Lovelace, R orcid.org/0000-0001-5679-6536, Goodman, A, Aldred, R et al. (3 more authors) (2016) The Propensity to Cycle Tool: An open source online system for sustainable transport planning. Journal of Transport and Land Use, 10 (1). pp. 505-528. ISSN 1938-7849
Abstract
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 cycling rates. Yet for infrastructure and other cycling measures to be effective, it is important to intervene in the right places, such as along 'desire lines' of high latent demand. This creates the need for tools and methods to help answer the question 'where to build?'. Following a brief review of the policy and research context related to this question, this paper describes the design, features and potential applications of such a tool. The Propensity to Cycle Tool (PCT) is an online, interactive planning support system which was initially developed to explore and map cycling potential across England (see www.pct.bike). Based on origin-destination data, it models and visualises cycling levels at area, desire line, route and route network levels, for current levels of cycling, and for scenario-based 'cycling futures'. Four scenarios are presented, including 'Go Dutch' and 'Ebikes', which explore what would happen if English people cycled as much as Dutch people and the potential impact of electric cycles on cycling uptake. The cost effectiveness of investment depends not only on the number of additional trips cycled, but on wider impacts such as health and carbon benefits. The PCT reports these at area, desire line, and route level for each scenario. The PCT is open source, facilitating the creation of additional scenarios and its deployment in new contexts. We conclude that the PCT illustrates the potential of online tools to inform transport decisions and raises the wider issue of how models should be used in transport planning.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 Robin Lovelace, Anna Goodman, Rachel Aldred, Nikolai Berkoff, Ali Abbas, and James Woodcock. Licensed under the Creative Commons Attribution – NonCommercial License 3.0. |
Keywords: | Cycling; Planning; Modelling; Participatory |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Spatial Modelling and Dynamics (Leeds) |
Funding Information: | Funder Grant number Department of Transport RM5019 SO7766 Department of Transport RM5019 SO7766 Phase 2 |
Depositing User: | Symplectic Publications |
Date Deposited: | 27 Oct 2016 09:56 |
Last Modified: | 05 Oct 2017 16:12 |
Published Version: | http://dx.doi.org/10.5198/jtlu.2016.862 |
Status: | Published |
Publisher: | University of Minnesota, Center for Transportation Studies |
Identification Number: | 10.5198/jtlu.2016.862 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:106606 |