Categorization of the condition of railway embankments using a multi-attribute utility theory

Meho Saša Kovacevic; Mario Bacic; Irina Stipanovic; Kenneth Gavin

doi:10.3390/app9235089

Categorization of the condition of railway embankments using a multi-attribute utility theory

Meho Saša Kovacevic, Mario Bacic, Irina Stipanovic, Kenneth Gavin

Construction Management and Engineering

Research output: Contribution to journal › Article › Academic › peer-review

12 Citations (Scopus)

148 Downloads (Pure)

Abstract

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.

Original language	English
Article number	5089
Journal	Applied Sciences
Volume	9
Issue number	23
DOIs	https://doi.org/10.3390/app9235089
Publication status	Published - 25 Nov 2019

Keywords

Condition assessment
Ground penetrating radar
Multi-attribute utility theory
Railway Embankment

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.3390/app9235089Licence: CC BY

applsci-09-05089Final published version, 4.75 MBLicence: CC BY

Cite this

@article{8b3fca23f087484fb390474c89fc8117,

title = "Categorization of the condition of railway embankments using a multi-attribute utility theory",

abstract = "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.",

keywords = "Condition assessment, Ground penetrating radar, Multi-attribute utility theory, Railway Embankment",

author = "Kovacevic, {Meho Sa{\v s}a} and Mario Bacic and Irina Stipanovic and Kenneth Gavin",

year = "2019",

month = nov,

day = "25",

doi = "10.3390/app9235089",

language = "English",

volume = "9",

journal = "Applied Sciences",

issn = "2076-3417",

publisher = "MDPI",

number = "23",

}

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 - 2019/11/25

Y1 - 2019/11/25

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

U2 - 10.3390/app9235089

DO - 10.3390/app9235089

M3 - Article

AN - SCOPUS:85076989290

SN - 2076-3417

VL - 9

JO - Applied Sciences

JF - Applied Sciences

IS - 23

M1 - 5089

ER -

Categorization of the condition of railway embankments using a multi-attribute utility theory

Abstract

Keywords

UN SDGs

Access to Document

Fingerprint

Cite this