Crash data indicators, such as frequency and severity, are used to assess road safety. However, when the indicators of certain locations are low or unavailable, their predictability and reliability can be measured using indirect measures or Surrogate Safety Measures (SSM). Areas like urban school zones have high traffic volume and vulnerable pedestrians. The present study aims to conduct traffic conflict analysis at schools combined with a scientific questionnaire analysis. Parameters like Time to Collision (TTC) and Conflicting Speed (CS) are determined by the temporal and physical proximity of road-users during potential conflict situations. These values were extracted at these schools, representing the severity index. Further, the debriefing of students about the road-crossing scenario at their school’s proximity was evaluated using statistically significant parameters, obtained from the responses of over 170 school-children from three different schools in Chandigarh city. The methodology outlined in the study has facilitated the detection of vulnerable areas outside school gates that are susceptible to road accidents, therefore serving as a proactive alternative to traditional crash analysis that is based on historical data.