Highlights Daily travel distances from four data sets covering 190,000 driving days and 9.5 million km are analysed.Goodness of fit is compared for log-normal, Weibull and Gamma distributions.The ability to predict rare long-distance driving and utility factors are covered.The importance of observation period on goodness of fit is highlighted.

    Abstract Plug-in electric vehicles (PEV) can reduce greenhouse gas emissions. However, the utility of PEVs, as well as reduction of emissions is highly dependent on daily vehicle kilometres travelled (VKT). Further, the daily VKT by individual passenger cars vary strongly between days. A common method to analyse individual daily VKT is to fit distribution functions and to further analyse these fits. However, several distributions for individual daily VKT have been discussed in the literature without conclusive decision on the best distribution. Here we analyse three two-parameter distribution functions for the variation in daily VKT with four sets of travel data covering a total of 190,000 driving days and 9.5 million VKT. Specifically, we look at overall performance of the distributions on the data using four goodness of fit measures, as well as the consequence of choosing one distribution over the others for two common PEV applications: the days requiring adaptation for battery electric vehicles and the utility factor for plug-in hybrid electric vehicles. We find the Weibull distribution to fit most vehicles well but not all and at the same time yielding good predictions for PEV related attributes. Furthermore, the choice of distribution impacts PEV usage factors. Here, the Weibull distribution yields reliable estimates for electric vehicle applications whereas the log-normal distribution yields more conservative estimates for PEV usage factors. Our results help to guide the choice of distribution for a specific research question utilising driving data and provide a methodological advancement in the application of distribution functions to longitudinal driving data.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    On the distribution of individual daily driving distances


    Contributors:


    Publication date :

    2017-04-19


    Size :

    15 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    On the distribution of individual daily driving distances

    Plötz, Patrick | Online Contents | 2017


    On the distribution of individual daily driving distances

    Plötz, Patrick / Jakobsson, Niklas / Sprei, Frances | FID move | 2017

    Free access


    Estimation of distances while driving

    Burney, Georgina M. | TIBKAT | 1977


    Estimation of Distances While Driving

    G. M. Burney | NTIS | 1977