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Read this post for 6 highlights or the full changelog here:
- Perhaps the most exciting news: Now you can use #r5rstats to account for monetary costsin the functions
travel_time_matrix(),accessibility()anddetailed_itineraries(). Full details here. This is a game changer for transportation equity research
- New
pareto_frontier()function to find multiple path alternatives considering trade-offs between travel time
& monetary costs , making it easy to use the method developed by Matthew Bhagat-Conway and Anson Stewart in this paper. Check the detailed vignette on how to use the function here.
If you want more info for your travel matrix, the newexpanded_travel_time_matrix(breakdown = T)function also returns the transit routes taken + several other info such as number of transfers & total access, waiting, in-vehicle & transfer times. Details here.
Thedetailed_itineraries()function is much faster and substantially improved ! It now includes the parameters:
suboptimal_minutesto find a larger set of suboptimal routesall_to_allto routes between all origins to all destinationsmax_fareto account for monetary costs
The output of thestreet_network_to_sf()function now includes more information on street segments, such as osm_id, level of traffic stress (LTS), max car speed, and type of street
Finally, we’ve added theoutput_dirparameter to all routing & accessibility functions. It allows one to save the outputs as.csvfiles (one file per origin), which is particularly useful for computers with limited RAM. It also makesr5reven faster
Please mind you that the new
r5r v1.0.0 also has a few breaking changes, which are all documented in the changelog. Huge thanks to all co-developers, specially Marcus Saraiva and Daniel Herszenhut for their major contributions to this new release!
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