Function to calculate the shortest travel times from a stop (give by from_stop_name) to all other stops of a feed. filtered_stop_times needs to be created before with filter_stop_times().

travel_times(filtered_stop_times, from_stop_name,
  departure_time_range = 3600, max_transfers = NULL,
  max_departure_time = NULL, return_DT = FALSE)



stop_times data.table (with transfers and stops tables as attributes) created with filter_stop_times() where the deparuture time has been set.


stop name from which travel times should be calculated. A vector with multiple names is accepted.


All departures within this range in seconds after the first departure of filtered_stop_times are considered for journeys.


The maximimum number of transfers


Either set this parameter or departure_time_range. Only departures before max_departure_time are used. Accepts "HH:MM:SS" or seconds as numerical value.


travel_times() returns a data.table if TRUE. Default is FALSE which returns a tibble/tbl_df.


A table with travel times to all stops reachable from from_stop_name and their corresponding journey departure and arrival times.


This function allows easier access to raptor() by using stop names instead of ids and returning shortest travel times by default.


nyc_path <- system.file("extdata", "", package = "tidytransit") nyc <- read_gtfs(nyc_path) # Use journeys departing after 7 AM with arrival time before 9 AM on 26th June stop_times <- filter_stop_times(nyc, "2018-06-26", 7*3600, 9*3600) tts <- travel_times(stop_times, "34 St - Herald Sq") tts <- tts %>% filter(travel_time <= 3600) # travel time to Queensboro Plaza is 810 seconds, 13:30 minutes tts %>% filter(stop_name == "Queensboro Plaza") %>% dplyr::pull(travel_time) %>% hms::hms()
#> 00:13:30
# plot a simple map showing travel times to all reachable stops # this can be expanded to isochron maps library(ggplot2) ggplot(tts) + geom_point(aes(x=stop_lon, y=stop_lat, color = travel_time))