Raubal Receives 2007 Best Paper Award of the ISPRS Journal


Dr. Martin Raubal has received an award for Best Paper written for the International Society for Photogrammetry and Remote Sensing Journal in 2007. The paper will also qualify as an entry in the next competition for the highly prestigious U.V. Helava Award. To quote the Editor-in-Chief, ISPRS Journal of Photogrammetry and Remote Sensing:

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 1998 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 four-year 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 five-member 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 Raubal, Stephan Winter, Sven Teßmann, and 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

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