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Data-Driven Transport Policy in Cities: A Literature Review and Implications for Future Developments

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 844)

Abstract

The skill of analysis of big data provided by the ICT and the skill of using this information in the decision-making process become crucial elements of the increase in competitiveness and effectiveness in all sectors of economy, in particular in the transport sector, in the field of mobility management in cities. The data-driven transport policy is also one of key pillars of a smart city concept. The paper discusses the importance of data-driven decision making in the common transport policy of the European Union. The paper reviews also the carried out so far studies on the transport behaviour, utilising passive data streams. Finally, the paper discusses main challenges facing researchers and public transport authorities related to the use of passive data streams for the needs of studies in the future.

Keywords

Big data Mobility Transport policy Travel behaviour Passive data stream Transport demand Automated fare collection system Smart cards Urban transport Public transport Smart city Smart governance 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Faculty of EconomicsUniversity of Economics in KatowiceKatowicePoland

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