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Re – ‘Cycling’ the Money: The economic benefit of cycle tourism

Re – ‘Cycling’ the Money: The economic benefit of cycle tourism. Richard Weston – Institute of Transport & Tourism Presentation to VisTrav workshop on cycle tourism Brockenhurst 17 th November 2009. The Issues. The question remains – why invest in cycle trails? The Triple Bottom Line:

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Re – ‘Cycling’ the Money: The economic benefit of cycle tourism

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  1. Re – ‘Cycling’ the Money:The economic benefit of cycle tourism Richard Weston – Institute of Transport & Tourism Presentation to VisTrav workshop on cycle tourism Brockenhurst 17th November 2009

  2. The Issues • The question remains – why invest in cycle trails? • The Triple Bottom Line: Economics, People and Environment • Three approaches prevail: • CVM: Overall assessment of value • Business Development Studies on Trails: economic rent and business attitudes • Most work relates to user spending in local economies – direct spend Institute of Transport & Tourism

  3. Estimating Economic Impact • Two case studies: - North East England: based on work with Sustrans for One NorthEast http://www.sustrans.org.uk/assets/files/rmu/Economic%20Impact%20of%20Cycle%20Tourism%20NE.pdf • EuroVelo: report for the European Parliament undertaken with Breda University http://www.europarl.europa.eu/activities/committees/studies/download.do?language=en&file=26868 Institute of Transport & Tourism

  4. Case study 1 • Four tourist routes in North East England: - Coast & Castles - C2C - Pennine Cycleway - Hadrian’s Cycleway Institute of Transport & Tourism

  5. Direct spend: an example • Automatic counters: continuous data (verified by manual counts) • Tourism surveys: capture data on social background, journey purpose, etc. • Travel diary: visitor spending, duration of trip, group composition, etc. • The aim was to model visitor spending. Institute of Transport & Tourism

  6. Institute of Transport & Tourism

  7. Modelling the data • Key variables • Expenditure • Duration • Group size • Income • Trip characteristics • Route • Tourist (i.e. NE or Non-NE) Institute of Transport & Tourism

  8. Duration determined by: Trip characteristics Route Expenditure determined by: Group size Duration Income + ‘Tourist’ Modelling the data Institute of Transport & Tourism

  9. Case study 2 • EuroVelo • European cycle route network • Comprises twelve long-distance cycle routes (66,000km) • Managed by the European Cyclists’ Federation Institute of Transport & Tourism

  10. Finding the data • Search of the literature, reports and contact with cycling organisations • Switzerland • The Netherlands • Germany • Austria • France • United Kingdom Institute of Transport & Tourism

  11. Modelling the data (again) • Cycle Holidays: • trips/km = f(beds/km2) • direct revs = f(€ per trip) • Cycle Day trips • trips/km = f(pop/km2) • direct revs = f(€ per trip) The data for LF-Routes in the Netherlands, and the Brandenburg and Pennine cycle routes were assessed to be relatively strong outliers (extreme values) and were not been used. Institute of Transport & Tourism

  12. Up or Down? Institute of Transport & Tourism

  13. Local multipliers • Direct spend • Indirect spend • 1.4 • Induced spend • +5% • Countryside vs. Town spending Institute of Transport & Tourism

  14. Who spends what? • EuroVelo report • Day visitors €16 • Holiday cyclists €353 per trip (€ 353/6.6 days = €53 per day) • North East England • Day visitors £10 • Holiday cyclists £42 per day Institute of Transport & Tourism

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