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@jorgecarleitao
jorgecarleitao committed Jan 28, 2024
1 parent cbbcbab commit 8ab51d1
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Showing 3 changed files with 78 additions and 22 deletions.
7 changes: 4 additions & 3 deletions examples/country.md
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Original file line number Diff line number Diff line change
Expand Up @@ -7,10 +7,10 @@ of {country.plural} that every day act to reduce their emissions.

Of these,
* {number_of_legs_less_300km} trips were less than 300 km[^4] and could have been replaced by
a limusine or first class train ticket, which would have emitted ~17x less CO2[^5].
a limusine or first class train ticket, which would have emitted ~{ratio_train_300km.claim}x less CO2[^5].
* {number_of_legs_more_300km} trips[^4] could have been replaced by
a first class ticket on a commercial aircraft, which would have emitted
~{ratio_commercial_300km}x less CO2[^1].
~{ratio_commercial_300km.claim}x less CO2[^6].

The use of private jets by billionaires and large companies alike is an insult
to {country.plural} and {country.possessive} companies alike that are doing everything they can
Expand All @@ -24,4 +24,5 @@ to reduce emissions.
[^2]: {citizen_years.source} - retrieved on {citizen_years.date}
[^3]: {number_of_private_jets.source} on {number_of_private_jets.date}
[^4]: {number_of_legs.source} - retrieved on {number_of_legs.date}
[^5]: 10x vs a commercial flight[^1] plus 7x vs a train, as per https://ourworldindata.org/travel-carbon-footprint (UK data, vary by country) - retrieved on 2024-01-20
[^5]: {ratio_train_300km.source} - retrieved on {ratio_train_300km.date}
[^6]: {ratio_commercial_300km.source} - retrieved on {ratio_commercial_300km.date}
92 changes: 73 additions & 19 deletions examples/country.rs
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Original file line number Diff line number Diff line change
@@ -1,11 +1,14 @@
use std::{collections::HashMap, error::Error};
use std::{collections::HashMap, error::Error, sync::Arc};

use clap::Parser;
use futures::{StreamExt, TryStreamExt};
use num_format::{Locale, ToFormattedString};
use simple_logger::SimpleLogger;

use flights::{emissions, load_aircrafts, load_private_jet_types, Class, Fact, Leg, Position};
use flights::{
emissions, leg_co2_kg, load_aircraft_consumption, load_aircrafts, load_private_jet_types,
AircraftTypeConsumptions, Class, Fact, Leg, Position,
};
use time::Date;

fn render(context: &Context) -> Result<(), Box<dyn Error>> {
Expand Down Expand Up @@ -43,7 +46,8 @@ pub struct Context {
pub citizen_years: Fact<String>,
pub number_of_legs_less_300km: String,
pub number_of_legs_more_300km: String,
pub ratio_commercial_300km: String,
pub ratio_commercial_300km: Fact<usize>,
pub ratio_train_300km: Fact<usize>,
}

#[derive(clap::ValueEnum, Debug, Clone)]
Expand Down Expand Up @@ -217,6 +221,40 @@ async fn legs(
}
}

fn private_emissions(
legs: &HashMap<(Arc<str>, String), Vec<Leg>>,
consumptions: &AircraftTypeConsumptions,
filter: impl Fn(&&Leg) -> bool + Copy,
) -> f64 {
legs.iter()
.map(|((_, model), legs)| {
legs.iter()
.filter(filter)
.map(|leg| {
leg_co2_kg(
consumptions.get(model).expect(model).gph as f64,
leg.duration(),
) / 1000.0
})
.sum::<f64>()
})
.sum::<f64>()
}

fn commercial_emissions(
legs: &HashMap<(Arc<str>, String), Vec<Leg>>,
filter: impl Fn(&&Leg) -> bool + Copy,
) -> f64 {
legs.iter()
.map(|(_, legs)| {
legs.iter()
.filter(filter)
.map(|leg| emissions(leg.from().pos(), leg.to().pos(), Class::First) / 1000.0)
.sum::<f64>()
})
.sum::<f64>()
}

#[tokio::main]
async fn main() -> Result<(), Box<dyn Error>> {
SimpleLogger::new()
Expand All @@ -243,6 +281,7 @@ async fn main() -> Result<(), Box<dyn Error>> {
// load datasets to memory
let aircrafts = load_aircrafts(client.as_ref()).await?;
let types = load_private_jet_types()?;
let consumptions = load_aircraft_consumption()?;

let private_jets = aircrafts
.into_iter()
Expand All @@ -263,7 +302,7 @@ async fn main() -> Result<(), Box<dyn Error>> {
let legs = private_jets.iter().map(|(_, aircraft)| async {
legs(from, to, &aircraft.icao_number, cli.location, client)
.await
.map(|legs| (aircraft.icao_number.clone(), legs))
.map(|legs| ((aircraft.icao_number.clone(), aircraft.model.clone()), legs))
});

let legs = futures::stream::iter(legs)
Expand Down Expand Up @@ -292,20 +331,12 @@ async fn main() -> Result<(), Box<dyn Error>> {
date: now.to_string(),
};

let commercial_emissions_tons = legs
.iter()
.map(|(_, legs)| {
legs.iter()
.map(|leg| emissions(leg.from().pos(), leg.to().pos(), Class::First) / 1000.0)
.sum::<f64>()
})
.sum::<f64>();
let commercial_to_private_ratio = 10.0;
let emissions_tons_value = commercial_emissions_tons * commercial_to_private_ratio;
let emissions_value_tons = private_emissions(&legs, &consumptions, |_| true);

let emissions_tons = Fact {
claim: (emissions_tons_value as usize).to_formatted_string(&Locale::en),
source: format!("Commercial flights would have emitted {commercial_emissions_tons:.1} tons of CO2e (based on [myclimate.org](https://www.myclimate.org/en/information/about-myclimate/downloads/flight-emission-calculator/) - retrieved on 2023-10-19). Private jets emit 5-14x times. 10x was used based on [transportenvironment.org](https://www.transportenvironment.org/discover/private-jets-can-the-super-rich-supercharge-zero-emission-aviation/)"),
date: "2023-10-05, from 2021-05-27".to_string(),
claim: (emissions_value_tons as usize).to_formatted_string(&Locale::en),
source: "See [methodology M-7](https://github.com/jorgecardleitao/private-jets/blob/main/methodology.md)".to_string(),
date: time::OffsetDateTime::now_utc().date().to_string(),
};

let short_legs = legs
Expand All @@ -317,9 +348,31 @@ async fn main() -> Result<(), Box<dyn Error>> {
.map(|(_, legs)| legs.iter().filter(|leg| leg.distance() >= 300.0).count())
.sum::<usize>();

let emissions_short_legs =
private_emissions(&legs, &consumptions, |leg| leg.distance() < 300.0);
let commercial_emissions_short = commercial_emissions(&legs, |leg| leg.distance() < 300.0);

let short_ratio = emissions_short_legs / commercial_emissions_short;
let ratio_train_300km = Fact {
claim: (short_ratio + 7.0) as usize,
source: format!("{}x in comparison to a commercial flight[^1][^6] plus 7x of a commercial flight in comparison to a train, as per https://ourworldindata.org/travel-carbon-footprint (UK data, vary by country) - retrieved on 2024-01-20", short_ratio as usize),
date: now.to_string()
};

// compute emissions for the >300km legs, so we can compare with emissions from commercial flights
let emissions_long_legs =
private_emissions(&legs, &consumptions, |leg| leg.distance() >= 300.0);
let commercial_emissions_long = commercial_emissions(&legs, |leg| leg.distance() >= 300.0);

let ratio_commercial_300km = Fact {
claim: (emissions_long_legs / commercial_emissions_long) as usize,
source: "Commercial flight emissions based on [myclimate.org](https://www.myclimate.org/en/information/about-myclimate/downloads/flight-emission-calculator/) - retrieved on 2023-10-19".to_string(),
date: now.to_string(),
};

let citizen_emissions_tons = cli.country.emissions();

let citizen_years = (emissions_tons_value / citizen_emissions_tons.claim) as usize;
let citizen_years = (emissions_value_tons / citizen_emissions_tons.claim) as usize;
let citizen_years = Fact {
claim: citizen_years.to_formatted_string(&Locale::en),
source: citizen_emissions_tons.source,
Expand All @@ -340,7 +393,8 @@ async fn main() -> Result<(), Box<dyn Error>> {
citizen_years,
number_of_legs_less_300km: short_legs.to_formatted_string(&Locale::en),
number_of_legs_more_300km: long_legs.to_formatted_string(&Locale::en),
ratio_commercial_300km: format!("{:.0}", commercial_to_private_ratio),
ratio_commercial_300km,
ratio_train_300km,
};

render(&context)?;
Expand Down
1 change: 1 addition & 0 deletions src/consumption.csv
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Original file line number Diff line number Diff line change
Expand Up @@ -17,6 +17,7 @@ C700 316 https://www.guardianjet.com/jet-aircraft-online-tools/aircraft-brochure
C25M 134 https://www.guardianjet.com/jet-aircraft-online-tools/aircraft-brochure.cfm?m=Cessna/Textron-Citation-M2-182 2024-01-26
C510 90 https://www.guardianjet.com/jet-aircraft-online-tools/aircraft-brochure.cfm?m=Cessna/Textron-Mustang-81 2024-01-26
C680 281 https://www.guardianjet.com/jet-aircraft-online-tools/aircraft-brochure.cfm?m=Cessna/Textron-Sovereign-82 2024-01-26
C650 241 https://www.jetcraft.com/jetstream/2018/07/cessna-citation-iii-overview-1983-1991/ 2024-01-28
C56X 386 https://www.guardianjet.com/jet-aircraft-online-tools/aircraft-brochure.cfm?m=Cessna/Textron-Citation-X-86 2024-01-26
C550 116 https://www.flyingmag.com/gear-mods-refurbish-citation-iis-sierra-style/ (775 pounds/h) 2024-01-26
FA10 274 https://jetadvisors.com/jet/falcon-10/ 2024-01-26
Expand Down

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