Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-4/W1, 139-145, 2013
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-4-W1/139/2013/
doi:10.5194/isprsarchives-XL-4-W1-139-2013
© Author(s) 2013. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
06 May 2013
USING DECISION TREES FOR ESTIMATING MODE CHOICE OF TRIPS IN BUCA-IZMIR
L. O. Oral and V. Tecim Dept. of Econometrics, Graduate School of Social Sciences, Dokuz Eylul University, 35160 Buca, Izmir, Turkey
Dep. of Econometrics, Faculty of Economics and Administrative Sciences, Dokuz Eylul University, 35160 Buca, Izmir, Turkey
Keywords: Transportation, Mode Choice, Data Mining, Classification, Data Structure Abstract. Decision makers develop transportation plans and models for providing sustainable transport systems in urban areas. Mode Choice is one of the stages in transportation modelling. Data mining techniques can discover factors affecting the mode choice. These techniques can be applied with knowledge process approach. In this study a data mining process model is applied to determine the factors affecting the mode choice with decision trees techniques by considering individual trip behaviours from household survey data collected within Izmir Transportation Master Plan. From this perspective transport mode choice problem is solved on a case in district of Buca-Izmir, Turkey with CRISP-DM knowledge process model.
Conference paper (PDF, 1055 KB)


Citation: Oral, L. O. and Tecim, V.: USING DECISION TREES FOR ESTIMATING MODE CHOICE OF TRIPS IN BUCA-IZMIR, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-4/W1, 139-145, doi:10.5194/isprsarchives-XL-4-W1-139-2013, 2013.

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