Suchergebnisse

We study dynamic tournaments in which time is modeled explicitly, as opposed to with the abstract notion of "periods." By doing so, we characterize the effects of the ex ante designated timing of an interim progress report. Whether or not a policy of reporting increases total expected effort does not depend on the release time of the report; however, the magnitude of the effect does. We demonstrate that total expected effort is single peaked or single troughed in the report's release time depending on parameters, with the peak/tough located at a time strictly more than halfway through the tournament. However, a policy of releasing information always harms the expected utility of the tournament's participants. Implications for tournament design are discussed.

The coronavirus disease 2019 pandemic has stimulated intensive research interest in its transmission pathways and infection factors, e.g., socioeconomic and demographic characteristics, climatology, baseline health conditions or pre-existing diseases, and government policies. Meanwhile, some empirical studies suggested that built environment attributes may be associated with the transmission mechanism and infection risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, no review has been conducted to explore the effect of built environment characteristics on the infection risk. This research gap prevents government officials and urban planners from creating effective urban design guidelines to contain SARS-CoV-2 infections and face future pandemic challenges. This review summarizes evidence from 25 empirical studies and provides an overview of the effect of built environment on SARS-CoV-2 infection risk. Virus infection risk was positively associated with the density of commercial facilities, roads, and schools and with public transit accessibility, whereas it was negatively associated with the availability of green spaces. This review recommends several directions for future studies, namely using longitudinal research design and individual-level data, considering multilevel factors and extending to diversified geographic areas.