| 基于手机信令数据的广西区域多尺度网络空间结构研究 |
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| 引用本文： | 洪良,张文静,班鹏飞,阳柳凤,项振海.基于手机信令数据的广西区域多尺度网络空间结构研究[J].热带地理,2022,42(8):1264-1274. |
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| 作者姓名： | 洪良 张文静 班鹏飞 阳柳凤 项振海 |
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| 作者单位： | 1.广东国地规划科技股份有限公司, 广州 510070;2.昆明理工大学 建筑与城市规划学院, 昆明 650500;3.广西壮族自治区自然资源厅, 南宁 530000 |
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| 基金项目： | 云南省教育厅科学基金项目(2019J0036) |
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| 摘 要： | 为揭示广西壮族自治区网络空间结构特征，采用手机信令数据分别从亚区域、地级市、市区―市区、市区―县（市）和县（市）―县（市）5个尺度测度了其网络关联强度和中心性。结果表明：1）在水平联系上，亚区中桂南中心性最高，其次是桂西和桂北，桂东中心性最低；4个亚区间的联系表现为桂南与桂西间联系最密切，桂南与桂东、桂北间的联系相对较强，桂北与桂东、桂西间的联系相对较弱，桂西与桂东间联系最弱。地级市间南宁中心性最高，其次是来宾；关联网络以南宁为核心向外辐射，有2条突出的联系，分别为南宁―河池和南宁―来宾。市区联系网络中，桂林市区的中心性最高，其次是柳州市区和玉林市区，河池市区中心性最低；有5条联系较为突出，分别为防城港―钦州、贵港―来宾、钦州―南宁、来宾―柳州、崇左―南宁。县（市）之间的关联强度总体水平较低，关联强度较高的联系主要分布在北部湾城市群、西江经济带、324国道沿线以及桂林漓江风景区周边。2）在垂直联系上，亚区内部城市间联系表现为桂北最强，桂东、桂南其次，桂西最弱。受行政管辖的影响，市区与县（市）间的联系符合一般的距离衰减规律，部分市区和与县（市）之间的联系超出行政管辖的范围；基于各市区的腹地与行政辖区的对比，发现南宁、柳州为跨界市区―县（市）格局，河池为弱界市区―县（市）格局，其余的为适界市区―县（市）格局。
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| 关 键 词： | 空间结构 城市网络 手机信令数据 网络关联强度 广西 |
| 收稿时间： | 2021-11-24 |
Research on the Multi-Scale Network Spatial Structure of Guangxi Using Mobile Signaling Data |
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| Liang Hong,Wenjing Zhang,Pengfei Ban,Liufeng Yang,Zhenhai Xiang.Research on the Multi-Scale Network Spatial Structure of Guangxi Using Mobile Signaling Data[J].Tropical Geography,2022,42(8):1264-1274. |
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| Authors: | Liang Hong Wenjing Zhang Pengfei Ban Liufeng Yang Zhenhai Xiang |
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| Institution: | 1.Guangdong Guodi Planning Technology Co. , Ltd, Guangzhou 510070, China;2.Science and Technology, Kunming University, Kunming 650500, China;3.Department of Natural Resources of Guangxi Zhuang Autonomous Region, Nanning 530000, China |
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| Abstract: | Scholars have widely discussed the topic of regional spatial structure. However, most of the literatures are produced to understand this filed from a single scale perspective, with little attention to multi-scale perspectives and the relationship between different scale areas.In addition, the current empirical results are mostly concentrated in the eastern coastal areas of China, and few studies examine the underdeveloped southwest regions. This study goes beyond the method of taking prefecture-level cities as measurement units and investigates the relationship between different scales in the field of urban networks. Based on mobile signaling data, this study conducts an empirical examination of the spatial network structure of Guangxi, where urban districts and counties are taken as basic measurement units, and the connection degree and centrality models are employed for quantitative analysis. The following results were derived: In terms of horizontal linkage, the relationship between four sub-regions shows that southern Guangxi has the highest centrality, followed by western Guangxi and northern Guangxi, eastern Guangxi has the lowest centrality. The connection degree of four sub-regions indicates that southern Guangxi has the strongest connection with western Guangxi, as well as strong connections with eastern and northern Guangxi. Northern Guangxi has weak connections with eastern and western Guangxi, while eastern Guangxi has the weakest connection with western Guangxi. The relationship between inter-prefecture-level cities shows that Nanning has the highest centrality, followed by Laibin. The connection among prefecture-level cities is centered on Nanning, and there are two main connection axes: Nanning-Hechi and Nanning-Laibin. The relationship between inter-urban districts shows that Guilin has the highest centrality, followed by Liuzhou and Yulin. Hechi has the lowest centrality, and there are five prominent connections: Fangchenggang-Qinzhou, Guigang-Laibin, Qinzhou-Nanning, Laibin-Liuzhou, and Chongzuo-Nanning. The inter-county relationship shows that the relation intensity is relatively lower; Guiping has the strongest connection with Pingnan, followed by Lingshan-Pubei. Strong connections are mainly located in the Beibu Gulf urban agglomeration, the Xijiang Economic Belt, along National Highway 324, and around the Lijiang River Scenic Area in Guilin. In terms of vertical linkage, the inter-city relationships within four sub-regions show that the internal connection of northern Guangxi is the strongest, followed by eastern and southern Guangxi, and that of western Guangxi is the weakest among four sub-regions, which can be used as the basis of economic zone division. The relationship between urban districts and counties shows that administrative jurisdiction has an important influence on the connections between these. The relationship intensity conforms to the law of distance attenuation, but some connections are beyond the scope of administrative jurisdiction. The hinterland of each urban district can be divided into three patterns: cross-, weak, and suitable boundaries. Nanning and Liuzhou are cross-boundary patterns, Hechi is a weak boundary pattern, and the rest are suitable boundary patterns. Comparing this with the current administrative regions, there are obvious differences; Nanning and Liuzhou have a wider scope of influence than their administrative regions, and Hechi has a smaller scope, which provides a basis for further adjustment of the administrative divisions. |
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| Keywords: | spatial structure urban network mobile signaling data network connection degree Guangxi |
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