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A dynamic modeling approach to highway sustainability: Strategies to reduce overall impact

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  • Egilmez, Gokhan
  • Tatari, Omer

Abstract

The need for sustainable development is increasing as the industrial and service activities keep putting such a strain on the natural functions of the Earth, thus the ability of the planet’s to sustain future generations. Since most of the industrial and service activities are provided via transportation, it is one of the most crucial elements of sustainable development. In this paper, US highway system sustainability problem is studied. System dynamics modeling approach is employed due to the causal relationships and feedback loops that are observed in the problem structure. The reference mode is considered as the increasing CO2 emission trend. The objective is to meet the Liberman and Warner Climate Act’s targets by 2050. Three potential strategies for policy making are tested with the developed dynamic simulation: fuel efficiency, public transportation and electric vehicle usage. The results indicate that hybrid implementation of individual policies has a crucial impact on the success of policy making.

Suggested Citation

  • Egilmez, Gokhan & Tatari, Omer, 2012. "A dynamic modeling approach to highway sustainability: Strategies to reduce overall impact," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(7), pages 1086-1096.
  • Handle: RePEc:eee:transa:v:46:y:2012:i:7:p:1086-1096
    DOI: 10.1016/j.tra.2012.04.011
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    References listed on IDEAS

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    1. repec:wbk:wbpubs:7524 is not listed on IDEAS
    2. Kunsch, P. & Springael, J., 2008. "Simulation with system dynamics and fuzzy reasoning of a tax policy to reduce CO2 emissions in the residential sector," European Journal of Operational Research, Elsevier, vol. 185(3), pages 1285-1299, March.
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    2. Mengqi Zhao & Ziyao Wang & Liang Li, 2026. "Carbon sequestration service supply–demand dynamics in Beijing-Tianjin-Hebei urban agglomeration: implications from future SSP–RCP scenarios," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 31(3), pages 1-24, March.
    3. Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), 2015. "Sustainability in Logistics and Supply Chain Management: New Designs and Strategies," Proceedings of the Hamburg International Conference of Logistics (HICL), Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management, volume 21, number 21.
    4. Erma Suryani & Rully Agus Hendrawan & Phillip Faster Eka Adipraja & Basuki Widodo & Alifia Az Zahra & Shuo-Yan Chou, 2025. "A Model to Improve Workability of Transport Systems," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(1), pages 981-1013, January.
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    6. Minaei, Negin, 2014. "Do modes of transportation and GPS affect cognitive maps of Londoners?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 162-180.
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    10. Iddio, E. & Wang, L. & Thomas, Y. & McMorrow, G. & Denzer, A., 2020. "Energy efficient operation and modeling for greenhouses: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 117(C).
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    13. Liu, Xianmei & Peng, Rui & Zhong, Chao & Wang, Mingyue & Guo, Pibin, 2021. "What drives the temporal and spatial differences of CO2 emissions in the transport sector? Empirical evidence from municipalities in China," Energy Policy, Elsevier, vol. 159(C).
    14. Cagliano, Anna Corinna & Mangano, Giulio & Rafele, Carlo & Zenezini, Giovanni, 2015. "Assessing the Diffusion of a City Logistics System Based on Low Emission Vehicles," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Sustainability in Logistics and Supply Chain Management: New Designs and Strategies. Proceedings of the Hamburg International Conference of Logistics , volume 21, pages 229-258, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    15. Andrea Di Ronco & Francesca Giacobbo & Antonio Cammi, 2020. "A Kalman Filter-Based Approach for Online Source-Term Estimation in Accidental Radioactive Dispersion Events," Sustainability, MDPI, vol. 12(23), pages 1-19, November.
    16. Gerard Olivar-Tost & Johnny Valencia-Calvo & Julián Andrés Castrillón-Gómez, 2020. "Towards Decision-Making for the Assessment and Prioritization of Green Projects: An Integration between System Dynamics and Participatory Modeling," Sustainability, MDPI, vol. 12(24), pages 1-23, December.
    17. Ozgur M. Araz & Fernando A. Wilson & Jim P. Stimpson, 2020. "Complex systems modeling for evaluating potential impact of traffic safety policies: a case on drug-involved fatal crashes," Annals of Operations Research, Springer, vol. 291(1), pages 37-58, August.
    18. Marta Bottero & Giulia Datola & Elena De Angelis, 2020. "A System Dynamics Model and Analytic Network Process: An Integrated Approach to Investigate Urban Resilience," Land, MDPI, vol. 9(8), pages 1-26, July.
    19. Kucukvar, Murat & Cansev, Bunyamin & Egilmez, Gokhan & Onat, Nuri C. & Samadi, Hamidreza, 2016. "Energy-climate-manufacturing nexus: New insights from the regional and global supply chains of manufacturing industries," Applied Energy, Elsevier, vol. 184(C), pages 889-904.
    20. Lu, Yujie & Chang, Ruidong & Lim, Suxann, 2018. "Crowdfunding for solar photovoltaics development: A review and forecast," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 439-450.
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