通过人类经济和社交媒体活动的大数据来衡量城市对外国游客的吸引力
Scaling of city attractiveness for foreign visitors through big data of human economical and social media activity
摘要：
研究人类行为规律和规律的科学研究，如今越来越依赖于人类社会活动所产生的大量广泛可用的数字信息。在本文中，我们利用人类活动的三个不同方面（即，银行卡交易，地理标记的照片和推特）在西班牙量化城市吸引力的外国游客。本文的一个重要发现是城市吸引力与其人口规模的超线性标度。对于不同的城市定义方式和不同的数据源，观察到的标度指数几乎保持不变，强调了我们发现的鲁棒性。时间变化的标度指数也被认为是为了揭示季节性模式的吸引力
英文摘要：
Scientific studies investigating laws and regularities of human behavior are nowadays increasingly relying on the wealth of widely available digital information produced by human social activity. In this paper we leverage big data created by three different aspects of human activity (i.e., bank card transactions, geotagged photographs and tweets) in Spain for quantifying city attractiveness for the foreign visitors. An important finding of this papers is a strong superlinear scaling of city attractiveness with its population size. The observed scaling exponent stays nearly the same for different ways of defining cities and for different data sources, emphasizing the robustness of our finding. Temporal variation of the scaling exponent is also considered in order to reveal seasonal patterns in the attractiveness
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。
