Data and Mobility

  • Kyamakya K
  • Mitrea O
ISSN: 18675662
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Abstract

Recent data on urban traffic mobility emphasizes the difficulty of the current planning strategies in reaching the goals of either reducing, shifting or avoiding heavy traffic that is caused primarily by individual private vehicles. An interdisciplinary approach to designing a highly efficient, intelligent traffic and transportation concept is required, in which the development of innovative services and operation solutions is combined with a closer examination of the various user and stakeholders needs, their strategies as well as their dynamic grade-of-service requirements to cope with daily movements and accessibility. Considerations from the field of science and technology social studies will be combined with the critical analysis of the current urban mobility solutions. This knowledge is then used in a design process to create a sustainable example of an urban mobility service concept with the focus on both inter-modal and inter-service convergence, which we consider to be particularly attuned to the preferences and handling modes of the target users: a "Mobility stock market". © 2010 Springer-Verlag Berlin Heidelberg.

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APA

Kyamakya, K., & Mitrea, O. (2010). Data and Mobility. Advances in Intelligent and Soft Computing, 81(April), 177–186. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-80052941716&partnerID=tZOtx3y1

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