LIPIcs.GIScience.2023.88.pdf
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To support a shift to active travel there is a vital need for better data to understand active travel networks: their extent, attributes and current utilisation. Using a big dataset of volunteered geographic information from an outdoor mapping smartphone app, a methodology has been developed to analyse recorded routes to identify missing links in a routable street and path network and to visualise the relative importance of different links of the active travel network. This methodology has then been used to analyse the network for a case study area around Winchester, UK, with new pathways equivalent to 8% of the existing network dataset identified. The automated method developed can be readily applied to other locations and the outputs used to augment existing network datasets and to inform the planning and development of active travel infrastructure.
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