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《城市交通》杂志
2026年 第4期
城市信息流网络与服务业集聚的交互效应研究动态
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文章编号: 1672-5328(2026)04-0122-05

黄知微1, 2
(1. 同济大学交通学院,上海201804;2.同济大学城市交通研究院,上海201804)

摘要: 选取来自国际学术期刊的论文,以概述形式对城市交通理论方法、实证分析等研究成果进行 总结性介绍,旨在增强城市交通业界与学界对国际学术动向及研究热点的关注,促进学术交流。 《城市信息流网络、服务业集聚及其异质性交互效应:来自粤港澳大湾区的实证研究》一文,以粤 港澳大湾区为案例,分析城市信息流网络与服务业集聚的时空特征,并构建空间联立方程模型,探 究二者间的交互作用与空间溢出效应,同时考察网络功能、集聚方向和服务业类型的异质性影响。 结果表明:大湾区信息流网络已从松散的双核心结构演变为紧密的多中心交互模式;服务业总体集 聚水平有所提升,但专业化集聚与多样化集聚存在显著的空间不对称性;城市信息流网络与服务业 专业化集聚之间存在双向抑制效应,而与多样化集聚之间呈现互补互促关系,该结论通过了稳健性 检验;研究还揭示了二者交互关系中的空间依赖效应与行业异质性,并阐明了其相互作用路径。这 些发现有助于理解网络空间环境下的服务业集聚,为信息时代优化区域空间结构与调整产业布局提 供参考。

关键词: 城市网络;服务业集聚;信息流;粤港澳大湾区;空间联立方程

中图分类号: F49

文献标识码:A

Academic Dynamics on the Interactive Effects Between Urban Information Flow Networks and Service Industry Agglomeration

Huang Zhiwei1, 2
(1. College of Transportation, Tongji University, Shanghai 201804, China; 2. Urban Mobility Institute, Tongji University, Shanghai 201804, China)

Abstract: A review of selected papers from international academic journals is presented to summarize research findings, theoretical approaches, and empirical analyses of urban transportation. The aim is to enhance the communication between industrial and academic fields in urban transportation, highlight international research focuses, and promote academic exchange. The reviewed paper, titled "Urban Information Flow Networks, Service Sector Agglomeration, and Their Heterogeneous Interaction Effects: An Empirical Study from the Guangdong-Hong Kong-Macao Greater Bay Area", uses the Greater Bay Area as a case study to analyze the spatiotemporal characteristics of urban information flow networks and service industry agglomeration. It constructs spatial simultaneous equations to investigate the interaction between the two and their spatial spillover effects, while also examining the heterogeneous impacts of network functions, agglomeration directions, and service industry types. The results indicate that the information flow network in the Greater Bay Area has evolved from a loose dual-core structure to a tightly integrated, polycentric interactive pattern; while the overall level of service industry agglomeration has increased, significant spatial asymmetry exists between specialized and diversified agglomeration; there is a bidirectional inhibitory effect between urban information flow networks and specialized service industry agglomeration, whereas a complementary and mutually reinforcing relationship exists with diversified agglomeration—a conclusion that has passed robustness tests. The paper also reveals the spatial dependence effects and industrial heterogeneity in the interaction between these two phenomena and elucidates their interaction pathways. These findings contribute to the understanding of service industry agglomeration in a networked spatial environment and provide a reference for optimizing regional spatial structures and adjusting industrial layouts in the information age.

Keywords: urban networks; service industry agglomeration; information flow; Guangdong-Hong Kong- Macao Greater Bay Area; spatial simultaneous equations