基于交通流和信息流的长江三角洲地区空间网络演化格局及影响因素研究
缪涟婕 , 张莉 , 陆玉麒
南京师大学报(自然科学版) ›› 2026, Vol. 49 ›› Issue (4) : 1 -13.
基于交通流和信息流的长江三角洲地区空间网络演化格局及影响因素研究
Research on the Spatial Network Evolution Pattern and Influencing Factors in the Yangtze River Delta Based on Traffic Flow and Information Flow
以流空间理论为指导,利用 GIS 空间分析方法和社会网络分析方法解析 2019—2025 年长三角地区在交通流、信息流双重视角下的空间联系网络格局及演化特征,并运用地理探测器探索该地区要素流空间分异的影响因素. 结果表明:①要素流网络呈显著空间分异,上海主导流动格局,交通流网络呈现枢纽地位调整特征,信息流网络层级稳定且核心城市持续引领;②网络呈现“核心-边缘”结构,紧密度提升但整体凝聚力较低;③交通流网络从局部连通转向全域互动,信息流网络由等级辐射演变为扁平化、多中心协同,二者通过“硬联通”与“软协同”互补,推动长三角地区从地理连通迈向功能深度融合;④经济总量扩张、消费需求增长、创新活跃是要素流动的核心动力,各城市要素流空间分异由驱动因子协同耦合共同塑造. 在未来发展中,应当优化长三角地区跨区域通道、培育次级功能节点,推动区域空间结构从地理空间集聚向功能联系网络转型,从而促进长三角地区一体化发展.
Guided by the theory of flow space, this paper analyzes the patterns and evolutionary characteristics of spatial connection networks in the Yangtze River Delta from 2019 to 2025 from traffic and information flow perspectives using GIS and social network analysis. Geographical detectors are applied to identify factors influencing spatial differentiation of element flows. The results show that:①The element flow network exhibits significant spatial differentiation, with Shanghai dominating flow pattern. The traffic flow network shows adjustments in hub status, while the information flow network remains stable with core cities leading. ②The network shows a core-periphery structure, density has increased but cohesion remains low. ③The traffic flow network has shifted from partial connectivity to comprehensive interaction, while the information flow network has evolved from a hierarchical radiation pattern to a flattened, polycentric, and collaborative structure. Their "hard connectivity" and "soft coordination" complementarity drives the Yangtze River Delta from geographical connectivity to functional integration. ④Economic expansion, consumer demand growth, and active innovation are core drivers. Spatial differentiation of element flows in each city is shaped by their synergistic coupling. Future development should optimize cross-regional corridors, cultivate secondary functional nodes, and transform the regional spatial structure from geographical agglomeration to a functional connectivity network, thus promoting integrated development of the Yangtze River Delta.
| [1] |
Castells M. The informational city: information technology, economic restructuring, and the urban—regional process [M]. Oxford, UK: Blackwell,1989. |
| [2] |
|
| [3] |
彼得·霍尔,凯西·佩恩. 多中心大都市:来自欧洲巨型城市区域的经验[M]. 罗震东,译.北京:中国建筑工业出版社,2010. |
| [4] |
|
| [5] |
赵梓渝,魏冶,庞瑞秋, |
| [6] |
郭倩倩,张志斌,陈龙, |
| [7] |
金凤君. 我国航空客流网络发展及其地域系统研究[J].地理研究,2001,20(1): 31-39. |
| [8] |
游悠洋,杨浩然,王姣娥. “高铁流”视角下的中国城市网络层级结构演变研究[J].世界地理研究,2020,29(4): 773-780. |
| [9] |
赵亚博,黄柳倩,胡蝶, |
| [10] |
|
| [11] |
甄峰,王波,陈映雪. 基于网络社会空间的中国城市网络特征:以新浪微博为例[J].地理学报,2012,67(8): 1031-1043. |
| [12] |
赵金丽,张学波,任嘉敏, |
| [13] |
杨辉宇,曾达,李苗苗, |
| [14] |
卢婉婷,刘艳芳,安睿, |
| [15] |
张贵,李海鹏,张东旭. 基于多源流数据的京津冀城市群网络结构研究[J].经济与管理,2019,33(4): 1-7. |
| [16] |
孙芳城,张娜,胡钰苓, |
| [17] |
钟业喜,吴思雨,冯兴华, |
| [18] |
熊丽芳,甄峰,席广亮, |
| [19] |
任梦瑶,肖作鹏,王缉宪. 中国城际专线物流网络空间格局[J].地理学报,2020,75(4): 820-832. |
| [20] |
刘贺,李雪铭,宫一路. 长江中游城市群城市网络演化及影响因素:多元要素流视角[J].世界地理研究,2024,33(10): 100-115. |
| [21] |
马菁,曾刚,胡森林, |
| [22] |
李梦程,王成新,刘海猛, |
| [23] |
叶珊珊,曹明明,胡胜. 关中平原城市群经济联系网络结构演变及对经济增长影响研究[J].干旱区地理,2022,45(1): 277-286. |
| [24] |
王小华,杨玉琪,罗新雨, |
| [25] |
刘耀彬,王梓畅,骆康, |
| [26] |
王劲峰,徐成东. 地理探测器:原理与展望[J].地理学报,2017,72(1): 116-134. |
| [27] |
李江敏,赵青青,陈静. 长江经济带非物质文化遗产空间分布特征与影响因素[J].经济地理,2020,40(12): 191-198. |
| [28] |
冯兴华,修春亮,白立敏, |
| [29] |
何胜,唐承丽,周国华. 长江中游城市群空间相互作用研究[J].经济地理,2014,34(4): 46-53. |
| [30] |
林赛南,邓慧琳,彭馨雨, |
| [31] |
赵芮,丁志伟. 基于流空间视角的中原城市群物流网络结构及其影响因素分析[J].地域研究与开发,2022,41(4): 71-77. |
国家自然科学基金项目(42571202)
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