2021年卡塔尔国际足联阿拉伯杯™足球锦标赛期间球迷流动性分析

IF 4.6 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Jassuer Abidi;Fethi Filali
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引用次数: 1

摘要

国际足联阿拉伯杯是2022年世界杯的测试赛,于2021年11月至12月在卡塔尔举行。该活动展示了6个场馆的32场比赛,这些场馆也将用于世界杯。本文利用从wavetraffic道路传感器收集的数据,对活动期间的交通流动性进行了开创性的时空分析。传感器检测和跟踪支持蓝牙和wifi的用户设备,允许对用户移动性进行分析,包括观众的来源、到达体育场所需的时间、在体育场内停留的时间以及离开体育场后返回原点所花费的时间。该研究处理了数千万条记录,克服了过滤异常数据、验证和准备数据以供分析等挑战。研究结果提供了对活动期间用户移动模式的全面了解,这对活动组织者、城市规划者和交通供应商优化服务和增强整体用户体验具有重要价值。此外,该研究还强调了利用先进技术改善大型活动和运输系统的规划和执行的重要性。该研究展示了数据分析在提供人类移动性关键见解方面的强大功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mobility Analytics of Fans During the 2021 FIFA Arab Cup™ Football Tournament in Qatar
The FIFA Arab Cup, a test event for the 2022 FIFA World Cup, took place in Qatar from November to December 2021. The event showcased 32 matches across six venues that will also be utilized in the World Cup. This paper presents a groundbreaking spatiotemporal analysis of traffic mobility during the event, using data collected from WaveTraf road sensors. The sensors detect and track Bluetooth and WiFi-enabled user devices, allowing for an analysis of user mobility, including the origin of spectators, the time taken to reach the stadium, dwell time inside the stadium, and the time taken to return to their origin after leaving the stadium. The study processed tens of millions of records, overcoming challenges such as filtering data anomalies and validating and preparing the data for analysis. The findings offer a comprehensive understanding of user mobility patterns during the event, which is valuable information for event organizers, city planners, and transportation providers to optimize services and enhance the overall user experience. Furthermore, the study highlights the importance of leveraging advanced technology to improve the planning and execution of large-scale events and transportation systems. The research showcases the power of data analytics in providing key insights into human mobility.
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