国内旅游线路网络时空演化特征及影响因素研究——以长三角15市为例

Abstract

Abstract: Optimizing travel itinerary is the key part in promoting high-quality development of domestic tourism. However, it is important to be clear about domestic travel itineraries network. Based on the Yangtze River Delta in 2010, 2016 and 2022, this study used social network analysis to explore the characteristics of domestic travel itinerary network in the Yangtze River delta, and searched the spatiotemporal evolution influencing factors of domestic travel itinerary by quadratic assignment procedure. The results show that: (1) the travel itinerary network in the Yangtze River delta is unbalanced. High frequency travel itinerary is mainly on '5+1' core area. The network is presented with the characteristics of 'concentrate-equilibrium-concentration', the itinerary connection is more close and stable in core area than others. (2) Absolutely leader did not appear on Travel itinerary network in the Yangtze River. It can divide into 4 types (Ⅰ、Ⅱ、Ⅲ、Ⅳ) by power index and network control capability in destination node. The 'Ⅰ type node' is the mainly collection and distribution hub plays a leading role in network pattern. (3) There is remarkable difference under various years, the itinerary connection tends to form the same kind of node. Distance and administrative boundary are the major constrains of travel itinerary network in the Yangtze River. Future efforts should aim to realize more and more equalization and flattening in promoting high-quality development of domestic tourism.

Key words: domestic tourism, travel itinerary network, spatio-temporal evolution, influencing factors, social network analysis, the Yangtze River Delta

CLC Number:

F592

ZHU Ming, SHI Chunyun, GAO Feng, CAO Shan. Spatio-Temporal Evolution Characteristics and Influencing Factors of Domestic Travel Itinerary Network in the Yangtze River Delta[J].TOURISM SCIENCE, 2026, 40(4): 21-36.

References

[1] 陈超,刘家明,马海涛,等,2013.中国农民跨省旅游网络空间结构研究[J].地理学报(4):547-558.
[2] 楚义芳,1992.关于旅游线路设计的初步研究[J].旅游学刊(2):9-13.
[3] 方叶林,苏雪晴,黄震方,等,2022.中国东部沿海五大城市群旅游流网络的结构特征及其韧性评估——基于演化韧性的视角[J].经济地理(2):203-211.
[4] 管宁生,1999.关于游线设计若干问题的研究[J].旅游学刊(3):32-35.
[5] 黄睿,黄震方,靳诚,等,2022.国内大循环背景下国内旅游发展的时空格局演化与影响因素——以江苏省县域尺度为例[J].自然资源学报(2):348-361.
[6] 李山,王铮,钟章奇,2012.旅游空间相互作用的引力模型及其应用[J].地理学报(4):526-544.
[7] 李晓霞,2023.2023年春节假期文化和旅游市场情况[EB/OL].(2023-01-27)[2023-10-27].http://www.mct.gov.cn/whzx/whyw/202301/t20230127_938781.htm.
[8] 林志慧,陈瑛,刘宪锋,等,2022.中国入境旅游城市合作网络时空格局及驱动因素[J].地理学报(8):2034-2049.
[9] 刘法建,张捷,陈冬冬,2010.中国入境旅游流网络结构特征及动因研究[J].地理学报 (8):1013-1024.
[10] 刘军,2009.整体网分析讲义[M].上海:格致出版社.
[11] 刘培学,陆佑海,张金悦,等,2022.目的地区域内旅游线路模式及客流影响因素研究[J].旅游学刊(6):14-26.
[12] 陆林,1996.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 (4):315-321.
[13] 陆林,李磊,侯颖,2022.疫情危机下旅游地韧性与高质量发展[J].旅游学刊(9):1-3.
[14] 陆林,汤云云,2014.珠江三角洲都市圈国内旅游者空间行为模式研究[J].地理科学(1):10-18.
[15] 马晓龙,2005.基于游客行为的旅游线路组织研究[J].地理与地理信息科学(2):98-101.
[16] 穆成林,陆林,黄剑锋,等,2015.高铁网络下的长三角旅游交通格局及联系研究[J].经济地理(12):193-202.
[17] 秦静,李郎平,唐鸣镝,等,2018.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(8):1556-1570.
[18] 史春云,2013.旅行模式对目的地旅游经济影响的空间差异——以长三角世博旅游线路为例[J].旅游学刊(6):102-110.
[19] 史春云,张宏磊,朱明,2011.国内旅游线路模式的空间格局与特征分析[J].经济地理(11):1918-1922.
[20] 史春云,朱传耿,赵玉宗,等,2010.国外旅游线路空间模式研究进展[J].人文地理(4):31-35.
[21] 孙勇,史春云,唐雯雯,等,2016.云南省旅游线路网络与空间结构特征[J].人文地理(1):147-153.
[22] 吴必虎,1994.上海城市游憩者流动行为研究[J].地理学报(2):117-127.
[23] 宣国富,陆林,汪德根,等,2004.三亚市旅游客流空间特性研究[J].地理研究(1):115-124.
[24] 杨宏浩,2021.“双循环”格局下的住宿业高质量发展[J].旅游学刊(1):9-11.
[25] 殷杰,郑向敏,李实,2019.合作态势与权力角色:“一带一路”沿线国家旅游合作网络解构[J].经济地理(7):216-224.
[26] 张子昂,黄震方,曹芳东,等,2016.浙江省县域入境旅游时空跃迁特征及驱动机制[J].地理研究(6):1177-1192.
[27] 周尚意,2003.行为地理与城市旅游线路设计——以苏州一日游线路设计为例[J].旅游学刊 (12):23-25.
[28] 朱明,史春云,袁欣,等,2010.基于旅行社线路的国内旅行空间模式研究[J].旅游学刊 (9):32-37.
[29] ASERO V,GOZZO S,TOMASELLI V,2016.Building tourism networks through tourist mobility[J].Journal of travel research,55(6):751-763.
[30] BALLI F,BALLI H O,LOUIS R J,2016.The impacts of immigrants and institutions on bilateral tourism flows[J].Tourism management,52(2):221-229.
[31] CEHAN A,EVA M,IATU C,2021.A multilayer network approach to tourism collaboration[J].Journal of hospitality and tourism management,46(3):316-326.
[32] CONNELL J,PAGE S J,2008.Exploring the spatial patterns of car-based tourist travel in Loch Lomond and Trossachs National Park,Scotland[J].Tourism management,29(3):561-580.
[33] DREDGE D,1999.Destination place planning and design[J].Annals of tourism research,26(4):772-791.
[34] LEE S H,CHOI J Y,YOO S H,et al.,2013.Evaluating spatial centrality for integrated tourism management in rural areas using GIS and network analysis[J].Tourism management,34(2):14-24.
[35] LEW A A,MCKERCHER B,2006.Modeling tourist movements:a local destination analysis[J].Annals of tourism research,33(2):403-423.
[36] LUE C,CROMPTON J L,FESENMAIER D R,1993.Conceptualization of multi-destination pleasure trips[J].Annals of tourism research,20(2):289-301.
[37] OPPERMANN M,1995.A model of travel itineraries[J].Journal of travel research,33(4):57-61.
[38] PAVLOVICH K,2014.A rhizomic approach to tourism destination evolution and transformation[J].Tourism management,41(4):1-8.
[39] SCOTT N,BAGGIO R,COOPER C,2008.Network analysis and tourism:from theory to practice[M].New York:Channel View Publication.
[40] STEWART S I,VOGT C A,1997.Multi-destination trip patterns[J].Annals of tourism research,24(2):458-461.

Spatio-Temporal Evolution Characteristics and Influencing Factors of Domestic Travel Itinerary Network in the Yangtze River Delta

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