Linking integrity with road pricing cause-and-effect model: A system dynamics simulation approach
DOI:
https://doi.org/10.15282/jgi.5.3.2022.8497Keywords:
Road Pricing, Traffic Congestion, Causal Loop Diagram, System Dynamics, Sustainable Transport, IntegrityAbstract
With Malaysia's rapid urbanisation and continuous improvement of living standards, vehicle ownership and trip volume continue to grow. Increases in motor traffic in large cities and their environs result in a number of social, environmental, and economic issues, which are frequently attributable to the widespread use of automobiles as the primary mode of urban transportation. This exacerbates traffic congestion on the country's highways, particularly in urban areas such as Kuala Lumpur. This traffic congestion poses an ongoing threat to the sustainability of transport development. Thus, by using the system dynamics, this study establishes a cause-and-effect relationship regarding the implementation of road pricing as a tool for reducing congestion and a stepping stone for enhancing sustainability. Road pricing is a direct charge assessed to drivers who use the road network with the goal of reducing the number of private vehicles on the road during peak hours. The developed Causal Loop Diagram (CLD) composed of five subsystems: road congestion, road attractiveness, new road construction, public transportation, and road pricing. The road congestion, new road construction, and road pricing all encounter mutual reinforcement as a result of a variety of negative polarities. As a result, authorities should place a greater emphasis on these loopholes, as they will inevitably result in unexpected changes. Additionally, by incorporating holistic perspectives from previous works and experts in the field, CLD can aid in identifying the primary factors underlying the problem being studied. In future work, the developed CLD should be extended to the next stage of the SD model, dubbed stock-flow-diagram (SFD).
References
Abulibdeh, A. (2020). Traffic congestion pricing: methodologies and equity implications. https://doi.org/10.5772/66569
Ahmarofi, A. A., Abidin, N. Z., & Ishak, M. K. (2021). Simulating the effect of the raw material preparation on the production completion time through a system dynamics model. Intelligent Manufacturing and Mechatronics, 1257–1266.
Ahmarofi, A. A., Kamaruzzaman, Z. A., Rahman, H. A., Masri, K. A., Rahim, N. A., Shariff, S. S. R., … Ahmad, A. B. (2021). Development of A Computer Simulation on Road Pricing Strategy to Reduce Congestion and Carbon Dioxide Emission: A System Dynamics Approach. 2021 6th IEEE International Conference on Recent Advances and Innovations in Engineering, ICRAIE 2021, 2021. https://doi.org/10.1109/ICRAIE52900.2021.9703987
Ahmarofi, A. A., Zainal Abidin, N., & Mahadzir, N. H. (2022). Simulating the Cycle Time Based on a Manpower Performance Through a System Dynamics Model: A Case Company in the Automotive Sector. Human-Centered Technology for a Better Tomorrow (pp. 515-523). Springer, Singapore.
Akbari, F., & Mahpour, A. (2020). Evaluation of Energy Consumption and CO2 Emission Reduction Policies for Urban Transport with System Dynamics Approach. Environmental Modeling & Assessment, Vol. 25, 505–520
Azizul, F. B., & Kamaruddin, D. B. (2021). An Empirical View of Business Ethics on Press Freedom: A Case Study. Journal of Governance and Integrity, 4(2), 125–134. https://doi.org/10.15282/jgi.4.2.2021.5865
Baranzini, A., Carattini, S., & Tesauro, L. (2021). Designing Effective and Acceptable Road Pricing Schemes: Evidence from the Geneva Congestion Charge. Environmental and Resource Economics (Vol. 79). Springer Netherlands. https://doi.org/10.1007/s10640-021-00564-y
Bernama. (2022). Congestion charges in KL, are we ready? Retrieved from https://www.thesundaily.my/local/congestion-charges-in-kl-are-we-ready-YX9275634
Croci, E. (2016). Urban road pricing : a comparative study on the experiences of London, Stockholm and Milan. Transportation Research Procedia, 14, 253–262. https://doi.org/10.1016/j.trpro.2016.05.062
Eliasson, J. (2009). Lessons from the Stockholm congestion charging trial, 15, 395–404. https://doi.org/10.1016/j.tranpol.2008.12.004
Federal Highway Administration. (2022). Congestion pricing: environmental benefits, 20590.
Ganesh, L. (2019). Can everyday traffic affect our mental health? Retrieved at 30 September 2022 from https://www.whiteswanfoundation.org/mental-health-matters/understanding-mental-health/can-everyday-traffic-affect-our-mental-health
Goh, M. (2002). Congestion management and electronic road pricing in Singapore. Journal of Transport Geography, 10(1), 29–38. https://doi.org/10.1016/S0966-6923(01)00036-9
Haron, H., Jamil, N. N., & Ramli, N. M. (2020). Western and Islamic Values and Ethics: Are They Different?. Journal of Governance and Integrity, 4(1), 12–28. https://doi.org/10.15282/jgi.4.1.2020.5609
Hong, D., & Wong, L. W. (2017). A study on smart mobility in Kuala Lumpur. Proceedings of the 2017 2nd International Conference on Computing and Communications Technologies, ICCCT 2017, 27–32. https://doi.org/10.1109/ICCCT2.2017.7972241
Iqbal, M., & Tri Anggraini, A. (2019). Public Service Innovation for Public Transportation to Disabilities by Difa City Tour, Yogyakar City. Journal of Governance and Integrity, 3(1), 44–49. https://doi.org/10.15282/jgi.3.1.2019.5421
Jayaraman, K., Leow, N. X., Asirvatham, D., & Chan, H. R. (2020). Conceptualization of an urban travel behavior model to mitigate air pollution for sustainable environmental development in Malaysia. Management of Environmental Quality: An International Journal, Vol. 31 No. 3, 785-799.
Khan, A. M. (2001). Reducing traffic density: The experience of Hong Kong and Singapore. Journal of Urban Technology, 8(1), 69–87. https://doi.org/10.1080/10630730120052181
Khosravi, S., Haghshenas, H., & Salehi, V. (2020). Macro-Scale Evaluation of Urban Transportation Demand Management Policies in CBD by Using System Dynamics Case Study : Isfahan CBD. Transportation Research Procedia, 48(2018), 2671–2689. https://doi.org/10.1016/j.trpro.2020.08.246
Knight, F. H. (1924). Some fallacies in the interpretation of social cost. The Quarterly Journal of Economics, 38(4), 582-606. https://doi.org/10.2307/1884592
Maria, B., Eliasson, J., Hugosson, M. B., & Brundell-freij, K. (2012). The Stockholm congestion charges — 5 years on . Effects , acceptability and lessons learnt, Transport Policy, Vol. 20, 1–12. https://doi.org/10.1016/j.tranpol.2011.11.001
Moyer, J. D., & Hedden, S. (2020). Are we on the right path to achieve the sustainable development goals?. World Development, 127, 104749.
McGuffog, T. (2018). Insights: How to Calculate the Most Valuable Answers: Developing Added Value Arithmetic. Journal of Governance and Integrity, 2(1), 1–3. https://doi.org/10.15282/jgi.2.1.2018.5532
Olszewski, P., & Xie, L. (2005). Modelling the effects of road pricing on traffic in Singapore. Transportation Research Part A: Policy and Practice. Vol. 39, Issues 7–9, 755-772. https://doi.org/10.1016/j.tra.2005.02.015
Pigou, A. C. (1920). The economics of welfare. Macmillan & Co, London.
Rajé, F., Tight, M., & Pope, F. D. (2018). Traffic pollution: A search for solutions for a city like Nairobi. Cities, 82, 100–107. https://doi.org/10.1016/j.cities.2018.05.008
Rez, L. (2019). Bottom-up modeling approach and mesoscopic simulations in traffic system dynamics models. https://doi.org/10.1177/0037549719869989
Richards, C. E., Lupton, R. C., & Allwood, J. M. (2021). Re-framing the threat of global warming: an empirical causal loop diagram of climate change, food insecurity and societal collapse. Climatic Change, 164(3), 1-19.
Rotaris, L., Danielis, R., Marcucci, E., & Massiani, J. (2010). The urban road pricing scheme to curb pollution in Milan , Italy : Description , impacts and preliminary cost – benefit analysis assessment. Transportation Research Part A, 44(5), 359–375. https://doi.org/10.1016/j.tra.2010.03.008
Salmon, P. M., Stanton, N. A., Walker, G. H., Hulme, A., Goode, N., Thompson, J., & Read, G. J. (2022). Causal Loop Diagrams (CLDs). Handbook of Systems Thinking Methods, 157-180. CRC Press.
Sterman, J. D. (2000). Business Dynamics: New Business Models for the Knowledge Economy. Routledge, London. https://doi.org/10.4324/9781351152723-7
Suryani, E., Hendrawan, R. A., Adipraja, P. F. E., Wibisono, A., & Dewi, L. P. (2019). Urban mobility modeling to reduce traffic congestion in Surabaya: a system dynamics framework. Journal of Modelling in Management, 16(1), 37–69. https://doi.org/10.1108/JM2-03-2019-0055
Suryani, E., Hendrawan, R. A., Adipraja, P. F. E., Wibisono, A., Widodo, B., & Indraswari, R. (2020). Modelling and simulation of transportation system effectiveness to reduce traffic congestion: a system dynamics framework. Transportation Planning and Technology, 43(7), 670–697. https://doi.org/10.1080/03081060.2020.1805543
Suryani, E., Hendrawan, R. A., Mukti, F. A., & Zahra, A. A.-. (2020). System Dynamics Model To Decrease Congestion Cost Using Transit-Oriented Development. MATTER: International Journal of Science and Technology, 6(2), 74–89. https://doi.org/10.20319/mijst.2020.62.7489
United Nations. (2018). 2018 revision of world urbanization prospects. Retrieved at 30 September 2022 from https://www.un.org/development/desa/publications/2018-revision-of-world-urbanization-prospects.html
Vafa-Arani, H., Jahani, S., Dashti, H., Heydari, J., & Moazen, S. (2014). A system dynamics modeling for urban air pollution: A case study of Tehran, Iran. Transportation Research Part D: Transport and Environment, 31, 21–36. https://doi.org/10.1016/j.trd.2014.05.016
Verhoef, B. E., Nijkamp, P., & Rietveld, P. (1995). Second-best Regulation of Road Transport Externalities, 29(2), 147–167.
Wan Husain, W. A. F. (2020). Insights: The Conceptual Framework for Building the World Class Good Governance Ethics. Journal of Governance and Integrity, 4(1), 1–5. https://doi.org/10.15282/jgi.4.1.2020.5606
Xue, Y., Cheng, L., Wang, K., An, J., & Guan, H. (2020). System Dynamics Analysis of the Relationship between Transit Metropolis Construction and Sustainable Development of Urban Transportation — Case Study of Nanchang City, China. MDPI.
Yang, H., & Huang, H. (2005). Mathematical and Economic Theory of Road Pricing. http:// 10.1108/9780080456713.
Yearworth, M. (2014). A Brief Introduction to System Dynamics Modelling. Reader in Engineering Systems. University of Bristol, 1–15.
Zefreh, M. M., Esztergar-Kiss, D., & Torok, A. (2021). Implications of different road pricing schemes in urban areas: A case study for Budapest. Proceedings of the Institution of Civil Engineers: Transport, 174(7), 407–418. https://doi.org/10.1680/jtran.19.00094
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