THE DYNAMIC MECHANISM OF THE CITY DOMESTIC TOURIST FLOW SPACE: A CASE STUDY OF LUOYANG
YAN Shan-shan1,2, JIN Cheng3
1. School of Tourism Management, Sun Yat-sen University, Guangzhou 510275, China;
2. Gannan medical university, Ganzhou 341000, China;
3. School of geography science, Nanjing 210023, China
Abstract：City area is an important spatial carrier of tourism development, and also a distribution center of tourism flow. The proliferation of large numbers of tourists in the city brings about many practical contradictions, and has a far-reaching impact on the city planning and construction and tourism development. However, the traditional "push-pull" general dynamic model of inbound tourism flow at the national scale can not effectively explain the dynamic mechanism of spatial diffusion of domestic tourism flow within a city. How to clarify the dynamic mechanism of spatial diffusion of inbound tourism flow within a city has become an important scientific proposition to be solved urgently. Based on the "first-hand data" of 25 scenic spots in Luoyang City, this paper uses factor analysis and structural equation model analysis to explore the dynamic mechanism of spatial diffusion of tourism flow within the city. The results show that:1) The spatial diffusion dynamic mechanism of intra-city tourism flows is a complex comprehensive dynamic system composed of the internal and external thrust of tourists themselves, the pull of tourist destinations and the resistance between the two places. 2) Thrust is the greatest driving force for the agglomeration and diffusion of urban tourism flows. 3) The spatial diffusion of urban tourism flows includes external and internal thrust, which is composed of four factors:self-promotion, leisure relaxation, social interaction and health novelty seeking. 4) The potential desire for leisure and relaxation is the main internal motive force, the intermediary recommendation is the most important external motive force, the core attraction of scenic spots is the main pulling force factor, and the obstruction of objective obstacles is greater than that of subjective obstacles.
闫闪闪, 靳诚. 市域内部旅游流空间扩散动力机制——以洛阳市为例[J]. 人文地理, 2019, 34(5): 149-158.
YAN Shan-shan, JIN Cheng. THE DYNAMIC MECHANISM OF THE CITY DOMESTIC TOURIST FLOW SPACE: A CASE STUDY OF LUOYANG. HUMAN GEOGRAPHY, 2019, 34(5): 149-158.
Bowden J. A cross-national analysis of international tourist flows in China[J]. Tourism Geographies, 2003,5(3):257-279.
[2]
Guo Y R, Jie Z, Yang Y, et al. Modeling the fluctuation patterns of monthly inbound tourist flows to China:A complex network approach[J]. Asia Pacific Journal of Tourism Research, 2015,20(8):1-12.
[3]
Chen R, Liang C Y, Hong W C, et al. Forecasting holiday daily tourist flow based on seasonal support vector regression with adaptive genetic algorithm[J]. Applied Soft Computing, 2015,26:435-443.
[4]
闫闪闪,梁留科,索志辉,等.基于大数据的洛阳市旅游流时空分布特征[J].经济地理,2017,37(8):216-224.[Yan Shanshan, Liang Liuke, Suo Zhihui, et al. Big data based spatiotemporal distribution characters of tourism flow in Luoyang[J]. Economic Geography, 2017,37(8):216-224.]
[5]
Chua A, Servillo L, Marcheggiani E, et al. Mapping Cilento:Using geotagged social media data to characterize tourist flows in southern Italy[J]. Tourism Management, 2016,57:295-310.
[6]
Andraz J M, Rodrigues P M M. Monitoring tourism flows and destination management:Empirical evidence for Portugal[J]. Tourism Management, 2016,56:1-7.
[7]
秦静,李郎平,唐鸣镝,等.基于地理标记照片的北京市入境旅游流空间特征[J].地理学报,2018,73(8):1556-1570.[Qin Jing, Li Langping, Tang Mingdi, et al. Exploring the spatial characteristics of Beijing inbound tourist flow based on geotagged photos[J]. Acta Geographica Sinica, 2018,73(8):1556-1570.]
[8]
Kim S S, Prideaux B, Timothy D. Factors affecting bilateral Chinese and Japanese travel[J]. Annals of Tourism Research, 2016,61:80-95.
[9]
Balli F, Balli H O, Louis R J. The impacts of immigrants and institutions on bilateral tourism flows[J]. Tourism Management, 2016,52:221-229.
[10]
黄泰.长三角城市群旅游流潜力格局演变及其影响因素[J].资源科学,2016,38(2):364-376.[Huang Tai. Evolution characteristics and factors affecting tourist flow potential in the Yangtze River Delta urban agglomerations[J]. Resources Science, 2016,38(2):364-376.]
[11]
Teresa G M, Teodosio P A. An econometric model for international tourism flows to Spain[J]. Applied Economics Letters, 2000,7(8):525-529.
[12]
Vita G D. The long-run impact of exchange rate regimes on international tourism flows[J]. Tourism Management, 2014,45(1):226-233.
[13]
章锦河,张捷,李娜,等.中国国内旅游流空间场效应分析[J].地理研究,2005,24(2):293-303.[Zhang Jinhe, Zhang Jie, Li Na, et al. An analysis on spatial field effect of domestic tourist flows in China[J]. Geographical Research, 2005,24(2):293-303.]
[14]
Lazzeretti L, Petrillo C S. Tourism Local Systems and Networking[M]. Amsterdam:Elsevier, 2013:20-34.
[15]
王金莹,吴晋峰,唐澜,等.基于SNA的中国入境欧洲旅游流网络性质和结构特征研究[J].人文地理,2013,28(6):147-153.[Wang Jinying, Wu Jinfeng, Tang Lan, et al. Research on the properties and structural characteristics of inbound European tourist flows network in China based on SNA[J]. Human Geography, 2013,28(6):147-153.]
[16]
刘宏盈,韦丽柳,张娟.基于旅游线路的区域旅游流网络结构特征研究[J].人文地理, 2012,27(4):131-136.[Liu Hongying, Wei Liliu, Zhang Juan. The characteristics of network structure of area tourist flows based on the tourism routine[J]. Human Geograohy, 2012,27(4):131-136.]
[17]
Dann G M S. Tourist motivation:An appraisal[J]. Annals of Tourism Research, 1981,8(2):187-219.
[18]
杨兴柱,顾朝林,王群. 旅游流驱动力系统分析[J].地理研究,2011, 30(1):23-36.[Yang Xingzhu, Gu Chaolin, Wang Qun. Study on the driving force of tourist flows[J]. Geographical Research, 2011,30(1):23-36.]
[19]
赵现红.中国典型区域入境旅游流空间扩散驱动机制研究[D].西安:陕西师范大学,2009:3-4.[Zhao Xianhong. Study on the Spatial Diffusion Driving Mechanism of Inbound Tourist Flows in Typical Regions of China[D]. Xi'an:Shaanxi Normal University, 2009:3-4.]
[20]
郑鹏,马耀峰,李天顺,等.我国入境旅游者流动行为机理分析——对旅游热点城市西安的实证研究[J].经济地理,2010,30(1):139-144.[Zheng Peng, Ma Yaofeng, Li Tianshun, et al. A mechanism analysis on the flow behavior of Chinese inbound tourists:On the popular destination city of Xi'an[J]. Economic Geography, 2010,30(1):139-144.]
[21]
郑鹏,马耀峰,王洁洁,等.基于"推-拉"理论的美国旅游者旅华流动影响因素研究[J].人文地理,2010,25(5):112-117.[Zheng Peng, Ma Yaofeng, Wang Jiejie, et al. A study of the influencing factors of the inbound tourists from the U.S.A. based on "Push-Pull" theory[J]. Human Geograohy, 2010,25(5):112-117.]
[22]
郑鹏,马耀峰,王洁洁,等.来华外国旅游者推拉驱力的相关性研究[J]. 人文地理,2014,29(1):146-153.[Zheng Peng, Ma Yaofeng, Wang Jiejie, et al. An analysis of push and pull relationships in the foreign tourists to China[J]. Human Geograohy, 2014,29(1):146-153.]
[23]
高军,吴必虎,马耀峰.旅华英国游客O→D旅游客流动力机制研究[J].旅游学刊,2011,26(2):35-40.[Gao Jun, Wu Bihu, Ma Yaofeng. Study on origin to destination tourist traffic dynamic mechanism of British tourists to China[J]. Tourism Tribune, 2011,26(2):35-40.]
[24]
张佑印,顾静,马耀峰,等.北京入境旅游流分级扩散模式及动力机制分析[J].人文地理,2012,27(5):120-127.[Zhang Youyin, Gu Jing, Ma Yaofeng, et al. Study on diffusion model and dynamic mechanism of Beijing inbound tourists' flow[J]. Human Geograghy, 2012, 27(5):120-127.]
[25]
戢晓峰,李康康,陈方.节假日旅游流时空分异及其形成机制——以云南省为例[J].经济地理,2018,38(3):200-207.[Ji Xiaofeng, Li Kangkang, Chen Fang. Study on spatial and temporal differentiation of holiday tourism flow and its formation mechanism:A case study of Yunnan provience[J]. Economic Geography, 2018,38(3):200-207.]
[26]
包亚芳.基于"推-拉"理论的杭州老年人出游动机研究[J].旅游学刊,2009,24(11):47-52.[Bao Yafang. A study on seniors' travel motivation in Hangzhou based on "Push-Pull" theory[J]. Tourism Tribune, 2009,24(11):47-52.]
[27]
李小建.经济地理学研究中的尺度问题[J].经济地理,2005,25(4):433-436.[Li Xiaojian. Scale and economic geography inquiry[J]. Economic Geography, 2005,25(4):433-436.]
