基于信用卡和借记卡交易的旅游流动性模型

Leibnitz-Pavel Rojas-Bustamante, Hugo Alatrista Salas, Miguel Núñez-del-Prado, Joseph Chamorro Gómez
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引用次数: 0

摘要

国际和国内旅游业支持着各国的经济增长。为了更好地理解这种活动,从不同的空间粒度级别对其进行分析是至关重要的。在这项工作中,网络是由与部门、省和地区之间的资金流动相关的数据生成的。后来,这些网络被用来建立社区,并使用引力技术估计游客需求。我们的发现提供了关于国内游客行为的重要信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tourism Mobility Modeling based on Credit and Debit Card Transactions
International and domestic tourism supports the economic growth of countries. To better understand this activity, it is crucial to analyze it from different spatial granularity levels. In this work, networks were generated from data associated with money flow among departments, provinces, and districts. Later, these networks were used to build communities, and the tourist demand was estimated using a gravitational technique. Our findings provide essential information about how domestic tourists behave.
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