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Techniques for the inference of mileage rates from MOT data

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Listed:
  • R.E. Wilson
  • S. Cairns
  • S. Notley
  • J. Anable
  • T. Chatterton
  • F. McLeod

Abstract

Mathematical and computational techniques are developed for the processing and analysis of annual Ministry of Transport roadworthiness (MOT) test data that the UK Department for Transport has placed in the public domain. First, techniques are given that clean erroneous records and a linking procedure is provided that permits the inference of an individual vehicle's mileage between consecutive tests. Methods are then developed that analyse aggregate mileage totals, as a function of vehicle age, class and geography. The inference of aggregate mileage rates as a function of time is then considered.

Suggested Citation

  • R.E. Wilson & S. Cairns & S. Notley & J. Anable & T. Chatterton & F. McLeod, 2013. "Techniques for the inference of mileage rates from MOT data," Transportation Planning and Technology, Taylor & Francis Journals, vol. 36(1), pages 130-143, February.
    • Handle: RePEc:taf:transp:v:36:y:2013:i:1:p:130-143
    DOI: 10.1080/03081060.2012.745768
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    Cited by:

    1. Mattioli, Giulio & Philips, Ian & Anable, Jillian & Chatterton, Tim, 2019. "Vulnerability to motor fuel price increases: Socio-spatial patterns in England," Journal of Transport Geography, Elsevier, vol. 78(C), pages 98-114.
    2. Wilson, R.E. & Anable, J. & Cairns, S. & Chatterton, T. & Notley, S. & Lees-Miller, J.D., 2013. "On the estimation of temporal mileage rates," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 60(C), pages 126-139.
    3. Craglia, Matteo & Cullen, Jonathan, 2020. "Do vehicle efficiency improvements lead to energy savings? The rebound effect in Great Britain," Energy Economics, Elsevier, vol. 88(C).
    4. Paúl Narváez-Villa & Blanca Arenas-Ramírez & José Mira & Francisco Aparicio-Izquierdo, 2021. "Analysis and Prediction of Vehicle Kilometers Traveled: A Case Study in Spain," IJERPH, MDPI, vol. 18(16), pages 1-21, August.

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