RISK RESILIENCE STRATEGIES FOR CROWD DISASTER PRONE AREAS AT HARIDWAR

Abstract

Urban development in developing countries is unplanned and does not include measures to reduce disaster risk. Today's government agencies are struggling to provide basic services to a growing number of city dwellers and fail to address the city's risks. Rapid urban development and population concentration in high-risk areas with little control over building laws and guidelines represents a need to investigate weaknesses in government systems and governance. Disaster-related disasters are a common category of disasters prevalent in countries such as India. Many people die each year due to inefficient planning and crowd control. This study suggests using serious games as a tool to facilitate public mobilization while using traditional methods such as direct observation or voting. The information obtained may be used to improve the planning and design of infrastructure, public events or facilities as a whole. Evacuation or evacuation of buildings/territories/campus is of growing interest in the research community as architecture and planning have a significant impact on building security and management. Stakeholders, including authorities, authorities and planners, can use these tools as modeling tools to test the safety and effectiveness of project infrastructure. The dissertation aims to provide a spatial analysis of the crowd management and emergency strategies devised by the authorities for the better implementation of Kumbh Mela in Haridwar using equipment and technology. This study explores the potential of using newer technologies such Geographic information systems (GIS) and computer simulations to evaluate and recommend crowd control and emergency response. This study relied heavily on-site study of Har ki Pauri and sought to identify the strengths and weaknesses of the crowd management strategies on the field, such as large crowd pathways, infrastructure, crowd management, and emergency routes for medical care. In this dissertation a new approach to assess a public infrastructure capacity has been evolved which can be further improved and used in several scenarios. The proposed model can reproduce the complexity, and intelligence of the agent to find a way out, avoid obstacles, or go through the crowd.