IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

Design speeds and acceleration characteristics of bicycle traffic for use in planning, design and appraisal

  • Parkin, John
  • Rotheram, Jonathon
Registered author(s):

    This paper reports the results of a study of a cohort of cyclists to determine their speed and acceleration characteristics relative to gradient and other influencing factors in order to supply data for planners, designers and appraisers of cycle infrastructure schemes. A cohort of everyday cyclists was supplied with a global positioning system device and a heart rate monitor and asked to collect data from their journeys in Leeds, UK. The analysis determines the cyclists' speeds and accelerations at every point on their journey and elevation data, corroborated by mapping information, was used to determine the gradient. Two linear regression models of speed and acceleration were estimated and show that the influence of a downhill gradient on speed is less pronounced than the effect of an uphill gradient. The results indicate an eighty-fifth percentile speed on the flat of 22Â kph, and for a downhill gradient of 3%, 25Â kph. The power required to cycle has been estimated and shows that cyclists deliver around 150Â W on the flat, but that this rises to around 250Â W climbing hills. Mean acceleration on the flat is 0.231Â m/s2 and the average power output over the acceleration phase, which is of mean duration 26Â s, is approximately 120Â W. Air resistance accounts for approximately 70% of the resistive force when cycling at design speed. It is recommended that designers adopt 25Â kph as a design speed for gradients less than 3%, but that consideration should be given to design speeds of up to 35Â kph for steeper gradients. Free-flow speeds in this range should be used when modelling mode and route choices and in benefit appraisal.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL: http://www.sciencedirect.com/science/article/B6VGG-4YRGJ7X-1/2/8f8f27d9ad6d598f0279ea03c80e0b88
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Article provided by Elsevier in its journal Transport Policy.

    Volume (Year): 17 (2010)
    Issue (Month): 5 (September)
    Pages: 335-341

    as
    in new window

    Handle: RePEc:eee:trapol:v:17:y:2010:i:5:p:335-341
    Contact details of provider: Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/30473/description#description

    Order Information: Postal: http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
    Web: https://shop.elsevier.com/order?id=30473&ref=30473_01_ooc_1&version=01

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    as in new window
    1. Wardman, Mark & Tight, Miles & Page, Matthew, 2007. "Factors influencing the propensity to cycle to work," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(4), pages 339-350, May.
    2. John Parkin & Mark Wardman & Matthew Page, 2008. "Estimation of the determinants of bicycle mode share for the journey to work using census data," Transportation, Springer, vol. 35(1), pages 93-109, January.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:eee:trapol:v:17:y:2010:i:5:p:335-341. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei)

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.