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复杂网络视角下的城市人流空间概念模型与研究框架
引用本文:罗桑扎西,甄峰,张姗琪.复杂网络视角下的城市人流空间概念模型与研究框架[J].地理研究,2021,40(4):1195-1208.
作者姓名:罗桑扎西  甄峰  张姗琪
作者单位:1.南京大学建筑与城市规划学院,南京 2100932.江苏省智慧城市设计仿真与可视化技术工程实验室,南京 210093
基金项目:国家自然科学基金项目(41571146);国家自然科学基金项目(52008201);国家社会科学基金重大项目(20AZD040)
摘    要:城市内人流特征研究一直是城市地理学和城市空间研究的重要领域之一。针对已有相关研究存在仅侧重于从人口规模、密度视角分析空间分布及格局特征,而对隐藏于空间分布背后,因人流动而建立的空间交互关系关注不足的问题。本文以流空间理论、复杂网络理论、空间行为交互理论为理论基础,立足基于流、网络剖析城市内部空间中各要素间的相互作用及关系,选取人流为观测研究对象,将城市空间、人、设施、服务和地理环境等要素之间的互动关系抽象为网络,提出了基于复杂网络视角的城市人流空间概念模型。在此基础上,进一步构建了城市人流空间研究框架,即基于理论融合、数据支撑与研究方法的整合创新,以探究人流视角下的城市空间特征、功能结构、人流与建成环境时空耦合关系及流动的时空模拟预测为重点的研究内容体系,并探讨其在规划实践业务中的方法技术支撑与应用拓展。以期为未来开展实证研究提供指导,提升城市感知数据在城市空间规划及管理中的应用价值,丰富“以流定形”的理性城市规划方法体系。

关 键 词:城市人流空间  空间交互  复杂网络  概念模型  规划应用  
收稿时间:2019-11-18

A conceptual model and methodological framework for examining urban people flow space based on complex network perspective
LUO Sangzhaxi,ZHEN Feng,ZHANG Shanqi.A conceptual model and methodological framework for examining urban people flow space based on complex network perspective[J].Geographical Research,2021,40(4):1195-1208.
Authors:LUO Sangzhaxi  ZHEN Feng  ZHANG Shanqi
Institution:1. School of Architecture and Urban Planning, Nanjing University, Nanjing 210093, China2. Provincial Engineering Laboratory of Smart City Design Simulation & Visualization, Jiangsu, Nanjing 210093, China
Abstract:Analyzing the dynamic characteristics of urban people flow is one of great practical significance in urban geography and urban space research. Traditional studies on people flow mainly use census data, focusing on the annual changes of people flow between regional, interprovincial, or municipal spatial scales, while studies on people flow characteristics at smaller spatial scales (such as areas within a city) are extremely limited. Recently, many researchers have carried out studies on spatial structure, the relationship between people flow and urban built environment, urban people flow simulation and prediction. The studies have made great achievements, which have promoted the understandings of the urban spatial organization from the perspective of spatial interaction. The existing studies, however, have obvious limitations because they only focus on the spatial distribution and spatial patterns of people from the perspective of population size and density, but pay less attention to the spatial interactions hidden behind the spatial distribution. To overcome these limitations, we proposed a conceptual model of urban people flow space based on the perspective of a complex network, which is based on the theories of flow space, of complex system, and the interaction of spatial behavior. In this conceptual model, we selected urban people flow as the study object and considered the interactions among urban space, elements, and people as a network. The model focuses on analyzing the interaction and relationships between intra-urban spatial elements based on network and flow. Based on the conceptual model, we further put forward an urban people flow space research framework, based on the theory of data fusion, support and research methods of the integration of innovation. The framework aims to facilitate the explorations of the urban space characteristic, function structure, traffic and built environment relations and flow simulation prediction research, with an emphasis on the research content, and the technical support and application development for the planning practice. The framework is expected to provide a reference for future empirical research and to deepen the application value of rich urban data in urban spatial planning and management.
Keywords:urban people flow space  spatial interaction  complex network  conceptual model  urban planning application  
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