| 行为网络视角下区域空间结构研究进展 |
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| 引用本文： | 张文佳,牛彩澄,朱建成.行为网络视角下区域空间结构研究进展[J].地理科学进展,2022,41(8):1504-1515. |
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| 作者姓名： | 张文佳 牛彩澄 朱建成 |
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| 作者单位： | 北京大学城市规划与设计学院,广东 深圳 518055 |
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| 基金项目： | 国家自然科学基金项目(42171201);广东省自然科学基金项目(2020A1515010847);深圳市自然科学基金项目(JCYJ20190808173611341) |
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| 摘 要： | 论文系统综述了区域空间结构研究的多种视角与分析方法及其发展脉络,认为行为视角下区域空间结构的研究经历了从行为汇总到行为交互、地方属性到网络联系的转变过程。早期的空间结构研究多通过行为汇总与地方属性的分析,聚焦于区域内空间单元的属性相关性,具体包括社会区、同质区与空间邻域等视角与方法。近期研究则逐步发生了“关系转向”与“网络转向”,更多从行为交互与网络联系出发,分析区域的网络结构和空间格局,包括传统的功能区分析、社群结构分析、核心—边缘结构研究等。通过比较不同分析视角,论文最后提出未来城市与区域空间结构研究应加深对行为交互与网络联系的理解,加强对行为空间网络的中观尺度结构分析,在方法应用上需要避免“方法决定论”,并探索适用于多尺度、多要素的多层网络分析视角与方法。
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| 关 键 词： | 区域空间结构 行为交互 复杂网络 社群发现 核心—边缘 中观结构 |
| 收稿时间： | 2021-12-14 |
| 修稿时间： | 2022-03-27 |
Progress of regional spatial structure research from the perspective of behavior network |
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| ZHANG Wenjia,NIU Caicheng,ZHU Jiancheng.Progress of regional spatial structure research from the perspective of behavior network[J].Progress in Geography,2022,41(8):1504-1515. |
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| Authors: | ZHANG Wenjia NIU Caicheng ZHU Jiancheng |
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| Institution: | School of Urban Planning and Design, Peking University, Shenzhen 518055, Guangdong, China |
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| Abstract: | This article critically reviewed the development of research perspectives in the studies of regional spatial structure, with an analytical shift from the focus of behavioral aggregation to behavioral interaction, as well as from place-based attributes to network-based interrelationships. Traditional spatial structure research mainly highlights social or spatial correlations among the attributes of intra-regional spatial units (for example, cities), based on the aggregated statistics of social and economic behaviors. Corresponding approach includes social-area analysis and homogenous-area detection. Recent studies have encountered a "relational turn” and "network turn", which aim to frame regional spatial structure into a combination of network structures and spatial patterns from the perspective of behavioral interaction and spatial network. Such network-based analyses include traditional functional-area analysis, community detection algorithms, and core-periphery analysis from the field of network science and social network analysis. By comparing these perspectives, this article finally suggested that future studies should further explore the rationale of behavioral interaction and intra-regional network in understanding regional spatial structure, avoid the trap of "methodological determination" by developing mesoscale analysis, and investigate multiple spatial structures across scales and mobility factors under the perspective of multilayer networks. |
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| Keywords: | regional spatial structure behavioral interaction complex network community detection core-periphery mesoscale structure |
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