Gruff OwenFeb 4, 2024

Fascinating to learn of an experimental #ONS #MachineLearning model for estimating recreational use of natural spaces at an #OutdoorRecreationNetwork webinar last week.

The model uses several data sources including; footpath counters, #StravaMetro, weather, greenspace/ habitat/ socioeconomic mapping to estimate site visitation.

It's early days, but a robust metric for visitation could really help with planning and prioritising access works for land managers.

https://datasciencecampus.ons.gov.uk/projects/a-data-science-approach-to-estimate-the-use-of-natural-spaces-a-feasibility-study/

A data science approach to estimate the use of natural spaces: a feasibility study | Data Science Campus

Show threadFloSep 19, 2023
Man kann in der App auch seine Einwilligung geben, dass die Fahrtdaten (anonymisiert, wobei das nicht näher erläutert wird; Account ist eh keiner nötig, Personendaten fallen also gar nicht an; es geht wohl eher um Verschleierung von Start/Ziel?)) an die jeweilige Stadt weitergegeben werden. Das klingt sehr nach #StravaMetro. Auch Strava bietet Städten aggregierte Daten als Paket für die Verkehrsplanung an - Daten, die Städte selbst nie erheben können.
ArvindSep 28, 2020
Very cool human powered urban commuter data from @Strava #stravametro @MORTHIndia @MORTHRoadSafety https://blog.strava.com/the-new-human-powered-era-20951/
The New Human-Powered Era

Across the globe, athletes have uploaded over 4 billion activities to Strava. When the community contributes their activities to Metro, they become a critical part of the world's largest collection of human-powered transport information. Now, Strava Metro is more accessible than ever for urban planners and advocacy groups, so they can keep improving infrastructure in cities around the world and usher in a new chapter in active transportation.

Strava