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Understanding Usage Patterns of UK National Cycle Network Counters through Data Analysis

Explore how Sustrans analyzes data from 107 automatic counters to identify usage profiles like Schools, Commuter, Leisure, and Hybrid. Learn about clustering methods and relationship assessments using explanatory variables provided by Sustrans.

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Understanding Usage Patterns of UK National Cycle Network Counters through Data Analysis

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  1. Data • From Sustrans, a charity that promotes sustainable transport in the UK • Responsible for planning and delivering the National Cycle Network • 107 automatic counters - #bikes per hour, many operating for over 5 years

  2. Usage profiles

  3. Clustering • Try to find common shapes. • How do we assess dissimilarity? • Hierarchical clustering

  4. Result • 4 shapes • Schools • Commuter • Leisure • Hybrid

  5. Clustering

  6. Relate to explanatory variables • Responses to Sustrans information about the locality of a counter • Baseline category logit model to “predict” classification. • Response probabilities

  7. Example classification ~ Trafficfreeroute + Lessthan3miles + Lightingno commuter hybrid leisure schools 0.06165034 0.35577006 0.50244144 0.08013816

  8. Conclusions • Confirmed Sustrans notion of 4 types of usage profiles using data-driven methods. • Examined relationship between usage at a counter and the locality of the counter. • Experienced problems due to limited data.

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