Effects of Crowd Size, Composition, and Noise Level On Pool Use in a Mixed-Species Penguin Colony

Studies on how visitors affect penguins in human care report a mixture of negative, neutral, and positive impacts on behavior and physiology. Swimming is a highly motivated behavior that may promote positive welfare in penguins. We investigated how visitor crowd size, composition, and noise levels impact pool use in a mixed-species colony housing king (Aptenodytes patagonicus; n = 20), gentoo (Pygoscelis papua; n = 14), and southern rockhopper (Eudyptes chrysocome; n = 24) penguins. We used video and sound loggers to record if penguins were on land or in water, the number of human adults and children present, and noise levels using 5-minute scan samples from 09:00-15:00 over 36 continuous days. Data were analyzed using linear mixed models with proportion of penguins in the water as the dependent variable and crowd size, composition, and noise levels in A-weighted (dBA) and C-weighted (dBC) scales as independent variables. Crowd size was positively associated with pool use in gentoo penguins. Crowd composition did not predict pool use in any species. Noise levels in dBA, which is adjusted to the higher frequencies of human hearing, positively predicted pool use in southern rockhopper penguins. Noise levels in dBC, which captures lower frequencies, did not predict pool use in any species. No evidence of negative visitor effects was observed. Instead, these results suggest visitors are a neutral stimulus to king penguins and may be enriching to gentoo and southern rockhopper penguins.

Effects of Visitor Presence and Crowd Size on Zoo-Housed Red Kangaroos (Macropus Rufus) During and After a COVID-19 Closure

Macropods, particularly kangaroos and wallabies, are common species included in walk-through habitats that put them in close proximity to zoo visitors. However, there has been little research into how visitor presence and density impact the welfare of these individuals. We monitored the behavior and space use of fifteen red kangaroos (Macropus rufus) for a total of ten weeks during and after a nearly three-month zoo closure due to the COVID-19 pandemic. Our findings revealed potential visitor effects, evidenced by more time spent in social proximity, greater inactivity, and more restricted space use after the zoo reopened. Although temperature and weather likely played a role in at least some of these behavioral changes, social proximity and space use changed with crowd size in a manner consistent with our zoo status (i.e., open or closed) results. Additionally, time spent feeding was significantly related to crowd size but not zoo status, such that the kangaroos spent more time feeding when there were no visitors in the habitat. These findings suggest that visitor effects explain these behavioral changes better than seasonal confounds. We also noted several individual differences in response to visitor presence and crowd size, highlighting the importance of evaluating behavioral responses to visitors on an individual basis.

Urban-Rural Compliance Variability to COVID-19 Restrictions of Indigenous Fijian (iTaukei) Funerals in Fiji

Research on coronavirus disease 2019 (COVID-19) has focused primarily on impacts in Western societies despite emerging evidence of increased vulnerability among indigenous peoples such as Pacific Islanders. Using Facebook public posts, this research assessed compliance to COVID-19 restrictions such as social gatherings (SG) and social distancing (SD) in non-COVID-19, indigenous Fijian (iTaukei) funerals in Fiji. Results showed 95% of the 20 funerals exceeding SG limits with greater, and highly variable crowd sizes in rural than urban communities. Additionally, 75% of the 20 funerals did not adhere to the 2-m SD requirement of which 80% were in rural areas. Higher SG and SD compliance in urban funerals could be partially explained by the presence of a recognized authority who enforced crowd size limits, and the heterogeneous urban community who were more likely to flag breaches than their collectivistic, homogeneous, close-knit, rural counterparts. Ultimately, health authorities need to utilize a social lens that incorporates etic and emic differences in culture to ensure maximum compliance.

Counting people in the crowd using social media images for crowd management in city events

City events are getting popular and are attracting a large number of people. This increase needs for methods and tools to provide stakeholders with crowd size information for crowd management purposes. Previous works proposed a large number of methods to count the crowd using different data in various contexts, but no methods proposed using social media images in city events and no datasets exist to evaluate the effectiveness of these methods. In this study we investigate how social media images can be used to estimate the crowd size in city events. We construct a social media dataset, compare the effectiveness of face recognition, object recognition, and cascaded methods for crowd size estimation, and investigate the impact of image characteristics on the performance of selected methods. Results show that object recognition based methods, reach the highest accuracy in estimating the crowd size using social media images in city events. We also found that face recognition and object recognition methods are more suitable to estimate the crowd size for social media images which are taken in parallel view, with selfies covering people in full face and in which the persons in the background have the same distance to the camera. However, cascaded methods are more suitable for images taken from top view with gatherings distributed in gradient. The created social media dataset is essential for selecting image characteristics and evaluating the accuracy of people counting methods in an urban event context.

Understanding Season Ticket Holder Attendance Decisions

Predicting attendance at events is important for efficient facility management and marketing to maximize crowds. Most work to date is conducted at the aggregate level; however, the large crowd size being predicted often means important individual decisions are masked. In many markets, increased nonattendance by season ticket holders (STHs) is being reported, which is troubling given they have prepaid and are expected to be highly loyal. To understand who attends, rather than just how many, the authors analyze the “no-show” behavior of over 5,900 individual STH of one professional team over a season. Results show that in addition to game viewing and quality conditions, age, tenure, expenditure, and prior game attendance are predictors of individual attendance decisions, with differences in how individuals are influenced by winning and uncertainty of outcome. The paper expands understanding of drivers of STH attendance decisions and provides guidance toward managerial strategies for STH management.

Fans and Match Results: Evidence From a Natural Experiment in Brazil

This paper assesses the effect of the crowd size on home team advantage, using a natural experiment occurred in Brazilian football. In 2015, the Brazilian Football Confederation (CBF) quasi-randomly assigned games to be played under an alternative schedule on Sundays at 11 a.m. This measure significantly increased attendance in assigned games. Using this alternative schedule as an instrumental variable, we show that the exogenous increase in attendance did not increase home team advantage.