A bottom-up approach for delineating urban areas minimizing the connection cost of built clusters: Comparison with top-down-based densely inhabited districts

A bottom-up approach for delineating urban areas minimizing the connection cost of built clusters: Comparison with top-down-based densely inhabited districts
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自下而上划定城市区域的方法可最大限度地减少已建集群的连接成本:与自上而下的人口稠密地区的比较

DOI:
10.1016/j.compenvurbsys.2019.101363
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发表时间:
2019
期刊:
Computers, Environment and Urban Systems
影响因子:
--
通讯作者:
Usui Hiroyuki
Usui Hiroyuki
中科院分区:
--
文献类型:
--
作者:
Arisaka Yoshinori;Yui Nobuhiko;後藤 順哉,三澤 祐一;Usui Hiroyuki

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本研究的主要目的是在考察城市区域划分与已建集群连接成本之间关系的基础上,提出一种一致的、自下而上的城市区域划分方法。本文提出的最优城市建筑群是指在首尾划分原则的基础上,将满足以下条件的建筑物进行分组,从而划分出的城市区域:(1)建筑物质心的最近邻距离小于使公共基础设施的平均总成本最小的标准(道路网);及(2)建筑群(称为城市建成群)的规模等于或大于城市建成群规模的平均值。在文献中,最佳的城市建成集群和人口密集区(DID),自上而下的方法,没有详细分析之间的差异。在用自下而上的方法(例如,本文中提出的方法),需要对这种差异进行评估。因此,DIDS和最优城市建成集群之间的差异进行了研究。在实证研究中,我选择了东京都东部的千叶县。研究结果表明:(1)城市建成区群与工业区的重叠关系可以根据其层次进行区分;(2)55%的工业区是最优的城市建成区群。然而,最佳的城市建成集群的大小,没有被包围的DID是相同的那些被包围的DID。这就给城市规划者提出了一个重要的问题,即如何处理两种类型的区域:重叠的区域不是DID,而是最佳的城市建成集群,重叠的区域不是最佳的城市建成集群,而是DID。
The main purpose of my research is to propose a consistent and bottom-up-based approach for delineating present and future urban areas on the foundation of investigating the relationship between delineating urban areas and the connection cost of built clusters. In my approach,optimal urban built clustersare defined as the delineation of urban areas by grouping buildings that satisfy the following rules based on the head/tail division rule: (1) the nearest neighbour distance from a building centroid is shorter than the criterion that can minimize the average total cost to provide public infrastructure (road networks); and (2) the size of grouped buildings (called an urban built cluster) is equal to or more than the mean of urban built cluster sizes. In the literature, the difference between optimal urban built clusters and densely inhabited districts (DIDs), a top-down-based approach, has not been analysed in detail. In replacing a top-down approach (DIDs) with a bottom-up one (e.g., the method proposed in this article), this difference needs to be evaluated. Therefore, the difference between DIDs and optimal urban built clusters was investigated. For the empirical study, I have selected Chiba prefecture, in the east of the Tokyo metropolitan region. Results show that (1) the overlapping relations of urban built clusters and DIDs can be distinguished based on their hierarchical levels; and (2) 55% of DIDs are optimal urban built clusters. However, the size of optimal urban built clusters that are not intersected by DIDs is the same as that of those intersected by DIDs. This poses to urban planners the important question of how to deal with two types of zones: zones overlapping not DIDs but optimal urban built clusters, and zones overlapping not optimal urban built clusters but DIDs.
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