Predicting Ticket Holder No-Shows: Examining Differences Between Reported and Actual Attendance at College Football Games

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2023-03-01 DOI:10.32731/smq.321.032023.01
N. Popp, Jason M. Simmons, S. Shapiro, Nick Watanabe
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引用次数: 1

Abstract

Reported attendance for most sport events is based on tickets disseminated, not actual number of spectators who physically enter the venue. Yet nearly all live sport event demand studies are based on reported attendance rather than the actual attendance. The current study examines multiple measures of home game attendance for NCAA Division I college football programs as reported from both game box scores and post-event scanned ticket audits provided to The Wall Street Journal. Regression models are utilized to examine factors that have a statistically significant relationship with three different measures of attendance: (a) reported attendance, (b) actual attendance, and (c) total number of ticket holder no-shows. Several independent variables, included demographic factors, measures of game attractiveness, and residual preferences, demonstrated such relationships with each measure of attendance when examining ticket usage data from 595 game dates during the 2017 season.
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预测持票者未到场:调查大学橄榄球赛报告和实际出席人数之间的差异
大多数体育赛事的报告上座率是基于分发的门票,而不是实际进入场馆的观众人数。然而,几乎所有的现场体育赛事需求研究都是基于报道的上座率,而不是实际上座率。目前的研究调查了NCAA一级大学橄榄球项目的主场比赛出勤率的多种指标,这些指标来自比赛比分和提供给《华尔街日报》的赛后扫描票审计。回归模型被用来检验与三种不同的出勤率指标有统计显著关系的因素:(a)报告出勤率,(b)实际出勤率,和(c)总持票人缺席人数。在检查2017赛季595场比赛的门票使用数据时,包括人口统计因素、比赛吸引力指标和剩余偏好在内的几个独立变量显示了与每个出勤率指标之间的关系。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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