Some agent-based models have been developed to estimate the spread progression of coronavirus disease 2019 (COVID-19) and to evaluate strategies aimed to control the outbreak of the infectious disease. Nonetheless, COVID-19 parameter estimation methods are limited to observational epidemiologic studies which are essentially aggregated models. We propose a mathematical structure to determine parameters of agent-based models accounting for the mutual effects of parameters. We then use the agent-based model to assess the extent to which different control strategies can intervene the transmission of COVID-19. Easing social distancing restrictions, opening businesses, speed of enforcing control strategies, quarantining family members of isolated cases on the disease progression and encouraging the use of facemask are the strategies assessed in this study. We estimate the social distancing compliance level in Sydney greater metropolitan area and then elaborate the consequences of moderating the compliance level in the disease suppression. We also show that social distancing and facemask usage are complementary and discuss their interactive effects in detail.
Transportation - Bicycling is an increasingly popular mode of travel in Canadian urban areas, like the Greater Toronto and Hamilton Area (GTHA). While trip origins and destinations can be inferred... 相似文献
To satisfy the global energy demand while accommodating the rapidly increasing consumption rate in its domestic market, Saudi Arabia must develop and implement fuel efficiency programs in many sectors. In the transportation sector, which is a major contributor to fuel consumption and emissions, hybrid electric vehicles (HEVs) could provide a viable solution, but they are not yet available in the Saudi market. Applying the theory of reasoned action (TRA) and an online questionnaire instrument (N = 847), this paper aims to identify the factors that could drive Saudi citizens’ intention to adopt such technology. We find that the TRA is appropriate to describe intention to adopt HEVs in the Saudi context, and that both subjective norms and attitudes are significant in explaining Saudi consumers’ intention, with subjective norms having three times as strong an effect as attitudes. The findings should be useful to relevant Saudi government officials as they develop and implement transportation-related initiatives and policies, as well as to global auto manufacturers and dealers seeking to tap into Saudi Arabia’s prospective HEV market.