Titlebook: Analytics for the Sharing Economy: Mathematics, Engineering and Business Perspectives; Emanuele Crisostomi,Bissan Ghaddar,Robert Shorten B

Chromatic

Behaviour Change for the Sharing Economy successfully in areas as diverse as public health, advertising and retail. Despite its successes, behavior change science remains largely unknown among the engineering and technology community. In this chapter we provide a brief introduction to a vast field of knowledge. We describe practical behav

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Sharing Data in Automotive Applications sharing data in real time via V2X to optimize safety, security and energy efficiency as well as operational service efficiency becomes essential. Giving the history of proprietary system development in the automotive industry and the vehicle-centric business model, sharing in particular safety and

胆小懦夫

On Parsing Shared Information: An Application from the Connected Car Domainmultitude of devices. In this context, a key challenging requirement for connected vehicles is that they will need to become . bodies, able to . information and use only the pieces of information that are relevant to the driver in the context of a given journey. Motivated by this scenario, we propos

Mystic

Mobility on Demand in the United Statesransportation services. This chapter reviews terms and definitions related to Mobility on Demand (MOD) and Mobility as a Service (MaaS), the mobility marketplace, stakeholders, and enablers. This chapter also reviews the U.S. Department of Transportation’s MOD Sandbox Program, including common oppor

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Data-Driven Rebalancing Methods for Bike-Share Systemshese systems face. One key challenge is to meet user demand for available bikes and docks by rebalancing the system. This chapter reports on a collaborative effort with Citi Bike to develop and implement real data-driven optimization to guide their rebalancing efforts. In particular, we provide new

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Lecture Notes in Computer Sciencethe globe: collaborative consumption. Collaborative consumption, or the sharing economy as it is also known, refers to businesses that are based on sharing resources and services, as opposed to traditional ownership-based models. Driven by widespread connectivity, new technology bricks such as block

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Suddhasil De,Diganta Goswami,Sukumar Nandin, yet all are subject to shared, coupling constraints. Distributed algorithms represent viable solution methods for solving generalized Nash equilibrium problems, since they require the agents to optimize and communicate locally, besides agree on the shared resources with selected other agents. The