Type | Journal Article |
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Author | Tri K. Nguyen |
Author | Nam H. Hoang |
Author | Graham Currie |
Author | Hai L. Vu |
URL | https://www.sciencedirect.com/science/article/pii/S0965856422001173 |
Volume | 161 |
Pages | 186-199 |
Publication | Transportation Research Part A: Policy and Practice |
Date | 2022-07-01 |
Journal Abbr | Transportation Research Part A: Policy and Practice |
DOI | 10.1016/j.tra.2022.05.002 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | Coronavirus 2019 (COVID-19) and its variants are still spreading rapidly with deadly consequences and profound impacts on the global health and world economy. Without a suitable vaccine, mobility restriction has been the most effective method so far to prevent its spreading and avoid overwhelming the heath system of the affected country. The compartmental model SIR (or Susceptible, Infected, and Recovered) is the most popular mathematical model used to predict the course of the COVID-19 pandemic in order to plan the control actions and mobility restrictions against its spreading. A major limitation of this model in relation to modeling the spreading of COVID-19, and the mobility limitation strategy, is that the SIR model does not include mobility or take into account changes in mobility within its structure. This paper develops and tests a new hybrid SIR model; SIR-M which is integrated with an urban activity travel model to explore how it might improve the prediction of pandemic course and the testing of mobility limitation strategies in managing virus spread. The paper describes the enhanced methodology and tests a range of mobility limitation strategies on virus spread outcomes. Implications for policy and research futures are suggested. |
Date Added | 6/9/2022, 2:55:26 PM |
Type | Journal Article |
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Author | Qifan Nie |
Author | Xinwu Qian |
Author | Shuocheng Guo |
Author | Steven Jones |
Author | Mehrnaz Doustmohammadi |
Author | Michael D. Anderson |
URL | https://www.sciencedirect.com/science/article/pii/S0965856422001148 |
Volume | 161 |
Pages | 48-67 |
Publication | Transportation Research Part A: Policy and Practice |
Date | 2022-07-01 |
Journal Abbr | Transportation Research Part A: Policy and Practice |
DOI | 10.1016/j.tra.2022.04.016 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | Paratransit plays an important role in offering mobility and accessibility in local communities, especially for mobility disadvantaged group such as seniors, persons with disabilities, and persons with medical conditions. This study comprehensively evaluates the impacts of COVID-19 on paratransit services from paratransit operator and individual rider perspectives. In particular, we mine a paratransit dataset that covers trip logs of more than 800 unique riders over a seven-month period in order to understand how the pandemic impacted service and influenced trip purposes of individual riders. For service providers, our analyses show that a significant loss in paratransit ridership was accompanied by drastic changes in travel behavior among paratransit riders. Results indicate that the operator was able to deliver safe and efficient mobility services during COVID-19, but at a 60% higher cost per rider than under pre-pandemic conditions. The results also reveal a varying level of impacts for individual riders given heterogeneity among trip purposes and demographic profiles. Moreover, similarities are identified across a range of individual riders, depending on specific trip purposes and the availability of alternative travel options. This study is among the first to investigate paratransit operations during COVID-19 in terms of impacts to both operators and individual riders. The lessons learned and policy insights should be useful to other paratransit operators and policymakers in preparing for current and future pandemics. |
Date Added | 6/9/2022, 2:49:57 PM |
Type | Journal Article |
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Author | Lidón Mars |
Author | Rosa Arroyo |
Author | Tomás Ruiz |
URL | https://www.sciencedirect.com/science/article/pii/S0965856422001203 |
Volume | 161 |
Pages | 107-129 |
Publication | Transportation Research Part A: Policy and Practice |
Date | 2022-07-01 |
Journal Abbr | Transportation Research Part A: Policy and Practice |
DOI | 10.1016/j.tra.2022.05.004 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | The lockdown of March and April 2020 declared by Spanish authorities in the Valencian Region to bending the Covid-19 curve, caused a drastic reduction of the economic activity and a severe limitation of mobility. People were asked to stay at home as much as possible. Education and administrative centers, as well as restaurants, theaters, sport arenas, etc., were closed. Work at conventional workplaces was prohibited for people who could tele-work, and students were compelled to attend classes on-line. Such limitation of mobility and spending so many time at home, could affect the wellbeing of people. The objective of the present paper is to present a study on the differences on wellbeing according to the mobility of respondents during the lockdown. Information from 1,827 individuals regarding the satisfaction of the basic psychological needs (Autonomy, Competence and Relatedness) and Positive and Negative affect were collected through and web-survey during the first lockdown of the Covid-19 pandemic, together with mobility data and sociodemographic characteristics. Mann-Whitney U tests, Confirmatory Factor Analyses and Structural Equation models are used to find out differences in the wellbeing of people according to their mobility characteristics during the first lockdown, and how these mobility characteristics are associated to the psychological variables studied. Mobility of people during the first lockdown reduced drastically, especially the youngest ones, and the main travel mode was walking. In general, the youngest participants in this research and females present lower values of the psychological wellbeing variables during the lockdown. A very low or very high degree of mobility is also associated to discomfort, although the more time spent traveling the better people feel. Those who walked more are related to lower values of wellbeing. Some lessons are learned to improve transport and mobility planning during a pandemic. |
Date Added | 6/9/2022, 3:15:25 PM |
Type | Journal Article |
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Author | Jielun Liu |
Author | Ghim Ping Ong |
Author | Vincent Junxiong Pang |
URL | https://www.sciencedirect.com/science/article/pii/S0965856422001197 |
Volume | 161 |
Pages | 25-47 |
Publication | Transportation Research Part A: Policy and Practice |
Date | 2022-07-01 |
Journal Abbr | Transportation Research Part A: Policy and Practice |
DOI | 10.1016/j.tra.2022.05.003 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | This paper studies the effectiveness of several pandemic restriction measures adopted in Singapore during the COVID-19 outbreak. To this end, the classical Susceptible-Exposed-Infectious-Recovered (SEIR) model widely used to describe the dynamic process of epidemic propagation is extended to an area-based SEIR model with the consideration of exposure to infections during commute and quarantine. The proposed model considers infections within areas and infections occurred during the commute of individuals. A case study of the Singapore MRT system is presented to show the effectiveness of pandemic restriction policies implemented in Singapore, namely social distancing, work shift and Circuit Breaker (CB) and phase advisories. A long-term investigation of COVID-19 pandemic in Singapore is performed, and the disease transmission dynamics in 2020–2021 (which covers the first wave and second wave of COVID-19 pandemic in Singapore) is modelled. |
Date Added | 6/9/2022, 3:18:49 PM |