中国城市旅游舒适性的空间分异、障碍瞄准及影响因素  被引量:2

Spatial differentiation,obstacle focus,and influencing factors of tourism amenity in Chinese cities

在线阅读下载全文

作  者:郑伯铭 严小燕 刘宏芳 陈静 刘安乐[5] 祁新华 ZHENG Boming;YAN Xiaoyan;LIU Hongfang;CHEN Jing;LIU Anle;QI Xinhua(Institute of Geography,Fujian Normal University,Fuzhou 350007,China;School of Geographical Sciences,Fujian Normal University,Fuzhou 350007,China;School of Tourism and Leisure Management,Fujian Business School,Fuzhou 350012,China;Institute of Tourism and Cultural Industry,Yunnan University of Finance and Economics,Kunming 650221,China;School of Tourism and History and Culture,Liupanshui Normal University,Liupanshui 553004,Guizhou,China)

机构地区:[1]福建师范大学地理研究所,福州350007 [2]福建师范大学地理科学学院,福州350007 [3]福建商学院旅游与休闲管理学院,福州350012 [4]云南财经大学旅游文化产业研究院,昆明650221 [5]六盘水师范学院旅游与历史文化学院,贵州六盘水553004

出  处:《地理科学进展》2023年第7期1311-1326,共16页Progress in Geography

基  金:国家自然科学基金项目(42161038);福建省科技厅省属公益类科研专项(2020R1002006);贵州省科技计划项目(黔科合基础-ZK[2023]一般444)。

摘  要:城市旅游舒适性是城市舒适性的拓展性外延与创新性视角,亦是衡量城市旅游高质量发展、市场竞争力以及可持续发展水平的关键指标。论文从旅游者的旅游需求出发,构建由气候适宜、环境优美、要素完备、资源丰富以及社会氛围五大维度组成的城市旅游舒适性评价指标体系,并综合使用熵权法、综合线性加权法、莫兰指数、热点分析以及多元线性回归等方法探究2019年中国城市旅游舒适性的空间分异、障碍维度与影响因素。研究发现:①中国城市旅游舒适性两极化现象显著,旅游舒适性较高的城市多为省会城市和传统旅游名城,“旅游双城”现象显著。②中国城市旅游舒适性呈现“东高西低”的梯度性空间分布特征,在长三角、京津冀、环渤海以及成渝经济圈范围内形成热点集聚。③通过瞄准各城市较低与低等级障碍维度,得到25个障碍维度组合,其中二维及三维障碍的城市数量占比最大(69.59%),且分别有254和209个城市存在要素与资源维度障碍,说明中国城市旅游舒适性普遍受这两大维度的制约。④整体上,中国城市旅游舒适性的空间分异主要受供给和地理环境变量影响,其中供给变量的影响最大;分维度上,气候适宜主要受地理环境的影响,环境优美受供给和需求的双重影响,要素完备主要受供给因子影响,资源丰富和社会氛围受供给和地理环境的双重影响。研究进一步拓展和丰富了城市舒适性研究体系的外延与视角,可为瞄准和优化城市旅游舒适性障碍维度提供科学借鉴。Urban tourism amenity is not only an extension and innovative perspective of urban amenity,but also a key indicator to measure the high-quality development,market competitiveness and sustainable development level of urban tourism.This study constructed a urban tourism amenity evaluation indicator system consisting of five dimensions:suitable climate,beautiful environment,complete elements,rich resources,and social atmosphere,based on the tourism demand of tourists.The entropy weighting method,integrated linear weighting method,Moran index,hotspot analysis,and multiple linear regression were used to explore the spatial differentiation,obstacle dimensions,and influencing factors of tourism amenity in Chinese cities in 2019.The research found that:1)The polarization of urban tourism amenity level in China is significant.Most cities with higher tourism amenity are provincial capitals and famous traditional tourism cities,and the phenomenon of"tourism twin cities"is significant.2)The urban tourism amenity level in China is characterized by a gradient spatial distribution,high in the east and low in the west with hotspots in the Yangtze River Delta,Beijing-Tianjin-Hebei region,Bohai Rim,and Chengdu-Chongqing economic zone.3)By focusing on the moderately low and low-level obstacle dimensions in each city,25 combinations of obstacle dimensions were obtained,with the largest number of cities having two and three-dimensional obstacles(69.59%),and 254 and 209 cities have element and resource dimension obstacles,respectively,indicating that tourism amenity in Chinese cities is generally constrained by these two dimensions.4)Overall,the spatial differentiation of tourism amenity in Chinese cities is mainly influenced by supply and geographic environment variables,with the supply variable having the greatest influence;sub-dimensionally,climate suitability is mainly influenced by geography,environmental beauty is influenced by both supply and demand,element completeness is mainly influenced by supply factors,and resource abunda

关 键 词:城市旅游舒适性 空间分异 障碍瞄准 影响因素 中国 

分 类 号:F592[经济管理—旅游管理]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象