This project took tourism product network groupbuying as the research perspective and virtual tourist flow of tourism product network groupbuying from 26 tourism destinations as research data, and used spatial analysis methods to study the spatial difference and the dynamic forming mechanism of virtual tourism flow. The research results showed that: 1) On the whole, network groupbuying virtual flow reveal the characteristics of weak discrete distribution, however, locally show some aggregation characteristics. In general, virtual flow are strong in southern coastal and middle China where are rich in tourism resources, and weak in mid slant western, northeastern, and northern China. 2) Spatial distribution of group purchase virtual flow are the joint acted result of internal, external and environmental driving forces. Wherein, the external driving forces include three main factors, and their impacts from high to low can be ordered as: product price, product type, and network marketing spatial structure. 3) To study groupbuying virtual tourism flow is an innovation, and it achieves the goal to study tourism flow in space, which compensates the weakness in current situation. Furthermore, the direction of virtual tourism flow could reflect the real tourism flow in certain degree, even it could lead the happen of the real tourism flow. Meanwhile, researches of virtual tourism flow could offer predictions and warnings for human flow management and volume management in tourist areas.
Key words
network groupbuying /
virtual tourist flow /
spatial difference /
dynamic forming mechanism
{{custom_keyword}} /
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
References
［1］Kauffman R J,Wang B.New Buyers’ Arrival under Dynamic Pricing Market Microstructure： The Case of Groupbuying Discounts on the Internet［J］.Journal of Management Information System，2001,18（2）：157-188.
［2］Peng Lifang, Li Nannan.FAHPbased Evaluation of the Groupbuying Website［C］// IEEE.2011 8th International Conference on Service Systems and Service Management (ICSSSM2011). New York: Institute of Electrical and Electronics Engineers Inc.,2011.
［3］Sun P C, Luo J J, Liu Y L.Perceived Risk and Trust in Online Group Buying Context［C］// IEEE. 2010 International Conference on Information Management, Innovation Management and Industrial Engineering (ICIII). New York: Institute of Electrical and Electronics Engineers Inc.,2010.
［4］杨 璞.浅析网络团购［J］.商场现代化，2011（6）：69-70.
［5］费小燕. 基于博弈论的网络团购研究［J］.当代经济，2011（7）:110-112.
［6］宋祎旎.基于B2C的网络团购模式研究［D］.上海：华中师范大学，2007.
［7］王乐鹏.论休闲旅游产品的网络营销策略［J］.市场论坛，2011（2）：75-76.
［8］王乐鹏.基于SWOT分析的旅游团购网站案例研究［J］.内蒙古科技与经济，2011（20）：15-16.
［9］单浩杰.网络团购旅游产品风险评价及规避风险对策分析［J］.现代营销，2011（12）：200-201.
［10］陈舒慧.旅游网络营销的新路径分析——旅游团购［J］.兰州教育学院学报，2011（4）：41-43.
［11］牛亚菲. 旅游供给与需求的空间关系研究［J］.地理学报,1996, 51(1): 80-87.
［12］Mansfield Y.Spatial Pattern of International Tourist Flows: Towards A Theoretical Framework［J］. Progress in Human Geography, 1990, 14(3): 372-390.
［13］陆林.山岳风景区旅游者空间行为研究:兼论黄山与美国黄石公园之比较［J］.地理学报, 1996,51(4): 315-321.
［14］Mathieson A, Wall G. Tourism: Economic, Physical and Social Impacts［M］.Harlow： Longman, 1982.
［15］张捷, 都金康, 周寅康,等.自然观光旅游地客源市场的空间结构研究［J］.地理学报, 1999, 54(4): 357-369.
［16］Getis A，Ord J K．The Analysis of Spatial Association by Use of Distance Statistics［J］．Geographical Analysis，1992,24（3）：189-240．
［17］吴玉鸣．中国区域研发、知识溢出与创新的空间计量经济研究［M］．北京：人民出版社，2007．
［18］吴玉鸣，徐建华．中国区域经济增长集聚的空间统计分析［J］．地理科学，2004，24（6）：654-659．
［19］Anselin L．Local Indicators of Spatial AssociationLISA［J］．Geographical Analysis，1995，27（2）：93-115．
［20］涂玮,黄震方，方叶林.旅游地旅游产品网络团购营销空间特征研究——以拉手网、窝窝团、糯米网三大团购网站为例［J］.南京师大学报（自然科学版），2013，26(2):1-6.
［21］龙茂兴,孙根年,马丽君,等.区域旅游网络关注度与客流量时空动态比较分析——以四川为例［J］.地域研究与开发，2011，30（3）：93-97.
{{custom_fnGroup.title_en}}
Footnotes
{{custom_fn.content}}
PDF(895 KB)
