TY - GEN
T1 - An integrated decision support aid for the strategic transportation master plan of Turkey
AU - Ülengin, Füsun
AU - Sahin, Sule Önsel
AU - Ilker Topçu, Y.
AU - Aktas, Emel
AU - Kabak, Özgür
PY - 2005
Y1 - 2005
N2 - This paper proposes and uses a decision support aid in order to guide the transportation planners and policy makers. The development phase of the model consists of the following steps: 1) specification of the relevant variables influencing transportation demand for different modes of transportation (both passenger and freight), 2) Initial development of the causal map of the transportation system through the investigation of past data (both econometric techniques and Artificial Neural Network (ANN) are used at this stage) 3) Giving the final structure to the causal map through the subjective judgments of the transportation experts 4) Calculation of the conditional probabilities using Bayesian Causal Maps, 5) Development and Analysis of scenarios. Developed as such, the proposed integrated decision support model is used to analyze the interrelation between the socio-economic and transportation variables and facilitates the projection for the future freight and passenger traffic of Turkey. This model constitutes, in fact, a section in the report of "Strategy Development for the Transportation Master Plan of Turkey", which was prepared for the Turkish Ministry of Transportation.
AB - This paper proposes and uses a decision support aid in order to guide the transportation planners and policy makers. The development phase of the model consists of the following steps: 1) specification of the relevant variables influencing transportation demand for different modes of transportation (both passenger and freight), 2) Initial development of the causal map of the transportation system through the investigation of past data (both econometric techniques and Artificial Neural Network (ANN) are used at this stage) 3) Giving the final structure to the causal map through the subjective judgments of the transportation experts 4) Calculation of the conditional probabilities using Bayesian Causal Maps, 5) Development and Analysis of scenarios. Developed as such, the proposed integrated decision support model is used to analyze the interrelation between the socio-economic and transportation variables and facilitates the projection for the future freight and passenger traffic of Turkey. This model constitutes, in fact, a section in the report of "Strategy Development for the Transportation Master Plan of Turkey", which was prepared for the Turkish Ministry of Transportation.
KW - Artificial neural network (ANN)
KW - Bayesian causal maps
KW - Integrated decision support system
KW - Scenario analysis
KW - Transportation planning
KW - Turkey
UR - http://www.scopus.com/inward/record.url?scp=84886938272&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84886938272
SN - 9755612653
SN - 9789755612652
T3 - Proceedings of the 35th International Conference on Computers and Industrial Engineering, ICC and IE 2005
SP - 2031
EP - 2034
BT - Proceedings of the 35th International Conference on Computers and Industrial Engineering, ICC and IE 2005
T2 - 35th International Conference on Computers and Industrial Engineering, ICC and IE 2005
Y2 - 19 June 2005 through 22 June 2005
ER -