IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v42y2015i3p450-467.html
   My bibliography  Save this article

Representing Active Travel: A Formative Evaluation of a Computer Visualisation Tool Demonstrating a New Walking and Cycling Route

Author

Listed:
  • Emma M Bill

    (Department of Civil and Environmental Engineering, University of Strathclyde, Colville Building, North Portland Street, Glasgow G1 1XM, Scotland)

  • Graham Baker

    (Institute for Sport, Physical Education and Health Sciences, University of Edinburgh, St Leonard's Land, Holyrood Road, Edinburgh EH8 8AQ, Scotland)

  • Neil S Ferguson

    (Department of Civil and Environmental Engineering, University of Strathclyde, John Anderson Building, Glasgow G4 0NG, Scotland)

  • David Drinkwater

    (School of Computing Sciences, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, England)

  • Nanette Mutrie

    (Institute for Sport, Physical Education and Health Sciences, University of Edinburgh, Moray House School of Education, St Leonard's Land, Holyrood Road, Edinburgh EH8 8AQ, Scotland)

Abstract

Transport and public health researchers have a shared interest in the promotion of active travel. Walking and cycling are activities that may help to achieve health benefits while also contributing to wider sustainability goals, such as a reduction in carbon emissions from transport, improvements in air quality, and reduced congestion. A variety of interventions have been used to promote travel behaviour change, for example, infrastructure change and personalised travel planning. Some researchers have directed their interest towards the potential of technology and visual representation to motivate and engage individuals to increase their sustainability practices. Computer visualisation tools may be an instrument to prompt behaviour change, leading to a shift towards more active modes of travel. Visualisation technology has been used for many purposes, including raising awareness of global environmental problems, scenario modelling, and the representation of walking and cycling futures. Recently, the availability of large datasets has led to the visualisation of system-usage data from cycle-hire schemes. Elsewhere, various representations of personal journey data have been evaluated in terms of their capabilities to change behaviour. Currently, it is thought that the technical possibilities of visualisations exceed the knowledge of their correct application. Therefore, methods and guidelines for producing and applying visualisations are required. To our knowledge there has been no evaluation of the use of a visualisation that shows infrastructure change to promote active travel. In this study participants were asked to watch a computer visualisation of a new walking and cycling route in Glasgow. This animated visualisation included an existing segregated cycling facility and pedestrian and cyclist bridge. Eleven semistructured interviews and two focus groups considered the potential utility of visualisation in promoting a new walking and cycling facility and identified any limitations of this approach and potential improvements. The results suggested that visualisation technology has the potential to stimulate debate on in-journey accounts of active travel and the embodied experience of cycling. The built environment and psychosocial factors that culminate in road-user conflicts were discussed. The perception of nonmotorised modes of transport as risky was not overlooked by participants, who shared their knowledge of cycling road safety and ‘correct’ walking and cycling behaviours. Participants responded positively to the appearance of protection from traffic achieved by the new routes. However, many criticised the limited coverage of the visualisation and low traffic volumes. The decision to cycle is often made in the context of real-life constraints that were not replicated fully in this visualisation. Further development of visualisation technology may be needed before it can be used successfully for active travel interventions.

Suggested Citation

  • Emma M Bill & Graham Baker & Neil S Ferguson & David Drinkwater & Nanette Mutrie, 2015. "Representing Active Travel: A Formative Evaluation of a Computer Visualisation Tool Demonstrating a New Walking and Cycling Route," Environment and Planning B, , vol. 42(3), pages 450-467, June.
  • Handle: RePEc:sae:envirb:v:42:y:2015:i:3:p:450-467
    DOI: 10.1068/b130155p
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/b130155p
    Download Restriction: no

    File URL: https://libkey.io/10.1068/b130155p?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Tight, Miles & Timms, Paul & Banister, David & Bowmaker, Jemma & Copas, Jonathan & Day, Andy & Drinkwater, David & Givoni, Moshe & Gühnemann, Astrid & Lawler, Mary & Macmillen, James & Miles, Andrew &, 2011. "Visions for a walking and cycling focussed urban transport system," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1580-1589.
    2. O’Brien, Oliver & Cheshire, James & Batty, Michael, 2014. "Mining bicycle sharing data for generating insights into sustainable transport systems," Journal of Transport Geography, Elsevier, vol. 34(C), pages 262-273.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bongiorno, Christian & Santucci, Daniele & Kon, Fabio & Santi, Paolo & Ratti, Carlo, 2019. "Comparing bicycling and pedestrian mobility: Patterns of non-motorized human mobility in Greater Boston," Journal of Transport Geography, Elsevier, vol. 80(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhan Gao & Sheng Wei & Lei Wang & Sijia Fan, 2020. "Exploring the Spatial-Temporal Characteristics of Traditional Public Bicycle Use in Yancheng, China: A Perspective of Time Series Cluster of Stations," Sustainability, MDPI, vol. 12(16), pages 1-17, August.
    2. Mingyang Du & Lin Cheng, 2018. "Better Understanding the Characteristics and Influential Factors of Different Travel Patterns in Free-Floating Bike Sharing: Evidence from Nanjing, China," Sustainability, MDPI, vol. 10(4), pages 1-14, April.
    3. Médard de Chardon, Cyrille & Caruso, Geoffrey & Thomas, Isabelle, 2017. "Bicycle sharing system ‘success’ determinants," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 202-214.
    4. Radzimski, Adam & Dzięcielski, Michał, 2021. "Exploring the relationship between bike-sharing and public transport in Poznań, Poland," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 189-202.
    5. Qikang Zhong & Bo Li & Tian Dong, 2024. "Building sustainable slow communities: the impact of built environments on leisure-time physical activities in Shanghai," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-21, December.
    6. Hu, Yujie & Zhang, Yongping & Lamb, David & Zhang, Mingming & Jia, Peng, 2019. "Examining and optimizing the BCycle bike-sharing system – A pilot study in Colorado, US," Applied Energy, Elsevier, vol. 247(C), pages 1-12.
    7. Jie Bao & Chengcheng Xu & Pan Liu & Wei Wang, 2017. "Exploring Bikesharing Travel Patterns and Trip Purposes Using Smart Card Data and Online Point of Interests," Networks and Spatial Economics, Springer, vol. 17(4), pages 1231-1253, December.
    8. Duque, Ricardo B. & Gray, David & Harrison, Mariah & Davey, Elizabeth, 2014. "Invisible commuters: assessing a university’s eco-friendly transportation policies and commuting behaviours," Journal of Transport Geography, Elsevier, vol. 38(C), pages 122-136.
    9. Echeverría, Lucía & Giménez-Nadal, J. Ignacio & Alberto Molina, José, 2022. "Who uses green mobility? Exploring profiles in developed countries," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 247-265.
    10. Wang, Jueyu & Lindsey, Greg, 2019. "Do new bike share stations increase member use: A quasi-experimental study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 1-11.
    11. Marc Dijk & Moshe Givoni & Karen Diederiks, 2018. "Piling up or Packaging Policies? An Ex-Post Analysis of Modal Shift in Four Cities," Energies, MDPI, vol. 11(6), pages 1-20, May.
    12. Corcoran, Jonathan & Li, Tiebei & Rohde, David & Charles-Edwards, Elin & Mateo-Babiano, Derlie, 2014. "Spatio-temporal patterns of a Public Bicycle Sharing Program: the effect of weather and calendar events," Journal of Transport Geography, Elsevier, vol. 41(C), pages 292-305.
    13. Ma, Xinwei & Ji, Yanjie & Yuan, Yufei & Van Oort, Niels & Jin, Yuchuan & Hoogendoorn, Serge, 2020. "A comparison in travel patterns and determinants of user demand between docked and dockless bike-sharing systems using multi-sourced data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 148-173.
    14. Caulfield, Brian & O'Mahony, Margaret & Brazil, William & Weldon, Peter, 2017. "Examining usage patterns of a bike-sharing scheme in a medium sized city," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 152-161.
    15. Saberi, Meead & Ghamami, Mehrnaz & Gu, Yi & Shojaei, Mohammad Hossein (Sam) & Fishman, Elliot, 2018. "Understanding the impacts of a public transit disruption on bicycle sharing mobility patterns: A case of Tube strike in London," Journal of Transport Geography, Elsevier, vol. 66(C), pages 154-166.
    16. Elliot Fishman, 2016. "Cycling as transport," Transport Reviews, Taylor & Francis Journals, vol. 36(1), pages 1-8, January.
    17. Lyons, Glenn, 2020. "Walking as a service – Does it have legs?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 271-284.
    18. Lovelace, Robin & Beecham, Roger & Heinen, Eva & Vidal Tortosa, Eugeni & Yang, Yuanxuan & Slade, Chris & Roberts, Antonia, 2020. "Is the London Cycle Hire Scheme becoming more inclusive? An evaluation of the shifting spatial distribution of uptake based on 70 million trips," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 1-15.
    19. Tiziana Campisi & Giovanna Acampa & Giorgia Marino & Giovanni Tesoriere, 2020. "Cycling Master Plans in Italy: The I-BIM Feasibility Tool for Cost and Safety Assessments," Sustainability, MDPI, vol. 12(11), pages 1-20, June.
    20. Todd, James & O'Brien, Oliver & Cheshire, James, 2021. "A global comparison of bicycle sharing systems," Journal of Transport Geography, Elsevier, vol. 94(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:envirb:v:42:y:2015:i:3:p:450-467. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.