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Add ACEA vehicle numbers to compare to in the report #73

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Add ACEA vehicle numbers to compare to in the report #73

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c0383f5
Copy acea files and add some processing logic (unfinished)
Loisel Sep 15, 2021
98d29f6
Apply some ACEA classifications to the EU data.
Loisel Sep 16, 2021
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3 changes: 3 additions & 0 deletions R/generateEDGEdata.R
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Original file line number Diff line number Diff line change
Expand Up @@ -433,6 +433,9 @@ generateEDGEdata <- function(input_folder, output_folder,

saveRDS(POP, file = level2path("POP.RDS"))
saveRDS(IEAbal_comparison$IEA_dt2plot, file = level2path("IEAcomp.RDS"))
## copy ACEA data for comparison
acea_files <- list.files(file.path(input_folder, "ACEA"), pattern="*.csv", full.names=T)
file.copy(acea_files, level2path(""), overwrite = T)
md_template = level2path("report.Rmd")
## ship and run the file in the output folder
file.copy(system.file("Rmd", "report.Rmd", package = "edgeTransport"),
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50 changes: 49 additions & 1 deletion inst/Rmd/report.Rmd
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Expand Up @@ -1751,7 +1751,7 @@ plotCost(costs = techcost, vt = "Passenger Rail_tmp_vehicletype")
```
# ES validation for selected categories and regions

## Passenger transport in DEU 2018
## Passenger transport in DEU 2018 - Verkehr-in-Zahlen

```{r, echo=FALSE, warning=FALSE, message=FALSE}

Expand Down Expand Up @@ -1786,3 +1786,51 @@ ViZ,LDV, 913.3

es_deu_verkehrinzahlen(demandkm)
```

## Vehicle numbers in the EU - ACEA

```{r, echo=FALSE, warning=FALSE, message=FALSE}
vn_eu_acea <- function(demand_km, loadFactor, annual_mileage){

all_eu <- c(EU_regions, NEU_regions)

## vkm
demand_vkm <- merge(demand_km, loadFactor,
by=colnames(demand_km)[2:ncol(demand_km)])
demand_vkm[, demandVKM := demand_F/loadFactor]
nas <- demand_vkm[is.na(demandVKM)]
if(length(nas)){
warning(sprintf("Missing demand for %s", unique(nas$vehicle_type)))
}
demand_vkm <- demand_vkm[!is.na(demandVKM)]

## mileage
demand_vkm <- merge(demand_vkm, annual_mileage,
by=colnames(demand_km)[2:ncol(demand_km)])
no_mileage <- demand_vkm[is.na(vkm.veh) | vkm.veh == 0]
if(length(no_mileage)){
warning(sprintf("Missing demand for %s", unique(no_mileage$vehicle_type)))
}
demand_vkm[, veh_num := demandVKM/vkm.veh]

aceadt <- rbindlist(list(
fread("acea_cars.csv")[, group:="cars"],
fread("acea_lcm.csv")[, group:="lcv"],
fread("acea_trucks.csv")[, group:="trucks"]
))

mapping_TRACCS_iso= fread(
system.file(
"extdata", "mapping_countries_EU.csv", package="edgeTransport"), skip=0)
aceadt <- merge(aceadt, mapping_TRACCS_iso, by.x="country", by.y="country_name")

demand_eu <- demand_vkm[region %in% aceadt$iso]

## apply ACEA classification
demand_eu[subsector_L2 == "trn_pass_road_LDV", group := "cars"]
demand_eu[subsector_L3 == "trn_freight_road" & vehicle_type == "Truck (0-3.5t)", group := "lcv"]
demand_eu[subsector_L3 == "trn_freight_road" & vehicle_type != "Truck (0-3.5t)", group := "trucks"]


}
```