中国夜间文旅消费集聚区空间格局及影响机理

doi:10.12118/j.issn.1000-6060.2023.183

摘要/Abstract

摘要：

夜间文旅消费集聚区是推进文旅融合高质量发展的典型示范，对引领文旅产业发展、释放夜间消费潜力具有重要意义。采用GIS空间分析、地理探测器等方法探究中国夜间文旅消费集聚区空间格局及影响机理。结果表明：（1）夜间文旅消费集聚区呈现“东密西疏、南多北少”的集聚型分布态势，“环城、亲水、傍景”布局特征明显，“一主、两副、多微核”的空间形态显著。（2）夜间文旅消费集聚区分布的空间正相关性明显，呈现“东热西冷”圈层式递减的空间分异格局。（3）类型结构上，遗址遗迹类分布在历史文化悠久地区，风土民俗类集聚在少数民族地区，产业主题类空间分布广泛，风景名胜类分布较为均衡，文旅商综合类主要分布在经济发达地区。（4）地形、河流和气候是影响夜间文旅消费集聚区分布的基础要素，人口素质、客运能力、产业发展和政策支持是影响其分布的关键因素。

关键词: 夜间文旅消费集聚区, 空间格局, 类型结构, 影响因素, 中国

Abstract:

Night-time cultural tourism consumption agglomeration areas serve as notable models for advancing the high-quality development of cultural and tourism integration, playing a crucial role in steering the growth of the cultural and tourism industry and unleashing the latent potential of night-time consumption. This study employs GIS spatial analysis methods, alongside geographical detectors and other approaches, to investigate the spatial pattern and influencing mechanisms of night-time cultural tourism consumption agglomeration areas in China. The findings indicate the following: (1) The distribution trend of night-time cultural tourism consumption agglomeration areas exhibits clustering, characterized by a “dense in the east and sparse in the west, more in the south and less in the north” trend. The layout features are conspicuous, emphasizing proximity to the city, water, and scenic locales. The spatial structure is marked by “one main, two pairs, and multiple micronuclei”. (2) The spatial distribution of night-time cultural tourism consumption agglomeration areas demonstrates a significant positive correlation, portraying a circularly decreasing spatial differentiation pattern of “hot in the east and cold in the west”. (3) Regarding type structure, historical sites and relics are concentrated in areas with rich cultural histories, local customs and traditions thrive in ethnic minority regions, industrial-themed categories exhibit broad spatial distribution, scenic spots are relatively evenly spread, and comprehensive categories encompassing cultural, tourism, and commerce predominantly manifest in economically developed areas. (4) Fundamental factors such as topography, rivers, and climate significantly influence the distribution of night-time cultural tourism consumption agglomeration areas. Meanwhile, factors such as population quality, passenger transport capacity, industrial development, and policy support emerge as pivotal determinants affecting the distribution of night-time cultural tourism consumption agglomeration areas.

Key words: night-time cultural tourism consumption agglomeration areas, spatial pattern, type structure, influencing factors, China

唐宇, 薛东前, 宋永永, 叶昊, 王莎. 中国夜间文旅消费集聚区空间格局及影响机理[J]. 干旱区地理, 2024, 47(3): 485-495.

TANG Yu, XUE Dongqian, SONG Yongyong, YE Hao, WANG Sha. Spatial pattern and influence mechanism of night-time cultural tourism consumption agglomeration areas in China[J]. Arid Land Geography, 2024, 47(3): 485-495.

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参考文献 30

[1]	Giordano E, Ong C E. Light festivals, policy mobilities and urban tourism[J]. Tourism Geographies, 2017, 19(5): 699-716. doi: 10.1080/14616688.2017.1300936
[2]	Bristow R S, Jenkins I S. Geography of fear: Fright tourism in urban revitalization[J]. Journal of Policy Research in Tourism, Leisure and Events, 2020, 12(2): 262-275. doi: 10.1080/19407963.2019.1631319
[3]	王琳, 钟泓文, 许章华, 等. Luojia-01夜光数据和“点轴发育”理论支持下的夜间经济集聚区定量识别与分类方法[J]. 地球信息科学学报, 2022, 24(11): 2141-2152. doi: 10.12082/dqxxkx.2022.220097
	[Wang Lin, Zhong Hongwen, Xu Zhanghua, et al. Quantitative identification and classification of the nighttime economic agglomeration based on the Luojia-01 NTL data and pole-axis theory[J]. Journal of Geo-information Science, 2022, 24(11): 2141-2152.]
[4]	唐承财, 肖小月. 境内外夜间旅游研究综述与展望[J]. 人文地理, 2022, 37(3): 21-29, 98.
	[Tang Chengcai, Xiao Xiaoyue. Advances and prospects in nighttime tourism research home and abroad[J]. Human Geography, 2022, 37(3): 21-29, 98.]
[5]	莫林丽, 余佳华, 杨本俊, 等. 国家级夜间文旅消费集聚区空间分布及影响因素研究[J]. 西安文理学院学报(自然科学版), 2023, 26(2): 105-111.
	[Mo Linli, Yu Jiahua, Yang Benjun, et al. Research on the spatial distribution and influencing factors of the national-level night-time cultural and tourism consumption agglomeration[J]. Journal of Xi'an University (Natural Science Edition), 2023, 26(2): 105-111.]
[6]	骆荧荧, 李勇泉. 夜间文旅消费集聚区空间分布特征与影响因素——以福建省为例[J]. 广西职业师范学院学报, 2021, 33(2): 37-45, 63.
	[Luo Yingying, Li Yongquan. Spatial distribution characteristics and influencing factors of nighttime cultural tourism consumption agglomeration area: A case study of Fujian Province[J]. Journal of Guangxi Vocational Normal University, 2021, 33(2): 37-45, 63.]
[7]	Hsieh A T, Chang J. Shopping and tourist night markets in Taiwan[J]. Tourism Management, 2006, 27(1): 138-145. doi: 10.1016/j.tourman.2004.06.017
[8]	Aramayona B, Garca-Snchez R. Decoding middle-class protest against low-cost nocturnal tourism in Madrid[J]. Journal of Policy Research in Tourism, Leisure and Events, 2019, 11(3): 380-393. doi: 10.1080/19407963.2019.1584627
[9]	Zmyslony P, Pawlusiński R. Tourism and the night-time economy: The perspective article[J]. Tourism Review, 2020, 75(1): 194-197. doi: 10.1108/TR-05-2019-0158
[10]	Eldridge A, Smith A. Tourism and the night: Towards a broader understanding of nocturnal city destinations[J]. Journal of Policy Research in Tourism, Leisure and Events, 2019, 11(3): 371-379. doi: 10.1080/19407963.2019.1631519
[11]	Mariani M M, Giorgio L. The “pink night” festival revisited: Meta-events and the role of destination partnerships in staging event tourism[J]. Annals of Tourism Research, 2017, 62(12): 89-109. doi: 10.1016/j.annals.2016.11.003
[12]	Pinke S I, Smith M, Olt G, et al. Overtourism and the night-time economy: A case study of Budapest[J]. International Journal of Tourism Cities, 2019, 5(1): 1-16. doi: 10.1108/IJTC-04-2018-0028
[13]	顾至欣. 城市夜间旅游产品定义及分类[J]. 城市问题, 2013(11): 98-102.
	[Gu Zhixin. Concepts and types of urban night tourism product[J]. Urban Problems, 2013(11): 98-102.]
[14]	包曾婷, 徐颖. 文旅融合背景下城市夜间旅游发展模式研究[J]. 齐齐哈尔大学学报(哲学社会科学版), 2021(12): 80-83.
	[Bao Zengting, Xu Ying. Research on the model of urban night tourism development under the background of culture tourism integration[J]. Journal of Qiqihar University (Philosophy & Social Science Edition), 2021(12): 80-83.]
[15]	张凯露, 韩薇, 孙一鸣, 等. 夜间文化旅游消费的影响因素研究——基于北京地区高校的调查数据[J]. 中国市场, 2021(12): 20-22, 25.
	[Zhang Kailu, Han Wei, Sun Yiming, et al. Research on the influencing factors of nighttime cultural tourism consumption: Based on the survey data of universities in Beijing[J]. China Market, 2021(12): 20-22, 25.]
[16]	齐骥, 陆梓欣. 城市夜间旅游场景高质量发展创新路径研究[J]. 现代城市研究, 2022(10): 16-22, 31.
	[Qi Ji, Lu Zixin. Research on the innovative path of high-quality development of urban night tourism scenes[J]. Modern Urban Research, 2022(10): 16-22, 31.]
[17]	蔡金娣, 刘亚男, 杨晓霞. 基于地理标记照片的夜间游客时空行为及轨迹特征研究——以重庆中心城区为例[J]. 资源开发与市场, 2022, 38(11): 1374-1381.
	[Cai Jindi, Liu Ya’nan, Yang Xiaoxia. Spatial-temporal behavior and path trajectory characteristics of tourists at night based on geotagged photos: A case study on the central city of Chongqing[J]. Resource Development & Market, 2022, 38(11): 1374-1381.]
[18]	余构雄, 曾国军. 都市旅游体验的一个理论探索——以广州珠江夜游为例[J]. 经济管理, 2019, 41(6): 140-156.
	[Yu Gouxiong, Zeng Guojun. Study on the experience of urban water night cruise: A case study of Pearl River in Guangzhou[J]. Business and Management Journal, 2019, 41(6): 140-156.]
[19]	吴儒练, 田逢军, 李洪义, 等. 城市夜间旅游意象要素感知及其维度建构——基于UGC数据[J]. 地域研究与开发, 2022, 41(4): 113-118.
	[Wu Rulian, Tian Fengjun, Li Hongyi, et al. Perception of urban night tourism image element and its dimensional construction: Based on UGC date[J]. Areal Research and Development, 2022, 41(4): 113-118.]
[20]	傅才武, 王异凡. 场景视阈下城市夜间文旅消费空间研究——基于长沙超级文和友文化场景的透视[J]. 武汉大学学报(哲学社会科学版), 2021, 74(6): 58-70.
	[Fu Caiwu, Wang Yifan. Urban nighttime tourism consumption space from the perspective of scene: A study based on the cultural scene of super Wenheyou in Changsha[J]. Wuhan University Journal (Philosophy & Social Science), 2021, 74(6): 58-70.]
[21]	王兆峰, 刘婷. 国家级夜间文旅消费区空间格局与旅游高质量发展研究[J]. 中南林业科技大学学报(社会科学版), 2023, 17(1): 101-110.
	[Wang Zhaofeng, Liu Ting. Spatial differentiation and high-quality tourism development of national-level night culture and tourism consumption cluster areas[J]. Journal of Central South University of Forestry & Technology (Social Sciences Edition), 2023, 17(1): 101-110.]
[22]	龚胜生, 王无为, 杨林生, 等. 地理学参与健康中国建设的重点领域与行动建议[J]. 地理学报, 2022, 77(8): 1851-1872. doi: 10.11821/dlxb202208002
	[Gong Shengsheng, Wang Wuwei, Yang Linsheng, et al. The key fields and action suggestions of geography participating in the construction of healthy China[J]. Acta Geographica Sinica, 2022, 77(8): 1851-1872.] doi: 10.11821/dlxb202208002
[23]	江金波. 论文化生态学的理论发展与新构架[J]. 人文地理, 2005(4): 119-124.
	[Jiang Jinbo. Discussion on the theory framework of cultural ecology[J]. Human Geography, 2005(4): 119-124.]
[24]	薛芮, 阎景娟. 景观管理嵌入乡村旅游人地关系研究的应用框架建构[J]. 地理科学进展, 2022, 41(3): 510-520. doi: 10.18306/dlkxjz.2022.03.013
	[Xue Rui, Yan Jingjuan. A framework for incorporating landscape management into the human-environment relationship research of rural tourism[J]. Progress in Geography, 2022, 41(3): 510-520.] doi: 10.18306/dlkxjz.2022.03.013
[25]	邹建琴, 明庆忠, 刘安乐, 等. 中国红色旅游经典景点空间分布格局及其影响因素异质性[J]. 自然资源学报, 2021, 36(11): 2748-2762. doi: 10.31497/zrzyxb.20211103
	[Zou Jianqin, Ming Qingzhong, Liu Anle, et al. Spatial distribution pattern of classic red tourism scenic spots and heterogeneity of its influencing factors in China[J]. Journal of Natural Resources, 2021, 36(11): 2748-2762.] doi: 10.31497/zrzyxb.20211103
[26]	朱磊, 李燕楠, 胡静, 等. 国家森林公园空间分布格局及其影响因素研究[J]. 干旱区地理, 2022, 45(2): 389-400.
	[Zhu Lei, Li Yannan, Hu Jing, et al. Spatial differentiation pattern and influencing factors of China national forest park[J]. Arid Land Geography, 2022, 45(2): 389-400.]
[27]	王秀伟, 李晓军. 中国乡村旅游重点村的空间特征与影响因素[J]. 地理学报, 2022, 77(4): 900-917. doi: 10.11821/dlxb202204009
	[Wang Xiuwei, Li Xiaojun. Characteristics and influencing factors of the key villages of rural tourism in China[J]. Acta Geographica Sinica, 2022, 77(4): 900-917.] doi: 10.11821/dlxb202204009
[28]	王劲峰, 徐成东. 地理探测器: 原理与展望[J]. 地理学报, 2017, 72(1): 116-134. doi: 10.11821/dlxb201701010
	[Wang Jinfeng, Xu Chengdong. Geodetector: Principle and prospective[J]. Acta Geographica Sinica, 2017, 72(1): 116-134.] doi: 10.11821/dlxb201701010
[29]	丁金宏, 程晨, 张伟佳, 等. 胡焕庸线的学术思想源流与地理分界意义[J]. 地理学报, 2021, 76(6): 1317-1333. doi: 10.11821/dlxb202106001
	[Ding Jinhong, Cheng Chen, Zhang Weijia, et al. The ideological origins and geographical demarcation significance of Hu Huanyong line[J]. Acta Geographica Sinica, 2021, 76(6): 1317-1333.] doi: 10.11821/dlxb202106001
[30]	李玏, 顾朝林. 基于等级-网络分析框架的泛长江三角洲中心城市评价研究[J]. 长江流域资源与环境, 2018, 27(5): 949-959.
	[Li Le, Gu Chaolin. Research on the evaluation of Yangtze River Delta central city based on hierarchy and network[J]. Resources and Environment in the Yangtze Basin, 2018, 27(5): 949-959.]

类型	比重/%	主要分布地（比重/%）
类型	比重/%	地区1	地区2	地区3	地区4	地区5
遗址遗迹类	41.56	江苏（8.91）	浙江（7.92）	山东（7.92）	江西（6.93）	福建（5.94）
风土民俗类	9.47	贵州（13.04）	云南（13.04）	新疆（13.04）	广西（8.70）	西藏（8.70）
产业主题类	19.75	四川（10.42）	广东（8.33）	上海（8.33）	北京（6.25）	浙江（6.25）
风景名胜类	6.17	河北（20.00）	江苏（13.33）	河南（13.33）	陕西（6.67）	吉林（6.67）
文旅商综合类	23.05	北京（10.71）	上海（8.93）	广东（8.93）	湖南（7.14）	重庆（7.14）

影响因素	因子	指标	代码	q值
自然生态	地形特征	海拔高度/m	X₁	-
	河流水系	距水源距离/km	X₂	-
	气候条件	气候区划类型	X₃	-
资源禀赋	文化资源	国家级文物保护单位和非物质文化遗产数/个	X₄	0.251
资源禀赋	旅游资源	4A级及以上景区数/个	X₅	0.509^*
经济环境	经济水平	人均GDP/元	X₆	0.240
	消费需求	城镇居民人均文教娱消费支出/元·人^-1	X₇	0.476^**
	产业发展	旅游总收入/10⁸元	X₈	0.542^**
社会环境	人口规模	年末常驻人口数/10⁴人	X₉	0.465^*
	人口素质	普通高校在校学生数/10⁴人	X₁₀	0.579^**
	路网密度	通车里程除以面积/m·km^-2	X₁₁	0.478^**
	客运能力	旅客客运量/10⁴人	X₁₂	0.541^**
	照明设施	城市道路照明灯数/盏	X₁₃	0.437
	餐饮住宿	星级饭店数/个	X₁₄	0.480^**
	财政支持	文化旅游体育与传媒支出/10⁸元	X₁₅	0.525^**