A global analysis of cities’ geosocial temporal signatures for points of interest hours of operation
A global analysis of cities’ geosocial temporal signatures for points of interest hours of operation
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DOI：
10.1080/13658816.2019.1615069
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发表时间：
2020-04
影响因子：
5.7
通讯作者：
Kevin A. Sparks;Gautam Thakur;Amol Pasarkar;M. Urban
中科院分区：
文献类型：
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作者：
Kevin A. Sparks;Gautam Thakur;Amol Pasarkar;M. Urban
摘要城市中人类与兴趣点（POI）的交互的时间性质取决于地点类型和区域位置。在意大利，许多人可能会光顾餐馆（地点类型）的时间可能与许多人可能会光顾黎巴嫩餐馆的时间不同（即区域差异）。地理社会数据是一个强大的资源来模拟这些城市的时间差异，因为用于研究跨文化差异的传统方法不能扩展到全球范围。随着城市人口和经济发展的持续增长，确定社会和地球物理（例如，影响城市功能的因素仍然重要和不完整。在这项工作中，我们采取了定量的方法，应用动态时间扭曲和层次聚类的时间签名模型地理社会的时间模式，零售和餐厅Facebook POI的营业时间为100多个城市在世界各地的90个国家。结果表明，城市的时间模式集群，以反映他们所代表的文化区域。此外，时间模式受到社会和地球物理因素的影响。数据趋势表明，社会因素影响时间特征的独特下降，地球物理因素影响日常时间模式的开始和结束。
ABSTRACT The temporal nature of humans interaction with Points of Interest (POIs) in cities can differ depending on place type and regional location. Times when many people are likely to visit restaurants (place type) in Italy, may differ from times when many people are likely to visit restaurants in Lebanon (i.e. regional differences). Geosocial data are a powerful resource to model these temporal differences in cities, as traditional methods used to study cross-cultural differences do not scale to a global level. As cities continue to grow in population and economic development, research identifying the social and geophysical (e.g., climate) factors that influence city function remains important and incomplete. In this work, we take a quantitative approach, applying dynamic time warping and hierarchical clustering on temporal signatures to model geosocial temporal patterns for Retail and Restaurant Facebook POIs hours of operation for more than 100 cities in 90 countries around the world. Results show cities’ temporal patterns cluster to reflect the cultural region they represent. Furthermore, temporal patterns are influenced by a mix of social and geophysical factors. Trends in the data suggest social factors influence unique drops in temporal signatures, and geophysical factors influence when daily temporal patterns start and finish.