Considerations about the quality assessment of travel time and travel distance distributions in transport modelling: a proposal for a standardized methodology

Eric Pestel ()
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Eric Pestel: University of Stuttgart

Transportation, 2021, vol. 48, issue 3, No 7, 1285-1309

Abstract: Abstract In travel demand modelling, trip distance distributions or trip time distributions are used to evaluate how well a model fits with observed sample data. Therefore, the comparison of distributions is an essential part in the model validation process. Despite its importance, the common modelling guidelines from the UK, the USA or Austria provide little information about the correct structure and handling of such distributions. Likewise, common statistical methods are not practicable for the validation of transport models. This lack of rules leads to individual solutions, which complicate a model validation and the comparison of models. For example, when comparing two distributions the quality indicator strongly depends on the number of classes. Therefore, guidelines for model validation need to suggest an appropriate way to determine the number of classes. The paper suggests a method for evaluating trip distance distributions and trip time distributions within the model validation process of a travel demand model. It proposes (a) indicators for a classification which consider mode-specific trip distances and trip times (b) a generic classification method based on an equiquantile class width, quality indicators for comparing two distributions and (c) to use relative frequencies instead of absolute frequencies for the calculation of the quality indicators.

Keywords: Quality assessment; Travel demand modelling; Trip distance distributions; Trip time distributions; Frequency distributions; Key performance indicators (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s11116-020-10095-y

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