2023
DOI: 10.1016/j.cities.2022.104161
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Simulating exposure-related human mobility behavior at the neighborhood-level under COVID-19 in Porto Alegre, Brazil

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Cited by 7 publications
(5 citation statements)
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“…The tracking of second-order impacts may also be represented via environment-agent interaction, for example, as changes in the risk assessment influence the agents' decision-making. Additionally, discrete agents' collective behaviours, such as mobility or pro-environmental behaviour, influence the larger scale spatial risk and environmental resilience 74 . The intermediary translator stage integrates different spatio-temporal scales.…”
Section: The Framework Versus the Gapmentioning
confidence: 99%
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“…The tracking of second-order impacts may also be represented via environment-agent interaction, for example, as changes in the risk assessment influence the agents' decision-making. Additionally, discrete agents' collective behaviours, such as mobility or pro-environmental behaviour, influence the larger scale spatial risk and environmental resilience 74 . The intermediary translator stage integrates different spatio-temporal scales.…”
Section: The Framework Versus the Gapmentioning
confidence: 99%
“…While physical exposure to health or climate hazards may be diverse, the drivers of vulnerability are often very similar: Poverty, lack of social or governmental support, and socio-territorial segregation . Previous research explored vulnerability concerning climate change 83 and the COVID-19 pandemic 74,84,85 . We now adapt this concept as the linchpin of the health-climate nexus.…”
Section: Multiple Stressors Framework Implementation For the Health-c...mentioning
confidence: 99%
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“…In the study by Peng et al [38], the limitations of existing models at capturing COVID-19's impact on human mobility at a neighborhood level are addressed. Employing an agent-based model (VIABLE), the study simulates individual mobility choices based on social activities in neighborhoods, focusing on Porto Alegre, Brazil.…”
Section: Related Workmentioning
confidence: 99%
“…A few studies developed models or simulations to investigate the impact of COVID-19 on future mobility (Peng et al 2023;Wang et al 2020). Using MATSim, an agent-based simulation model, and assuming that the mode preference during the pandemic is maintained, Wang et al (2020) predicted that a full reopening scenario of the NYC transportation system would result in 73% of pre-COVID transit ridership owing to changed mode preferences, while increasing car traffic as much as 142% of pre-pandemic levels.…”
Section: Overall Mobilitymentioning
confidence: 99%