作者: Robin Lovelace , Anna Goodman , Rachel Aldred , Nikolai Berkoff , Ali Abbas
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摘要: Getting people cycling is an increasingly common objective in transport planning institutions worldwide. A growing evidence base indicates that high quality infrastructure can boost local rates. Yet for and other measures to be effective, it important intervene the right places, such as along 'desire lines' of latent demand. This creates need tools methods help answer question 'where build?'. Following a brief review policy research context related this question, paper describes design, features potential applications tool. The Propensity Cycle Tool (PCT) online, interactive support system which was initially developed explore map across England (see www.pct.bike). Based on origin-destination data, models visualises levels at area, desire line, route network levels, current cycling, scenario-based 'cycling futures'. Four scenarios are presented, including 'Go Dutch' 'Ebikes', what would happen if English cycled much Dutch impact electric cycles uptake. cost effectiveness investment depends not only number additional trips cycled, but wider impacts health carbon benefits. PCT reports these level each scenario. open source, facilitating creation its deployment new contexts. We conclude illustrates online inform decisions raises issue how should used planning.