Spatial and Temporal Data Mining of Tourists' Behavior Dynamics by Handheld Positioning Devices

• Furutani Tomoyuki

  Keio University

Bibliographic Information

Other Title

• 携帯型位置情報端末を用いた観光行動動態の時空間データマイニング
• 携帯型位置情報端末を用いた観光行動動態の時空間データマイニング--箱根地域を事例として
• ケイタイガタ イチ ジョウホウ タンマツ オ モチイタ カンコウ コウドウ ドウタイ ノ ジクウカン データマイニング ハコネ チイキ オ ジレイ ト シテ
• 箱根地域を事例として
• A Case Study in Hakone

Abstract

This study aims to propose a data mining method that integrates a spatio-temporal clustering and a hybrid hierarchical clustering in order to produce clusters on tourists' individual attributes and their behavior dynamics obtained by GPS. First of all, tourists' behavior survey is conducted in Hakone area. Secondary, the proposed clustering method is applied. The number of clusters are detected automatically by maximizing averages of each cluster's correlation of individual attributes and spatio-temporal kernel density. Then, 150 one-day trip tourists are clustered into 18 types and 239 two-days trip tourists are clustered into 24 types. It is also indicated that each cluster's features relates tourists' usage of tourism related media and travel information.

Journal

• Journal of the City Planning Institute of Japan

  Journal of the City Planning Institute of Japan 41.3 (0), 1-6, 2006

  The City Planning Institute of Japan

Keywords

• spatial and temporal point pattern
• hybrid hierarchical clustering
• tourists' behavior
• data mining
• GPS

Details

• CRID: 1390001204214172800
• NII Article ID: 10018314481
• NII Book ID: AN10276504
• DOI: 10.11361/journalcpij.41.3.1
• ISSN: 21850593
• ISSN: 09160647
• NDL BIB ID: 8565857
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I8565857
• Web Site: https://www.jstage.jst.go.jp/article/journalcpij/41.3/0/41.3_1/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed