Pregled bibliografske jedinice broj: 1121920
Analysis of Pedestrian Traffic Accidents Using the Multiple-Criteria Decision-Making Method - Case Study of the City of Zagreb
Analysis of Pedestrian Traffic Accidents Using the Multiple-Criteria Decision-Making Method - Case Study of the City of Zagreb // Proceedings of the International Scientific Conference "The Science and Development of Transport" (ZIRP 2020) / Ivanjko, Edouard ; Stanković, Ratko ; Novačko, Luka ; Petrović, Marjana (ur.).
Zagreb: Fakultet prometnih znanosti Sveučilišta u Zagrebu, 2020. str. 73-82 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Analysis of Pedestrian Traffic Accidents Using the Multiple-Criteria Decision-Making Method - Case Study of the City of Zagreb
Autori
Emanović, Marko ; Šimunović, Ljupko ; Jurak, Julijan ; Sikirić, Matija
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the International Scientific Conference "The Science and Development of Transport" (ZIRP 2020)
/ Ivanjko, Edouard ; Stanković, Ratko ; Novačko, Luka ; Petrović, Marjana - Zagreb : Fakultet prometnih znanosti Sveučilišta u Zagrebu, 2020, 73-82
Skup
International Scientific Conference Science and Traffic Development (ZIRP 2020)
Mjesto i datum
Online, 29.09.2020. - 30.09.2020
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Multi-criteria decision analysis ; pedestrian safety ; traffic accident ; AHP method ; pedestrian accident criteria
Sažetak
Multi-criteria decision-making(MCDM) or multiple-criteria decision analysis(MCDA)is a methodological approach to assessing the selection of the optimal variant by following certain set criteria.Traffic accidents involving pedestrians are increasingly a problem of urban areas.By increasing the level of motorization and financial capacity of the population, the number of pedestrian and motor vehicle trips is increasing, and thus their conflict points and areas. The multicriteria selection analysis was chosen because of the possibility of defining key factors and examining several different variants and how the weight of a factor influences the selection of the optimal variant.
Izvorni jezik
Engleski
Znanstvena područja
Tehnologija prometa i transport
POVEZANOST RADA
Ustanove:
Fakultet prometnih znanosti, Zagreb