hrcak mascot   Srce   HID

Izvorni znanstveni članak
https://doi.org/10.17559/TV-20190703194602

Optimal Routing for Safe Construction and Demolition Waste Transportation: A CVaR Criterion and Big Data Analytics Approach

Ying Qiu   ORCID icon orcid.org/0000-0002-4716-4454 ; Beijing Institute of Petrochemical Technology, School of Economics and Management, No.19 Qingyuan North Road, Daxing District, 102617, Beijing, China
Xinna Zhao ; Beijing Institute of Petrochemical Technology, School of Economics and Management, No.19 Qingyuan North Road, Daxing District, 102617, Beijing, China
Xiaohong Zhang ; Beijing Institute of Petrochemical Technology, School of Economics and Management, No.19 Qingyuan North Road, Daxing District, 102617, Beijing, China

Puni tekst: engleski, pdf (1 MB) str. 1128-1135 preuzimanja: 350* citiraj
APA 6th Edition
Qiu, Y., Zhao, X. i Zhang, X. (2019). Optimal Routing for Safe Construction and Demolition Waste Transportation: A CVaR Criterion and Big Data Analytics Approach. Tehnički vjesnik, 26 (4), 1128-1135. https://doi.org/10.17559/TV-20190703194602
MLA 8th Edition
Qiu, Ying, et al. "Optimal Routing for Safe Construction and Demolition Waste Transportation: A CVaR Criterion and Big Data Analytics Approach." Tehnički vjesnik, vol. 26, br. 4, 2019, str. 1128-1135. https://doi.org/10.17559/TV-20190703194602. Citirano 18.05.2021.
Chicago 17th Edition
Qiu, Ying, Xinna Zhao i Xiaohong Zhang. "Optimal Routing for Safe Construction and Demolition Waste Transportation: A CVaR Criterion and Big Data Analytics Approach." Tehnički vjesnik 26, br. 4 (2019): 1128-1135. https://doi.org/10.17559/TV-20190703194602
Harvard
Qiu, Y., Zhao, X., i Zhang, X. (2019). 'Optimal Routing for Safe Construction and Demolition Waste Transportation: A CVaR Criterion and Big Data Analytics Approach', Tehnički vjesnik, 26(4), str. 1128-1135. https://doi.org/10.17559/TV-20190703194602
Vancouver
Qiu Y, Zhao X, Zhang X. Optimal Routing for Safe Construction and Demolition Waste Transportation: A CVaR Criterion and Big Data Analytics Approach. Tehnički vjesnik [Internet]. 2019 [pristupljeno 18.05.2021.];26(4):1128-1135. https://doi.org/10.17559/TV-20190703194602
IEEE
Y. Qiu, X. Zhao i X. Zhang, "Optimal Routing for Safe Construction and Demolition Waste Transportation: A CVaR Criterion and Big Data Analytics Approach", Tehnički vjesnik, vol.26, br. 4, str. 1128-1135, 2019. [Online]. https://doi.org/10.17559/TV-20190703194602

Sažetak
Rapid urbanisation worldwide, especially in developing countries and areas, has led to the generation of large amounts of construction and demolition waste (C&DW). The resultant transportation demands pose severe threats to safe transportation and secure city operation. By considering the low-probability–high-consequence nature of C&DW traffic accidents and the effectiveness of route optimisation in transportation risk control, a risk-averse project was implemented. Furthermore, an optimal routing model based on the conditional value at risk (CVaR) criterion is proposed. The model considered various risk-averse attitudes of decision-makers. For practicality and for strongly supporting policy-making, big data technology, including the construction of multistructure databases and in-depth analysis, was applied to achieve the proposed CVaR routing model. Therefore, the present study extended the CVaR method to optimal routing design in the field of safe urban C&DW transportation and integrated the optimal model with big data technology.

Ključne riječi
big data technology; conditional value at risk (CVaR); construction and demolition waste (C&DW); risk-averse attitude; routing

Hrčak ID: 223315

URI
https://hrcak.srce.hr/223315

Posjeta: 644 *