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Conference on Sustainable Urban Mobility

CSUM 2018: Data Analytics: Paving the Way to Sustainable Urban Mobility pp 223–232Cite as

Megatrends, a Way to Identify the Future Transport Challenges

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 879))

Abstract

In the last ten years, huge advances in detecting trends methodology have been spotted in particular in Europe. Trend represents a fundamental change over an extended period, i.e. associations that are defined by crossing contextual borders. They are phenomena that are always complex and whose lifespans can only be measured inaccurately. Trends, whose implications are reflected on the whole or almost entire society, are called megatrends. The objective of this paper is to define the key megatrends affecting the future passenger and freight transportation system through review and analysis of the transport reports and studies on the global level. Megatrends commonly elaborated in the majority of literature sources will be identified. It indicates a convergence to those that are most important for the future development of transportation processes.

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Acknowledgments

The results incorporated in this paper received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 769638, project title: INtentify future Transport rEsearch NeeDs (INTEND).

Author information

Authors and Affiliations

  1. Faculty of Transport and Traffic Engineering, University of Belgrade, Vojvode Stepe 305, 11000, Belgrade, Serbia

    Vladislav Maraš & Mirjana Bugarinović

  2. Coventry University Enterprises Ltd, Puma Way, Coventry, CV1 2TT, UK

    Eleni Anoyrkati & Alba Avarello

Authors
  1. Vladislav Maraš
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  2. Mirjana Bugarinović
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  3. Eleni Anoyrkati
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  4. Alba Avarello
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Corresponding author

Correspondence to Vladislav Maraš .

Editor information

Editors and Affiliations

  1. Department of Civil Engineering, Traffic, Transportation and Logistics Laboratory (TTLog), University of Thessaly, Volos, Greece

    Eftihia G. Nathanail

  2. Department of Civil Engineering, Traffic, Transportation and Logistics Laboratory (TTLog), University of Thessaly, Volos, Greece

    Ioannis D. Karakikes

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Maraš, V., Bugarinović, M., Anoyrkati, E., Avarello, A. (2019). Megatrends, a Way to Identify the Future Transport Challenges. In: Nathanail, E., Karakikes, I. (eds) Data Analytics: Paving the Way to Sustainable Urban Mobility. CSUM 2018. Advances in Intelligent Systems and Computing, vol 879. Springer, Cham. https://doi.org/10.1007/978-3-030-02305-8_27

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  • DOI: https://doi.org/10.1007/978-3-030-02305-8_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02304-1

  • Online ISBN: 978-3-030-02305-8

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