Tourism Mobility Modeling based on Credit and Debit Card Transactions

Abstract

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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