Researchers from IIT Guwahati, IIM Kashipur, and NUS developed a framework to integrate private transport like autorickshaws into urban transport. The model uses game theory to test policies like subsidies and congestion pricing for commuters.
Addressing Urban Transport Challenges
In developing countries like India, rapid urbanisation and high population density put intense pressure on public transport systems, which leads to the use of informal transport systems. These informal transport systems often provide last-mile and flexible connectivity that many public transport services fail to provide. While these informal transport services are used extensively, there are few regulations governing them. This results in inconsistencies in service delivery and safety concerns. Usage of private vehicles for unauthorised commercial purposes, road congestion, and inefficient use of public transport infrastructure are other challenges associated with it.
A Game-Theoretic Approach
To address these challenges, the multi-institutional research team has developed a game-theoretic model, a mathematical framework, to capture and study the behaviour of multiple stakeholders and decision-makers. The four interacting stakeholders studied in this analysis included the government, an informal transport aggregator, a ride-hailing platform, and commuters.
Evaluating Policy Measures
Explaining the research, Dr Atanu Bhuyan, Assistant Professor, IIT Guwahati, said, "Our framework compares three policy measures --charging private vehicles for driving in congested regions, providing financial assistance to operators of informal transport, and providing subsidies to informal transport users. We also included commuters' perception of service quality to see how policies can affect travel choices."
Key Findings and Policy Implications
Based on these findings, the research team concluded that rather than relying individually on subsidies or congestion pricing, a combination of both approaches can help influence commuter behaviour and improve welfare. These research findings are particularly useful for government agencies and urban transport planners. It provides them with a scientific tool to evaluate and design policies that can help regulate and integrate informal transport systems into urban mobility networks. (ANI)
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