Road safety has emerged as a global priority due to the multifaceted consequences of road traffic accidents (RTAs) in modern society. The study is focused on the development of an accident prediction model (APM) and identifying the influence of geometric factors on road safety. The study section of the highway was divided into 190 identical segments based on geometric characteristics. Eight models have been developed for establishing the relationship between crash numbers and respective parameters. The significance of the models has been validated by the Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC). The study unveils that the shoulder and lane width, numbers, and radius of the horizontal curve significantly influence RTAs. However, the gradient and shoulder type have less impact on road accident frequency. The research recommendations for the improvement of safety are increasing the radius of the curves, lane, and shoulder width. Similarly, the study suggests the reduction of the number of horizontal curves for the reduction of crash frequency.

The hit rate of the media increasingly grew from day to day on sexual harassment and other crime as sex has its base.. Therefore, to assess the response of the global social scientists, a study has been conducted with the support of scientometric tools. Relevant data were downloaded from the SCOPUS on “Continence”. Hypotheses were framed and duly tested with appropriate statistical tools. The Year wise growth of publications, language wise publications, type of documents involved in the publications and top ten journals were assessed. The prediction of Lotka has been tested with KS Test. Finally, it is suggested to encourage the global social scientists to publish many more articles on the ethical background to improve the value of ethics of the society.