Morgan, M orcid.org/0000-0002-9488-9183 and Lovelace, R orcid.org/0000-0001-5679-6536 (2020) Travel flow aggregation: Nationally scalable methods for interactive and online visualisation of transport behaviour at the road network level. Environment and Planning B: Urban Analytics and City Science. ISSN 2399-8083
Abstract
Origin–destination datasets representing millions of travel desire lines and routes are common in transport planning, but visualising such datasets is challenging. Existing methods often produce illegible results, low spatial resolution, or only a relative indication of the variation of flow on each road. This paper presents a new open-source algorithm called overline along with an accompanying method, to efficiently convert disparate geographical transport data into a policy-relevant summary form. Specifically, overline aggregates many individual routes into a route network map. These vector and raster maps provide total flow counts for each road and junction and are scalable to regional or national datasets. The method is demonstrated by visualising four million routes for a publicly accessible web mapping application, the Propensity to Cycle Tool, across the whole of England and Wales.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s) 2020. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
Keywords: | Origin–destination, flow, transport networks, visualisation, spatial analysis |
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: Sustainable Transport Policy (Leeds) |
Funding Information: | Funder Grant number Department of Transport RM5019 SO7766 Phase 2 Department of Transport No External Reference EPSRC (Engineering and Physical Sciences Research Council) EP/R035288/1 Welsh Government RG94536 Department of Transport RG98876 Department of Transport No External Reference |
Depositing User: | Symplectic Publications |
Date Deposited: | 02 Sep 2020 15:22 |
Last Modified: | 25 Jun 2023 22:24 |
Status: | Published online |
Publisher: | SAGE Publications |
Identification Number: | 10.1177/2399808320942779 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:164987 |