Type | Journal Article |
---|---|
Author | Patrick Loa |
Author | Sanjana Hossain |
Author | Yicong Liu |
Author | Khandker Nurul Habib |
URL | https://www.sciencedirect.com/science/article/pii/S0965856421002925 |
Volume | 155 |
Pages | 46-62 |
Publication | Transportation Research Part A: Policy and Practice |
Date | January 1, 2022 |
Journal Abbr | Transportation Research Part A: Policy and Practice |
DOI | 10.1016/j.tra.2021.11.013 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | The ongoing COVID-19 pandemic has fundamentally changed the nature of day-to-day life in cities worldwide. In the transportation sector, COVID-19 appears to have impacted modal preferences. In particular, people seem to be less willing to use modes where they may encounter strangers (such as public transit) and modes that involve coming into contact with shared surfaces (such as ride-sourcing). Given the transformative impact that ride-sourcing services had on urban mobility before the pandemic, it is crucial to understand the effects of COVID-19 on the use of ride-sourcing moving forward. Using data from a web-based survey, this study combines descriptive analysis with the application of a two-stage ordered logit model framework to investigate the impacts of COVID-19 on the utilization of ride-sourcing services in the Greater Toronto Area, including how often ride-sourcing is used and the earliest stage of the pandemic that a person would consider using ride-sourcing. Generally speaking, the use of ride-sourcing has decreased since the start of the pandemic, however, there are also people who are using ride-sourcing more often than they did before the pandemic. The results indicate that the perception of risk, the tendency to take precautions when leaving home, and socio-economic factors influence the earliest stage of the pandemic where a person would consider using ride-sourcing. Overall, it appears that ride-sourcing usage will gradually increase as restrictions are lifted; however, it is unlikely to return to pre-pandemic levels until COVID-19 is no longer considered a public health threat. |
Date Added | 1/6/2022, 9:11:52 AM |
Type | Journal Article |
---|---|
Author | David A. Hensher |
Author | Camila Balbontin |
Author | Matthew J. Beck |
Author | Edward Wei |
URL | https://www.sciencedirect.com/science/article/pii/S0965856421002901 |
Volume | 155 |
Pages | 179-201 |
Publication | Transportation Research Part A: Policy and Practice |
Date | January 1, 2022 |
Journal Abbr | Transportation Research Part A: Policy and Practice |
DOI | 10.1016/j.tra.2021.11.011 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | The need to recognise and account for the influence of working from home on commuting activity has never been so real as a result of the COVID-19 pandemic. Not only does this change the performance of the transport network, it also means that the way in which transport modellers and planners use models estimated on a typical weekday of travel and expand it up to the week and the year must be questioned and appropriately revised to adjust for the quantum of working from home. Although teleworking is not a new phenomenon, what is new is the ferocity by which it has been imposed on individuals throughout the world, and the expectation that working from home is no longer a temporary phenomenon but one that is likely to continue to some non-marginal extent given its acceptance and revealed preferences from both many employees and employ where working from home makes good sense. This paper formalises the relationship between working from home and commuting by day of the week and time of day for two large metropolitan areas in Australia, Brisbane and Sydney, using a mixed logit choice model, identifying the influences on such choices together with a mapping model between the probability of working from home and socioeconomic and other contextual influences that are commonly used in strategic transport models to predict demand for various modes by location. The findings, based on Wave 3 (approximately 6 months from the initial outbreak of the pandemic) of an ongoing data collection exercise, provide the first formal evidence for Australia in enabling transport planners to adjust their predicted modal shares and overall modal travel activity for the presence of working from home. |
Date Added | 1/6/2022, 9:12:57 AM |