中国省会航空节点城市复杂时空系统协调度变化及空间特征分析

韩瑞玲, 李宗哲, 冉心月, 郭晓阳, 杜晓辉

地理科学 ›› 2024, Vol. 44 ›› Issue (1) : 59-70.

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地理科学 ›› 2024, Vol. 44 ›› Issue (1) : 59-70. DOI: 10.13249/j.cnki.sgs.20230154

中国省会航空节点城市复杂时空系统协调度变化及空间特征分析

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Coordination degree of complex spatiotemporal systems and spatial characteristics of aviation node cities in China’s provincial capitals

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摘要

航空运输业提升了城市系统的吸引力并激发新的交通需求,引导城市经济和空间结构快速演进。本文构建了包含经济、规模、外贸、科技、社会、环境、航空等要素在内的城市复杂时空系统指标体系,对中国省会航空节点城市及其构成的7个空管区的复杂时空系统发展的协调程度变化情况及时空聚类特征、空间溢出效应进行了分析。研究发现:2001—2019年,中国31个省会(首府、直辖市)航空节点城市在复杂时空系统发展过程中呈现了或分散、或集中的趋势特征,南方城市在研究末期的协调程度表现更好。7个空管区中,华北区协调度最高,新疆区、西北区、华东区、中南区的协调度水平发展增速较快,航空系统的平均协调度最高。各航空节点城市复杂时空系统协调度的时空聚类模式存在空间分异特征与聚类特征,航空系统在空管区的聚类优势最为突出,经济系统在空管区聚类辐射范围最大。航空、规模、科技与环境系统均表现了正向直接空间溢出效应,经济与科技系统表现了正向间接空间溢出效应。通过全面分析航空节点城市及空管区的复杂时空系统协调度变化,精准判定了航空节点城市多指标系统在区域发展过程中的影响程度及时空分布异质性,对拓展航空地理研究及促进航空节点城市高质量综合发展提供理论依据。

Abstract

The air transport industry enhances cities’ attractiveness and stimulates new transportation needs, guides the rapid evolution of urban economy and spatial structure, it is an important driving force for the comprehensive development of cities. This paper expands the content of urban research, constructs a complex urban system including population, economy, society, ecology and aviation, etc., and analyzes the coordination degree, the spatiotemporal clustering characteristics and spatial spillover effects of the complex spatiotemporal system development in China’s provincial capital aviation node cities and the seven air traffic control areas composed of them. The research found that from 2001 to 2019, 31 provincial capital (and above) aviation node cities in China showed the trend of dispersion or concentration in the development of complex spatiotemporal systems, and cities in the southern China performed better in the coordination degree at the end of the study. Among the 7 air traffic control regions, North China had the highest coordination degree, Xinjiang, Northwest China, East China and Central South China had relatively faster development growth rate in coordination degree levels, and the average coordination degree of aviation system was the highest. The spatial differentiation characteristics and clustering characteristics of the spatiotemporal clustering mode of the coordination degree of each system in the 7 air traffic control areas were obvious, the agglomeration advantage of the aviation system in the air traffic control area was the most prominent, and the clustering radiation range of the economic system in the air traffic control area was the largest. Aerospace, scale, technology and environmental systems all showed positive direct spatial spillovers, while economic and technological systems showed positive indirect spatial spillovers. By comprehensively analyzing the changes of the coordination degree of complex spatiotemporal systems in aviation node cities and air traffic control areas, the influence of aviation node cities in the process of regional development and the development differences in each city are accurately determined, which provides a theoretical basis for expanding the research of aviation geography and promoting the high-quality development of aviation node cities.

关键词

航空节点城市 / 复杂时空系统 / 协调度 / 空管区聚类优势

Key words

aviation node cities / complex spatiotemporal systems / coordination degree / clustering advantage of air traffic control region

引用本文

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韩瑞玲, 李宗哲, 冉心月, 郭晓阳, 杜晓辉. 中国省会航空节点城市复杂时空系统协调度变化及空间特征分析[J]. 地理科学, 2024, 44(1): 59-70 https://doi.org/10.13249/j.cnki.sgs.20230154
Han Ruiling, Li Zongzhe, Ran Xinyue, Guo Xiaoyang, Du Xiaohui. Coordination degree of complex spatiotemporal systems and spatial characteristics of aviation node cities in China’s provincial capitals[J]. SCIENTIA GEOGRAPHICA SINICA, 2024, 44(1): 59-70 https://doi.org/10.13249/j.cnki.sgs.20230154

参考文献

[1]
李久枫, 余华飞, 付迎春, 等. 广东省“人口-经济-土地-社会-生态”城市化协调度时空变化及其聚类模式[J]. 地理科学进展, 2018, 37(2): 287-298.
Li Jiufeng, Yu Huafei, Fu Yingchun et al. Spatial-temporal changes of population-economy-land-society-ecology coordination level of urbanization and clustering: A case of Guangdong Province, China. Progress in Geography, 2018, 37(2): 287-298.
[2]
蒋正云, 宋金平, 赵晓迪. 新型城镇化高质量发展生态效应的空间溢出及门槛特征[J]. 经济问题探索, 2023(5): 97-112.
Jiang Zhengyun, Song Jinping, Zhao Xiaodi. Spatial spillover and threshold characteristics of ecological effects of high quality development of new type urbanization. Inquiry into Economic Issues, 2023(5): 97-112.
[3]
吴浩, 王秀, 周宏浩, 等. 东北三省资源型收缩城市经济效率与生计脆弱性的时空分异与协调演化特征[J]. 地理科学, 2019, 39(12): 1962-1971.
Wu Hao, Wang Xiu, Zhou Honghao et al. Spatial-temporal pattern of economic efficiency and livelihood vulnerability of resource-based shrinking cities and their coordinated evolution characteristics in the three provinces of Northeast China. Scientia Geographica Sinica, 2019, 39(12): 1962-1971.
[4]
张悦倩, 刘全龙, 李新春. 长三角城市群城市韧性与新型城镇化的耦合协调研究[J]. 城市问题, 2022(5): 17-27.
Zhang Yueqian, Liu Quanlong, Li Xinchun. A coupling and coordination study of urban resilience and new urbanization in the Yangtze River Delta urban agglomerations. Urban Problem, 2022(5): 17-27.
[5]
张冰, 李阳兵, 夏春华, 等. 土地利用转型背景下社会经济–生态环境耦合协调研究: 以长江沿岸城市为例[J]. 生态与农村环境学报, 2023, 39(4): 436-449.
Zhang Bing, Li Yangbing, Xia Chunhua et al. Study on the coupling coordination of socio-economic and ecological environment under the back-ground of land use transition: A case study of the cities along the Yangtze River. Journal of Ecology and Rural Environment, 2023, 39(4): 436-449.
[6]
唐建荣, 王元. 长三角地区城市协调发展水平及其影响因素[J]. 统计与决策, 2023, 39(7): 127-132.
Tang Jianrong, Wang Yuan. The urban coordinated development level and its influencing factors in Yangtze River Delta. Statistics & Decision, 2023, 39(7): 127-132.
[7]
蔡绍洪, 谷城, 张再杰. 时空演化视角下我国西部地区人口-资源-环境-经济协调发展研究[J]. 生态经济, 2022, 38(2): 168-175.
Cai Shaohong, Gu Cheng, Zhang Zaijie. Research on the coordinated development of population-resources-environment-economy in western China from the perspective of space-time evolution. Ecological Economy, 2022, 38(2): 168-175.
[8]
李雪铭, 郭玉洁, 田深圳, 等. 辽宁省城市人居环境系统耦合协调度时空格局演变及驱动力研究[J]. 地理科学, 2019, 39(8): 1208-1218.
Li Xueming, Guo Yujie, Tian Shenzhen et al. The spatio-temporal pattern evolution and driving force of the coupling coordination degree of urban human settlements system in Liaoning Province. Scientia Geographica Sinica, 2019, 39(8): 1208-1218.
[9]
杨仙, 于洋, 周睿. 国外节点-场所模型的研究进展及其启示――应用、扩展与系统化开发 [J/OL]. 国际城市规划, 1-17. https://doi.org/10.19830/j.upi.2022.013.
Yang Xian, Yu Yang, Zhou Rui. Research progress of the node-place model abroad and its enlightenments: Applications, extensions and systematic development. Urban Planning International: 1-17. https://doi.org/10.19830/j.upi.2022.013.
[10]
陆林, 邓洪波. 节点-场所模型及其应用的研究进展与展望[J]. 地理科学, 2019, 39(1): 12-21.
Lu Lin, Deng Hongbo. Progress and prospect of the node-place model and its application. Scientia Geographica Sinica, 2019, 39(1): 12-21.
[11]
陈卓, 梁宜, 金凤君. 基于陆路综合交通系统的中国城市网络通达性模拟及其对区域发展格局的影响[J]. 地理科学进展, 2021, 40(2): 183-193.
Chen Zhuo, Liang Yi, Jin Fengjun. Simulation of city network accessibility and its influence on regional development pattern in China based on integrated land transport system. Progress in Geography, 2021, 40(2): 183-193.
[12]
John D Kasarda, Greg Lindsay. Aerotropolis: The way we’ll live next [M]. New York: Farrar Straus and Giroux, 2012.
[13]
宋函, 罗唯玮, 许雅玺. 四川省民航运输与区域经济耦合协调度分析[J]. 科技和产业, 2021, 21(1): 67-73.
Song Han, Luo Weiwei, Xu Yaxi. Analysis of coupling and coordination between civil aviation transportation and regional economy in Sichuan Province. Science Technology and Industry, 2021, 21(1): 67-73.
[14]
王雨飞, 徐海东, 王光辉. 快速交通网络化影响下的城市空间关联与经济溢出效应研究――以航空及高铁网络为例[J]. 中国管理科学, 2023, 31(6): 207-220.
Wang Yufei, Xu Haidong, Wang Guanghu. Research on urban spatial correlation and economic spillover effect under the influence of rapid transportation network―Take aviation and high-speed rail networks as examples. Chinese Journal of Management Science, 2023, 31(6): 207-220.
[15]
陈乐. 集聚经济影响城市经济增长的理论基础与实证研究: 文献述评与展望[J]. 地理科学进展, 2022, 41(7): 1325-1337.
Chen Le. Theoretical basis and empirical studies of agglomeration economy influencing urban economic growth: Literature review and prospect. Progress in Geography, 2022, 41(7): 1325-1337.
[16]
Yao S, Yang X. Airport development and regional economic growth in China[J/OL]. http://dx. doi.org/10.2139/ssrn.1101574.
[17]
Baker D, Merkert R, Kamruzzaman M. Regional aviation and economic growth: Cointegration and causality analysis in Australia[J]. Journal of Transport Geography, 2015, 43: 140-150.
[18]
Elburz Z, Nijkamp P, Pels E. Spatial effects of air transport on regional development: Evidence from Turkey[J]. International Journal of Transport Economics, 2020, 47(2): 127-143.
[19]
Salesi V K, Tsui W H K, Fu X W et al. The nexus of aviation and tourism growth in the South Pacific Region[J]. Asia Pacific Journal of Tourism Research, 2021, 26(5): 557-578.
[20]
Brugnoli A, Dal Bianco A, Martini G et al. The impact of air transportation on trade flows: A natural experiment on causality applied to Italy[J]. Transportation Research Part A-Policy and Practice, 2018, 112: 95-107.
[21]
刘明超. 民航运输业与区域经济耦合协调发展研究[D]. 德阳: 中国民用航空飞行学院, 2020.
Liu Mingchao. Research on the coupling coordination development of civil aviation transport industry and regional economy. Deyang: Civil Aviation Flight Academy of China, 2020.
[22]
Pan Q. Transforming air space to place: Economic impact analysis for the airport development project of march joint powers authority[J]. Socio-Ecological Practice Research, 2022, 4(1): 21-37.
[23]
Tsui W H K, Fu X, Yin C et al. Hong Kong’s aviation and tourism growth—An empirical investigation[J]. Journal of Air Transport Management, 2021, 93: 1-10.
[24]
张蕾, 陈雯. 国内外空港经济研究进展及其启示[J]. 人文地理, 2012, 27(6): 13-18+136.
Zhang Lei, Chen Wen. Research progress of aviation economy home and abroad. Human Geography, 2012, 27(6): 13-18+136.
[25]
汤凯. 临空经济对区域发展的重构效应研究[J]. 云南财经大学学报, 2019, 35(7): 27-35.
Tang Kai. Research on the reconstruction effect of airport economy on regional development. Journal of Yunnan University of Finance and Economics, 2019, 35(7): 27-35.
[26]
余菲菲, 胡文海, 荣慧芳. 中小城市旅游经济与交通耦合协调发展研究――以池州市为例[J]. 地理科学, 2015, 35(9): 1116-1122.
Yu Feifei, Hu Wenhai, Rong Huifang. Coordinated development about tourism economy and transportation in medium and small cities: Chizhou as example. Scientia Geographica Sinica, 2015, 35(9): 1116-1122.
[27]
兰秀娟, 张卫国, 李春艳. 城市群高铁网络与经济高质量发展的耦合协调度评价[J]. 统计与决策, 2023, 39(8): 120-124.
Lan Xiujuan, Zhang Weiguo, Li Chunyan. Evaluation of coupling coordination degree between high-speed rail network and high-quality economic development in urban agglomerations. Statistics & Decision, 2023, 39(8): 120-124.
[28]
李玲玲, 韩瑞玲, 张晓燕. 中国航空碳排放及其效率时空演化特征分析[J]. 生态学报, 2022, 42(10): 3919-3932.
Li Lingling, Han Ruiling, Zhang Xiaoyan. Spatio-temporal evolution of carbon emission and its efficiency in Chinese aviation. Acta Ecologica Sinica, 2022, 42(10): 3919-3932.
[29]
狄乾斌, 於哲, 徐礼祥. 高质量增长背景下海洋经济发展的时空协调模式研究――基于环渤海地区地级市的实证[J]. 地理科学, 2019, 39(10): 1621-1630.
Di Qianbin, Yu Zhe, Xu Lixiang. Spatial-temporal coordination mode of marine economic development under the background of high quality growth: Based on the empirical study of prefecture-level cities in Circum-Bohai Sea. Scientia Geographica Sinica, 2019, 39(10): 1621-1630.
[30]
钟水映, 李魁. 人口红利、空间外溢与省域经济增长[J]. 管理世界, 2010(4): 14-23.
Zhong Shuiying, Li Kui. The population dividend, the spatial spill-over and the provincial economic growth. Journal of Management World, 2010(4): 14-23.
[31]
王振波, 梁龙武, 王旭静. 中国城市群地区PM2.5时空演变格局及其影响因素[J]. 地理学报, 2019, 74(12): 2614-2630.
Wang Zhenbo, Liang Longwu, Wang Xujing. Spatio-temporal evolution patterns and influencing factors of PM2.5 in Chinese urban agglomerations. Acta Geographica Sinica, 2019, 74(12): 2614-2630.
[32]
邓敏, 蔡建南, 杨文涛, 等. 多模态地理大数据时空分析方法[J]. 地球信息科学学报, 2020, 22(1): 41-56.
Deng Min, Cai Jiannan, Yang Wentao et al. Spatio-temporal analysis methods for multi-modal geographic big data. Journal of Geo-information Science, 2020, 22(1): 41-56.
[33]
杨振凯, 李响, 陈达. 时空对象的聚类方法与应用初探[J]. 地理信息世界, 2018, 25(2): 40-44.
Yang Zhenkai, Li Xiang, Chen Da. Study on clustering methods and applications for spatio-temporal objects. Geomatics World, 2018, 25(2): 40-44.
[34]
Han R L, Li L L, Zhang X Y et al. Spatial-temporal evolution characteristics and decoupling analysis of influencing factors of China’s aviation carbon emissions[J]. Chinese Geographical Science, 2022, 32(2): 218-236.

基金

国家自然科学基金项目(42071266)
河北省自然科学基金项目(D2021205003)
第三批河北省青年拔尖人才项目资助

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