We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Optimal Routing for Safe Construction and Demolition Waste Transportation: A CVaR Criterion and Big Data Analytics Approach.
- Authors
Ying QIU; Xinna ZHAO; Xiaohong ZHANG
- Abstract
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.
- Subjects
CONSTRUCTION &; demolition debris; BIG data; URBAN transportation; VALUE at risk; LOSS control; TRAFFIC accidents
- Publication
Technical Gazette / Tehnički Vjesnik, 2019, Vol 26, Issue 4, p1128
- ISSN
1330-3651
- Publication type
Article
- DOI
10.17559/TV-20190703194602