Name
Abstract | ||
|---|---|---|
Recently, tourism activity analysis has been required in order to construct effective tourism policy and strategy for personal tour which became the mainstream Of Japan. In conventional tourism activity analysis, the information for analysis, i.e., tourism activity information, is collected on each tourist by using questionnaire, and then the analysis is carried out on the basis of it. However, it is difficult to realize effective tourism activity analysis in conventional method because the difficulty in collecting accurate questionnaire-based information collection has and detailed tourism activity information. In this paper, we propose a GPS log mining method in order to implement effective tourism activity analysis. GPS can automatically and continuously collect the position information where the GPS receiver exists. It is likely that an effective tourism activity analysis can be realized by extracting accurate tourism activity information from the information which is collected by GPS. We confirm the effectiveness of the proposed method through the experiments using the GPS log data collected from actual tourists in Hokkaido. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/3-540-32391-0_36 | Soft Computing as Transdisciplinary Science and Technology |
Keywords | Field | DocType |
data collection | Data science,Gps receiver,Tourism,Global Positioning System,Log mining,Assisted GPS,Geography | Conference |
ISSN | Citations | PageRank |
1615-3871 | 0 | 0.34 |
References | Authors | |
1 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mitsuyoshi Nagao | 1 | 2 | 1.25 |
| Hidenori Kawamura | 2 | 42 | 18.22 |
| Masahito Yamamoto | 3 | 10 | 3.70 |
| Azuma Ohuchi | 4 | 386 | 68.99 |