## code to prepare `multi_search` dataset goes here
departure_search1 <-
make_search(id = "public transport from Trafalgar Square",
departure_time = "2022-01-01T08:00:00Z",
travel_time = 900,
coords = list(lat = 51.507609, lng = -0.128315),
transportation = list(type = "public_transport"),
properties = list('is_only_walking'))
departure_search2 <-
make_search(id = "driving from Trafalgar Square",
departure_time = "2022-01-01T08:00:00Z",
travel_time = 900,
coords = list(lat = 51.507609, lng = -0.128315),
transportation = list(type = "driving"))
arrival_search <-
make_search(id = "public transport to Trafalgar Square",
arrival_time = "2022-01-01T08:00:00Z",
travel_time = 900,
coords = list(lat = 51.507609, lng = -0.128315),
transportation = list(type = "public_transport"),
range = list(enabled = T, width = 3600))
arrival_search2 <-
make_search(id = "driving to Trafalgar Square",
arrival_time = "2022-01-01T08:00:00Z",
travel_time = 900,
coords = list(lat = 51.507609, lng = -0.128315),
transportation = list(type = "driving"))
union <- make_union_intersect(id = "union of driving and public transport",
search_ids = list('driving from Trafalgar Square',
'public transport from Trafalgar Square'))
intersection <- make_union_intersect(id = "intersection of driving and public transport",
search_ids = list('driving from Trafalgar Square',
'public transport from Trafalgar Square'))
multi_search <-
time_map(
departure_searches = c(departure_search1, departure_search2),
arrival_searches = c(arrival_search, arrival_search2),
unions = union,
intersections = intersection
)
usethis::use_data(multi_search, overwrite = TRUE)
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