COVID-19 pandemic has significantly affected the transportation sector across the world. Implementation of lockdown (that includes restricted travel activities) is a prevention strategy executed by various governments to minimize the spread of COVID-19. India went into complete lockdown from 25th March 2020; however, change in commuter’s travel behavior was observed from the third week of March (termed as transition to lockdown) due to pandemic fear. In total 1945 participants participated in the travel behaviour survey and their responses with respect to work-based and non-work-based trips during transition period were analysed to understand their adaptation towards COVID-19. The study also attempted to quantify the effects of influencing factors which can explain change in the commuters’ travel behaviour. The findings revealed that one-year increment in traveller’s age had 2% reduced probability of no travel during transition than pre-transition. For non-work-related travel, chances of lower travel frequency were significantly greater during the transition period as compared to pre-transition. Compared to the non-essential trips, the chances of reduced travel frequency for the essential trips were found to be lower by 92%. By examining these behavioural changes, the present study aims to assist the policymakers in understanding the dynamics of fluctuating travel demand with respect to trip purpose during pandemic situations like COVID-19.

COVID-19 大流行严重影响了世界各地的交通运输部门。实施封锁（包括限制旅行活动）是各国政府执行的一项预防策略，以尽量减少 COVID-19 的传播。印度从 2020 年 3 月 25 日起全面封锁；但是，由于对大流行的恐惧，从 3 月的第三周（称为过渡到锁定）开始观察到通勤者的出行行为发生了变化。共有 1945 名参与者参加了旅行行为调查，并分析了他们在过渡期间对工作和非工作旅行的反应，以了解他们对 COVID-19 的适应。该研究还试图量化可以解释通勤者出行行为变化的影响因素的影响。调查结果显示，与过渡前相比，旅行者年龄每增加一年，过渡期间不旅行的可能性降低了 2%。对于与工作无关的旅行，与过渡前相比，过渡期间旅行频率较低的可能性要大得多。与非必要旅行相比，必要旅行减少旅行频率的机会降低了 92%。通过检查这些行为变化，本研究旨在帮助政策制定者了解在 COVID-19 等大流行情况下旅行需求与旅行目的波动的动态。与过渡前相比，过渡期间出行频率较低的可能性要大得多。与非必要旅行相比，必要旅行减少旅行频率的机会降低了 92%。通过检查这些行为变化，本研究旨在帮助政策制定者了解在 COVID-19 等大流行情况下旅行需求与旅行目的波动的动态。与过渡前相比，过渡期间出行频率较低的可能性要大得多。与非必要旅行相比，必要旅行减少旅行频率的机会降低了 92%。通过检查这些行为变化，本研究旨在帮助政策制定者了解在 COVID-19 等大流行情况下旅行需求与旅行目的波动的动态。