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A Data-Driven Approach to Asset Inspection Prioritization in National Highways, UK
National Highways is a major infrastructure owner in the UK. It owns and manages the strategic road network in England, comprising 4,500 miles of motorways and major A roads. It has a budget of £27.5bn for investment over a five-year period and is responsible for the construction, maintenance and operation of assets on the network, including the road pavement, structures, drainage and earthworks. This paper presents a risk-based approach to the prioritization of inspection of the earthworks assets using a data-driven approach. A risk-based method of prioritization enables National Highways to make informed decisions in an efficient and consistent manner. The method uses asset and operational data from different sources, as well as GIS algorithms and Python scripts to combine and process the data sets. The output is a consumable table that is used by geotechnical specialists to inform the frequency of inspections of the earthworks asset. The method has been kept deliberately transparent, simple and modular to ensure that it can be easily understood by those responsible for decision making and can adapt to changes in requirements.
A Data-Driven Approach to Asset Inspection Prioritization in National Highways, UK
National Highways is a major infrastructure owner in the UK. It owns and manages the strategic road network in England, comprising 4,500 miles of motorways and major A roads. It has a budget of £27.5bn for investment over a five-year period and is responsible for the construction, maintenance and operation of assets on the network, including the road pavement, structures, drainage and earthworks. This paper presents a risk-based approach to the prioritization of inspection of the earthworks assets using a data-driven approach. A risk-based method of prioritization enables National Highways to make informed decisions in an efficient and consistent manner. The method uses asset and operational data from different sources, as well as GIS algorithms and Python scripts to combine and process the data sets. The output is a consumable table that is used by geotechnical specialists to inform the frequency of inspections of the earthworks asset. The method has been kept deliberately transparent, simple and modular to ensure that it can be easily understood by those responsible for decision making and can adapt to changes in requirements.
A Data-Driven Approach to Asset Inspection Prioritization in National Highways, UK
Springer Ser.Geomech.,Geoengineer.
Gutierrez, Marte (Herausgeber:in) / Sakufiwa, Dennis (Autor:in) / Daly, Tony (Autor:in)
International Conference on Inforatmion Technology in Geo-Engineering ; 2024 ; Golden, CO, USA
03.11.2024
10 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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