IMR OpenIR
Segmentation by domestic visitor motivation: Changbai Mountain Biosphere Reserve, China
其他题名Segmentation by domestic visitor motivation: Changbai Mountain Biosphere Reserve, China
Gu Xiaoping1; Lewis Bernard J1; Niu Lijun3; Yu Dapao1; Zhou Li1; Zhou Wangming1; Gong Zhencai3; Tai Zhijuan3; Dai Limin1
2018
发表期刊JOURNAL OF MOUNTAIN SCIENCE
ISSN1672-6316
卷号15期号:8页码:1711-1727
摘要Protected areas have become important tourism products that promoted as attractions by the tourism industry. Taking the Changbai Mountain Biosphere Reserve in Northeast China as a case, this study addresses visitor needs as a basis for developing a tourism strategy aimed at enhancing tourist opportunities at this reserve. A factor-cluster approach was employed to identify visitor segment profiles based on their visit motivations. Through random sampling, a pencil-and-paper questionnaire in Chinese language was collected from 637 domestic tourists in the study area. A principal components analysis of motivations revealed eight motivational factors, and four distinct groups of tourists-Nature travelers, Cultural landscape tourists, Food & shopping enthusiasts, and Eclectic adventurers-were identified. Understanding the differences in these visitor segments will help the management authority effectively analyze nature reserve attributes and provide alternative activities and services to tourists. Finally, within the dual framework of market segmentation and destination management some management recommendations and marketing implications are suggested.
其他摘要Protected areas have become important tourism products that promoted as attractions by the tourism industry. Taking the Changbai Mountain Biosphere Reserve in Northeast China as a case, this study addresses visitor needs as a basis for developing a tourism strategy aimed at enhancing tourist opportunities at this reserve. A factor-cluster approach was employed to identify visitor segment profiles based on their visit motivations. Through random sampling, a pencil-and-paper questionnaire in Chinese language was collected from 637 domestic tourists in the study area. A principal components analysis of motivations revealed eight motivational factors, and four distinct groups of tourists – Nature travelers, Cultural landscape tourists, Food & shopping enthusiasts, and Eclectic adventurers – were identified. Understanding the differences in these visitor segments will help the management authority effectively analyze nature reserve attributes and provide alternative activities and services to tourists. Finally, within the dual framework of market segmentation and destination management some management recommendations and marketing implications are suggested.
关键词TRAVEL MOTIVATION PROTECTED AREAS TOURISM MARKET NATIONAL-PARKS RURAL TOURISM PULL FACTORS DESTINATIONS ECOTOURISM PUSH STATE Tourism motivation Visitor segmentation Ecotourism Changbai Mountain Biosphere Reserve Principal components analysis
收录类别CSCD
语种英语
资助项目[Open Research Fund Program of Changbai-Mountain Academy of Sciences] ; [National Fund Nurture Program of College of Economics and Management in SYAU] ; [National Natural Science Foundation Youth Fund Program of China] ; [Chinese Academy of Sciences Visiting Professorship for Senior International Scientists]
CSCD记录号CSCD:6315075
引用统计
被引频次:1[CSCD]   [CSCD记录]
文献类型期刊论文
条目标识符http://ir.imr.ac.cn/handle/321006/156646
专题中国科学院金属研究所
作者单位1.中国科学院
2.中国科学院金属研究所
3.Changbai Mt Acad Science, Changbai Mt Protect & Dev Zone, Erdaobaihe 133613, Peoples R China
推荐引用方式
GB/T 7714
Gu Xiaoping,Lewis Bernard J,Niu Lijun,et al. Segmentation by domestic visitor motivation: Changbai Mountain Biosphere Reserve, China[J]. JOURNAL OF MOUNTAIN SCIENCE,2018,15(8):1711-1727.
APA Gu Xiaoping.,Lewis Bernard J.,Niu Lijun.,Yu Dapao.,Zhou Li.,...&Dai Limin.(2018).Segmentation by domestic visitor motivation: Changbai Mountain Biosphere Reserve, China.JOURNAL OF MOUNTAIN SCIENCE,15(8),1711-1727.
MLA Gu Xiaoping,et al."Segmentation by domestic visitor motivation: Changbai Mountain Biosphere Reserve, China".JOURNAL OF MOUNTAIN SCIENCE 15.8(2018):1711-1727.
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