Page 22 - European Energy Innovation - Autumn 2015 publication
P. 22
Autumn 2015 European Energy Innovation



Joint effort of Hutchison Paris Optimal Planning division and Erasmus University Rotterdam shows
potential for reducing empty kilometers, fuel use and emissions in maritime container trucking.
By Larissa van der Lugt (pictured), Erasmus University Rotterdam, RHV-BV

BACKGROUND opportunities between hauliers ports, logistics and transport
Road freight transporters of by identifying possibilities for management.
maritime containers often carry triangulation, i.e., reloading
empty containers. The market is an import with an export, or BOXRELOAD’S KEY FEATURES
quite fragmented – both at supply reloading via depot. Boxreload finds opportunities
as at demand side - and the where a container with import
destination for an import order of This idea is further developed cargo that is being delivered
a haulier does not always match under the name of Boxreload, by one haulier can be re-used
an origin location of its export initiated by PARIS Optimal (‘reload’) for the collection of
orders. This means that containers Transport Planning division of an export cargo that is booked
need to be brought empty to the Hutchison Ports, based on the with another haulier. Typically,
port or the inland destination, PARIS planning system. The this would be two different
causing costs, fuel use and initiative has received support hauliers with two trucks and two
emissions that one preferably from the European Commission containers, each trip involving
avoids. by a TEN-T grant for a pilot project moving an empty container to/
and this is sponsored by the from a congested port area.
A solution can be found in Dutch Ministry of Infrastructure
increased collaboration between and Environment. For the pilot, The reloads are identified by a
road hauliers for the transport cooperation is established with completely ‘neutral transport
of maritime containers. The idea the Erasmus University Rotterdam, planner’: the PARIS real-time
is then to find collaboration that brings in its knowledge on automated planning engine,
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