Data is already recognized as an essential piece for unlocking maximum value within a transportation system and it has the potential to create more efficient passenger mobility. The aim of this research is to critically assess the ecosystem for mobility data including policies and regulations in India to administer the pandemic and post-pandemic scenario. The paper identified various data sources based on a typical public transport journey, further summarizing strategies adopted world-wide during COVID-19. The application of data during and post pandemic scenario is discussed to identify that contact tracing and development of digital payment systems as most necessary for same. The paper concludes with a critical evaluation of current ecosystem of data policies putting forward the recommendations to current data policies in India.

数据已经被认为是在交通系统中释放最大价值的重要组成部分，它有可能创造更高效的乘客流动性。这项研究的目的是批判性地评估移动数据的生态系统，包括印度管理大流行和大流行后情景的政策和法规。该论文根据典型的公共交通旅程确定了各种数据源，进一步总结了 COVID-19 期间全球采用的策略。讨论了大流行期间和大流行后情况下数据的应用，以确定最需要的联系追踪和数字支付系统的开发。本文最后对当前的数据政策生态系统进行了批判性评估，提出了对印度当前数据政策的建议。