双循环格局下中国邮轮客源市场的空间格局与分级开发

doi:10.3969/j.issn.1004-9479.2023.07.2021667

摘要/Abstract

摘要：

邮轮旅游客源市场预测作为是旅游科学决策的重要研究领域。论文引入引力模型，在邮轮旅游供需关系基础上，添加人口流动限制和邮轮航线因素对引力模型进行修正，发现2011—2019年我国邮轮客源开发的空间格局特征及规律，并运用竞争态模型对不同邮轮母港的客源市场进行分级并提出开发对策。主要发现如下：（1）国内客源市场分布从总体上呈现出明显的东部指向和近域指向特征。（2）邻近港口在客源结构上表现出一定的同质性。上海港和武汉港的客源市场结构存在一定相似性，位于环渤海地区的天津港、大连港以及青岛港在客源市场结构分布上也存在着一定的相似性。（3）三亚港的邮轮客源市场以远距离游客为主，特异性显著，与其他港口吸引力遵循的空间距离衰减规律相悖。研究内容拓展了引力模型在邮轮旅游市场研究中的应用深度，为客源市场开发以及疫后邮轮市场恢复提供了实践参考。

关键词: 邮轮旅游, 客源市场, 引力模型, 空间结构, 双循环新发展格局

Abstract:

This research paper delves into the important study field of predicting the cruise tourism market in the context of tourism science decision-making. The paper introduces the gravity model, which incorporates migration restrictions and cruise line correction factors to the supply-demand relationship of cruise tourism, to discover the spatial pattern and developmental law of China's cruise tourism market from 2011-2019. Utilizing the competitive state model, the paper proposes graded development strategies for the tourist markets of different cruise home ports. Research findings include: (1) China's domestic tourist source market presents regional differences primarily along the "Hu line", with significant eastward and near-domain oriented characteristics; (2) neighboring ports demonstrate homogeneity within their tourist source structures, such as the similarities in tourist market structure between Shanghai port and Wuhan port; (3) Sanya Port's cruise passenger source market highlights the significant specificity of long-distance tourists, contradicting the spatial distance attenuation law observed in the attraction of other ports. With the application of the gravity model, this study expands the depth of cruise tourism market research, providing a practical reference for passenger market development and post-COVID-19 cruise market recovery.

Key words: cruise tourism, source market, gravity model, spatial structure, double cycle new development pattern

孙瑞红, 周淑怡, 叶欣梁. 双循环格局下中国邮轮客源市场的空间格局与分级开发[J]. 世界地理研究, 2023, 32(7): 113-122.

Ruihong SUN, Shuyi ZHOU, Xinliang YE. Spatial pattern and hierarchical development of the cruise passenger market in China under a double-cycle pattern[J]. World Regional Studies, 2023, 32(7): 113-122.

图/表 3

图1 全国邮轮旅游客源市场分布注：此图基于自然资源部标准地图网站上下载审图号为GS（2019）1823的标准地图而制作，底图无修改。以下地图同。

Fig.1 Distribution of national cruise tourist source market

图2 全国邮轮旅游客源市场划分

Fig.2 Segmentation of national cruise tourism source markets

图3 邮轮旅游客源市场

Fig.3 Cruise tourism source market

参考文献 31

1	SUN X, JIAO Y, TIAN P. Marketing research and revenue optimization for the cruise industry: A concise review. International Journal of Hospitality Management. 2011, 30(3): 746-755.
2	SUN X, XU M, LAU Y, et al. Cruisers' satisfaction with shore experience: An empirical study on a China-Japan itinerary. Ocean & Coastal Management. 2019, 181: 104867.
3	孙晓东,冯学钢.中国邮轮旅游产业:研究现状与展望.旅游学刊,2012,27(2):101-112.
	SUN X, FENG X. Cruise tourism industry in China: Present situation of studies and prospect. Tourism Tribune, 2012,27(2): 101-112.
4	汪泓,叶欣梁,史健勇,等.中国邮轮产业发展报告(2020).北京:社会科学文献出版社,2020.
	WANG H, YE X, SHI Y, et al. China Cruise Industry Development Report(2020).Beijing: Social Science Academic Press, 2020.
5	孙晓东,徐美华,侯雅婷.中国邮轮游客的出游限制与行为意向研究.旅游科学,2019,33(4):70-84.
	SUN X, XU M, HOU Y. A study on Chinese cruisers' travel constraints and behavioral intentions. Tourism Science,2019,33(4): 70-84.
6	孙晓东.中国邮轮旅游业:新常态与新趋势.旅游学刊,2015,30(1):10-12.
	SUN X. Cruise tourism in China: The new normal and new trends.Tourism Tribune,2015,30(1): 10-12.
7	曾庆成,向惠,曲晨蕊.邮轮供应链销售渠道选择与定价策略研究.运筹与管理,2021,30(5):140-146.
	ZENG Q, XIANG H, QU C. Research on sales channel selection and pricing strategy of cruise supply chain. Operations Research and Management Science,2021,30(5): 140-146.
8	何宝新.严伟:新发展格局下,加快打造我国邮轮业"四个链".中国港口,2021, 348(6),33-36.
	HE B. YAN W. Accelerating the establishment of "four chains" of China's cruise industry under the new development pattern. China Ports,2021, 348(6): 33-36.
9	李富有,王少辉.新冠疫情、疫苗突破与经济复苏的逻辑与建议.新疆社会科学(汉文版),2021,232(3):39-47.
	LI F, WANG S. Logic and suggestions for COVID-19, vaccine breakthrough and economic recovery. Social Sciences in Xinjiang,2021,232(3): 39-47.
10	魏遐,吴必虎.峰值期国内旅游市场供需关系研究——以1999年国庆假日旅游潮为例.人文地理,2000(6):29-33.
	WEI X, WU B. A study on the relationship between supply and demand of domestic tourism market in peak period -- A case study of 1999 national day holiday tourism wave. Human Geography,2000(6): 29-33.
11	闾平贵, 汪德根,魏向东."时空压缩"与客源市场空间结构演变——以江苏国际旅游客源市场为例.经济地理,2009,29(3):504-509.
	LV P, WANG D, WEI X. "Time space reduction" And the structural evolvement of tourist market--A case of Jiangsu abroad tourist origins". Economic Geography,2009,29(3): 504-509.
12	刘少湃,田纪鹏,陆林.上海迪士尼在建景区客源市场空间结构预测——旅游引力模型的修正及应用.地理学报,2016,71(2):304-321.
	LIU S, TIAN J, LU L.A case study of Shanghai Disneyland on spatial structure forecast for proposed scenic spot market:Modification and its application of gravity model. Acta Geographica Sinica,2016,71(2): 304-321.
13	尹贻梅,陆玉麒,邓祖涛.国内旅游空间结构研究述评.旅游科学,2004(4):49-54.
	YIN Y, LU Y, DENG Z. A review of researchers on tourism spatial structure in China. Tourism Science, 2004(4):49-54.
14	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——以九寨沟及比较风景区为例.地理学报,1999(4):71-78.
	ZHANG J, DU J, ZHOU Y, et al. Spatial structure of tourist source areas for the naturally scenic sightseeing places: A case study of Jiuzhaigou. Acta Geographica Sinica,1999(4): 71-78.
15	黄和平,钟伟,姜红,等.我国省际客源市场潜力的时空分布与开发策略研究 .世界地理研究,2018,27(6):168-176.
	HUANG H, ZHONG W, JIANG H, et al. Spatio-temporal distribution of China's inter-provincial tourist market potential. World Regional Studies,2018,27(6): 168-176.
16	CASTILLO-MANZANO J, FAGEDA X, GONZALEZ-LAXE F. An analysis of the determinants of cruise traffic: An empirical application to the Spanish port system. Transportation Research Part E: Logistics and Transportation Review. 2014, 66: 115-125.
17	孙晓东,林冰洁.谁主沉浮?全球邮轮航线网络结构及区域差异研究.旅游学刊,2020,35(11):115-128.
	SUN X, LIN B. Who is the leader? Network structure and regional differentiation of global cruise lines. Tourism Tribune,2020,35(11): 115-128.
18	孙晓东,倪荣鑫.国际邮轮港口岸上产品配备与资源配置——基于产品类型的实证分析.旅游学刊,2018,33(7):63-78.
	SUN X, NI R. Shore excursions, activities and relevant resource allocations of international cruise ports. Tourism Tribune,2018,33(7): 63-78.
19	钟士恩,张捷,任黎秀,等.基于社会经济属性的中国省际出游力研究——兼对中国与世界已研究国家案例比较.经济地理,2009,29(1):153-159.
	ZHONG S, ZHANG J, REN L, et al. A Study of the provincial emissiveness in China based on the socio-economic properties--With contrast between China and other countries. Economic Geography,2009,29(1): 153-159.
20	WANG S, HSU M, SCHEINBAUM A, et al. Brand loyalty in the cruise sector: Age cohorts, gender, and travel attributes as key moderators for relationship marketing theory. Journal of Marine Science and Technology,2018,26(6):764-776.
21	孙晓东,倪荣鑫.中国邮轮游客的产品认知、情感表达与品牌形象感知——基于在线点评的内容分析.地理研究,2018,37(6):1159-1180.
	SUN X, NI R. Chinese cruisers' product cognition, emotional expression and brand image perception: A web content analysis. Geographical Research,2018,37(6): 1159-1180.
22	孙晓东,徐美华. 邮轮属性评价与品牌定位——基于专业型游客的感知研究 .地理科学进展,2020,40(10):1688-1697.
	SUN X, XU M. Cruise arrtibute evaluation and brand positioning: An empirical study on professional cruisers. Progress in Geography,2020,40(10): 1688-1697.
23	SUN X, XU M, KWORTNIK R. Evaluating and categorizing cruise lines by ship attributes: A comparison between cruisers and experts. Tourism Management. 2021, 84:104262.
24	叶欣梁,孙瑞红.基于顾客需求的上海邮轮旅游市场开发研究 .华东经济管理,2007,21(3):110-115.
	YE X, SUN R. Research on cruise industry of tourism in Shanghai based on customer demand. East China Economic Managemnet,2007,21(3): 110-115.
25	贾鹏,刘瑞菊,孙瑞萍,等.基于BP神经网络的邮轮旅游需求预测.科研管理,2013(6):77-83.
	JIA P, LIU R, SUN R, et al. A prediction model for cruise tourism demand based on BP neural network. Science Research Management,2013(6): 77-83.
26	XIE G, QIAN Y, WANG S. Forecasting Chinese cruise tourism demand with big data: An optimized machine learning approach. Tourism Management, 2021, 82: 104208.
27	李涛,陶卓民.基于引力模型的城市旅游客源市场分析研究——以济南为例.南京师范大学学报(自然科学版),2014,37(3):137-141.
	LI T, TAO Z. Study on tourist market analysis of urban tourism based on the gravity model---A case of Ji'nan. Journal of Nanjing Normal University (Natural Science Edition),2014,37(3): 137-141.
28	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.地域研究与开发,2011,30(3):93-97.
	LONG M, SUN G, MA L, et al.An analysis on the variation between the degree of consumer attention of travel network and tourist flow in regional tourism: A case of sichuan province.Areal Research and Development,2011,30(3): 93-97.
29	汪秋菊,黄明,刘宇.城市旅游客流量——网络关注度空间分布特征与耦合分析 .地理与地理信息科学,2015,31(5):102-106.
	WANG Q, HUANG M, LIU Y. Research on spatial feature and coupling correlation between urban tourist flow and network attention. Geography and Geo-information Science,2015,31(5): 102-106.
30	李振福,鲍琦,彭琰,等.中国邮轮始发港消费腹地的断电模型划分 .大连海事大学学报,2021,47(1):72-82.
	LI Z, BAO Q, PENG Y, et al. Power off model of consumption hinterland division in China's cruise departure port. Journal of Dalian Maritime University,2021,47(1): 72-82.
31	曹晶晶,章锦河,王昶,等.距离欲对旅游者目的地选择影响的解释框架 .地理学报,2020,75(4):860-877.
	CAO J, ZHANG J, WANG C, et al. Exploring the essence of distance: A framework of distance desire and tourist destination choice. Acta Geographica Sinica,2020,75(4): 860-877.

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