Campbell, Michael J., Dennison, Philip E., and Thompson, Matthew P. Predicting the variability in pedestrian travel rates and times using crowdsourced GPS data. Retrieved from https://par.nsf.gov/biblio/10420114. Computers, Environment and Urban Systems 97.C Web. doi:10.1016/j.compenvurbsys.2022.101866.

Campbell, Michael J., Dennison, Philip E., & Thompson, Matthew P. Predicting the variability in pedestrian travel rates and times using crowdsourced GPS data. Computers, Environment and Urban Systems, 97 (C). Retrieved from https://par.nsf.gov/biblio/10420114. https://doi.org/10.1016/j.compenvurbsys.2022.101866

Campbell, Michael J., Dennison, Philip E., and Thompson, Matthew P. "Predicting the variability in pedestrian travel rates and times using crowdsourced GPS data". Computers, Environment and Urban Systems 97 (C). Country unknown/Code not available. https://doi.org/10.1016/j.compenvurbsys.2022.101866. https://par.nsf.gov/biblio/10420114.

@article{osti_10420114,
place = {Country unknown/Code not available}, title = {Predicting the variability in pedestrian travel rates and times using crowdsourced GPS data}, url = {https://par.nsf.gov/biblio/10420114}, DOI = {10.1016/j.compenvurbsys.2022.101866}, abstractNote = {}, journal = {Computers, Environment and Urban Systems}, volume = {97}, number = {C}, author = {Campbell, Michael J. and Dennison, Philip E. and Thompson, Matthew P.}, }