On the estimation of temporal mileage rates

R.E. Wilson, J. Anable, S. Cairns, T. Chatterton, S. Notley and J.D. Lees-Miller

Transportation Research Part E: Logistics and Transportation Review, 2013, vol. 60, issue C, 126-139

Abstract: Mathematical and computational techniques are developed for the analysis of annual roadworthiness (MOT) test data that the UK Department for Transport has placed in the public domain. This paper develops a new theory to estimate fine-scale temporal (e.g., monthly) variations in vehicle mileage at a population level – derived from coarse-scale (e.g., annual) mileage data at an individual vehicle level. Numerical time-stepping schemes are derived from the theory and are tested on synthetic data to permit comparison with a known ground-truth mileage rate. Finally, we consider first steps in applying the methods directly to the MOT data set.

Keywords: Car use; Mileage rates; Mathematical methods (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1366554513001191
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:transe:v:60:y:2013:i:c:p:126-139

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/bibliographic
http://www.elsevier. ... 600244/bibliographic

DOI: 10.1016/j.tre.2013.06.004

Access Statistics for this article

Transportation Research Part E: Logistics and Transportation Review is currently edited by W. Talley

More articles in Transportation Research Part E: Logistics and Transportation Review from Elsevier
Bibliographic data for series maintained by Catherine Liu ().