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System dynamic modeling of CO2 emissions and pollutants from passenger cars in Malaysia, 2040

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Abstract

Transportation sector is the second largest producer of greenhouse gas in Malaysia next to energy sector. It contributes to nearly 28 % of annual national carbon emissions due to its heavy dependency of hydrocarbons such as gasoline. If not properly managed, carbon dioxide emissions per capita are expected to nearly double in the next 5 years. Lack of interdisciplinary study on this sector has caused proper mitigation initiatives to be delayed, compounding the damage to the ecosystem. The objective of this study is to develop a dynamic probabilistic model to determine emissions and pollutants of transportation system in Malaysia using Analytica software, with focus on passenger cars for its large number over other vehicle classes. Several vehicle fleet management policies based on several key governmental, industrial and stakeholder’s intervention have been constructed and analyzed for a period of 25 years. This analysis found that greenhouse gas emissions and pollutants in 2040 can be reduced by up to 80 %, compared to emissions of 2020, without any adverse effect on vehicle demand nor the economy. However, without proper intervention, personal transportation system in Malaysia will generate nearly 80,000 kilotons of greenhouse gas annually by the year 2040.

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Adapted from the World Bank (2016)

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References

  • Ackah I, Adu F (2014) Modelling gasoline demand in ghana: a structural time series analysis. Int J Energy Econ Policy 4:76–82

    Google Scholar 

  • Ang JB (2008) Economic development, pollutant emissions and energy consumption in Malaysia. J Policy Model 30:271–278. doi:10.1016/j.jpolmod.2007.04.010

    Article  Google Scholar 

  • Archer D (2009) The long thaw. Princeton University Press, Princeton

    Google Scholar 

  • Azam M, Othman J et al (2015) Energy consumption and emission projection for the road transport sector in Malaysia: an application of the LEAP model. Environ Dev Sustain. doi:10.1007/s10668-015-9684-4

    Google Scholar 

  • Azmi M, Saman M, Sharif S et al (2013) Proposed framework for end-of-life vehicle recycling system implementation in Malaysia. In: 11th global conference on sustainable manufacturing. Berlin, Germany, pp 188–194

  • Balaguer J, Cantavella M (2016) Estimating the environmental Kuznets curve for Spain by considering fuel oil prices (1874–2011). Ecol Indic 60:853–859. doi:10.1016/j.ecolind.2015.08.006

    Article  Google Scholar 

  • Börjesson M, Ahlgren EO (2012) Assessment of transport fuel taxation strategies through integration of road transport in an energy system model-the case of Sweden. Int J Energy Res 36:648–669. doi:10.1002/er.1824

    Article  Google Scholar 

  • Borken-Kleefeld J, Chen Y (2015) New emission deterioration rates for gasoline cars—results from long-term measurements. Atmos Environ 101:58–64. doi:10.1016/j.atmosenv.2014.11.013

    Article  CAS  Google Scholar 

  • Boulter PG (2009) Emission factors 2009: report 6—deterioration factors and other modelling assumptions for road vehicles; PPR359

  • Chen M (2005) End-of-life vehicle recycling in China: now and the future. JOM 57:20–26. doi:10.1007/s11837-005-0146-6

    Article  Google Scholar 

  • Coada A, de Haan P, Woersdorfera JS (2009) Consumer support for environmental policies: an application to purchase of green cars. Methodol Adv Footpr Anal 68:2078–2086

    Google Scholar 

  • Cobb J (2016) Norway Aiming for 100-percent zero emission vehicle sales by 2025. http://www.hybridcars.com/. http://www.hybridcars.com/norway-aiming-for-100-percent-zero-emission-vehicle-sales-by-2025/. Accessed 23 Apr 2016

  • de Jong G, Gunn H (2001) Recent evidence on car cost and time elasticities of travel demand in Europe. J Transp Econ Policy 35:137–160

    Google Scholar 

  • Energy Commission (2015) Malaysia energy statistics handbook 2015. Putrajaya

  • European Comissions (2015) EDGAR—emission database for global atmospheric research. In: European commission, joint research centre. http://edgar.jrc.ec.europa.eu/overview.php?v=CO2ts1990-2014. Accessed 20 Apr 2016

  • Ford A (2010) Modeling the environment, 2nd edn. Island Press, Washington

    Google Scholar 

  • Hafemeister D, Levi B, Levine M, Schwartz P (2008) American physical society physics of sustainable energy at UC, Berkeley, March 1–2, 2008 opening talk by Steve Chu, director of Lawrence Berkeley National Laboratory; associated paper: (Chu, S., Chapter 1, Science of Photons to Fuels)

  • Higuchi Y, Wada N, Nakakubo T, Tokai A (2012) Scenario analysis on the impact of diffusion of next generation vehicles on material consumption and GHG emissions. In: Matsumoto M, Umeda Y, Masui K, Fukushige S (eds) Design for innovative value towards a sustainable society. Springer, Netherlands, pp 598–603

    Google Scholar 

  • Hosseini SE, Wahid MA, Aghili N (2013) The scenario of greenhouse gases reduction in Malaysia. Renew Sustain Energy Rev 28:400–409. doi:10.1016/j.rser.2013.08.045

    Article  Google Scholar 

  • Huo H, Wang M (2012) Modeling future vehicle sales and stock in China. Energy Policy 43:17–29. doi:10.1016/j.enpol.2011.09.063

    Article  Google Scholar 

  • Huo H, Wang M, Zhang X et al (2012) Projection of energy use and greenhouse gas emissions by motor vehicles in China: policy options and impacts. Energy Policy 43:37–48. doi:10.1016/j.enpol.2011.09.065

    Article  Google Scholar 

  • Ibnu Susanto J, Tokai A, Nakakubo T (2013) System dynamics model development for evaluation of the moratorium policy on new forest and peatland concessions under bilateral cooperation in Indonesia: palm oil industry sector case study. J Sustain Energy Environ 4:159–170

    Google Scholar 

  • International Energy Agency (2015) CO2 emissions from fuel combustion: highlights. Paris

  • IPCC (2006) 2006 IPCC guidelines for national greenhouse gas inventories. Main 2:12. http://www.ipcc-nggip.iges.or.jp/public/2006gl/pdf/2_Volume2/V2_3_Ch3_Mobile_Combustion.pdf

  • Jacobsen MR, van Benthem AA (2013) Vehicle scrappage and gasoline policy. Cambridge

  • Japan Automobile Manufacturers Association Incorporated (2015) The motor industry of Japan 2015. Tokyo

  • Kamarudin SK, Daud WRW, Yaakub Z et al (2009) Synthesis and optimization of future hydrogen energy infrastructure planning in Peninsular Malaysia. Int J Hydrogen Energy 34:2077–2088. doi:10.1016/j.ijhydene.2008.12.086

    Article  CAS  Google Scholar 

  • Kasipillai J, Chan P (2008) Travel demand management: lessons for Malaysia. J Public Transp 11:41–55

    Article  Google Scholar 

  • KeTTHA (2013) KeTTHA annual report 2013

  • Kojima N, Tokai A, Nakakubo T, Nagata Y (2016) Policy evaluation of vehicle exhaust standards in Japan from 1995 to 2005 based on two human health risk indices for air pollution and global warming. Environ Syst Decis. doi:10.1007/s10669-015-9582-1

    Google Scholar 

  • Lakshmanan TR, Han X (1997) Factors underlying transportation CO2 emissions in the USA: a decomposition analysis. Transp Res Part D Transp Environ 2:1–15. doi:10.1016/S1361-9209(96)00011-9

    Article  Google Scholar 

  • MacCarthy J, Thomas J, Choudrie S et al (2008) UK greenhouse gas inventory, 1990 to 2008: annual report for submission under the Framework Convention on Climate Change. Oxfordshire

  • Ministry of Transportation Malaysia (2015) Transport statistics 2000–2014 (Report Compilation). Putrajaya

  • Mohd Jawi Z, Lamin F, Abdul Manap AR et al (2012) Review of the national automotive policy on car maintenance issues: Malaysia’s automotive ecosystem explained, MRev 02/20. Malaysian Institute of Road Safety Research (MIROS), Kuala Lumpur

  • Mustapa SI, Bekhet HA (2015) Investigating factors affecting CO2 emissions in Malaysian road transport sector. Int J Energy Econ Policy 5:1073–1083

    Google Scholar 

  • Ntziachristos L, Samaras Z, Kouridis C et al (2014) EMEP/EEA air pollutant emission inventory guidebook 2013. EEA Publ. doi:10.2800/92722

    Google Scholar 

  • Olivier JGJ, Janssens-Maenhout G, Muntean M, Peters JAHW (2015) Trends in global CO2 emissions: 2015 report. European Commission`s Joint Research Centre, PBL Netherlands Environmental Assessment Agency, The Hague. http://edgar.jrc.ec.europa.eu/news_docs/jrc-2015-trends-in-global-co2-emissions-2015-report-98184.pdf

  • Ong HC, Mahlia TMI, Masjuki HH (2011) A review on emissions and mitigation strategies for road transport in Malaysia. Renew Sustain Energy Rev 15:3516–3522. doi:10.1016/j.rser.2011.05.006

    Article  CAS  Google Scholar 

  • Ong HC, Mahlia TMI, Masjuki HH (2012) A review on energy pattern and policy for transportation sector in Malaysia. Renew Sustain Energy Rev 16:532–542. doi:10.1016/j.rser.2011.08.019

    Article  Google Scholar 

  • Pasaoglu G, Honselaar M, Thiel C (2012) Potential vehicle fleet CO2 reductions and cost implications for various vehicle technology deployment scenarios in Europe. Energy Policy 40:404–421. doi:10.1016/j.enpol.2011.10.025

    Article  CAS  Google Scholar 

  • Rafique MZ, Rahman MNA, Saibani N et al (2016) Quality check for customer benefit in bus transport system through statistical control charts and gauge R & R. Int J Appl Eng Res 11:101–104

    Google Scholar 

  • Rahim KA (2014) Towards low carbon economy via carbon intensity reduction in Malaysia. J Econ Sustain Dev 5:123–133

    Google Scholar 

  • Salem A, Atiq R, Jaafar O (2011) An overview of urban transport in Malaysia. Soc Sci 6:24–33. doi:10.3923/sscience.2011.24.33

    Google Scholar 

  • Shabadin A, Johari NM, Jamil HM (2014) Car annual vehicle kilometer travelled estimated from car manufacturer data—an improved method. In: World research & innovation convention on engineering & technology 2014. Federation of engineering institution of Islamic countries, Putrajaya

  • Shamsudin S, Minhans A, Puan OC (2014) Assessment of greenhouse gas emission reduction measures in transportation sector of Malaysia. J Teknol 4:1–8

    Google Scholar 

  • Sterman J (2000) Business dynamics: systems thinking and modeling for a complex world. Irwin/McGraw-Hill

  • Tamrin S (2015) SPAD to moot contract system for stage buses in transport overhaul | Malaysia | Malay Mail Online. http://www.themalaymailonline.com/malaysia/article/spad-to-moot-contract-system-for-stage-buses-in-transport-overhaul. Accessed 20 Apr 2016

  • The World Bank (2016) World development indicators: trends in greenhouse gas emissions. http://wdi.worldbank.org/table/3.9#. Accessed 10 Sep 2016

  • Thiel C, Perujo A, Mercier A (2010) Cost and CO2 aspects of future vehicle options in Europe under new energy policy scenarios. Energy Policy 38:7142–7151. doi:10.1016/j.enpol.2010.07.034

    Article  Google Scholar 

  • Thomas D (2003) What is food decision? Criteria for environmental decision making. Hum Ecol Rev 10:33–39

    Google Scholar 

  • Timilsina GR, Shrestha A (2009) Transport sector CO2 emissions growth in Asia: underlying factors and policy options. Energy Policy 37:4523–4539. doi:10.1016/j.enpol.2009.06.009

    Article  Google Scholar 

  • UK Vehicle Certification Agency (2016) Car fuel data, CO2 and vehicle tax. In: United Kingdom Veh. Certif. Agency. http://carfueldata.direct.gov.uk/. Accessed 21 Mar 2016

  • UNCCC (2015) Paris tracker: who pledged what for 2015 UN climate pact? | Climate Home—climate change news. In: United Nations Conv. Clim. Chang. http://www.climatechangenews.com/2015/03/10/paris-tracker-who-has-pledged-what-for-2015-un-climate-pact/. Accessed 20 Apr 2016

  • US Department of State (2014) US climate action report 2014. United Nations Conv Clim Chang 310

  • U.S. Environmental Protection Agency (2016) Inventory of US greenhouse gas emissions and sinks: 1990–2014. Washington

  • van Wee B, Rietveld P, Meurs H (2006) Is average daily travel time expenditure constant? In search of explanations for an increase in average travel time. J Transp Geogr 14:109–122. doi:10.1016/j.jtrangeo.2005.06.003

    Article  Google Scholar 

  • Wang Y, Teter J, Sperling D (2011) China’s soaring vehicle population: even greater than forecasted? Energy Policy 39:3296–3306. doi:10.1016/j.enpol.2011.03.020

    Article  Google Scholar 

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Acknowledgments

The authors would like to thank Majlis Amanah Rakyat (MARA Malaysia) for providing financial support for this project. The funder has neither conflict of interest nor any influence over any stage of this manuscript’s production. The authors are grateful to the associate editor and the two anonymous reviewers for their insightful comments and suggestions. Also, extension of thanks to Ibnu Susanto for his helpful comments.

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Authors and Affiliations

  1. Division of Sustainable Energy and Environmental Engineering, Graduate School of Engineering, Osaka University, 2-1 Yamadaoka, Suita, 565-0871, Osaka, Japan

    Muhammad Azmi & Akihiro Tokai

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  1. Muhammad Azmi
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  2. Akihiro Tokai
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Correspondence to Muhammad Azmi.

Appendices

Appendix 1

See Table 3.

Appendix 2

See Table 4.

Table 4 Distribution of vehicle engine size
Full size table

Appendix 3

See Table 5.

Table 5 Malaysia energy generation plan until 2040.
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Appendix 4

See Table 6.

Table 6 Emission factors for stationary combustion in the energy industries, IPCC (2006) guidelines; chapter 2: stationary combustion, kg of greenhouse gas per TJ on a net calorific basis
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Appendix 5

See Fig. 9.

Fig. 9
figure 9

Simplified view of model variables

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Azmi, M., Tokai, A. System dynamic modeling of CO2 emissions and pollutants from passenger cars in Malaysia, 2040. Environ Syst Decis 36, 335–350 (2016). https://doi.org/10.1007/s10669-016-9612-7

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