刘嘉茵,韩利红,郑冬连

• 1:河北科技大学经济管理学院
• 2:河北省国际人才交流协会

摘要(Abstract)：

针对日本市民对慢观光的词语认知、兴趣程度、观光需求等,采取经典统计和主成分分析及聚类分析的方法,构建自然嗜好度和慢观光倾向2个特征因子,分组后结合职业、居住地、收入、年龄等个人属性分析评价市民慢观光意识的种类及特征。

关键词(KeyWords)： 慢观光;主成分分析;意识特征

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 刘嘉茵,韩利红,郑冬连

参考文献(References)：

• [1]岡本信之.展望21世纪的旅行.观光.休闲[J].运输与经济,2001,61(6):42-48.OKAMOTO N.Looking to the 21st century,travel,sightsee-ing and leisure[J].Transport and Economy,2001,61(6):42-48.
• [2]杨春志,丁成日.日本快速城市化时期都市发展战略评价[J].城市问题,2012(10):87-91.YANG Chunzhi,DING Chengri.Assessment of the Japanesestrategy of metropolis development during the rapid urbaniza-tion[J].Urban Problems,2012(10):87-91.
• [3]山田晴義.地域再生的城市规划.乡村再建——循环型社会的地域规划论[M].东京:行政出版社,2003.YAMADA H.Regeneration of Urban Planning and RuralConstruction[M].Tokyo:Gyosei Publisher,2003.
• [4]竹内傳史.慢观光的追求[J].日本都市学会年报,2004(38):44-49.DENSHI T.The pursuit of slow tourism[J].Annals of JapanSociety for Urbanology,2004(38):44-49.
• [5]江口信清.综合性现象的观光[M].京都:晃洋书房,2005.EGUCHI N.Comprehensiveness Tourism[M].Kyoto:KoyoShobo,2005.
• [6]朱星宇,陈勇强.SPSS多元统计分析方法及应用[M].北京:清华大学出版社,2011.ZHU Xingyu,CHEN Yongqiang.SPSS Multivariate Statisti-cal Analysis Methods and Applications[M].Beijing:TsinghuaUniversity Press,2011.
• [7]范文,孙红跃,王萍.基于主成分分析的密度聚类算法[J].天津城市建设学院学报,2012,18(1):60-62.FAN Wen,SUN Hongyue,WANG Ping.Density clusteringalgorithm based on principal component analysis[J].Journal ofTianjin Institute of Urban Construction,2012,18(1):60-62.
• [8]樊劲辉,陆薇,李争.一种改进的SOFM聚类算法研究[J].河北科技大学学报,2012,32(6):514-518.FAN Jinhui,LU Wei,LI Zheng.Study on an improved SOFMclustering algorithm[J].Journal of Hebei University of Sci-ence and Technology,2012,32(6):514-518.
• [9]李荣平,李剑玲.多指标统计综合评价方法研究[J].河北科技大学学报,2004,25(1):85-88.LI Rongping,LI Jianling.Research on regional technique cre-ativity and vires evaluation method[J].Journal of Hebei Uni-versity of Science and Technology,2004,25(1):85-88.
• [10]李冬梅,陈军霞.聚类分析法在公交网络评价中的应用[J].河北科技大学学报,2012,32(3):279-282.LI Dongmei,CHEN Junxia.Application of cluster analysis inevaluation of public traffic network[J].Journal of Hebei Uni-versity of Science and Technology,2012,32(3):279-282.
• [11]刘权乐,陈薇.基于个体出行能耗的城市客运交通系统节能研究[J].河北科技大学学报(社会科学版),2011,11(2):33-38.LIU Quanle,CHEN Wei.Research on energy conservationof urban passenger transport based on individual journey en-ergy consumption[J].Journal of Hebei University of Scienceand Technology(Social Science Edition),2011,11(2):33-38.