Sarthak Sahu, Saket Shanker, Aditya Kamat, Akhilesh Barve
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India's public transportation system: the repercussions of COVID-19.
The COVID-19 pandemic has left scars on the Indian public transportation system. In order to regain its original momentum, policymakers will need to assess the barriers hindering the effectiveness of the public transportation sector. In this regard, this article analyzes the various factors affecting the public transportation sector in India and determines their interrelationships. The research is presented in three steps. First, we review the literature to identify the factors that affect the public transportation system in India. Next, we propose an integrated model of grey-DEMATEL and ANP, grey-DANP, to calculate the priority ranking and weight of the factors. The grey-DEMATEL method is used to find the interrelationships among the factors, while ANP determines the local and global weights of the factors to form a priority order. Then, we present the interrelationships in the form of influential relation maps. Furthermore, we provide a sensitivity analysis to enhance the credibility of our study. The paper reveals that governmental regulations are the most influential factors in India's public transportation system. The transportation authorities and policymakers must also focus on improving the financial stability and enhancing the customer's trust in the public transportation system. The framework provided in this paper can be applied to other countries where similar hindrances in the public transportation system have been caused by COVID-19.
期刊介绍:
The scope and purpose of the journal includes, but is not limited to, any type of research in the area of Public Transport: Planning and Operations. As its core it serves the primary mission of advancing the state of the art and the state of the practice in computer-aided systems and scheduling in public transport. The journal considers any type of subjects in this area especially with a focus to planning and scheduling, the common ground is the use of computer-aided methods and operations research techniques to improve information management, network and route planning, vehicle and crew scheduling and rostering, vehicle monitoring and management, and practical experience with scheduling and public transport planning methods. Besides theoretical papers, the journal also publishes case studies and applications. Public Transport addresses transport operators, consulting firms and academic institutions involved in development, utilization or research of computer-aided planning and scheduling in public transport.Officially cited as: Public Transp