| Type | Web Page |
|---|---|
| Author | Canadian Urban Institute |
| URL | https://canurb.org/wp-content/uploads/Signpost-300.pdf |
| Abstract | The Canadian Urban Institute (CUI) continues to track the impacts of COVID-19 on Canadian cities, with a third Signpost report that signals a growing disconnect between virus-related research and recovery response. Of the 573,000 cases and 15,500 deaths announced on January 3rd 2021, Canada’s 20 largest cities (representing 42 per cent of Canada’s population) have experienced over 65 per cent of cases (373,319) and 69 per cent of deaths (10,725). However, experiences across the country have vastly differed. For example, cities like Halifax, London, and Vancouver have experienced modest increases in the number of cases per 100,000 people. Edmonton, on the other hand, who had 4000 cases at Day 200, has endured more than 43,000 cases 100 days later. |
| Date Added | 1/8/2021, 10:40:11 AM |
| Type | Web Page |
|---|---|
| URL | http://www.trb.org/Main/Blurbs/181670.aspx |
| Abstract | The year 2020’s raging coronavirus pandemic and reckoning with long-standing racial injustice led to widespread disruption and suffering, social unrest, and renewed calls for an accounting of our fragmented public health system and troubled history of racial inequity. The crises of 2020 transcend transportation yet also raise fundamental questions for it along with other sectors of our society and economy. In this addendum to Critical Issues in Transportation 2019, the Transportation Research Board (TRB) Executive Committee updates all of the critical issue topic areas to address the short-term and potential long-term effects of coronavirus disease 2019 (COVID-19) on transportation. An additional addendum will be issued later in 2021 that delves much more deeply into the equity issue to probe and question transportation’s role in contributing to and redressing racial injustice. |
| Date Added | 1/5/2021, 12:39:06 PM |
| Type | Journal Article |
|---|---|
| Author | Baichuan Mo |
| Author | Kairui Feng |
| Author | Yu Shen |
| Author | Clarence Tam |
| Author | Daqing Li |
| Author | Yafeng Yin |
| Author | Jinhua Zhao |
| URL | http://www.sciencedirect.com/science/article/pii/S0968090X20307932 |
| Volume | 122 |
| Pages | 102893 |
| Publication | Transportation Research Part C: Emerging Technologies |
| Date | January 1, 2021 |
| Journal Abbr | Transportation Research Part C: Emerging Technologies |
| DOI | 10.1016/j.trc.2020.102893 |
| Library Catalog | ScienceDirect |
| Language | en |
| Abstract | Passenger contact in public transit (PT) networks can be a key mediate in the spreading of infectious diseases. This paper proposes a time-varying weighted PT encounter network to model the spreading of infectious diseases through the PT systems. Social activity contacts at both local and global levels are also considered. We select the epidemiological characteristics of coronavirus disease 2019 (COVID-19) as a case study along with smart card data from Singapore to illustrate the model at the metropolitan level. A scalable and lightweight theoretical framework is derived to capture the time-varying and heterogeneous network structures, which enables to solve the problem at the whole population level with low computational costs. Different control policies from both the public health side and the transportation side are evaluated. We find that people’s preventative behavior is one of the most effective measures to control the spreading of epidemics. From the transportation side, partial closure of bus routes helps to slow down but cannot fully contain the spreading of epidemics. Identifying “influential passengers” using the smart card data and isolating them at an early stage can also effectively reduce the epidemic spreading. |
| Date Added | 1/4/2021, 1:35:57 PM |