商业繁荣的地方：通过基于位置的服务数据预测奥运会对当地居民的影响
Where Businesses Thrive: Predicting the Impact of the Olympic Games on Local Retailers through Location-based Services Data
摘要：
奥运会是一项重要的体育赛事，对主办城市的总体经济格局有着显著的影响。传统的经济评估侧重于赛事对国民收入的总体影响，但未能提供微观层面的见解，说明为什么当地企业将从奥运会期间增加的活动中受益。在本文中，我们提供了一种新的方法来模拟奥运会对当地零售商的影响，通过分析从一个大型的基于位置的社会服务，Foursquare挖掘的数据集。我们假设，企业的空间定位以及游客的流动趋势是零售商是否会在活动期间提高其受欢迎程度的主要指标。为了证实这一点，我们制定了一个零售赢家预测任务的背景下，我们评估了一组地理和流动性指标。我们发现，邻近体育场，社区活动的多样性，附近地区的社交性，以及客户流量的概率和事件的地方，如体育场和公园都是至关重要的因素。通过监督学习技术，我们证明了企业的成功取决于地理和流动性因素的结合。我们的研究结果表明，基于位置的社交网络，其中众包信息的动态互动的用户与城市空间变得公开，提出了一种替代媒介，以评估经济影响的大型活动在城市。
英文摘要：
The Olympic Games are an important sporting event with notable consequences for the general economic landscape of the host city. Traditional economic assessments focus on the aggregated impact of the event on the national income, but fail to provide micro-scale insights on why local businesses will benefit from the increased activity during the Games. In this paper we provide a novel approach to modeling the impact of the Olympic Games on local retailers by analyzing a dataset mined from a large location-based social service, Foursquare. We hypothesize that the spatial positioning of businesses as well as the mobility trends of visitors are primary indicators of whether retailers will rise their popularity during the event. To confirm this we formulate a retail winners prediction task in the context of which we evaluate a set of geographic and mobility metrics. We find that the proximity to stadiums, the diversity of activity in the neighborhood, the nearby area sociability, as well as the probability of customer flows from and to event places such as stadiums and parks are all vital factors. Through supervised learning techniques we demonstrate that the success of businesses hinges on a combination of both geographic and mobility factors. Our results suggest that location-based social networks, where crowdsourced information about the dynamic interaction of users with urban spaces becomes publicly available, present an alternative medium to assess the economic impact of large scale events in a city.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
