Understanding active travel networks using GPS data from an outdoor mapping app
Understanding active travel networks using GPS data from an outdoor mapping app
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.
Active travel, GPS, map construction, volunteered geographic information, active travel
88:1-88:6
Schloss Dagstuhl – Leibniz-Zentrum für Informatik
Young, Marcus A.
b7679822-1e61-47d0-b7bf-3e33a12fa8fe
7 September 2023
Young, Marcus A.
b7679822-1e61-47d0-b7bf-3e33a12fa8fe
Young, Marcus A.
(2023)
Understanding active travel networks using GPS data from an outdoor mapping app.
Beecham, Roger, Long, Jed A., Smith, Dianna, Zhao, Qunshan and Wise, Sarah
(eds.)
In 12th International Conference on Geographic Information Science, GIScience 2023.
vol. 277,
Schloss Dagstuhl – Leibniz-Zentrum für Informatik.
.
(doi:10.4230/LIPIcs.GIScience.2023.88).
Record type:
Conference or Workshop Item
(Paper)
Abstract
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.
Text
LIPIcs-GIScience-2023-88
- Version of Record
More information
Published date: 7 September 2023
Additional Information:
Funding Information:
The research described in this paper is part of a larger on-going project - Routable Active Travel Infrastructure Network (RATIN) - being carried out by researchers at the University of Southampton and funded by Ordnance Survey. Phase one of the project was a scoping study to identify data and methods which could help provide a comprehensive routable active
Publisher Copyright:
© Marcus A. Young.
Venue - Dates:
12th International Conference on Geographic Information Science, University of Leeds, Leeds, United Kingdom, 2023-09-13 - 2023-09-15
Keywords:
Active travel, GPS, map construction, volunteered geographic information, active travel
Identifiers
Local EPrints ID: 482150
URI: http://eprints.soton.ac.uk/id/eprint/482150
ISSN: 1868-8969
PURE UUID: 44d67c34-c017-40ab-a977-8eec5134b9d5
Catalogue record
Date deposited: 20 Sep 2023 16:40
Last modified: 18 Mar 2024 03:48
Export record
Altmetrics
Contributors
Editor:
Roger Beecham
Editor:
Jed A. Long
Editor:
Dianna Smith
Editor:
Qunshan Zhao
Editor:
Sarah Wise
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics
