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Pregled bibliografske jedinice broj: 1034129

Categorization of the Condition of Railway Embankments Using a Multi-Attribute Utility Theory


Kovačević, Meho Saša; Bačić, Mario; Stipanović, Irina; Gavin, Kenneth
Categorization of the Condition of Railway Embankments Using a Multi-Attribute Utility Theory // Applied Sciences-Basel, 9 (2019), 23; 5089, 17 doi:10.3390/app9235089 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1034129 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Categorization of the Condition of Railway Embankments Using a Multi-Attribute Utility Theory

Autori
Kovačević, Meho Saša ; Bačić, Mario ; Stipanović, Irina ; Gavin, Kenneth

Izvornik
Applied Sciences-Basel (2076-3417) 9 (2019), 23; 5089, 17

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
railway embankment ; condition assessment ; ground penetrating radar ; multi-attribute utility theory

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Građevinarstvo



POVEZANOST RADA


Projekti:
EK-H2020-636285 - Decision Support Tool for Rail Infrastructure Managers (DESTinationRAIL) (Kovačević, Meho-Saša) ( CroRIS)

Ustanove:
Građevinski fakultet, Zagreb

Poveznice na cjeloviti tekst rada:

doi www.mdpi.com

Citiraj ovu publikaciju:

Kovačević, Meho Saša; Bačić, Mario; Stipanović, Irina; Gavin, Kenneth
Categorization of the Condition of Railway Embankments Using a Multi-Attribute Utility Theory // Applied Sciences-Basel, 9 (2019), 23; 5089, 17 doi:10.3390/app9235089 (međunarodna recenzija, članak, znanstveni)
Kovačević, M., Bačić, M., Stipanović, I. & Gavin, K. (2019) Categorization of the Condition of Railway Embankments Using a Multi-Attribute Utility Theory. Applied Sciences-Basel, 9 (23), 5089, 17 doi:10.3390/app9235089.
@article{article, author = {Kova\v{c}evi\'{c}, Meho Sa\v{s}a and Ba\v{c}i\'{c}, Mario and Stipanovi\'{c}, Irina and Gavin, Kenneth}, year = {2019}, pages = {17}, DOI = {10.3390/app9235089}, chapter = {5089}, keywords = {railway embankment, condition assessment, ground penetrating radar, multi-attribute utility theory}, journal = {Applied Sciences-Basel}, doi = {10.3390/app9235089}, volume = {9}, number = {23}, issn = {2076-3417}, title = {Categorization of the Condition of Railway Embankments Using a Multi-Attribute Utility Theory}, keyword = {railway embankment, condition assessment, ground penetrating radar, multi-attribute utility theory}, chapternumber = {5089} }
@article{article, author = {Kova\v{c}evi\'{c}, Meho Sa\v{s}a and Ba\v{c}i\'{c}, Mario and Stipanovi\'{c}, Irina and Gavin, Kenneth}, year = {2019}, pages = {17}, DOI = {10.3390/app9235089}, chapter = {5089}, keywords = {railway embankment, condition assessment, ground penetrating radar, multi-attribute utility theory}, journal = {Applied Sciences-Basel}, doi = {10.3390/app9235089}, volume = {9}, number = {23}, issn = {2076-3417}, title = {Categorization of the Condition of Railway Embankments Using a Multi-Attribute Utility Theory}, keyword = {railway embankment, condition assessment, ground penetrating radar, multi-attribute utility theory}, chapternumber = {5089} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


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