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Researchers have published a comprehensive report on private- and public-sector Big Data policies affecting transport in EU countries and abroad.
As the global population becomes increasingly urbanised, cities grow more congested. As a consequence, the travel behaviour and transport preferences of city dwellers are changing. Transport researchers and policymakers are therefore faced with numerous challenges as they strive to create efficient, safe and sustainable transportation systems.
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In order to address these issues, the EU-funded project LeMO has been launched to explore the opportunities provided by Big Data in the field of transport research. It will be investigating the implications of using Big Data to enhance the European transport sector's economic sustainability and competitiveness. Big Data applications in the transport sector have received a lot of interest at national and EU level, both for their potential to drive future economic growth and because of the data privacy concerns surrounding them. Big Data will be analysed mainly with respect to five aspects of transport: mode (air, rail, road, urban, water and multimodal), sector (passenger and freight), technology, policy, and evaluation (long-term perspectives and economic, environmental and social impacts).
As part of initial investigations conducted during the first phase of the project, LeMO partners have published a comprehensive report on Big Data policies in transport. The report takes a look at current private- and public-sector policies adopted to further agendas on Big Data in the transport sector. There are public policies...
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