Lithuania travel data

Within calculates walking, cycling and driving areas using our own Valhalla instance, and scheduled public-transport areas using our own MOTIS instance. Both use the Lithuania street extract; public transport also uses the national timetable distribution. It does not guarantee that every address or operator is present in the source data.

Sources and attribution

Processing preserves the whole national feed, complete trips and published calendars. Only repeated stop records with the same ID and every field identical are collapsed. Conflicting duplicates are rejected. Source and processed-file hashes, update times, normalization counts and the imported service dates are recorded with each accepted dataset. No calendar is artificially extended.

Using the results

Walk, Bike and Drive use reverse street-network isochrones: estimated starting areas from which the destination can be reached within the selected time. Driving uses static costs, not live or predicted traffic. Cycling does not include elevation data. Contour boundaries are simplified with a 25-metre tolerance for walking/cycling and 50 metres for driving so large results can be displayed. Small details may change or disappear. Road access, paths and speeds depend on source data and routing assumptions.

Peak, Off-peak and Late night each query four representative arrivals in Europe/Vilnius. The displayed area uses the fastest sampled journey; it is an estimate for that period. AND combines requirements between layers. It does not mean all four departures meet the limit.

Walking envelopes around reachable stops are approximate. The timetable is static and does not include live delays or disruptions. Services and street access beyond Lithuania are not promised, even when a retained cross-border trip includes foreign stops. The overlay does not filter or change Aruodas listings.

Access is public during the free beta, with shared daily usage limits. The service reports remaining usage and imported timetable dates. Expired data or backend failures produce an error; the service does not silently switch to public Transitous or a public Valhalla endpoint.

Within is an independent tool. Data attribution does not imply endorsement by the publishers or the housing website.

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