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

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 guide...

Full description

Saved in:
Bibliographic Details
Published in:Transportation (Dordrecht) 2021-06, Vol.48 (3), p.1285-1309
Main Author: Pestel, Eric
Format: Article
Language:English
Subjects:
Classification
Economic Geography
Economics
Economics and Finance
Engineering Economics
Evaluation
Frequency distributions
Guidelines
Indicators
Innovation/Technology Management
Key performance indicators
Logistics
Marketing
Modelling
Organization
Quality assessment
Quality control
Quality management
Regional/Spatial Science
Statistical analysis
Statistical methods
Traffic models
Transportation
Travel
Travel demand
Travel demand modelling
Travel time
Trip distance distributions
Trip time distributions
Validity
Width
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1572-9435
0049-4488
1572-9435
DOI:10.1007/s11116-020-10095-y