Paper at SoSE 2015: “Smart data-harnessing for financial value in short-term hire electric car schemes”

Last month we presented a paper at the 10th IEEE System of Systems Engineering Conference (SoSE 2015) in Texas, entitled: Smart data-harnessing for financial value in short-term hire electric car schemes. This paper is one of the outputs from a collaboration with the University of Bristol’s Systems Centre in the Faculty of Engineering (led by Theo Tryfonas), focusing on smart city infrastructure, big data and monitoring.

The abstract of the paper is below; you can read the full paper (or download a PDF) online:

Smart data-harnessing for financial value in short-term hire electric car schemes

Peter Cooper, Tom Crick and Theo Tryfonas

In the developed world, two distinct trends are emerging to shake-up the current dominance of privately-owned, combustion motor car transport. The first is the emergence of the electric powertrain for vehicles as an affordable and mass-marketed means of transport. This carries with it the potential to address many of the immediate shortcomings of the current paradigm, especially CO2 emissions, air and noise pollution. The second is the rise of new hire models of car ownership — the concept of paying for the use of a car as and when you need it. This carries with it the potential to address many of the existing issues: outlay-induced car use, residential parking and social division. On a similar timescale, we are witnessing the rise of smart technologies and smart cities, concepts that use data about the state of a system or elements of it to create value.

There have been relatively few examples of schemes that have combined the electric and hire-model concepts, despite the huge potential for synergy. Indeed, the majority is against them on both counts — cars are predominantly privately-owned and driven by internal combustion engines. Nevertheless, there is significant potential for this to change over the coming years.

Keywords: Electric Vehicles; Vehicle Hire Models; Smart Technologies; Smart Monitoring; Smart Cities; Big Data; Environmental Impact

DOI: 10.1109/SYSOSE.2015.7151928

 

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