  We proposed a Bayesian Network Model (BNM) based on function-oriented
resilience framework and ontological interdependence among 10 system qualities
to probabilistically assess the general resilience of the road transportation
system in Beijing from 1997 to 2016. We tested the model with multi-source data
collected from various sectors. The system qualities were examined by analysis
of sensitivity and influence. The result shows that the general resilience of
Beijing's road system exhibits a "V" shape in its trend, with the probability
of being generally resilient between 50% and 70%, and at its minimum in 2006.
There was a steep increase in such a probability since 2006. In addition, the
general resilience of Beijing's road transportation system is most affected by
its capabilities: (1) to rebuild its performance, (2) to be robust, (3) to
adapt, (4) to change, and (5) to quickly repair damaged parts. The proposed BNM
is a promising tool for multi-dimensional and systematic analysis, instead of
finding a one-size-fits-all quantification criterion for resilience.
