TY - JOUR
T1 - Categorization of the condition of railway embankments using a multi-attribute utility theory
AU - Kovacevic, Meho Saša
AU - Bacic, Mario
AU - Stipanovic, Irina
AU - Gavin, Kenneth
PY - 2019
Y1 - 2019
N2 - In the current economic climate, it is crucial to optimize the use of all resources regarding railway infrastructure maintenance. In this paper, a multi-attribute decision support framework is applied to categorize railway embankments in order to prioritize maintenance activities. The paper describes a methodology to first determine the current condition of embankments using a combination of ground penetrating radar (GPR) surveys, visual inspection, and historical data about maintenance activities. These attributes are then used for the development of a multi-attribute utility theory model, which can be used as a support for decision making process for maintenance planning. The methodology is demonstrated for the categorization of 181 km of railway embankments in Croatia.
AB - In the current economic climate, it is crucial to optimize the use of all resources regarding railway infrastructure maintenance. In this paper, a multi-attribute decision support framework is applied to categorize railway embankments in order to prioritize maintenance activities. The paper describes a methodology to first determine the current condition of embankments using a combination of ground penetrating radar (GPR) surveys, visual inspection, and historical data about maintenance activities. These attributes are then used for the development of a multi-attribute utility theory model, which can be used as a support for decision making process for maintenance planning. The methodology is demonstrated for the categorization of 181 km of railway embankments in Croatia.
KW - Condition assessment
KW - Ground penetrating radar
KW - Multi-attribute utility theory
KW - Railway Embankment
UR - http://www.scopus.com/inward/record.url?scp=85076989290&partnerID=8YFLogxK
U2 - 10.3390/app9235089
DO - 10.3390/app9235089
M3 - Article
AN - SCOPUS:85076989290
VL - 9
JO - Applied Sciences (Switzerland)
JF - Applied Sciences (Switzerland)
IS - 23
M1 - 5089
ER -