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Civil Engineer with a focus on Transport and Urban Mobility. Enthusiast of Machine Learning, Programming, and Active Mobility.
This study analyzes the relationship between the spread of the SARS-CoV-2 virus (COVID-19) and the mobility patterns of the Portuguese population. By reducing mobility, the idea is that contacts are reduced, countering the spread of the virus in the community. As an indicator of the spread of the virus, the reproduction number (Rt) was used. Data from Google's Community Mobility Reports was used to evaluate changes in mobility patterns. This report uses location data from Android mobile phone users. The locations are divided into retail and recreation, grocery and pharmacy, parks, transit stations, workplaces and residential. In this year of the COVID-19 crisis in Portugal, population mobility patterns have changed over the various phases of the pandemic. At first, all mobility was affected uniformly, with the population avoiding much of the activity outside the home. In a second phase, there was some adaptation, and the areas considered to be of lower risk had less impact, emphasizing the changes in the relationship between daily life and the workplace.
Tiago Tamagusko; Adelino Ferreira. Mobility Patterns of the Portuguese Population During the First Year of the COVID-19 Pandemic: A Longitudinal Study. 2021, 1 .
AMA StyleTiago Tamagusko, Adelino Ferreira. Mobility Patterns of the Portuguese Population During the First Year of the COVID-19 Pandemic: A Longitudinal Study. . 2021; ():1.
Chicago/Turabian StyleTiago Tamagusko; Adelino Ferreira. 2021. "Mobility Patterns of the Portuguese Population During the First Year of the COVID-19 Pandemic: A Longitudinal Study." , no. : 1.
The COVID-19 pandemic has affected human mobility via lockdowns, social distancing rules, home quarantines, and the full or partial suspension of transportation. Evidence-based policy recommendations are urgently needed to ensure that transport systems have resilience to future pandemic outbreaks, particularly within Global South megacities where demand for public transport is high and reduced access can exacerbate socio-economic inequalities. This study focuses on Metro Manila – a characteristic megacity that experienced one of the most stringent lockdowns worldwide. It analyzes aggregated cell phone and GPS data from Google and Apple that provide a comprehensive representation of mobility behavior before and during the lockdown. While significant decreases are observed for all transport modes, public transport experienced the largest drop (−74.5 %, on average). The study demonstrates that: (i) those most reliant on public transport were disproportionately affected by lockdowns; (ii) public transport was unable to fulfil its role as public service; and, (iii) this drove a paradigm shift towards active mobility. Moving forwards, in the short-term policymakers must promote active mobility and prioritize public transport to reduce unequal access to transport. Longer-term, policymakers must leverage the increased active transport to encourage modal shift via infrastructure investment, and better utilize big data to support decision-making.
Marc Hasselwander; Tiago Tamagusko; Joao F. Bigotte; Adelino Ferreira; Alvin Mejia; Emma J.S. Ferranti. Building back better: The COVID-19 pandemic and transport policy implications for a developing megacity. Sustainable Cities and Society 2021, 69, 102864 .
AMA StyleMarc Hasselwander, Tiago Tamagusko, Joao F. Bigotte, Adelino Ferreira, Alvin Mejia, Emma J.S. Ferranti. Building back better: The COVID-19 pandemic and transport policy implications for a developing megacity. Sustainable Cities and Society. 2021; 69 ():102864.
Chicago/Turabian StyleMarc Hasselwander; Tiago Tamagusko; Joao F. Bigotte; Adelino Ferreira; Alvin Mejia; Emma J.S. Ferranti. 2021. "Building back better: The COVID-19 pandemic and transport policy implications for a developing megacity." Sustainable Cities and Society 69, no. : 102864.
SARS-CoV-2 emerged in late 2019. Since then, it has spread to several countries, becoming classified as a pandemic. So far, there is no definitive treatment or vaccine, so the best solution is to prevent transmission between individuals through social distancing. However, it is not easy to measure the effectiveness of these distance measures. Therefore, this study uses data from Google COVID-19 Community Mobility Reports to understand the Portuguese population’s mobility patterns during the COVID-19 pandemic. In this study, the Rt value was modeled for Portugal. In addition, the changepoint was calculated for the population mobility patterns. Thus, the mobility pattern change was used to understand the impact of social distance measures on the dissemination of COVID-19. As a result, it can be stated that the initial Rt value in Portugal was very close to 3, falling to values close to 1 after 25 days. Social isolation measures were adopted quickly. Furthermore, it was observed that public transport was avoided during the pandemic. Finally, until the emergence of a vaccine or an effective treatment, this is the new normal, and it must be understood that new patterns of mobility, social interaction, and hygiene must be adapted to this reality.
Tiago Tamagusko; Adelino Ferreira. Data-Driven Approach to Understand the Mobility Patterns of the Portuguese Population during the COVID-19 Pandemic. Sustainability 2020, 12, 9775 .
AMA StyleTiago Tamagusko, Adelino Ferreira. Data-Driven Approach to Understand the Mobility Patterns of the Portuguese Population during the COVID-19 Pandemic. Sustainability. 2020; 12 (22):9775.
Chicago/Turabian StyleTiago Tamagusko; Adelino Ferreira. 2020. "Data-Driven Approach to Understand the Mobility Patterns of the Portuguese Population during the COVID-19 Pandemic." Sustainability 12, no. 22: 9775.
In recent years, civil aviation has experienced intense growth. To meet this demand, a new generation of aircrafts has been developed, with more complex landing gear configurations and higher total gross weight. Therefore, new challenges were created for the design of airport pavements. In this sense, software tools were created to meet this need. So the focus of this paper is to understand how this computational capacity has been applied in the design of airport pavements. To do this, this writing addresses the evolution of design methods, their formulations, how these methods are applied, and finally, what is the state-of-the-art for the software tools for airport pavement design. For the development of this text, the software FAARFIELD (USA), Alize-Airfield (France), APSDS (Australia), and PCASE (USA) were evaluated. Finally, it was concluded that the main airport pavement design software has similar formulations and methodologies. In general, these applications apply layered elastic methods, with little variations and adaptations to the different existing normative standards. Also, some applications apply finite element methods to their design steps.
Tiago Tamagusko; Adelino Ferreira. Software Tools for Airport Pavement Design. Advances in Intelligent Systems and Computing 2020, 66 -76.
AMA StyleTiago Tamagusko, Adelino Ferreira. Software Tools for Airport Pavement Design. Advances in Intelligent Systems and Computing. 2020; ():66-76.
Chicago/Turabian StyleTiago Tamagusko; Adelino Ferreira. 2020. "Software Tools for Airport Pavement Design." Advances in Intelligent Systems and Computing , no. : 66-76.