Author ODA, Makiko| KOLJONEN, Saija| ISHIOKA, Fumio| ALHO, Petteri| SUITO, Hiroshi| HUTTULA, Timo| KURIHARA, Koji|
Published Date 2014-06
Publication Title SYKE-OU Project Report
Content Type Research Paper
JaLCDOI 10.18926/fest/48238
Title Alternative A Survey Study of University Students’ Awareness on Social Contribution and Regional Cooperation
FullText URL fest_017_007_021.pdf
Author Na, Myungjin| Araki, Masaru| Kurihara, Koji|
Abstract Recently, competition among universities has a whole new face, and emphasis is given toward interdependence and interactive evolution between universities and regions. From this social perspective, universities should contribute to regional development by serving the regional society using results of intellectual work, and it is necessary for universities to accomplish social contribution and regional cooperation strategically. One of the most important parts in strategic planning is that students participate in activities for social contribution and regional cooperation. This paper presents a survey of the university students’ awareness on social contribution and regional cooperation using several statistical methods and attempts to find factors which affect activities for social contribution and regional cooperation using logistic regression analysis.
Keywords University students’ awareness social contribution and regional cooperation volunteer activities exploratory factor analysis logistic regression analysis
Publication Title 岡山大学環境理工学部研究報告
Published Date 2012-03
Volume volume17
Issue issue1
Start Page 7
End Page 21
ISSN 2185-3347
language 日本語
File Version publisher
NAID 120004025483
JaLCDOI 10.18926/fest/12827
FullText URL 13_051_056.pdf
Author Sanghoon Han| Ishioka, Fumio| Kurihara, Koji|
Abstract Echelon analysis (Myers et al., 1997) is a method to investigate the phase-structure of spatial data systematically and objectively. This method is also useful to prospect the areas of interest in regional monitoring of a surface variable. The spatial scan statistic (Kulldorff, 1997) is a method of detection and inference for the zones of significantly high or low rates based on the likelihood ratio. These zones are called hotspots. The purpose of this paper is to detect the hotspot area for spatial data using echelon. We perform echelon analysis for Korea earthquake data. We use ESRI’s ArcGIS that is geographical information system (GIS) software to make the meshed areas and get contiguity information of these areas. With this contiguity information on the meshed areas, we detect the hotspot area using echelon analysis and spatial scan statistics. In addition, we compare with the result of analysis based on the total of number of times simply and the seismic wave energy.
Keywords Hotspot Echelon analysis Spatial scan statistics Seismic Wave Energy
Publication Title 岡山大学環境理工学部研究報告
Published Date 2008-03
Volume volume13
Issue issue1
Start Page 51
End Page 56
ISSN 1341-9099
language 英語
File Version publisher
NAID 120002304882
JaLCDOI 10.18926/fest/12820
Title Alternative Survey Study of Resident Awareness on Waste Final Disposal Site
FullText URL 13_035_042.pdf
Author Na, Myungjin| Ono, Yusaku| Ono, Yoshiro| Kurihara, Koji|
Abstract As construction of final waste disposal site is essential recently, a problem where we should build it becomes important issue. However, public opposition occurs for the construction because the final waste disposal site has negative image such as pollution of various kinds, increase of traffic volume and noise by truck and bulldozer, and aggravation of living conditions. Public opposition is the most critical problem in constructing final waste disposal site. The source of public opposition has been characterized as NIMBY or not-in-my-yard. This paper presents a survey of the resident awareness on final waste disposal site, and attempts to find factors which affect the public opposition using logistic regression analysis and CART(classification and regression tree).
Keywords final waste disposal site resident awareness public opposition logistic regression analysis CART(classification and regression tree)
Publication Title 岡山大学環境理工学部研究報告
Published Date 2008-03
Volume volume13
Issue issue1
Start Page 35
End Page 42
ISSN 1341-9099
language 日本語
File Version publisher
NAID 120002304860