The aim of this Diploma Thesis is to investigate the critical factors of pedestrians’ behaviour and safety in Greece. To fulfill this objective, two binary logistic regression models and a Structural Equation Model (SEM) were developed using data from the second edition of the ESRA (E-Survey on Road Users’ Attitudes) survey. Crossing the road at places other than at a nearby (distance less than 30m) designated pedestrian crossing and crossing the road when a pedestrian light is red have been selected as the dependent variables of the developed statistical models. Several statistical relationships were discovered and quantified correlating these two unsafe self-declared behaviours with five latent variables and other independent variables. The covariance of the two dependent variables is positive and statistical significant, revealing that a pedestrian who will engage more frequently in crossing the road with red pedestrian light is more likely to also engage in crossing the road at places other than at a nearby pedestrian crossing. Lastly, recommendations that could enhance pedestrians’ safety, such as educational and training campaigns and targeted infrastructure interventions are provided.
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