Table 3 Determination of the effect size of the variables
From: Development of decision-making system measuring the resilience level of highway projects
# | Dimensions | Cohen's d-value | Effect |
|---|---|---|---|
2 | Length of the disrupted roadway | 0.495 | Medium |
3 | Length of the link | 0.949 | Large |
4 | Number of lanes | 0.765 | Medium |
5 | Number of optional routes | 0.895 | Large |
7 | Presence of a railroad crossing | 0.767 | Medium |
8 | Distance of the link/node from the affected area | 0.066 | Small |
9 | Remoteness of the project | 0.656 | Medium |
10 | Time to start reconstruction works | 0.96 | Large |
13 | Ownership of integrated infrastructure assets | 0.809 | Large |
14 | Frequency of integration of resilience-enhancing activities into maintenance planning | 0.313 | Medium |
15 | Educational platform on resilience for infrastructure | 0.318 | Medium |
16 | Company employees' knowledge of resilience | 0.702 | Medium |
19 | Frequency of evaluation of resilience in the project | 0.328 | Medium |
21 | Availability of previous disaster data for the roadway | 1.106 | Large |
22 | Access to previous disaster data for the roadway | 0.879 | Large |
24 | Availability of emergency response equipment | 0.807 | Large |
26 | Accessibility to non-machinery resources (human and material) | 0.41 | Medium |
30 | Regular funding for resilience-enhancement activities | 0.73 | Medium |
31 | Time of allocation of funding | 0.73 | Medium |
34 | Resilience investment in new projects | 1.255 | Large |
35 | Frequency of investing in resilience-enhancing activities | 0.676 | Medium |