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Big Data and Mobility as a Service
Engleski
335 b
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Big Data and Mobility as a Service explores MaaS platforms that can be adaptable to the ever-evolving mobility environment. It looks at multi-mode urban crowd data to assess the urban mobility characteristics, shared transportation potential and their performance conditions and constraints. It analyzes the roles of multimodality, travel behavior, urban mobility dynamics, and participation. Combining with insights on using big data to analyze the market and policy decisions, Big Data and Mobility as a Service is an essential tool for urban transportation management researchers and practitioners. Summarizes systematically current fundamental MaaS technologiesShows how to utilize anonymous big data for transportation analysis and problem-solvingIllustrates with data-enabled shared transportation service examples in different countries, exploring similarities and differences within a global urban mobility framework
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