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首页> 外文期刊>Journal of geovisualization and spatial analysis >Exploring Regionalization in the Network Urban Space
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Exploring Regionalization in the Network Urban Space

机译：探索区域化网络中的城市空间

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Isotropic homogeneity does not hold in urban areas. Street networks exert a great influence on human mobility. As a result, city structure is largely shaped by this network, especially the streets that carry a higher volume of traffic. In practice, small areas along network edges often need to be grouped into regions for management purposes. This work formalizes the extension to the P-regions problem that takes the network as the underlying constraint and proposes a heuristic-based approach to solve the problem to near optimality. The network is subdivided into aggregator edges that attract regions and separator regions that divide areas apart. Two types of regions emerge in the region formation process: regions that grow along a certain network edge (network regions) and regions that grow from areas that are far away from all the network edges (planar regions). The heuristic solution effectively uses pre-computed spatial contiguity and distance matrices. The global objective function consists of the original heterogeneity factor and the discounted network proximity factor. This approach is elaborated with both a simulated and a real-world dataset. The regionalization results help design, study, and service regions that explicitly consider the network configuration with flexible parameter controls.
机译：各向同性均匀性并不在城市区域。人类的机动性。主要由这个网络,特别是街道上有更高的体积流量。实践中,经常小范围在网络边缘需要分成区域管理目的。以网络为p区问题底层的约束,提出了一个heuristic-based方法来解决这个问题接近最优。聚合器吸引区域和边缘分离器区域划分区域分开。类型的区域出现在该地区形成过程:沿着某一地区生长网络边缘(网络区域)和区域从远离所有的领域网络边缘(平面区域)。解决方案有效地使用预先计算空间接触和距离矩阵。目标函数由原来的网络异质性因素和折扣间接因素。模拟和实际数据集。区划结果帮助设计、研究和服务区域明确地考虑网络配置与灵活的参数控制。

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