Association Rule Mining Tourist-Attractive Destinations for the Sustainable Development of a Large Tourism Area in Hokkaido Using Wi-Fi Tracking Data

Abstract

The rise of radiofrequency scanner technology has led to its potential application in the observation of people’s movements. This study used a Wi-Fi scanner device to track tourists’ traveling behavior in Hokkaido’s tourism area, which occupies a large region that features a unique natural landscape. Inbound tourists have significantly increased in recent years; thus, tourism’s sustainability is considered to be important for maintaining the tourism atmosphere in the long term. Using internet-enabled technology to conduct extensive area surveys can overcome the limitations imposed by conventional methods. This study aims to use digital footprint data to describe and understand traveler mobility in a large tourism area in Hokkaido. Association rule mining (ARM)—a machine learning methodology—was performed on a large dataset of transactions to identify the rules that link destinations visited by tourists. This process resulted in the discovery of traveling patterns that revealed the association rules between destinations, and the attractiveness of the destinations was scored on the basis of visiting frequency, with both inbound and outbound movements considered. A visualization method was used to illustrate the relationships between destinations and simplify the mathematical descriptions of traveler mobility in an attractive tourism area. Hence, mining the attractiveness of destinations in a large tourism area using an ARM method integrated with a Wi-Fi mobility tracking approach can provide accurate information that forms a basis for developing sustainable destination management and tourism policies.

Sustainable Tourism in the Open Innovation Realm: A Bibliometric Analysis

“…In this direction, digital sustainability assumes two specific connotations shaped by the holistic perspective of the supply and demand side together. From the demand side, there are digital tourists, like experiencing the destination, attractions and services according to the vision of using digital technologies during their stay [21]. These technologies offer the possibility of increasing the level of immersion within the tourism experience [22].…”

“…As emerged from the graph, some of the most recurring words are performance (21), management (24), and competitiveness (13). Indeed, scholars question how tourism firms and destinations can achieve the sustainable competitive advantage (from here the terms competitiveness, performance as well as the most generic management) [100,101].…”

Optimizing intra-facility crowding in Wi-Fi environments using continuous-time Markov chains

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