An agent-based simulation to analyze trucking sector regulation policies

References

• Ahrweiler, P. 2016. “Agent-Based Simulation for Science, Technology, and Innovation Policy.” Scientometrics (Springer) 110 (1): 391–415. doi:10.1007/s11192-016-2105-0.
   Web of Science ®Google Scholar
• Aquila, G., E. de Oliveira Pamplona, J. A. F. Filho, A. S. da Silva, J. V. D. A. Mataveli, J. E. Correa, M. S. de Maria, and G. C. Garcia. 2019. “Quantitative Regulatory Impact Analysis: Experience of Regulatory Agencies in Brazil.“ Utilities Policy 59: doi:10.1016/j.jup.2019.100931.
   Web of Science ®Google Scholar
• Baindur, D., and J. M. Viegas. 2011. “An Agent Based Model Concept for Assessing Modal Share in Inter-Regional.” Journal of Transport Geography 19 (6): 1093–1105. doi:10.1016/j.jtrangeo.2011.05.006.
   Web of Science ®Google Scholar
• Boylaud, O., and G. Nicoletti. 2003. “Regulatory Reform in Road Freight.” OECD Economic Studies 32 (1): 229–251. doi:10.1787/eco_studies-v2001-art7-en.
   Google Scholar
• Can, C., and O. Zuhal. 2020. “Carbon Footprint Prediction of Vehicle Usage in Turkey.” Wiley Online Library. 10.1002/ghg.1980. March 26.
   Google Scholar
• Casullo, L., and N. Zhivov. 2017. Assessing Regulatory Changes in the Transport. Paris: International Transport Forum at the OECD.
   Google Scholar
• Commission, F. T. 2007. Trucking Deregulation in the United States. “Submission by the United States to the Ibero-American Competition Forum”. September. https://www.ftc.gov/sites/default/files/attachments/us-submissions-oecd-and-other-internationalcompetition-fora/ibero-trucking.pdf
   Google Scholar
• Davidsson, P., Henesey, L., Ramstedt, L., Törnquist, J., Wernstedt, F. 2005.“An analysis of agent-based approaches to transport logistics.“ Transportation Research Part C: Emerging Technologies 13: 255–271. doi:10.1016/j.trc.2005.07.002.
   Web of Science ®Google Scholar
• Dugan, M. T., E. H. Turner, M. A. Thompson, and S. M. Murray. 2017. ”Measuring the financial impact of environmental regulations on the trucking industry.” Research in Accounting Regulation 29: 152–158. doi:10.1016/j.racreg.2017.09.007.
   Google Scholar
• Government of South Australia. 2011. How to Design and Review Regulation, and Prepare a Regulatory Impact Statement. South Australian Department of the Premier and Cabinet and the Department of Treasury and Finance.
   Google Scholar
• Hunt, J. D., and K. J. Stefan. 2007 ”Tour-based microsimulation of urban commercial movements.” Transportation Research Part B: Methodological 41: 981–1013.
   Web of Science ®Google Scholar
• International Transportation Forum. 2011. Better Economic Regulation. 120. Paris: OECD Publishing. doi:10.1787/9789282103272-en.
   Google Scholar
• Jihanny, J., B. S. Subagio, and E. S. Hariyadi. 2018. “The Analysis of Overloaded Trucks in Indonesia Based on Weigh in Motion Data (East of Sumatra National Road Case Study).” MATEC Web of Conferences 147: 02006. doi:10.1051/matecconf/201814702006.
   Google Scholar
• Kaplan, R. M., D. A. Chambers, and R. E. Glasgow. 2014. “Big data and large sample size: a cautionary note on the potential for bias.”Clinical and translational science, 342–346. doi:10.1111/cts.12178.
   PubMed Web of Science ®Google Scholar
• Klugl, F. 2008. “A Validation Methodology for AgentBased.” Proceedings of the 2008 ACM symposium on Applied computing. Fortaleza, Ceara, Brazil. 39–43. Association for Computing Machinery. doi:10.1145/1363686.1363696.
   Google Scholar
• Office Transportation Data and Analytics. 2018. Truck Empty Backhaul. Florida: FDOT.
   Google Scholar
• Olaniyi, E. O., and M. Viirmäe. 2017. “The economic impact of environmental regulations on a maritime fuel production company.“ Research in Economics and Business: Central and Eastern Europe 8: 2.
   Google Scholar
• Ongkittikul, S. Geerlings, H. 2006.“Opportunities for innovation in public transport: Effects of regulatory reforms on innovative capabilities.“ Transport Policy: 283–293.
   Web of Science ®Google Scholar
• Owen, S. D. 1988. Deregulation in the Trucking Industry. Maryland, United States: Bureau of Economics, Federal Trade Commission.
   Google Scholar
• Palma, A. D., R. Lindsey, E. Quinet, and R. Vickerman. 2013. A Handbook of Transport Economics. USA: Edward Elgar Pub.
   Google Scholar
• Parker, C., Organisation for Economic Co-operation and Development. 2000. Reducing the Risk of Policy Failure: Challenges for Regulatory Compliance : Final Version OECD working papers. OECD. https://books.google.nl/books?id=kw/_tAAAAMAAJ
   Google Scholar
• Richiardi, M., R. Leombruni, N. J. Saam, and M. Sonnessa. 2006. “A Common Protocol for Agent-Based Social Simulation.” Journal of Artificial Societies and Social Simulation 9: 1.
   Web of Science ®Google Scholar
• Roorda, M. J., R. Cavalcante, S. McCabe, and H. Kwan. 2010. “A Conceptual Framework for Agent-Based Modelling of Logistics Services.” Transportation Research Part E 46 (1): 18–31. doi:10.1016/j.tre.2009.06.002.
   Google Scholar
• Sadek, A. W. 2007. “Artificial Intelligence Applications in Transportation.” Transportation research circular.
   Google Scholar
• Salas, A., B. Cases, and J. C. G. Palomares. 2019. “Value Chains of Road Freight Transport Operations: An Agent-Based Modeling Proposal.” Procedia Computer Science 151: 769–775. doi:10.1016/j.procs.2019.04.104.
   Google Scholar
• Sargent, R. G. 2004. “Validation and Verification of Simulation Models.” Proceedings of the 2004 Winter Simulation Conference. Washington, DC.
   Google Scholar
• Schröder, S., M. Zilske, G. Liedtke, and K. Nagel. 2012. “Computational framework for a multi-agent simulation of freight transport activities.“ Transportation Research Board 91st Annual Meeting, 2012-1-22 to 2012-1-26, Washington DC, United States. 4152.
   Google Scholar
• Thompson, J., S. Newnam, and M. Stevenson. 2015. “A model for exploring the relationship between payment structures, fatigue, crash risk, and regulatory response in a heavy vehicle transport system.“ Transportation Research Part A: Policy and Practice 82: 204–215. . doi:10.1016/j.tra.2015.09.016.
   Web of Science ®Google Scholar