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An integrated transportation decision support system for transportation policy decisions: The case of Turkey

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  • Ülengin, Füsun
  • Önsel, Sule
  • Ilker Topçu, Y.
  • Aktas, Emel
  • Kabak, Özgür

Abstract

From the point of view of the feasibility of providing growth in road capacity parallel to the predicted growth in traffic as well in terms of impact on the environment and health, current trends in transportation are unsustainable. Transport problems are expected to worsen due to the fact that worldwide automobile ownership tripled between 1970 and 2000, and the movement of goods is projected to increase by 50% by 2010. Similar trends can be seen in an even more dramatic way in Turkey. The Turkish transport network has not followed a planned growth strategy, due to political factors. There is no transportation master plan which aims to integrate the transport modes in order to provide a balanced, multimodal system. This study proposes a decision support system that guides transportation policy makers in their future strategic decisions and facilitates analysis of the possible consequences of a specific policy on changing the share of transportation modes for both passenger and freight transportation. For this purpose, based on the wide spectrum of critical issues encountered in the transportation sector, several scenarios have been built and analysed.

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  • Ülengin, Füsun & Önsel, Sule & Ilker Topçu, Y. & Aktas, Emel & Kabak, Özgür, 2007. "An integrated transportation decision support system for transportation policy decisions: The case of Turkey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(1), pages 80-97, January.
    • Handle: RePEc:eee:transa:v:41:y:2007:i:1:p:80-97
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    1. Nadkarni, Sucheta & Shenoy, Prakash P., 2001. "A Bayesian network approach to making inferences in causal maps," European Journal of Operational Research, Elsevier, vol. 128(3), pages 479-498, February.
    2. Hruschka, Harald, 1993. "Determining market response functions by neural network modeling: A comparison to econometric techniques," European Journal of Operational Research, Elsevier, vol. 66(1), pages 27-35, April.
    3. Schafer, Andreas & Victor, David G., 2000. "The future mobility of the world population," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(3), pages 171-205, April.
    4. Swanson, Norman R. & White, Halbert, 1997. "Forecasting economic time series using flexible versus fixed specification and linear versus nonlinear econometric models," International Journal of Forecasting, Elsevier, vol. 13(4), pages 439-461, December.
    5. Hwarng, H. Brian & Ang, H. T., 2001. "A simple neural network for ARMA(p,q) time series," Omega, Elsevier, vol. 29(4), pages 319-333, August.
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    8. Chowdhury, Subeh & Hadas, Yuval & Gonzalez, Vicente A. & Schot, Bart, 2018. "Public transport users' and policy makers' perceptions of integrated public transport systems," Transport Policy, Elsevier, vol. 61(C), pages 75-83.
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    12. Merkert, Rico & Beck, Matthew J., 2020. "Can a strategy of integrated air-bus services create a value proposition for regional aviation management?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 527-539.
    13. Chowdhury, Subeh & Ceder, Avishai (Avi), 2016. "Users’ willingness to ride an integrated public-transport service: A literature review," Transport Policy, Elsevier, vol. 48(C), pages 183-195.
    14. Ülengin, Füsun & Özaydın, Özay & Ülengin, Burç & Kopp, Andreas & Önsel, Şule & Kabak, Özgür & Aktaş, Emel, 2013. "Are road transportation investments in line with demand projections? A gravity-based analysis for Turkey," Transport Policy, Elsevier, vol. 29(C), pages 227-235.
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