If I understand you correctly, you want to get the sum of tourist for each combination of country_origin and city_dest. You can do that with group_by() and summarize() from the dplyr package. With you example data set, it doesn't seem very useful but I assume you have a larger data set to work with.
library(dplyr)
DF <- structure(list(month = c("2022-07", "2022-07", "2022-07", "2022-07",
"2022-07", "2022-07"),
country_orig = c("Germany", "Total Europe", "Total UE",
"France", "Belgium", "Italy"),
city_dest = c("Bruxelles", "Berlin", "Barcelona", "Barcelona", "Madrid", "Madrid"),
tourist = c(103, 101, 99, 30, 55, 165)), row.names = c(NA, -6L),
class = c("tbl_df", "tbl", "data.frame"))
DF
#> # A tibble: 6 × 4
#> month country_orig city_dest tourist
#> <chr> <chr> <chr> <dbl>
#> 1 2022-07 Germany Bruxelles 103
#> 2 2022-07 Total Europe Berlin 101
#> 3 2022-07 Total UE Barcelona 99
#> 4 2022-07 France Barcelona 30
#> 5 2022-07 Belgium Madrid 55
#> 6 2022-07 Italy Madrid 165
DF |> group_by(country_orig,city_dest) |>
summarize(Total=sum(tourist))
#> `summarise()` has grouped output by 'country_orig'. You can override using the
#> `.groups` argument.
#> # A tibble: 6 × 3
#> # Groups: country_orig [6]
#> country_orig city_dest Total
#> <chr> <chr> <dbl>
#> 1 Belgium Madrid 55
#> 2 France Barcelona 30
#> 3 Germany Bruxelles 103
#> 4 Italy Madrid 165
#> 5 Total Europe Berlin 101
#> 6 Total UE Barcelona 99