USING DECISION TREES FOR ESTIMATING MODE CHOICE OF TRIPS IN BUCA-IZMIR

Oral L. Ö., Tecim V.

29th International Annual Symposium of the Urban-Data-Management-Society (UDMS), London, Kanada, 29 - 31 Mayıs 2013, cilt.40-4-W1, ss.139-145 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 40-4-W1
  • Basıldığı Şehir: London
  • Basıldığı Ülke: Kanada
  • Sayfa Sayıları: ss.139-145
  • Anahtar Kelimeler: Transportation, Mode Choice, Data Mining, Classification, Data Structure, KNOWLEDGE DISCOVERY
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

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.