• Journal of Korea Port Economic Association
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• v.34 no.1
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• pp.35-49
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• 2018

Busan Port handles more than 75% of the domestic freight volume and is ranked at 6th for global shipping in the world. This paper aims to estimate ship emission in North Port that is the center of Busan Port and located near the residential area. The emission for each type of ship is calculated applying a emission model proposed by U.S. EPA and the atmospheric diffusion pattern of the exhaust gas according to the season, the weather condition and the time was identified using CALPUFF Model. As a result, the major pollutants of $NO_x$, $SO_x$ and PM10 were 30,853 tons, 36,281 tons and 6,856 tons, respectively, and the highest rate was 42% in oil tankers. On clear days, air pollution was stagnant around the harbor, spread widely on windy days, and tended to be thinner on rainy days. The research contributes to recognizing the seriousness of air pollution and can be used as basic data for policy making in the future.

• Journal of Korean Society of Transportation
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• v.25 no.3
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• pp.7-17
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• 2007

This study suggests ways to utilize the concept of environmental justice in order to improve the environment through strategies related to emissions. In Particular, this study explores ways to ameliorate the environment and traffic in consideration of environmental justice instead of simply aiming to reduce emissions. Real-time traffic information was gathered using ITS, it was input into a simulation model. and the level of present exhaust fume emissions was found. At the same time, based on current traffic situations, diverse strategies for reducing emissions were evaluated and appropriate executable alternative measures for ensuring environmental justice were provided.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.12 no.3
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• pp.114-128
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• 2013

Greenhouse gas emissions have been an important issue in different countries because of their effects on global warming. The government has to organize greenhouse gas reduction measures suitable to regional characteristics by establishing annual implementation plans and comprehensive policies based on the UNFCCC. The transportation sector is one of the major contributors of air pollution; hence increasing need to estimate current and future traffic emissions precisely. Under these circumstances, a number of emission models have been developed recently. However, current methods of estimation cannot carry out effective analyses because it does not reflect vehicle movement characteristics. This study aims to present a new method for calculating road traffic emissions in Goyang city. A travel demand model is utilized to carry out GHG emission estimates according the traffic data (fleet composition, vehicle kilometers travelled, traffic intensity, road type, emission factors and speed). This study evaluates two approaches to estimate the road traffic emissions in Goyang City: Pollution-Emis and the Handbook of Emission Factors for Road Transport (HBEFA v.3.1) which is representative of the "average speed" and the "traffic situation" model types. The evaluation of results shows that the proposed emission estimation method may be a good practice if vigilant implementation of model inputs is observed.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.4
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• pp.132-144
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• 2023

European and American countries are actively promoting eco-friendly cars to reduce exhaust emissions from internal combustion engines. In Korea, the "4th Basic Plan for Eco-Friendly Vehicles" aims to promote eco-friendly cars by improving charging infrastructure, expanding incentive systems, and targeting the supply of 1.13 million eco-friendly cars by 2025. As rapid growth in the number of electric vehicles sold is expected, estimates are required of this growth and corresponding power demands. In this study, the authors used a growth model to predict future growth in the electric vehicle market and a previously derived electricity generation model to estimate corresponding power demands up to 2036, the target year of the "10th Basic Plan for Power Supply and Demand". The results obtained provide useful basic research data for future electric vehicle infrastructure planning.