Home ยป “Crowd-Sourced GPS Data From Fitness App Yield Relatively Accurate Road Grade Estimates for Walking and Cycling Analysis”

“Crowd-Sourced GPS Data From Fitness App Yield Relatively Accurate Road Grade Estimates for Walking and Cycling Analysis”

by satcit

https://pubmed.ncbi.nlm.nih.gov/38117814

This study determines that crowd-sourced GPS data from a fitness app can generate relatively accurate road grade estimates, aiding in the incorporation of precise road grade information into street network datasets for walking and cycling analysis.

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