Farshid Safarighouzhdi

TL;DR: In this paper, a latent class behavioral model was developed for a sample of 1,008 residents in New South Wales, Australia to explore different segments of taste and preference for shared parking.

TL;DR: In this article, a parking search algorithm was proposed to mimic cruising-for-parking based on the principle of proximity, and a parking-related state tracking algorithm is proposed to acquire an event-based simulated data set.

TL;DR: In this article, the authors evaluate the extent to which social distancing (SD) and facemask (FM) use can mitigate the transmission of COVID-19 when restrictions are lifted, using a microsimulation activity-based model for Sydney Greater Metropolitan Area, to evaluate the power of SD and FM in controlling the pandemic under numerous scenarios.

TL;DR: The extent to which different control strategies can intervene the transmission of COVID-19 is assessed and it is shown that tight social distancing levels should be considered when the restrictions on businesses and activity participations are easing.

TL;DR: In this article, the authors proposed a mathematical structure to determine parameters of agent-based models accounting for the mutual effects of parameters, and then used the agentbased model to assess the extent to which different control strategies can intervene the transmission of COVID-19, including 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.