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Examining Spatial Movement Patterns of Travelers: Cases in Tourist Destinations

In: Internet of Things

Author

Listed:
  • Masahide Yamamoto

    (Nagoya Gakuin University)

  • Mitsuru Sato

    (The University of Fukuchiyama)

  • Tatsuo Kamitani

    (The University of Fukuchiyama)

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.

Suggested Citation

  • Masahide Yamamoto & Mitsuru Sato & Tatsuo Kamitani, 2021. "Examining Spatial Movement Patterns of Travelers: Cases in Tourist Destinations," International Series in Operations Research & Management Science, in: Fausto Pedro García Márquez & Benjamin Lev (ed.), Internet of Things, chapter 0, pages 251-273, Springer.
    • Handle: RePEc:spr:isochp:978-3-030-70478-0_12
    DOI: 10.1007/978-3-030-70478-0_12
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