IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v41y2007i1p80-97.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965-8564(06)00055-3
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Subeh Chowdhury & Avishai Ceder & Ripul Sachdeva, 2014. "The effects of planned and unplanned transfers on public transport users' perception of transfer routes," Transportation Planning and Technology, Taylor & Francis Journals, vol. 37(2), pages 154-168, March.
    2. Ülengin, Füsun & Kabak, Özgür & Önsel, Sule & Ülengin, Burç & Aktas, Emel, 2010. "A problem-structuring model for analyzing transportation-environment relationships," European Journal of Operational Research, Elsevier, vol. 200(3), pages 844-859, February.
    3. Haneen Abuzaid & Raghad Almashhour & Ghassan Abu-Lebdeh, 2024. "Driving towards Sustainability: A Neural Network-Based Prediction of the Traffic-Related Effects on Road Users in the UAE," Sustainability, MDPI, vol. 16(3), pages 1-22, January.
    4. Yu, Qing & Liu, Kezhong & Chang, Chia-Hsun & Yang, Zaili, 2020. "Realising advanced risk assessment of vessel traffic flows near offshore wind farms," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    5. Farhan Haider & Zia ur Rehman & Ammad Hassan Khan & Maryam Ilyas & Inamullah Khan, 2021. "Performance Evaluation of BRT Standard in Decision Support System for Integrated Transportation Policy," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
    6. Merkert, Rico & Bushell, James & Beck, Matthew J., 2020. "Collaboration as a service (CaaS) to fully integrate public transportation – Lessons from long distance travel to reimagine mobility as a service," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 267-282.
    7. Johanna Camargo Pérez & Martha Carrillo & Jairo Montoya-Torres, 2015. "Multi-criteria approaches for urban passenger transport systems: a literature review," Annals of Operations Research, Springer, vol. 226(1), pages 69-87, March.
    8. Rakowski, Franciszek & Gruziel, Magdalena & Bieniasz-Krzywiec, Łukasz & Radomski, Jan P., 2010. "Influenza epidemic spread simulation for Poland — a large scale, individual based model study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(16), pages 3149-3165.
    9. 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.
    10. 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.
    11. Santos, Lui­s & Coutinho-Rodrigues, João & Current, John R., 2008. "Implementing a multi-vehicle multi-route spatial decision support system for efficient trash collection in Portugal," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(6), pages 922-934, July.
    12. Bones, Emma J. & Barrella, Elise M. & Amekudzi, Adjo A., 2013. "Implementation of evidence-based design approaches in transportation decision making," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 317-328.
    13. 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.
    14. 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.
    15. A M Sharif & Z Irani & V Weerakkoddy, 2010. "Evaluating and modelling constructs for e-government decision making," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(6), pages 929-952, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Onsel Sahin, Sule & Ulengin, Fusun & Ulengin, Burc, 2004. "Using neural networks and cognitive mapping in scenario analysis: The case of Turkey's inflation dynamics," European Journal of Operational Research, Elsevier, vol. 158(1), pages 124-145, October.
    2. Önsel, Sule & Ülengin, Füsun & Ulusoy, Gündüz & Aktas, Emel & Kabak, Özgür & Topcu, Y. Ilker, 2008. "A new perspective on the competitiveness of nations," Socio-Economic Planning Sciences, Elsevier, vol. 42(4), pages 221-246, December.
    3. Önsel Ekici, Şule & Kabak, Özgür & Ülengin, Füsun, 2016. "Linking to compete: Logistics and global competitiveness interaction," Transport Policy, Elsevier, vol. 48(C), pages 117-128.
    4. Qi, Min & Yang, Sha, 2003. "Forecasting consumer credit card adoption: what can we learn about the utility function?," International Journal of Forecasting, Elsevier, vol. 19(1), pages 71-85.
    5. Hendry, David F. & Clements, Michael P., 2003. "Economic forecasting: some lessons from recent research," Economic Modelling, Elsevier, vol. 20(2), pages 301-329, March.
    6. Chen, Qitong & Hong, Yongmiao & Li, Haiqi, 2024. "Time-varying forecast combination for factor-augmented regressions with smooth structural changes," Journal of Econometrics, Elsevier, vol. 240(1).
    7. Phil Goodwin & Kurt Van Dender, 2013. "'Peak Car' - Themes and Issues," Transport Reviews, Taylor & Francis Journals, vol. 33(3), pages 243-254, May.
    8. Lahiri, Kajal & Yang, Liu, 2013. "Forecasting Binary Outcomes," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1025-1106, Elsevier.
    9. Terasvirta, Timo, 2006. "Forecasting economic variables with nonlinear models," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 8, pages 413-457, Elsevier.
    10. Ülengin, Füsun & Kabak, Özgür & Önsel, Sule & Aktas, Emel & Parker, Barnett R., 2011. "The competitiveness of nations and implications for human development," Socio-Economic Planning Sciences, Elsevier, vol. 45(1), pages 16-27, March.
    11. Tattini, Jacopo & Ramea, Kalai & Gargiulo, Maurizio & Yang, Christopher & Mulholland, Eamonn & Yeh, Sonia & Karlsson, Kenneth, 2018. "Improving the representation of modal choice into bottom-up optimization energy system models – The MoCho-TIMES model," Applied Energy, Elsevier, vol. 212(C), pages 265-282.
    12. Oscar Claveria & Salvador Torra, 2013. "“Forecasting Business surveys indicators: neural networks vs. time series models”," AQR Working Papers 201312, University of Barcelona, Regional Quantitative Analysis Group, revised Nov 2013.
    13. Poumanyvong, Phetkeo & Kaneko, Shinji & Dhakal, Shobhakar, 2012. "Impacts of urbanization on national transport and road energy use: Evidence from low, middle and high income countries," Energy Policy, Elsevier, vol. 46(C), pages 268-277.
    14. Souche, Stéphanie, 2009. "Un exemple d’estimation de la demande de transport urbain," Revue d'économie régionale et urbaine, Editions NecPlus, vol. 2009(04), pages 759-779, December.
    15. Szafranek, Karol, 2019. "Bagged neural networks for forecasting Polish (low) inflation," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1042-1059.
    16. repec:lan:wpaper:470 is not listed on IDEAS
    17. Sanjeev Prashar & Harvinder Singh & Chandan Parsad & T. Sai Vijay, 2017. "Predicting Indian Shoppers’ Malls Loyalty Behaviour," Vikalpa: The Journal for Decision Makers, , vol. 42(4), pages 234-250, December.
    18. De Iuliis, Melissa & Kammouh, Omar & Cimellaro, Gian Paolo & Tesfamariam, Solomon, 2021. "Quantifying restoration time of power and telecommunication lifelines after earthquakes using Bayesian belief network model," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    19. Lars-Erik Öller & Lasse Koskinen, 2004. "A classifying procedure for signalling turning points," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(3), pages 197-214.
    20. Longden, Thomas, 2016. "The Regularity and Irregularity of Travel: an Analysis of the Consistency of Travel Times Associated with Subsistence, Maintenance and Discretionary Activities," ET: Economic Theory 243150, Fondazione Eni Enrico Mattei (FEEM).
    21. Selima Sultana & Hyojin Kim & Nastaran Pourebrahim & Firoozeh Karimi, 2018. "Geographical Assessment of Low-Carbon Transportation Modes: A Case Study from a Commuter University," Sustainability, MDPI, vol. 10(8), pages 1-23, August.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transa:v:41:y:2007:i:1:p:80-97. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.