… Routing with different travel modes (door to door) For all routing, we used the r5py Python
… The pre-computed nature of our data set allows fast and low-threshold exploration of the …

… point that we can now trace actual route choices. Second, we … of individuals over time has
driven a rapid growth of the field of … One of the best known is OSMnx [105], a Python package …

… regions are only possible at rapidly growing costs. Also, the … with one-to-many routing in R5
[17] and NetworkX [18] to 26 … in r5py10 [39], a Python wrapper for R5 [17]. For walking, cycling…

… The model considers the allocation of primary and secondary locations based on a gravity
model, realistic routing for active, public, and private motorised modes of transportation and …

… methodology integrates routing algorithms, LCA, and open-source Python tools like r5py (Fink …
We then route origin-destination pairs across different transport modes and assigns trips …

… R5py is a Python implementation of the R 5 routing engine designed for rapid and efficient
calculation of large-scale accessibility analyses. Within the r5py package, we used the …

… in this study is R5py (Fink, 2022), which is a python library for rapid routing, it is the python
version of R5r (Pereira et al., 2021), both are based on the routing engine R5 by Conveyal (…

… data using the R5 travel time engine (21) implemented by the Python package r5py (22). …
on the line that allow for reasonably flexible route choice (either by transferring twice via Line 2 …

… ’ data model represents a temporal aggregation of the different public transport services
of each route at different periods of the day, providing the frequency per hour of a route. …

… route. In addition to tables for stops and links, tables for transfers between routes at the same
stop, and transfers between routes … A GeoDataFrame is a data structure used in the Python …