An Emphatical Approach Traffic Congestion under Different Formulations- A Review
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Abstract
While studies has shown that traffic congestion may cause company operations to be disrupted and productivity levels to be reduced, it has also demonstrated that it can serve as a sign of economic prosperity in certain cases. As the economy expands and real income of households rises, the number of vehicles on the road increases dramatically, leading to traffic congestion, especially in urban areas. Given the vital relevance of productivity growth to the development of the Gross Domestic Product (GDP), it is both economically profitable and important from a policy standpoint to acknowledge the negative impact of traffic congestion on productivity growth. The purpose of this research is to determine the degree to which traffic congestion reduces worker productivity. The research focuses on the transportation system of Hyderabad Metropolis, which is located in India. It was decided to conduct the study in Kumasi owing to the city's vital position as a transit centre connecting the city's northern, southern, central, and western regions, which renders it prone to traffic congestion. The survey approach used in the research was used to five key road connections in the city. The primary data was gathered via the use of a questionnaire instrument. To analyse the data, descriptive statistics were utilised in conjunction with the Statistical Package for the Social Sciences (SPSS) (SPSS). According to the findings of the study, mobility in Hyderabad Metropolis is constrained as a consequence of traffic congestion, which results in unnecessary travel delays, especially during peak hours, and has a detrimental impact on employee productivity. As a result, improving the transportation infrastructure in the metropolis, as well as improving the traffic management and control system, should be prioritised in order to enhance the transportation system in the metropolis This would raise worker productivity, which would eventually result in a rise in GDP.
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