APPLICATION DESIGN
Use of Python and Client Incentives
From Carbon Green Africa we will be able to get the price that they charge for the carbon credit, from this we can put a price on our carbon output. Their idea is to use our outputs of real carbon output with a price to make their customers more aware of the issue. Next steps would be having Veritread start charging their customers this carbon credit price along with their load price. The other option they could do is start something like a ”Veritread Green Club” which they can put green stickers on loads to identity that that load has been paid to offset their carbon output.
PYTHON CODE
To accomplish this task, we elected to create a Python program importing the Tkinter widget library so that it can be easily included within the Veritread website. It will be its own class that holds its own child functions so that when/if Veritread elects to implement it onto their website, they can without having to worry about how the program would inherit from preexisting code found on their current platform. That flexibility of code comes from the use of the Tkinter library where if they want to have the calculator be seen on their website, they have that option; or, they can simply implement a button that calls to the calculator on a separate widget window. The input functions include: addWeight(), addDistance(), truckType(); all of which would prompt the user for a correct input regarding the attributes obvious to the function name. Truck type simply stands for average mpg but since there are only so many options as to what type of truck is hauling the load order, we may elect to have a few preprogrammed selections to limit what average mpg can be selected. Code snippets of our work can be found below.
In order to incorporate carbon certificates within our existing analysis, we will be wanting to form solutions about how much carbon is being emitted per route/load. Previously we had seen correlations regarding carbon emissions for weight as it relates to total emissions, in which it produced a positive correlation in overall emissions. Where further analysis has differed, has been the implementation of the route length, type of truck, and a sustainable source of obtaining carbon certificates. Helping to produce an accurate rate of price per emission, adjusted to the type of truck used and total load weight. What we have encountered thus far, to paint an overall picture, is the relatively small fee in contrast to total price of order. Using the formulas that were produced, we can look to use pre-existing data to forecast models that look to represent the data thus far in monetary terms. This research can be used by Veritread to explain to their clients the importance of carbon offset and how such a small fraction of the total cost could have such a large, long-term impact. In order to increase the transparency of the carbon offset cost towards carbon certificates, we thought it would be an interesting take to create a calculator that receives inputs and gives an approximate estimate. The parameters that the program would need is already a part of our preexisting data that was provided to our group, in which cleaned up and used within our prior analysis. Dynamic values needed would include total route distance, weight, average cost of credit, and average mpg (miles per gallon) in addition to a few static values that entail the average carbon expended within a gallon of gasoline. All of this would generate a monetary value on how much it would cost for carbon cleanup given the particular order and approximately how many trees that said carbon cleanup would be equal to. The trees portion of the output is mainly for the client, so that they may be able to understand the broader concept for why it is important that Veritread is taking measures to offset carbon emissions.
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VERITREAD GREEN CLUB
Through the client/s graceful contribution towards carbon cleanup efforts, they can elect to be apart of Vertritread's own green initiative group. Offering incentives as part of this program, thanking them for their thoughtfulness in this war for keeping our society and Earth clean.