Club Characteristic and the Proximity Effect of Travel Links between Cities in China
With the increasingly close relations between cities in China, it is of great significance to explore the regular characteristics of the intercity connection. Through Tencent’s population migration heat and Baidu map big data, this paper analyzes the regular characteristics of the relations between...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/5786384 |
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| author | Mingxing Chen Xinyue Luo Maogui Hu Xiaoping Zhang |
| author_facet | Mingxing Chen Xinyue Luo Maogui Hu Xiaoping Zhang |
| author_sort | Mingxing Chen |
| collection | DOAJ |
| description | With the increasingly close relations between cities in China, it is of great significance to explore the regular characteristics of the intercity connection. Through Tencent’s population migration heat and Baidu map big data, this paper analyzes the regular characteristics of the relations between complex cities based on such index as the rich node propensity index, preference level index, and relative heat index and also investigates the influence of geographical proximity factors on the external relations of different cities. The research has the following results. Firstly, the relations between cities have obvious club characteristics. The rich nodes tend to connect with the rich nodes, while the nonrich nodes tend to connect with the nonrich nodes. Secondly, the connection between cities has the effect of hierarchical proximity, and cities mainly establish spatial connections with cities of the same level and adjacent level. Thirdly, the relations between cities also have the effect of geographical proximity, and the degree of influence of geographical proximity in low-level cities is greater than that in high-level cities. Fourthly, the external connection mode of high-level cities is to establish close contact with high-level cities adjacent to the level, with strong attraction to low-level cities adjacent to the location at the same time. The low-level cities are closely related to the high-level cities adjacent to the location and other cities of geographical proximity or adjacent level. This study helps to further understand the complex characteristics and laws of intercity connections and urban networks. |
| format | Article |
| id | doaj-art-f7023900d2ca41d9bca989377800ef52 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-f7023900d2ca41d9bca989377800ef522025-02-03T00:58:57ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/57863845786384Club Characteristic and the Proximity Effect of Travel Links between Cities in ChinaMingxing Chen0Xinyue Luo1Maogui Hu2Xiaoping Zhang3Institute of Geographic Science and Natural Resources Research, Key Laboratory of Regional Sustainable Development Modeling, CAS, Beijing 100101, ChinaInstitute of Geographic Science and Natural Resources Research, Key Laboratory of Regional Sustainable Development Modeling, CAS, Beijing 100101, ChinaInstitute of Geographic Science and Natural Resources Research, State Key Laboratory of Resources and Environmental Information System, CAS, Beijing 100101, ChinaCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, ChinaWith the increasingly close relations between cities in China, it is of great significance to explore the regular characteristics of the intercity connection. Through Tencent’s population migration heat and Baidu map big data, this paper analyzes the regular characteristics of the relations between complex cities based on such index as the rich node propensity index, preference level index, and relative heat index and also investigates the influence of geographical proximity factors on the external relations of different cities. The research has the following results. Firstly, the relations between cities have obvious club characteristics. The rich nodes tend to connect with the rich nodes, while the nonrich nodes tend to connect with the nonrich nodes. Secondly, the connection between cities has the effect of hierarchical proximity, and cities mainly establish spatial connections with cities of the same level and adjacent level. Thirdly, the relations between cities also have the effect of geographical proximity, and the degree of influence of geographical proximity in low-level cities is greater than that in high-level cities. Fourthly, the external connection mode of high-level cities is to establish close contact with high-level cities adjacent to the level, with strong attraction to low-level cities adjacent to the location at the same time. The low-level cities are closely related to the high-level cities adjacent to the location and other cities of geographical proximity or adjacent level. This study helps to further understand the complex characteristics and laws of intercity connections and urban networks.http://dx.doi.org/10.1155/2020/5786384 |
| spellingShingle | Mingxing Chen Xinyue Luo Maogui Hu Xiaoping Zhang Club Characteristic and the Proximity Effect of Travel Links between Cities in China Complexity |
| title | Club Characteristic and the Proximity Effect of Travel Links between Cities in China |
| title_full | Club Characteristic and the Proximity Effect of Travel Links between Cities in China |
| title_fullStr | Club Characteristic and the Proximity Effect of Travel Links between Cities in China |
| title_full_unstemmed | Club Characteristic and the Proximity Effect of Travel Links between Cities in China |
| title_short | Club Characteristic and the Proximity Effect of Travel Links between Cities in China |
| title_sort | club characteristic and the proximity effect of travel links between cities in china |
| url | http://dx.doi.org/10.1155/2020/5786384 |
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