Integration of multiple transport modes into one route

[thomasroordaGiG]

Building upon the great tutorial found here, I'm facing an issue calculating travel times in Amsterdam, see screenshot below. The issue arises with travel times from the people in the northern part of Amsterdam, above the river 't IJ above the central station. The shortest route down south by bike and the route that most people will take, is by taking their bikes on the ferry and then continuing by bike. However, it seems that the current solution is not able to handle this situation and routes them via the nearest bridge, drastically increasing their travel times.

As far as I'm aware its's currently not possible to force the routing via the ferry and afterwards continuing by bike. I realize that integration of multiple transport modes into one route is computationally expensive, but maybe there is some utility in using a part of OSM's API, which does use the ferry in these cases. Anyhow, I am not much an expert on this and this might be a very foolish suggestion.
This specific case will probably not apply to many cities around the world, but similar cases might be more abundant, such biking towards and from train stations.

Unfortunately it seems that this issue renders this wonderful solution not practically viable for us at the moment, unless I'm overlooking something (which I hope I am).

[RidwanTiamiyu]

Hi. Are you able to combine bicycle and bus?

[thomasroordaGiG]

Hi. Are you able to combine bicycle and bus?

Thanks for your reply. I'm not really sure how the function combines the two modes of transport when I set it to public transit?

[christophfink]

Hi! Sorry for the slow reply. I’ve just started a new function in a new University and haven’t found much time to dedicate to r5py.

The way R5 combines different modes of transport is, it searches for the optimum connection with any one mode (i.e., it combines the modes in an OR operation). You can, however, use the access and egress modes to explicitly chain different modes into one trip, e.g., using cycling as access and egress mode, and cycling OR public transport for the main transport mode.

[RidwanTiamiyu]

Oh, thanks a lot guys.
However, I still get a key error when combining transit with other modes.

detailed_itineraries_computer = r5py.DetailedItinerariesComputer(
transport_network,
origins=origins,
destinations=destinations,
departure=datetime.datetime(2024, 2, 5, 10, 30),
transport_modes=[ r5py.TransportMode.WALK, r5py.TransportMode.TRANSIT],
access_modes=[r5py.TransportMode.CAR], # Add CAR_PARK here
egress_modes=[r5py.TransportMode.CAR], # Typically, walking from transit stops to the final destination
snap_to_network=True,
)
travel_details = detailed_itineraries_computer.compute_travel_details()

[christophfink]

Oh, thanks a lot guys. However, I still get a key error when combining transit with other modes.

detailed_itineraries_computer = r5py.DetailedItinerariesComputer( transport_network, origins=origins, destinations=destinations, departure=datetime.datetime(2024, 2, 5, 10, 30), transport_modes=[ r5py.TransportMode.WALK, r5py.TransportMode.TRANSIT], access_modes=[r5py.TransportMode.CAR], # Add CAR_PARK here egress_modes=[r5py.TransportMode.CAR], # Typically, walking from transit stops to the final destination snap_to_network=True, ) travel_details = detailed_itineraries_computer.compute_travel_details()

@RidwanTiamiyu : Can you share which error you get?