Developing a Traffic Model to Estimate Vehicle Emissions: An Application in Seoul, Korea

Hanghun Jo and Heungsoon Kim
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Hanghun Jo: Department of Urban Planning and Engineering, Hanyang University, Wangsimri-ro 222, Seoul 04763, Korea
Heungsoon Kim: Department of Urban Planning and Engineering, Hanyang University, Wangsimri-ro 222, Seoul 04763, Korea

Sustainability, 2021, vol. 13, issue 17, 1-18

Abstract: In this study, a traffic demand model was created based on a simulation network, and another model was built to calculate exhaust-gas emissions generated by vehicles based on the emission function. Subsequently, emissions for three scenarios were analyzed based on the traffic restriction policy according to the vehicle grading system implemented in Seoul. According to the results of the analysis, emission reduction under the vehicle restriction policy was the highest among passenger cars in the low-speed range, while the emissions of cargo trucks in the high-speed range were found to be high. The emissions showed a high ratio of carbon monoxide and nitrogen oxides, and high emissions were generated from liquefied petroleum gas and diesel vehicles. Furthermore, the effects of vehicle restriction policy were confirmed to reduce emissions from diesel and other vehicle types. Using the established model, we were able to confirm that the vehicle restriction policy contributed to the improvement of air quality. Furthermore, the diesel vehicle restriction policy also had an impact on reducing the emissions of vehicle types other than those using diesel.

Keywords: vehicle emissions; emission function; emission grade; traffic model; sustainable transport; traffic policy (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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