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Commenced in January 2007 Frequency: Monthly Edition: International Publications Count: 29024

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Deterministic Modelling to Estimate Economic Impact from Implementation and Management of Large Infrastructure
It is widely recognised that the assets portfolio development is helping to enhance economic growth, productivity and competitiveness. While numerous studies and reports certify the positive effect of investments in large infrastructure investments on the local economy, still, the methodology to estimate the contribution in economic development is a challenging issue for researchers and economists. The key question is how to estimate those economic impacts in each economic system. This paper provides a compact and applicable methodological framework providing quantitative results in terms of the overall jobs and income generated into the project life cycle. According to a deterministic mathematical approach, the key variables and the modelling framework are presented. The numerical case study highlights key results for a new motorway project in Greece, which is experienced economic stress for many years, providing the opportunity for comparisons with similar cases.
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[1] Dimitriou D., Mourmouris J., Sartzetaki M., (2015). Economic impact assessment of mega infrastructure projects, International Journal of Applied Economics, Vol. 47(40), pp. 4310-4322.
[2] Van Gils, M., & Klijn, E.-H. (2007). Complexity in decision making: The case of the Rotterdam harbour expansion. Connecting decisions, arenas and actors in spatial decision making, Planning Theory & Practice, 8(2), pp. 139–159.
[3] Dimitriou D., Sartzetaki M. and Mourmouris J., (2014). Quantitative Estimation of the Economic Impact from Investments in New Transport Infrastructure, Paper presented at the 21th Forecasting Financial Markets Conference, Marseilles France, 21-23 May 2014.
[4] Dimitriou D.,2017. Quantitative evaluation taxonomy for transport infrastructure projects, International Journal of research science and management, 4(3), ISSN: 2349-5197.
[5] Farhad M. (2015). Transport infrastructure and long-run economic growth in OECD countries, Journal of Transportation Research Part A: Policy & Practice, 74, 73-90.
[6] Dimitrios J. Dimitriou, Maria F. Sartzetaki. (2017). Decision Framework for developing transport logistics hub, International Journal of Engineering Sciences &Research Technology, Vol 6, Issue 1, pp 314-322.
[7] Dimitriou D. and Sartzetaki. M., (2016). Decision Framework for Cross-Border Railway Infrastructure Projects, World Academy of Science, Engineering and Technology, International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering, Vol:10, No:11, pp 3531-3536.
[8] Strohhecker, J., (2016). Factors influencing strategy implementation decisions: An evaluation of a balanced scorecard cockpit, intelligence, and knowledge, Journal of Management Control, 27 (1), pp. 89–119.
[9] Dong, Q.X., O. Cooper, (2016). A peer-to-peer dynamic adaptive consensus reaching model for the group AHP decision making, European Journal of Operational Research, Volume 250, Issue 2, pp 521-530.
[10] Żak, J., M. Kruszyński, (2015). Application of AHP and ELECTRE III/IV Methods to Multiple Level, Multiple Criteria Evaluation of Urban Transportation Projects, Transportation Research Procedia, Volume 10, pp.820-830.
[11] Reis Η. and Rua A., (2009). An Input–Output Analysis: Linkages versus Leakages, International Economics Journal, 23:4, 527—544.
[12] Dietzenbacher, E., M. Lenzen, B. Los, D. Guan, M.L. Lahr, F. Sancho, C. Yang, (2013). Input–output analysis: the next 25 years, Econ. Syst. Res., 25 (4), pp. 369–389.
[13] IMF, International Monetary Fund, (2014). Country report no.14/151, IMF, Washington, DC, accessed May 2016,
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