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Statistics : The Factors And Implications Of CO2 Disability

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significantly impact a prediction in CO2 emissions from road traffic when population density, urban area, road density are taken into account. The following is the regression model that we obtained for the given data: E 1⁄4 2:165 þ 0:547P þ 312:502U þ 16:439R (2) 4. Results and discussions We used the estimated coefficients of the multiple linear regression model (Eq. (2)) to project CO2 emissions from road traffic at 1 1 km gird for the year 2002. Thus, Total amount of emissions at parish level had been disaggregated with the second group data of Louisiana (in section 3.2). The current method has involved 135,164 1 1 km grid cells for the State of Louisiana. The resolution is sufficient to provide information regarding CO2 emission …show more content…

There are some hot spots identified in the gridded map (Fig. 2 (c)), Baton Rouge in East Baton Rouge Parish, Shreveport in Caddo Parish, New Orleans in Orleans parish, Gretna, Harvey, Kenner, Mar- rero, Metairie, Terrytown and so on in Jefferson Parish. Other parishes of interest can also be disaggregated spatially in the same way. The method proposed in this paper is based on the assumption that population density, road density, urban area, income have effects on traffic-related CO2 emissions. As the highest CO2 emis- sion parish, East Baton Rouge was selected to present spatial distribution of selected allocation factors at 1-km2 grid cells (Fig. 2 (b)). The result (Fig. 2(b) and (c)) reveals that high CO2 emissions are concentrated in dense road network of urban areas with high population density and low CO2 emissions are distributed in rural areas with low population density, sparse road network. Compared 2 sion models (Briggs, 2005; Vienneau et al., 2009). In the light of the standardized beta values for all three factors, it tells us that population has greatest impact on CO2 emissions, and road density has least impact in Model 3 (see Table 4). The most important limitation of the method in this paper is that only road density is determined to represent the traffic network for neglecting differences in traffic flow and speed of vehicles. Thereby, the method is not

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