A NTUA Diploma Thesis titled “Investigation of Illegal Pedestrian Crossings in the Center of Athens” was recently presented by Marianthi Alverti. For this purpose a Stated Preference (SP) survey was structured in order to examine decision-making scenarios based on varying conditions of travel time, perceived crash risk, and personal comfort, with a dataset of of 212 responses. The analysis utilized  binary logistic regression to examine the likelihood of illegal crossing, and generalized linear model to investigate the trade-offs pedestrians make between safety, time, and convenience given three different scenarios of camera use, traffic light with timer, and the baseline scenario to choose from. The models highlight the influence of time pressure, traffic conditions, and social components on individual decisions. The findings aim to showcase the importance of pedestrian decisions to prevent the likelihood of a road crash and, in this way, support more behavior-aware policy design, ultimately contributing to safer urban mobility systems.