Best Paper 2007
The U.V. Helava Award, sponsored by Elsevier B.V. and Leica Geosystems GIS & Mapping, LLC is a prestigious ISPRS Award,
which was established in 1996 to encourage and stimulate submission of high quality scientific papers by individual authors or groups to the
ISPRS Journal, to promote and advertise the Journal, and to honour the outstanding contributions of Dr. Uuno V. Helava to research
and development in Photogrammetry and Remote Sensing.
The Award is presented to authors of the best paper, written in English and published exclusively in the ISPRS Journal during the fouryear
period from January of a Congress year, to December of the year prior to the next Congress. The Award consists of a monetary grant of SFr.
10,000 and a plaque. A five-member jury, comprising experts of high scientific standing, whose expertise covers the main topics
included in the scope of the Journal, evaluates the papers. For each year of the four-year evaluation period, the best paper is selected,
and among these four papers, the one to receive the U.V. Helava Award.
The third U.V. Helava Award will be presented at the 21th ISPRS Congress, Beijing, 3-11 July 2008. The fivemember jury appointed
by the ISPRS Council evaluated the 35 papers of Vol. 62 (2007) and announced its decision for the Best Paper. The winner of the 2007 Best Paper is:
Time geography for ad-hoc shared-ride trip planning in mobile geosensor networks
by Martin Raubal1,3, Stephan Winter2 Sven Teβmann3,4 and Christian Gaisbauer2
(1) Department of Geography, University of California at Santa Barbara, 5713 Ellison Hall, Santa Barbara, CA 93106-4060, U.S.A.
(2) Department of Geomatics, The University of Melbourne, VIC 3010, Australia
(3) Institute of Geoinformatics, University of Münster, 48149 Münster, Germany
(4) German Remote Sensing Data Center (DFD), German Aerospace Center (DLR), 82234 Wessling, Germany
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| Martin Raubal |
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Stephan Winter |
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Sven Teβmann |
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Christian Gaisbauer |
Jury's rationale for the paper selection
The paper provides an excellent discussion of a simulation model for shared-ride trip planning. It is very interesting to read and provides
a good overview on the usage of agents for trip planning. The theory development is solid. The authors demonstrated their proposed system with
a real street network, confirming their theoretical results.
On behalf of the ISPRS and the U.V. Helava Award jury, I would like to congratulate the authors for this distinction and thank them for
their contribution. I would also like to thank the sponsors of the Award, and the jury members for their thorough evaluations.
George Vosselman
Editor-in-Chief
ISPRS Journal of Photogrammetry and Remote Sensing
ITC, Enschede, the Netherlands