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http://dx.doi.org/10.15683/kosdi.2017.03.31.96

Method for the evaluation of Unit Load of Road­-Section CO2 Emission Based on Individual Speed Data  

Park, Chahgwha (Incheon National University)
Yoon, Byoungjo (Incheon National University)
Chang, Hyunho (Seoul National University)
Publication Information
Journal of the Society of Disaster Information / v.13, no.1, 2017 , pp. 96-105 More about this Journal
Abstract
Global warming, mainly caused by CO2, is one of the on­going cataclysms of the human race. The nation­wide policy to reduce greenhouse gases (GHG) has been enforced, for which it is crucial to estimate reliable GHG emissions. The unit load of road­section CO2 emission (URSCE) is a prerequisite for the evaluation of GHG emissions from road mobile source, and it is mainly computed using vehicular velocity source. Unfortunately, there is real­world limitations to collect and analyse representative speed data for nation­wide road network. To tackle this problem, a method for the evaluation of URSCE, proposed in this study, is based on a disaggregated way using big GPS vehicle data. The method yields more accurate URSCE than an current aggregated data based approach and can be directly employed for nation­wide road systems.
Keywords
Greenhouse Gases; CO2; Road Mobile Emission; Big Vehicle-GPS Data; Disaggregated Method;
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Times Cited By KSCI : 1  (Citation Analysis)
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