Towards Building an Interactive Evaluation framework for Decision-makers to Manage Large Crowd.

Managing a massive crowd at a large event is a challenging task for the crowd managers. To deal with different levels of the Crowd, the decision-making authorities need a good understanding of sound knowledge and hands-on practice of crowd handling scenarios under different situations. The objective of this paper is to build an interactive evaluation framework for decision-makers or stakeholders to evaluate their level of decision-making skills dealing with intensive crowd scenarios in different environments. The proposed tool will facilitate crowd managers to gain mindset, skillset, and toolset for the flow of knowledge by experiencing different crowd scenario patterns, which will help them to take on spot better faster, and accurate decisions in real-life crowd scenarios. This research develops a conceptual evaluation tool that hypothesizes a positive and significant relationship between knowledge capture and knowledge implementation, which in turn contributes to the enhanced performance of decision-makers to handle any level of the mass crowd gathering events like political rallies, sports, or any religious gatherings across the globe.