Work

Identifying and estimating causal effects of bridge failures from observational data

Year: 2023

Type: article

Abstract: This paper presents a causal analysis aimed at identifying and estimating causal effects with regard to bridge failures under extreme events. Observational data on about 299 bridge incidents were used to conduct this causal investigation and examine bridges' performance. As causal investigations can also deliver counterfactual assessments of parallel worlds, a causal analysis can serve as a high-merit methodology to evaluate the performance of critical bridges. Our findings quantify the causal impacts of various factors spanning the characteristics of bridges, traffic demands, and incident type (i.e., fire, high wind, scour/flood, earthquake, and impact/collision). More specifically, our analysis reveals high causal effects related to the used structural system, construction materials, and demand served.

Source: Journal of Infrastructure Intelligence and Resilience

DOI: 10.1016/j.iintel.2023.100068

Authors: Aybike Özyüksel Çiftçioğlu, M.Z. Naser

Institutions: Manisa Celal Bayar University, Clemson University

Language: English

Topic: Construction Engineering and Safety

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: gold

Estimated APC paid: $1,600