Introduction: what is OD data? | The importance of OD data | The od package | Representing origin-destination data | A minimal od dataset | OD data representing travel to work | Origin-destination pairs (long form) | Origin destination matrices | Inter and intra-zonal flows | Bidirectional aggregation | Desire lines | Non-matching IDs | Aggregating and disaggregating OD data | Further reading | References

Getting the region of interest | Getting cycling potential accross local authorities | Cycling mode share | Cycling potential nationwide | Considerations | Challenge

Prerequisites | Estimating distance cycled for a region based on 2011 census data | Comparing Regions | Using PCT models to visualize potential cycle uptake | Conclusions and next steps

Introduction | Why this package? | Installation | Get PCT data | Comparing downloaded data with the PCT web app | Getting Census data | Estimate cycling uptake | References

Prerequisites | Picking a study area | Part A) Choosing a region | Part A) Picking a Local Authority | Plotting Current Cycle Uptake | Plotting New Demand Based On PCT Models | Comparing Two Cities | Conclusions and next steps

Introduction | Input data | Creating desire lines | Estimating cycling uptake | Routing | Next steps