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The book provides an encompassing overview of all aspects relating
to the sharing economy paradigm in different fields of study, and
shows the ongoing research efforts in filling previously identified
gaps in understanding in this area. Control and optimization
analytics for the sharing economy explores bespoke analytics,
tools, and business models that can be used to help design
collaborative consumption services (the shared economy). It
provides case studies of collaborative consumption in the areas of
energy and mobility. The contributors review successful examples of
sharing systems, and explore the theory for designing effective and
stable shared-economy models. They discuss recent innovations in
and uses of shared economy models in niche areas, such as energy
and mobility. Readers learn the scientific challenging issues
associated with the realization of a sharing economy. Conceptual
and practical matters are examined, and the state-of-the-art tools
and techniques to address such applications are explained. The
contributors also show readers how topical problems in engineering,
such as energy consumption in power grids, or bike sharing in
transportation networks, can be formulated and solved from a
general collaborative consumption perspective. Since the book takes
a mathematical perspective to the topic, researchers in business,
computer science, optimization and control find it useful.
Practitioners also use the book as a point of reference, as it
explores and investigates the analytics behind economy sharing.
The book provides an encompassing overview of all aspects relating
to the sharing economy paradigm in different fields of study, and
shows the ongoing research efforts in filling previously identified
gaps in understanding in this area. Control and optimization
analytics for the sharing economy explores bespoke analytics,
tools, and business models that can be used to help design
collaborative consumption services (the shared economy). It
provides case studies of collaborative consumption in the areas of
energy and mobility. The contributors review successful examples of
sharing systems, and explore the theory for designing effective and
stable shared-economy models. They discuss recent innovations in
and uses of shared economy models in niche areas, such as energy
and mobility. Readers learn the scientific challenging issues
associated with the realization of a sharing economy. Conceptual
and practical matters are examined, and the state-of-the-art tools
and techniques to address such applications are explained. The
contributors also show readers how topical problems in engineering,
such as energy consumption in power grids, or bike sharing in
transportation networks, can be formulated and solved from a
general collaborative consumption perspective. Since the book takes
a mathematical perspective to the topic, researchers in business,
computer science, optimization and control find it useful.
Practitioners also use the book as a point of reference, as it
explores and investigates the analytics behind economy sharing.
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