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“千年运河”品牌基因谱系识别与空间分异研究
引用本文:邹统钎,韩全,秦静.“千年运河”品牌基因谱系识别与空间分异研究[J].地理研究,2022,41(3):713-730.
作者姓名:邹统钎  韩全  秦静
作者单位:1.北京第二外国语学院旅游科学学院, 北京 1000242.北京第二外国语学院中国文化和旅游产业研究院, 北京 100024
基金项目:国家社科基金艺术学重大项目(20ZD02);;国家自然科学基金青年项目(41801168);国家自然科学基金面上项目(71673015);;国家社会科学基金重大项目(20ZDA067);
摘    要:“千年运河”品牌基因是“千年运河”国家文化旅游品牌塑造和发展的灵魂。本文以中国大运河沿线35个地级及以上城市为研究对象,运用共词分析法,从与大运河相关的网络游记中识别和提取“千年运河”品牌基因谱系。并运用基于机器学习的地理分区方法,进一步分析了“千年运河”品牌基因的空间分异特征。研究结果: ① 构建了由2个基因类别、4个基因维度和14个基因子维度组成的“千年运河”品牌基因识别框架。② 运河核心基因和运河衍生基因主要分布在京杭大运河沿线,隋唐大运河尤其是卫河河段沿线城市的边缘关联基因分布较多。③ 根据“千年运河”品牌基因的分布特征,可将运河沿线城市划分为6类地理区域,每类地理分区中的主导基因、功能定位不同。研究结果为“千年运河”国家文旅品牌塑造与发展提供参考,也为大运河文化遗产完整性保护与传承提供了新的切入点。

关 键 词:大运河  品牌基因  空间分布  地理分区  
收稿时间:2021-04-15

Pedigree identification and spatial differentiation of the"Millennium Canal"brand genes
ZOU Tongqian,HAN Quan,QIN Jing.Pedigree identification and spatial differentiation of the"Millennium Canal"brand genes[J].Geographical Research,2022,41(3):713-730.
Authors:ZOU Tongqian  HAN Quan  QIN Jing
Institution:1. School of Tourism Sciences, Beijing International Studies University, Beijing 100024, China2. China Academy of Culture and Tourism, Beijing International Studies University, Beijing 100024, China
Abstract:In February 2019, the General Office of the CPC Central Committee and the General Office of the State Council issued the Planning Outline for the Protection, Inheritance and Utilization of the Grand Canal Culture. The Outline proposes to build the cultural tourism brand of the "Millennium Canal" and promote the national image of China. However, the brand positioning lacks diverse and divergent perspectives and the core theme of the brand is not prominent. The existing research mainly focuses on the overall brand of the Canal and a brand of a canal city but lacks attention to the regional brand of the Canal. The "Millennium Canal" brand genes are the soul of the national cultural tourism branding and development of the "Millennium Canal". This paper identifies and extracts the "Millennium Canal" brand genes from the online travelogues related to the Grand Canal by using the co-word analysis method in 35 cities at the prefecture-level and above along the Grand Canal. The geographic regionalization based on machine learning was also applied to further analyze the spatial differentiation of the "Millennium Canal" brand genes. The results show that: (1) A gene identification framework for the "Millennium Canal" brand is constructed, which consists of 2 gene categories, 4 gene dimensions, and 14 gene sub-dimensions. (2) The canal core genes and canal-derived genes are mainly distributed along the Beijing-Hangzhou Grand Canal, and there are more canal-associated genes distributed in cities along the Sui-Tang Grand Canal, especially along the Weihe River section. (3) According to the distribution characteristics of the brand genes of the "Millennium Canal", the cities along the canal can be divided into six types of geographical areas, each with different dominant genes and functional positioning. The Grand Canal brand genes, which have been accumulated from thousands of years of history and multiple cultures, are the soul of the building and development of the "Millennium Canal" national cultural tourism brand. The "Millennium Canal" branding relying on the brand genes has positive significance for the integrity preservation of the Grand Canal heritage, the deep integration of culture and tourism industries, and the economic and social development of the regions along the Grand Canal.
Keywords:Grand Canal  brand gene  spatial pattern  geographical regionalization  
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