| 长三角地区城市国际化水平研究——基于来华外国人手机国际漫游信令数据 |
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| 引用本文： | 李兆中,甄峰,秦萧.长三角地区城市国际化水平研究——基于来华外国人手机国际漫游信令数据[J].地理研究,2021,40(4):1025-1041. |
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| 作者姓名： | 李兆中 甄峰 秦萧 |
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| 作者单位： | 1.南京大学建筑与城市规划学院,南京 2100932.江苏省智慧城市设计仿真与可视化工程实验室,南京 210093 |
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| 基金项目： | 国家自然科学基金项目(41571146) |
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| 摘 要： | 在深入理解城市国际化内涵的基础上,以来华外国人手机国际漫游信令数据为支撑,从外国人人流联系视角构建了城市国际化水平的评价方法框架,包括外国人流动网络中心度、外国人流动联系强度、外国人国籍多样度3个方面。以长三角三省一市为研究对象进行了实证分析,结果表明：城市的国际化水平与城市的规模及等级总体上具有正相关性,但中小城市通过突出的专业特色领域在全球化中发挥重要作用,进而促进城市国际化的高水平发展。在空间格局上,长三角城市的国际化水平以上海和苏州为核心呈现“中心高、外围低”的总体趋势。但具体不同维度指标的测度结果表现出不同的特征。进一步与其他要素联系测度所得结果进行比较验证发现：城市的经济国际联系水平是影响外国人流动网络各项指标的最主要因素,交通联系则显著影响外国人流动网络中心度。
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| 关 键 词： | 城市国际化 外国人 人流联系 手机数据 长三角 |
| 收稿时间： | 2020-02-01 |
A study on the level of urban internationalization in the Yangtze River Delta: Based on international roaming mobile signaling data of foreigners in China |
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| LI Zhaozhong,ZHEN Feng,QIN Xiao.A study on the level of urban internationalization in the Yangtze River Delta: Based on international roaming mobile signaling data of foreigners in China[J].Geographical Research,2021,40(4):1025-1041. |
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| Authors: | LI Zhaozhong ZHEN Feng QIN Xiao |
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| Institution: | 1. School of Architecture and Urban Planning, Nanjing University, Nanjing 210093, China2. Provincial Engineering Laboratory of Smart City Design Simulation & Visualization, Jiangsu, Nanjing 210093, China |
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| Abstract: | From the perspective of the theory of flow space, the internationalization of a city is reflected in the level of the city's connection with other cities in the global flow network. Current research has achieved a wealth of results based on the flow of economy, information, transportation, politics, culture and other factors to reflect aspects of urban internationalization, but it is difficult to reveal the level of urban internationalization comprehensively. The flow of population with economic and social values is an important comprehensive characterization of urban connections. The flow of foreign population in cities reflects the comprehensive level of international exchanges in various areas of the city. Therefore, this paper proposes an evaluation method of the city's internationalization level from the perspective of the flow of foreign population. With the support of international roaming mobile signaling data of foreigners in China, the paper constructs a framework for urban internationalization evaluation from the perspective of foreigners' flow, including the foreigners' flow network centrality, the intensity of foreigners' connection and the nationality diversity of foreign population. The empirical analysis of the Yangtze River Delta shows that the city's internationalization level is positively correlated with the size and grade of the city, but small- and medium-sized cities can play an important role in globalization through prominent professional characteristics to reach high level of international development. In terms of spatial pattern, the internationalization level of the cities presents an overall trend of “high center and low periphery” with Shanghai and Suzhou as the cores. Yet the measurement results of specific different dimensional indicators show different characteristics. The foreigners' flow network centrality is generally consistent with the city's grade; The intensity of foreigners' connection accords with the order-scale distribution, and it is concentrated in Shanghai and Suzhou, which are in the top tier. Cities with high nationality diversity of foreign population are concentrated in the south of the Yangtze River Delta. Some small- and medium-sized cities with outstanding professional features have scored high on the nationality diversity of foreign population. Further comparison and verification with the results of other factor connection measurements revealed that the city's level of economic international connection is the most important factor affecting various indicators of foreign flows, and transportation connection significantly affects the centrality of the network of foreign flows. |
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| Keywords: | urban internationalization foreigner population flow mobile signaling data Yangtze River Delta |
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