The spread of the novel coronavirus disease-2019 (COVID-19) since early in 2020 has affected every aspect of daily life, including urban passenger travel patterns. Lockdowns to control the spread of COVID-19 created unprecedented travel demand contexts that have never been seen in modern history. So, it is essential to benchmark trends of travel behaviour, especially people's daily travel patterns that are necessary to develop a comprehensive understanding of the impacts of COVID-19. A multi-cycle benchmarking household travel study: the COVid-19 influenced Households' Interrupted Travel Schedules (COVHITS) Survey was implemented in the Greater Toronto Area with a random sample of over 4000 households. The results indicated a stark alteration in people's daily activity-travel patterns due to COVID-19. The pandemic caused a substantial decline in mobility in the study area. The average weekday household trip rate dropped from 5.2 to 2.0 trips. Transit modal shares suffered severely during the paramedic, while private car dependency was enhanced. Overall, transit modal share dropped from 17.3% to 8.1% in the study area, while the modal share of private cars increased from 70.8% to 74.1%. Factors such as having to work from home, ownership of private cars, and household incomes influenced mobility levels of the people in the study area during the pandemic. While overlooked, travel demand analysis can reveal effective strategies to curb the spread of such contagious diseases. An econometric model and analysis of sample data reveal several potential strategies. These include: (1) working/learning from home should be implemented until the end of the pandemic; (2) transit agencies should provide as much transit frequency as possible (particularly for bus routes) during peak hours to avoid crowding inside transit vehicles and project a positive image of public transit; and (3) strict restrictions should be implemented in regions with lower confirmed COVID-19 cases, as they became attractive destinations during the pandemic.

自 2020 年初以来，新型冠状病毒病 2019 (COVID-19) 的传播影响了日常生活的方方面面，包括城市旅客出行方式。为控制 COVID-19 的传播而采取的封锁措施创造了现代历史上前所未有的旅行需求环境。因此，必须衡量旅行行为的趋势，尤其是人们的日常旅行模式，这对于全面了解 COVID-19 的影响是必要的。一项多周期基准家庭旅行研究：在大多伦多地区实施了受 COVID-19 影响的家庭中断旅行计划 (COVHITS) 调查，随机抽取了 4000 多户家庭。结果表明，由于 COVID-19，人们的日常活动-旅行模式发生了明显变化。大流行导致研究区域的流动性大幅下降。工作日平均家庭出行率从 5.2 次下降到 2.0 次。在护理人员期间，公交模式份额受到严重影响，而私家车的依赖性增加了。总体而言，研究区域的公交模式份额从 17.3% 下降到 8.1%，而私家车的模式份额从 70.8% 增加到 74.1%。在大流行期间，必须在家工作、拥有私家车和家庭收入等因素影响了研究区域人们的流动性水平。虽然被忽视，但旅行需求分析可以揭示遏制此类传染病传播的有效策略。计量经济学模型和样本数据分析揭示了几种潜在的策略。这些包括：(1) 应实施在家工作/学习直至大流行结束；(2) 公交机构应在高峰时段提供尽可能多的公交班次（尤其是公交线路），以避免公交车内拥挤，树立公共交通的正面形象；(3) 应在确诊 COVID-19 病例较少的地区实施严格限制，因为它们在大流行期间成为有吸引力的目的地。