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Time Series Analysis

Decent Essays

The existing literature proposes various methodologies and procedures to predict GHG emissions in the transport sector. In general, these studies utilize time series analysis, regression analysis, decomposition, and optimization models, as explained below:
• Time series analysis
(Sultan 2010) introduces the use of co-combination of pay per capita and fuel price (FP) to measure transport fuel consumption (FC), while (Bekhet, H & Yasmin 2013), (Bekhet, HA & Yusop 2009), (Ang 2008), (Ediger & Akar 2007), and (Wang, SS et al. 2011) discover a relationship between vitality utilization and CO2 discharges. (Begum et al. 2015) consider the impact of GDP, FC, and concentration of population on the CO2 emissions. (Ivy-Yap, LL & Bekhet 2015) …show more content…

• Strategic planning tools
Greaves (2009) evaluates the impacts of air quality and GHG reduction using a strategic-level modeling tool that considers freight travel, the characteristics of the fleet, and the factors related to GHG and non-GHG emissions.
• Linear programming models
Researchers have also proposed a number of optimisation models to predict GHG emissions, especially from the energy sectors. (Börjesson & Ahlgren 2012), (Bai & Wei 1996), and (Wang, C et al. 2008) explore the cost-effectiveness of conceivable CO2 reduction choices for the energy industries. Furthermore, utilizing a mixed integer linear programming model, (Hashim et al. 2005) contemplate the impacts of fuel balancing and fuel switching choices on power generation. Their studies reveal that FE and fuel switching are the best choices to decrease CO2 discharges. (Tan et al. 2013) utilize mixed integer linear programming analysis to perfectly arrange waste to the level of vitality that best minimizes electricity generation costs and CO2 emissions.
Generally, after a period of time, the road transport sector’s GHG outflows demonstrate a pattern. Therefore, through the use of statistical forecasting techniques, researchers and planners can anticipate future outflows. After (Brown 1957) and

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