Recursive expected conditional value at risk in the fleet renewal problem with alternative fuel vehicles
dc.contributor.author | Ansaripoor, Amir Hossein | |
dc.contributor.author | Oliveira, F. | |
dc.contributor.author | Liret, A. | |
dc.date.accessioned | 2017-01-30T11:32:53Z | |
dc.date.available | 2017-01-30T11:32:53Z | |
dc.date.created | 2016-02-15T19:30:19Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | Ansaripoor, A. and Oliveira, F. and Liret, A. 2016. Recursive expected conditional value at risk in the fleet renewal problem with alternative fuel vehicles. Transportation Research Part C: Emerging Technologies. 65: pp. 156-171. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/12798 | |
dc.identifier.doi | 10.1016/j.trc.2015.12.010 | |
dc.description.abstract |
We study the fleet portfolio management problem faced by a firm deciding which alternative fuel vehicles (AFVs) to choose for its fleet to minimise the weighted average of cost and risk, in a stochastic multi-period setting. We consider different types of technology and vehicles with heterogeneous capabilities. We propose a new time consistent recursive risk measure, the Recursive Expected Conditional Value at Risk (RECVaR), which we prove to be coherent. We then solve the problem for a large UK based company, reporting how the optimal policies are affected by risk aversion and by the clustering for each type of vehicle. | |
dc.publisher | Pergamon Press | |
dc.title | Recursive expected conditional value at risk in the fleet renewal problem with alternative fuel vehicles | |
dc.type | Journal Article | |
dcterms.source.volume | - | |
dcterms.source.issn | 1879-2359 | |
dcterms.source.title | Transportation Research Part C: Emerging Technologies | |
curtin.department | School of Information Systems | |
curtin.accessStatus | Fulltext not available |
Files in this item
Files | Size | Format | View |
---|---|---|---|
There are no files associated with this item. |