In light of rising pressure on transportation systems, rising inactivity, and climate change, the inclusion of cycling in transportation planning and policy is becoming increasingly important. Policymakers have directed their efforts to raising cycling levels within cities recreationally and for commuting. Investigating the association of environmental characteristics with activity provides evidence to support change in the fabric of our streets to facilitate active travel. Strava Metro enables investigation into the association between activity and environment at greater temporal and spatial granularity than has previously been possible. Building on work in Glasgow this study focuses on three spatial resolutions, Edinburgh, The NCN and quiet routes, to gain an understanding of the environmental determinants for high levels of Strava activity. The characteristics taken into account were land use, cycling infrastructure, road class, seasonality and deprivation. Empirically, the study revealed that Strava users were more likely to cycle on large infrastructure projects, such as the NCN and Quiet Routes. On these routes green space, tree coverage, and low levels of deprivation resulted in higher counts. Visual results demonstrated that seasonality affected distribution, where seasons with typically poorer weather resulted in the restriction of activity more centrally.