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Improve the flight model by adding load factors by region #250

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martincollignon opened this issue Nov 19, 2019 · 15 comments
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Improve the flight model by adding load factors by region #250

martincollignon opened this issue Nov 19, 2019 · 15 comments

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@martincollignon
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martincollignon commented Nov 19, 2019

https://github.com/Tritlo/FlightCarbonOffset this is super cool.
Could be nice to integrate flight number as an optional input to activities
@Tritlo do you think you could help?

@martincollignon
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https://theicct.org/sites/default/files/publications/ICCT_CO2-commercl-aviation-2018_20190918.pdf I've reached out to the author as they seem to have all the data needed to make a very comprehensive model.

@martincollignon martincollignon added the good first issue Good for newcomers label Dec 9, 2019
@martincollignon
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Let's start by adding the load factors by routes (page 12 and 13) from https://theicct.org/sites/default/files/publications/ICCT_CO2-commercl-aviation-2018_20190918.pdf in the current model.

To do's:

@martincollignon martincollignon changed the title Add alternative flight model Improve the flight model Dec 9, 2019
@martincollignon martincollignon changed the title Improve the flight model Improve the flight model by adding load factors by region Dec 9, 2019
@tur-ium
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tur-ium commented Dec 9, 2019

Really interesting problem. There is information on the GHG intensity grouped by passenger class and the type of flight (long-haul/short-haul) for flights to an from the UK. Don't know if this may also be reflective of the general situation. I have been using these statistics for developing a tool recently

@alixunderplatz
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@martincollignon great dataset to cover most of the worlds commercial flights!!! :)
Do you plan to connect this with highly detailled flight data from services like https://www.flightradar24.com/ (there are other data providers, too, afaik) for individual flights?
Thinking in another direction, I can imagine this could become something real-time like "the electricityMap for flying" by showing the approximated CO2_eq emissions of each flight as a trail behind the airplanes ;)

@martincollignon
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martincollignon commented Dec 9, 2019

Hi @alixunderplatz, with this and #271 I believe we'd have one of the most accurate models available out there. I can also see some other possible improvements based on this: https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/829336/2019_Green-house-gas-reporting-methodology.pdf (page 73-79)

APIs, widgets, etc, are possible ;-)

@alixunderplatz
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@martincollignon oops, I meant to post my comment in #271 I'll paste it there

@pierresegonne
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@martincollignon Can I start working on it? Seems like it would be a good first contribution :)

@martincollignon
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martincollignon commented Mar 5, 2020 via email

@pierresegonne
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pierresegonne commented Mar 7, 2020

I'm on it :)

  • ICAO regions on airports.json. See here. Used this dataset to link airports (referenced by iata) to their country and then to their respective ICAO regions.
  • loadfactors.json file. See here
  • loadfactor as variable. See here
  • passenger freight ratio. Cf above

@pierresegonne
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@martincollignon I think I'm done :) Is there any guidelines for PR/linting etc? If no then I'll create the PR

@martincollignon
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Feel free to create the PR :-)

@martincollignon
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If you're excited about this @pierresegonne there is #271 and #273. Once this is done I'm convinced this will be the best open source flight carbon model worldwide.

@pierresegonne
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Yep these two point seem super important to generate a precise model! Will look into it as soon as this is done :)

@pierresegonne
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shouldn't we close the issue @martincollignon ?

@martincollignon
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indeed!

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