els cotxes siguin autònoms, i per les oportunitats que el software que utilitzen representen per al transport públic, amb busos que podrien convertir-se en serveis de transport a demanda. Per últim, en el cinquè cas d'estudi s'analitza l’ecosistema de mobilitat des de la perspectiva dels governs locals i dels proveïdors de tecnologia i d'assegurances, s'estudia la viabilitat de la combinació d'usos en els serveis de mobilitat compartida, i es detecten quines són les barreres amb què es troben aquests nous models de negoci.La confluencia de la tecnología digital y la conectividad ha motivado, en varios sectores, el auge de las actividades de economía compartida basadas en aplicaciones. Concretamente, en el sector de la movilidad se ha experimentado un crecimiento de las iniciativas de transporte compartido a la demanda. Estos nuevos modelos de negocio están transformando el sector de la movilidad urbana, que pasa de tener una oferta limitada de servicios de transporte a un escenario lleno de nuevos actores que ofrecen diferentes servicios de movilidad a la carta. Este cambio en la movilidad urbana también impacta en la industria del automóvil, donde fabricantes como SEAT no solo ven la oportunidad que sus coches sean utilizados por estos nuevos servicios, sino que además se empiezan a ver como posibles proveedores de servicios de movilidad. Aun así, por el momento, los servicios de movilidad compartida más populares y extendidos continúan sin ser rentables. Por esta razón, la tesis llevada a cabo analiza los modelos de negocio de los nuevos servicios de movilidad compartida, con el objetivo de proponer mejoras que permitan aumentar su rentabilidad. También se identifican los diferentes usos que se les puede dar y los factores a tener en cuenta en el proceso de diseño e implementación. La metodología utilizada para esta investigación es el estudio de casos, los cuales se han desarrollado por medio de encuestas y entrevistas. La investigación empieza con el estudio del ecosistema de movilidad actual y futuro, y el comportamiento de la industria del automóvil en este contexto. Posteriormente se desarrollan cinco casos de estudio. En el primero se analizan los modelos de negocio de los servicios de movilidad compartida que se ofrecen con coches, es decir, los servicios de carsharing, ridesharing y ride-hailing, con el fin de encontrar sinergias entre ellos para proponer un modelo de negocio combinado. El segundo tiene como objetivo estudiar los patrones de movilidad de los ciudadanos y su intención al utilizar los servicios de movilidad compartida. El tercer y el cuarto caso de estudio se centran en identificar los factores de diseño y los casos de uso de los servicios de on-demand shared ride-hailing. Esta parte de la investigación se centra en estos servicios por su potencial con la llegada del coche autónomo, y por las oportunidades que el software que utilizan representan para el transporte público, con autobuses que podrían convertirse en servicios de transporte a la demanda. Por último, en el quinto caso de estudio se analiza el ecosistema de movilidad desde la perspectiva de los gobiernos locales y de los proveedores de tecnología y seguros, se estudia la viabilidad de la combinación de usos en los servicios de movilidad compartida, y se detectan cuáles son las barreras para estos nuevos modelos de negocio

The Current State and Future Trajectory of the Sharing Economy: A Multi-Stakeholder Perspective

The COVID-19 pandemic has had a transformative impact on social and economic value, as well as the role of mediating technology and regulation driving participation in the sharing economy. Considering the consequences that such transformations entail, in this paper, we provide a multi-stakeholder perspective of the pandemic\u27s impact on sharing economy enablers and drivers, and the resulting short and long-term implications for customers, providers, platform companies, and policymakers. Through the amalgamation and exploration of these multiple perspectives, we then present a roadmap of the key research themes, considerations, and policy gaps, supplemented with insights contributing toward the vision for a sustainable sharing economy. The comprehensive overview provided in this paper offers multiple avenues for future research across social, economic, technological, and regulatory domains