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Add script to dig into CO2 calculations. Saving it for reproducibilit…
…y. Rel #93
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# Load libraries | ||
library(tidyverse) | ||
library(janitor) | ||
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######### SCENARIO DEFINITIONS | ||
scen <- read_csv("scen_prop.csv") | ||
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######### TRIP DISTANCE SUMMARY | ||
## Code to read trips data and produce total distance by mode for all scenarios | ||
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# Read trips data | ||
trips <- read_csv("trips_antofagasta.csv") | ||
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# Display total distance by mode for all scenarios | ||
# NOTE: trips with multiple stages are repeated, as it's a stage level dataset, | ||
trips <- trips %>% group_by(scenario, stage_mode) %>% summarise(dist = sum(stage_distance)) | ||
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# Add walk_to_pt trips to pedestrian mode | ||
trips$dist[trips$stage_mode == "pedestrian"] <- trips$dist[trips$stage_mode == "pedestrian"] + | ||
trips$dist[trips$stage_mode == "walk_to_pt"] | ||
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# Remove walk to PT mode | ||
trips <- trips %>% filter(stage_mode != "walk_to_pt") | ||
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# Display distance table - similar to the dist variable | ||
trips %>% pivot_wider(names_from = "scenario", values_from = "dist") %>% View() | ||
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######### CO2 CALCULATIONS | ||
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# Read vehicle inventory | ||
vehicle_inventory <- read_csv("vehicle_inventory_antofagasta.csv") | ||
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# Total distance by mode | ||
dist <- read_csv("dist_antofagasta.csv") | ||
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# Rename columns | ||
names(dist)[2:5] <- c("Baseline", "Bicycling", "Driving", "Public Transport") | ||
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# Remove duplicate rows | ||
vehicle_inventory <- vehicle_inventory %>% distinct(stage_mode, .keep_all = T) | ||
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# Combine CO2 emission inventory with distance by mode, to calculate emission factors | ||
# emission_factors = CO2_emission_inventory / Baseline_distance | ||
co2 <- left_join(vehicle_inventory %>% dplyr::select(stage_mode, CO2_emission_inventory), | ||
dist) %>% | ||
mutate(emission_factors = CO2_emission_inventory / Baseline) | ||
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# Multiply distance by emission factors | ||
co2[,3:6] <- co2[,3:6] * co2$emission_factors | ||
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# Copy CO2 inventory for all those transport modes that do not have distances | ||
co2[(is.na(co2$Baseline) & !is.na(co2$CO2_emission_inventory)),3:6] <- | ||
co2[(is.na(co2$Baseline) & !is.na(co2$CO2_emission_inventory)),2] | ||
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# Calculate column totals | ||
co2 <- co2 %>% janitor::adorn_totals() | ||
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# Write it as a CSV | ||
write_csv(co2, "CO2_antofagasta.csv") |