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ISPRS Int. J. Geo-Inf. 2016, 5(6), 84; doi:10.3390/ijgi5060084

GIS and Transport Modeling—Strengthening the Spatial Perspective

1
Interfaculty Department of Geoinformatics, Z_GIS, University of Salzburg, 5020 Salzburg, Austria
2
German Aerospace Center (DLR), Institute of Transport Research, 12489 Berlin, Germany
3
Austrian Institute of Technology, Giefinggasse 2, Vienna 1210, Austria
4
Institute of Geodesy, Graz University of Technology, 8010 Graz, Austria
*
Author to whom correspondence should be addressed.
Academic Editor: Wolfgang Kainz
Received: 19 April 2016 / Revised: 17 May 2016 / Accepted: 26 May 2016 / Published: 3 June 2016
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Abstract

The movement and transport of people and goods is spatial by its very nature. Thus, geospatial fundamentals of transport systems need to be adequately considered in transport models. Until recently, this was not always the case. Instead, transport research and geography evolved widely independently in domain silos. However, driven by recent conceptual, methodological and technical developments, the need for an integrated approach is obvious. This paper attempts to outline the potential of Geographical Information Systems (GIS) for transport modeling. We identify three fields of transport modeling where the spatial perspective can significantly contribute to a more efficient modeling process and more reliable model results, namely, geospatial data, disaggregated transport models and the role of geo-visualization. For these three fields, available findings from various domains are compiled, before open aspects are formulated as research directions, with exemplary research questions. The overall aim of this paper is to strengthen the spatial perspective in transport modeling and to call for a further integration of GIS in the domain of transport modeling. View Full-Text
Keywords: GIS; transport research; data; transport models; geo-visualization GIS; transport research; data; transport models; geo-visualization
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Loidl, M.; Wallentin, G.; Cyganski, R.; Graser, A.; Scholz, J.; Haslauer, E. GIS and Transport Modeling—Strengthening the Spatial Perspective. ISPRS Int. J. Geo-Inf. 2016, 5, 84.

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