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Proceedings Paper

Time-space and cognition-space transformations for transportation network analysis based on multidimensional scaling and self-organizing map
Author(s): Zixuan Hong; Fuling Bian
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Paper Abstract

Geographic space, time space and cognition space are three fundamental and interrelated spaces in geographic information systems for transportation. However, the cognition space and its relationships to the time space and geographic space are often neglected. This paper studies the relationships of these three spaces in urban transportation system from a new perspective and proposes a novel MDS-SOM transformation method which takes the advantages of the techniques of multidimensional scaling (MDS) and self-organizing map (SOM). The MDS-SOM transformation framework includes three kinds of mapping: the geographic-time transformation, the cognition-time transformation and the time-cognition transformation. The transformations in our research provide a better understanding of the interactions of these three spaces and beneficial knowledge is discovered to help the transportation analysis and decision supports.

Paper Details

Date Published: 5 November 2008
PDF: 9 pages
Proc. SPIE 7144, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: The Built Environment and Its Dynamics, 71443C (5 November 2008); doi: 10.1117/12.812870
Show Author Affiliations
Zixuan Hong, Wuhan Univ. (China)
Fuling Bian, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 7144:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: The Built Environment and Its Dynamics

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