新冠疫情影响下宁夏旅游流网络结构演化研究

doi:10.12118/j.issn.1000－6060.2022.188

Abstract

Abstract:

Exploring the structural evolution characteristics of tourism flow networks under the influence of COVID-19 is helpful in discovering new tourism routes and identifying new requirements of the tourism market. On the basis of network travel notes, from the perspective of the COVID-19 effect on tourism flow, a social network analysis method was used to examine the evolution of the tourism flow network structure in Ningxia Hui Autonomous Region, China before and after the onset of COVID-19. The following results are obtained: After COVID-19, new tourism nodes and routes have improved the unbalanced distribution of the tourism flow network nodes in Ningxia; COVID-19 has increased the possibility of tourists from marginal tourism nodes to other tourism nodes, and changed the aggregation and diffusion effect of tourism flow network nodes in marginal areas; COVID-19 has greatly changed the location of religious places and core performing arts tourism nodes in the network structure, and even disappeared from the entire tourism flow network structure. However, most of the core tourism nodes exhibit strong competitive advantage before and after the onset of COVID-19.

Key words: COVID-19, tourism flow, network structure, network travel notes, Ningxia

REN Haoke, WEI Wei, WANG Kehui. Structural evolution of tourism flow network in Ningxia under the influence of COVID-19[J].Arid Land Geography, 2023, 46(2): 316-324.

Figures/Tables 6

Fig. 1

Tab. 1

Tab. 2

Tab. 3

Tab. 4

Fig. 2

References 26

[1]	孙根年, 甘晓蕊. 后疫情时代中国典型省区旅游业恢复及预测——以琼、鄂、沪、京四地交通客运月数据为例[J]. 陕西师范大学学报(自然科学版), 2021, 49(6): 9-20.
	[Sun Gennian, Gan Xiao-rui. Recovery and forecast of tourism in typical provinces of China in the post-epidemic era: Taking the monthly traffic volume data of Hainan, Hubei, Shanghai and Beijing as an example[J]. Journal of Shaanxi Normal University (Natural Science Edition), 2021, 49(6): 9-20.]
[2]	冯晓华, 黄震方. 疫情常态化防控下游客旅游行为意向研究[J]. 干旱区资源与环境, 2021, 35(4): 203-208.
	[Feng Xiaohua, Huang Zhenfang. Research on tourism behavior intention of tourists under the normal epidemic prevention and control[J]. Journal of Arid Land Resources and Environment, 2021, 35(4): 203-208.]
[3]	田里, 马玉. 常态化防控下的旅游业发展挑战与机遇[J]. 社会科学家, 2021(12): 60-64.
	[Tian Li, Ma Yu. Tourism development challenges and opportunities under normalized prevention and control[J]. Social Scientist, 2021(12): 60-64.]
[4]	王淑华, 董引引. 基于旅游数字足迹的河南省旅游流网络结构特征研究[J]. 西北师范大学学报(自然科学版), 2021, 57(3): 96-103.
	[Wang Shuhua, Dong Yinyin. The structural characteristics of tourism flow network in Henan Province based on tourism digital footprint[J]. Journal of Northwest Normal University (Natural Science Edition), 2021, 57(3): 96-103.]
[5]	闫闪闪, 靳诚. 基于多源数据的市域旅游流空间网络结构特征——以洛阳市为例[J]. 经济地理, 2019, 39(8): 231-240.
	[Yan Shanshan, Jin Cheng. Spatial network structure of the city-level tourist flow based on multisource data: A case study of Luoyang[J]. Economic Geography, 2019, 39(8): 231-240.]
[6]	赵明煜, 刘建国. 北京市旅游流网络特征及影响研究[J]. 城市发展研究, 2020, 27(9): 13-18.
	[Zhao Mingyu, Liu Jianguo. Research on the characteristics and influence of Beijing tourism flow network[J]. Urban Development Studies, 2020, 27(9): 13-18.]
[7]	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 spatiotemoral distribution characters of tourism flow in Luoyang[J]. Economic Geography, 2017, 37(8): 216-224.]
[8]	蒋依依, 刘焱序, 王宁, 等. 2004—2019年全球旅游流网络中心度时空演变[J]. 地理研究, 2022, 41(3): 698-712. doi: 10.11821/dlyj020210106
	[Jiang Yiyi, Liu Yanxu, Wang Ning, et al. The spatial dynamics of global inbound tourism network centrality during 2004—2019[J]. Geographical Research, 2022, 41(3): 698-712.] doi: 10.11821/dlyj020210106
[9]	侯贺平, 王靓, 任婉倩, 等. 基于数字足迹的河南省A级景区旅游流网络特征研究[J]. 地域研究与开发, 2022, 41(1): 91-97.
	[Hou Heping, Wang Liang, Ren Wanqian, et al. Research on characteristics of tourism flow networks of A-level scenic spots in Henan Province based on digital footprint[J]. Areal Research and Development, 2022, 41(1): 91-97.]
[10]	王娟, 孟凤娇, 封洁洁. 基于用户生成内容的成渝城市群旅游客流网络结构演化及机理研究[J]. 地域研究与开发, 2022, 41(1): 85-90.
	[Wang Juan, Meng Fengjiao, Feng Jiejie. User generated content based tourist flow network structure evolution and mechanism in Chengdu-Chongqing urban agglomeration[J]. Areal Research and Development, 2022, 41(1): 85-90.]
[11]	Balli F, Balli H O, Cebeci K. Impacts of exported Turkish soap operas and visa-free entry on inbound tourism to Turkey[J]. Tourism Management, 2013, 37(3): 186-192. doi: 10.1016/j.tourman.2013.01.013
[12]	Bendle L J. The structures and flows of a large tourist itinerancy network[J]. Current Issues in Tourism, 2018, 21(1): 103-122. doi: 10.1080/13683500.2015.1092948
[13]	Hwang Y H, Gretzel U, Fesenmaier D R. Multicity trip patterns[J]. Annals of Tourism Research, 2006, 33(4): 1057-1078. doi: 10.1016/j.annals.2006.04.004
[14]	魏卫, 许欣, 王晓宇. “一带一路”入境旅游时空格局与影响因素[J]. 华侨大学学报(哲学社科学版), 2021(2): 65-75.
	[Wei Wei, Xu Xin, Wang Xiaoyu. The time and space patterns and influencing factors of inbound tourism under the “One Belt One Road”[J]. Journal of Huaqiao University (Philosophy & Social Sciences Edition), 2021(2): 65-75.]
[15]	付琼鸽, 刘大均, 胡静, 等. 湖北省旅游流网络结构的特征与优化[J]. 经济地理, 2015, 35(3): 191-196.
	[Fu Qiongge, Liu Dajun, Hu Jing, et al. Network structure and optimization research on the Hubei Province tourist flow[J]. Economic Geography, 2015, 35(3): 191-196.]
[16]	程雪兰, 方叶林, 苏雪晴, 等. 中国东部沿海5大城市群旅游流网络结构空间分布特征研究[J]. 地理科学进展, 2021, 40(6): 948-957. doi: 10.18306/dlkxjz.2021.06.005
	[Cheng Xuelan, Fang Yelin, Su Xueqing, et al. Spatial distribution characteristics of network structure of tourism flow in five major urban agglomerations of coastal China[J]. Progress in Geography, 2021, 40(6): 948-957.] doi: 10.18306/dlkxjz.2021.06.005
[17]	朱安妮. 新冠肺炎疫情对湖南省生态旅游流的影响研究[D]. 长沙: 中南林业科技大学, 2021.
	[Zhu Anni. Impact of COVID-19 on Hunan’s ecotourism flow[D]. Changsha: Central South University of Forestory and Technology, 2021.]
[18]	赵磊. 疫情影响下的武陵山片区旅游流网络空间结构特征[D]. 长沙: 湖南师范大学, 2021.
	[Zhao Lei. Spatial structure of tourism flow network in Wuling Mountain under the influence of epidemic[D]. Changsha: Hunan Normal University, 2021.]
[19]	韩冬, 黄丽华. 基于旅游数字足迹的旅游流网络结构研究——以内蒙古自治区为例[J]. 干旱区资源与环境, 2018, 32(3): 192-197.
	[Han Dong, Huang Lihua. Study on the structure of tourism flow based on tourism digital footprints: A case Inner Mongolia Autonomous Region[J]. Journal of Arid Land Resources and Environment, 2018, 32(3): 192-197.]
[20]	许丽君, 汪建敏. 全域旅游视角下宁夏旅游带动战略研究[J]. 宁夏社会科学, 2017(6): 91-95.
	[Xu Lijun, Wang Jianmin. Research on Ningxia tourism driving strategy from the view of comprehensive tourism[J]. Social Sciences in Ningxia, 2017(6): 91-95.]
[21]	宋小龙, 米文宝, 李陇堂, 等. 宁夏旅游经济与生态环境系统空间错位研究[J]. 干旱区地理, 2022, 45(2): 593-605.
	[Song Xiaolong, Mi Wenbao, Li Longtang, et al. Spatial mismatch of tourism economy and ecological environment system in Ningxia[J]. Arid Land Geography, 2022, 45(2): 593-605.]
[22]	张学艳, 周小虎, 王侨. 基于社会网络分析的独角兽企业关系网络研究[J]. 领导科学, 2021(24): 64-68.
	[Zhang Xueyan, Zhou Xiaohu, Wang Qiao. Research on the unicorn enterprise relations network based on social network analysis[J]. Leadership Science, 2021(24): 64-68.]
[23]	郭雪松, 赵慧增. 突发公共卫生事件应急预案的组织间网络结构研究[J]. 暨南学报(哲学社会科学版), 2021, 43(1): 64-79.
	[Guo Xuesong, Zhao Huizeng. Interorganizational network structure of public health emergency plan[J]. Jinan Journal (Philosophy & Social Sciences Edition), 2021, 43(1): 64-79.]
[24]	张妍妍, 李君轶, 杨敏. 基于旅游数字足迹的西安旅游流网络结构研究[J]. 人文地理, 2014, 29(4): 111-118.
	[Zhang Yanyan, Li Junyi, Yang Min. The tourism flow network structure of Xi’an based on tourism digital footprint[J]. Human Geography, 2014, 29(4): 111-118.]
[25]	周李, 吴殿廷, 虞虎, 等. 基于网络游记的城市旅游流网络结构演化研究——以北京市为例[J]. 地理科学, 2020, 40(2): 298-307. doi: 10.13249/j.cnki.sgs.2020.02.015
	[Zhou Li, Wu Dianting, Yu Hu, et al. Evolution of urban tourism flow network structure based on network travel notes: A case study of Beijing City[J]. Scientia Geographica Sinica, 2020, 40(2): 298-307.] doi: 10.13249/j.cnki.sgs.2020.02.015
[26]	王朝辉, 汤陈松, 乔浩浩, 等. 基于数字足迹的乡村旅游流空间结构特征——以浙江省湖州市为例[J]. 经济地理, 2020, 40(3): 225-233.
	[Wang Chaohui, Tang Chensong, Qiao Haohao, et al. Spatial structure characteristics of rural tourism flow based on digital footprint: Taking Huzhou City in Zhejiang Province for example[J]. Economic Geography, 2020, 40(3): 225-233.]

旅游节点	程度中心性		接近中心性		中介中心性	结构洞
旅游节点	外向	内向	外向	内向	中介中心性	效能	效率	约束性
镇北堡西部影城	23.000	19.000	70.909	63.934	188.181	17.452	0.671	0.156
沙坡头	23.000	25.000	70.909	73.585	466.167	21.521	0.717	0.132
西夏陵	17.000	18.000	62.903	62.903	82.736	13.300	0.605	0.191
贺兰山岩画	18.000	12.000	65.000	57.353	65.316	10.717	0.564	0.216
水洞沟	13.000	19.000	59.091	63.934	88.725	12.266	0.584	0.195
沙湖	13.000	20.000	59.091	65.000	70.546	13.227	0.601	0.187
怀远夜市	7.000	19.000	48.750	63.934	105.985	16.404	0.683	0.164
南关清真寺	16.000	15.000	61.905	60.000	58.376	9.177	0.510	0.215
宁夏博物馆	15.000	12.000	60.938	49.367	45.415	10.611	0.531	0.208
沙坡头盛典	1.000	7.000	41.935	51.316	0.000	3.250	0.464	0.544
北长滩	7.000	9.000	45.349	54.167	18.587	3.719	0.413	0.408
黄河宿集	8.000	8.000	45.349	47.561	1.198	2.219	0.247	0.403
志辉源石酒庄	3.000	3.000	44.828	41.053	2.225	2.083	0.521	0.750
张裕摩塞尔十五世酒庄	10.000	7.000	52.000	44.828	12.712	4.588	0.459	0.353
66号公路	11.000	7.000	48.750	46.429	8.081	4.389	0.399	0.355
方差	28.674	31.274	76.589	65.825	6102.728	-	-	-

旅游节点	程度中心性		接近中心性		中介中心性	结构洞
旅游节点	外向	内向	外向	内向	中介中心性	效能	效率	约束性
镇北堡西部影城	29.000	20.000	76.364	64.615	373.253	24.204	0.756	0.129
沙坡头	18.000	21.000	60.870	66.667	366.739	17.564	0.703	0.158
西夏陵	18.000	19.000	60.870	63.636	139.305	15.216	0.662	0.172
贺兰山岩画	15.000	9.000	58.333	55.263	76.715	11.104	0.617	0.232
水洞沟	17.000	17.000	59.155	61.765	152.340	15.632	0.680	0.174
沙湖	13.000	21.000	56.757	65.625	176.004	18.559	0.714	0.161
怀远夜市	10.000	18.000	44.211	54.545	52.717	13.857	0.693	0.195
宁夏博物馆	14.000	9.000	56.000	48.276	36.017	11.543	0.608	0.215
黄河军事文化博览园	14.000	8.000	56.757	53.846	32.115	9.727	0.572	0.237
贺兰山漫葡小镇	6.000	14.000	48.276	59.155	25.017	8.325	0.520	0.251
北长滩	9.000	8.000	44.681	50.000	9.779	3.471	0.347	0.381
黄河宿集	7.000	10.000	42.424	53.165	13.785	3.853	0.385	0.382
志辉源石酒庄	7.000	6.000	50.602	46.154	34.735	5.615	0.562	0.363
张裕摩塞尔十五世酒庄	11.000	6.000	53.846	45.161	7.907	6.029	0.502	0.314
66号公路	8.000	9.000	42.857	45.161	6.953	3.324	0.369	0.400
方差	29.178	25.271	59.872	62.035	6828.656	-	-	-

年份	网络密度		理论联结数	实际联结数
2019	0.2301	1560	359
2021	0.2071	1806	374

年份		核心区	边缘区
2019		镇北堡西部影城、沙坡头、西夏陵、贺兰山岩画、水洞沟、沙湖、怀远夜市、南关清真寺、宁夏博物馆、中卫高庙、中华回乡文化园、鼓楼、南门广场、沙坡头盛典	金沙海、青铜峡黄河楼、览山公园、西夏风情园、火石寨国家地质公园、玉皇阁、北长滩、鸣翠湖湿地公园、黄河宫、黄沙古渡、青铜峡黄河大峡谷、金沙岛、须弥山石窟、承天寺塔、六盘山红军长征景区、六盘山国家森林公园、贺兰山国家森林公园、黄河宿集、志辉源石酒庄、海宝塔、中国枸杞馆、中山公园、中阿之轴、张裕摩塞尔十五世酒庄、66号公路、中卫寺口子
	核心区	0.731	0.225
	边缘区	0.239	0.117
2021		镇北堡西部影城、沙坡头、西夏陵、贺兰山岩画、水洞沟、沙湖、怀远夜市、宁夏博物馆、中卫高庙、览山公园、黄河军事文化博览园、鼓楼、南门广场、玉皇阁、青铜峡黄河大峡谷、贺兰山漫葡小镇	金沙海、青铜峡黄河楼、西夏风情园、火石寨国家地质公园、北长滩、鸣翠湖湿地公园、黄沙古渡、金沙岛、须弥山石窟、承天寺塔、六盘山红军长征景区、六盘山国家森林公园、贺兰山国家森林公园、黄河宿集、志辉源石酒庄、海宝塔、中国枸杞馆、中山公园、张裕摩塞尔十五世酒庄、66号公路、中卫寺口子、稻渔空间、银川当代美术馆、闽宁镇、固原博物馆、大武口北武当生态旅游区、五七干校
	核心区	0.533	0.220
	边缘区	0.183	0.103

Structural evolution of tourism flow network in Ningxia under the influence of COVID-19

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 6

References 26

Related Articles 15

Metrics

Comments

Recommended 0

[1]	DONG Li, WANG Manwang, DONG Mei. Sustainable development capability of Ningxia ecological migration area based on ecological footprint method [J]. Arid Land Geography, 2023, 46(6): 1004-1012.
[2]	BAI Yang, WU Jian, DOU Kailong, LU Wen, TAN Li’na, Halidan BAKE. Network structure and symbiotic development of tourism economy in Xinjiang Production and Construction Corps and local government [J]. Arid Land Geography, 2023, 46(12): 2086-2097.
[3]	JIA Keli,LI Xiaoyu,WEI Huimin,LIU Ruiliang,LI Haoyu,YANG Siyu. Spatial differentiation and risk of land use carbon emissions in county region of Ningxia [J]. Arid Land Geography, 2023, 46(11): 1757-1767.
[4]	DONG Chunyuan, HUANG Haitao, QIAO Rongrong, LUO Lihui, CHANG Xueli. Spatiotemporal variations and scale dependence of landscape diversity in oasis along the Yellow River in Ningxia [J]. Arid Land Geography, 2023, 46(1): 76-85.
[5]	GAO Yang,HAN Lei,LIU Lili,WANG Nana,PENG Ling,ZHOU Peng,ZHAN Xiuli. Differences in water use strategies of Caragana korshinskii at different slopes in the east sandy land of the Yellow River in Ningxia [J]. Arid Land Geography, 2022, 45(4): 1212-1223.
[6]	LI Su,LIU Haonan. Spatio-temporal pattern evolution of coupling coordination between urbanization and ecological resilience in arid region: A case of Ningxia Hui Autonomous Region [J]. Arid Land Geography, 2022, 45(4): 1281-1290.
[7]	ZHAO Zhixin,HUO Aidi,ZHANG Dan,YI Xiu,CHEN Siming,CHEN Sibin,CHEN Jian. Assessing heat wave risk in Ningxia segment based on remote sensing [J]. Arid Land Geography, 2022, 45(2): 512-521.
[8]	SONG Xiaolong,MI Wenbao,LI Longtang,SONG Yongyong,ZHAO Ya’nan,YU Guoliang. Spatial mismatch of tourism economy and ecological environment system in Ningxia [J]. Arid Land Geography, 2022, 45(2): 593-605.
[9]	YE Shanshan,CAO Mingming,HU Sheng. Evolution of economic connection network structure in the Guanzhong Plain City Cluster and its impact on economic growth [J]. Arid Land Geography, 2022, 45(1): 277-286.
[10]	LI Jin,WEN Qi,YANG Xiao. Rural revitalization path based on the resources and environment carrying capacity in arid area: A case of Ningxia Hui Autonomous Region [J]. Arid Land Geography, 2022, 45(1): 287-297.
[11]	LI Jinyan,GUO Jiao,CUI Lanbo,DOU Miao. Evaluation on the effect of water resources allocation in the water receiving area of the central and southern Ningxia water transfer project [J]. Arid Land Geography, 2021, 44(6): 1601-1611.
[12]	GAO Yuxiang,DONG Xiaofeng,LIANG Ying. Spatial features of road networks in Ningxia based on GIS [J]. Arid Land Geography, 2021, 44(1): 268-276.
[13]	MIAO Hong, JIA Fei, GENG Yi-rui, KONG Yun-xiao, DENG Hui-li. Vulnerability analysis of man-land coupling system in Ningxia ecological resettlement area [J]. Arid Land Geography, 2020, 43(3): 796-806.
[14]	GUAN Jing-de, WANG Yong-qing, SUN Yin-chuan, WANG Su-yan. Suitable period and change of tourism climate in Ningxia in the past 39 years [J]. Arid Land Geography, 2020, 43(2): 339-348.
[15]	ZHOU Jun-jun, YANG Mei-ling, FAN Xin-gang, XIAO Cheng-quan, JIA Hong-Li. Farmers’ willingness to participate in ecological compensation based on structural equation model:A case of Yanchi County in Ningxia [J]. Arid Land Geography, 2019, 42(5): 1185-1194.