Examining Spatial Movement Patterns of Travelers: Cases in Tourist Destinations

Masahide Yamamoto (), Mitsuru Sato () and Tatsuo Kamitani
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Masahide Yamamoto: Nagoya Gakuin University
Mitsuru Sato: The University of Fukuchiyama
Tatsuo Kamitani: The University of Fukuchiyama

Chapter Chapter 12 in Internet of Things, 2021, pp 251-273 from Springer

Abstract: Abstract This chapter uses “Mobile Kukan Toukei™” (mobile spatial statistics) to examine people’s characteristics and spatial movement patterns in specific tourist destinations in Nagoya City. This chapter also attempts to estimate visitor volume and flow using movement data acquired by Wi-Fi tracking sensors installed widely in tourism destinations. A Wi-Fi tracking sensor is a device that acquires a media access control (MAC) address unique to communication devices such as smartphones. By installing sensors in a tourism area, the same MAC address is acquired between them, and a visitor’s movement information can be collected. This chapter examined wide-area travel routes of visitors in the northern part of the Kyoto Prefecture and combined data obtained through sensors with other survey data to clarify movement patterns of visitors for each attribute within the area.

Keywords: Wi-Fi tracking sensor; Mobile Kukan Toukei™; Tourism; Statistical population data; Mobile phone (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-030-70478-0_12

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DOI: 10.1007/978-3-030-70478-0_12

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