License and citation#


If you use r5py for scientific research, please cite it in your publications:

Fink, C., Klumpenhouwer, W., Saraiva, M., Pereira, R., & Tenkanen, H. (2022): R5py: Rapid Realistic Routing with R5 in Python. DOI:10.5281/ZENODO.7060437

Please also cite the relevant publications relating to the R⁵ engine on which r5py builds up:

Conway, M. W., Byrd, A., & van der Linden, M. (2017): Evidence-Based Transit and Land Use Sketch Planning Using Interactive Accessibility Methods on Combined Schedule and Headway-Based Networks. Transportation Research Record: Journal of the Transportation Research Board, 2653(1), 45–53. DOI:10.3141/2653-06

Conway, M. W., Byrd, A., & Van Eggermond, M. (2018): Accounting for uncertainty and variation in accessibility metrics for public transport sketch planning. Journal of Transport and Land Use, 11(1). DOI:10.5198/jtlu.2018.1074

Conway, M. W. & Stewart, A. F. (2019): Getting Charlie off the MTA: a multiobjective optimization method to account for cost constraints in public transit accessibility metrics. International Journal of Geographical Information Science, 33(9), 1759–1787. DOI:10.1080/13658816.2019.1605075


This work is dual-licensed under GNU General Public License v3.0 or later and MIT License. You can choose between the two depending on which license fits your project better.

SPDX-License-Identifier: GPL-3.0-or-later OR MIT