Dynamic Vehicle Emissions Reduction with Technical and Behavioral Approach

This paper describes the case study of Semanggi intersection in Jakarta, a dynamic model of emission reduction in the land transportation sector. The urban transportation system is a complex system with multiple variables, feedback loops, and is influenced by social, economic and environmental factors. The proposed model consists of two submodels: Vehicle Fleet and Emission Calculation. The model runs in Powersim Studio software using data from the Indonesia Japan Economic Partnership Agreement, and the Traffic Management Centre of the Indonesian National Police. The test was conducted by developing two scenarios: Business As Usual and Intention. The estimated results to be obtained using the first scenario in 2021 should be 1,113,398 units, while the second scenario is estimated to produce 850,733 units. We hypothesize that the Intentional Approach will have a more significant impact than the Technical Approach, which requires more investment. The Intentional Approach is designed to improve the intention of private car users to switch to public transportation. The Technical Approach to the emission measurement of every vehicle in a certain area is the data of vehicle emission which are usually taken to determine the current condition. This research will no doubt have a positive impact on emission reduction in Jakarta.

Behavior; Dynamic model; Emission; Jakarta; Road transport

Ajzen, I., 1988. Attitudes, Personality, and Behaviour. Open University Press, Milton-Keynes, England, UK; Dorsey Press, Chicago, IL, USA

Ajzen, I., 1991. The Theory of Planned Behaviour. Organizational Behaviour and Human Decision Processes, Volume 50, pp. 179–211

Hafiyah, N., Soesetyo, S.R., 2011. Explaining Commuters’ Travel Behavior from Psychological Perspective: Studies of Behavioral Intention of Car Owners to Use Bus Rapid Transit in Jakarta. In: Proceedings of the 12th International Conference on Quality in Research (QiR) 2011, Bali, Indonesia

Han, J., Hayashi, Y., 2008. A System Dynamics Model of CO2 Mitigation in China’s Inter-city Passenger Transport. Transportation Research Part D, pp. 298–305

Hof, A.F., Michel, G.J., den Elzen, Roelfsema, M., 2013. The Effect of Updated Pledges and Business-as Usual Projections and New Agreed Rules on expected Global Greenhouse Gas Emissions in 2020. Environmental Science & Policy, Volume 33, pp. 308–319

IJ-EPA, Agency for the Assesment and Application of Technology (BPPT), 2011. Data-data Traffic Survey dan Pengujian Kendaraan, 2009-2011 [unpublished]

Lumbreras, J., Borge, R., Manuel de Andres, J., Rodriguez, E., 2015. A Model to Calculate Consistent Atmospheric Emission Projections and Its Application to Spain. Atmospheric Environment, Volume 42, pp. 5251–5266

National Police Headquarters Indonesia Traffic Corps, 2013. Repetition Data of Vehicle, Data Processed, Internal Report [unpublished]

Sterman, J.D., 2000. Business Dynamic: System Thinking and Modeling for a Complex World. Information Science Reference (an imprint of IGI Global), Hershey, PA, USA

Sugiarto, B., Soesetyo, S.R., Hafiyah, N., Syafrizal, M., Mauludi, F., Darsono, D., 2010. Studi Polusi Udara Jakarta dengan Pendekatan Intensi Masyarakat Pengguna Kendaraan Pribadi untuk Berpindah ke Bus Rapid Transit. Final Report, Hibah riset multidisiplin, DRPM Universitas Indonesia [in Bahasa]

Syafrizal, M., Bretagne, E., Hamani, N., Sugiarto, B., Moersidik, S.S., 2014. Exhaust Emissions and Behavior of Transportation Users in Jakarta: Analysis in the Case of the Semanggi intersection. In: Proceedings of the International Conference on Transport Research Arena 2014, Paris, April, France, pp. 14–17

Zhang, Q., Guojin, S., Fang, S., Tian, W., Li, X., Wang, H., 2013. Air Pollutant Emissions from Vehicles in China under Various Energy Scenarios. Science of the Total Environment, pp. 250–258

Zhao, W., Ren, H., Rotter, V.S., 2011. A System Dynamics Model for Evaluating the Alternative of Type in Construction and Demolition Waste Recycling Center—The Case of Chongqing, China. Resources. Conservation and Recycling, Volume 55, pp. 933–944