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Hello Alex, thanks for the detailed feedback!
You are right about the non-significant variables. Regarding model 3, we have 2 categorical variables with multiple levels. Some levels of both variables have p<0.05, therefore we kept them in the model we evaluated. In models 1 and 2, we kept the summary with all coefficients for transparency, but as you pointed out, they should be omitted for the final interpretation of the model.
Indeed, we didn't comment on the potential violation of assumptions and alternative modeling options. Non-parametric models, non-linear models and time series regression models are all valid extensions for adequately describing the relationship between weather and traffic disruptions.