公共开放空间私有化背景下大型住宅区的城市密集化——以里加Imanta为例

Q2 Arts and Humanities
S. Treija, U. Bratuškins, Alisa Koroļova
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引用次数: 7

摘要

几十年来,以有效利用城市区域为目的的城市更新一直是城市发展的一项战略。密集化被用作一种规划方法来促进紧凑型城市模式的实施,并阻止城市蔓延。城市的中心地区通常人口密度很高,因此城市历史中心以外的地区被视为城市密度增加的潜在地点。在许多欧洲城市,第二次世界大战后建造的大规模住宅区占据了城市历史中心以外的很大一部分领土。今天,这些住房区在大多数情况下是具有巨大发展潜力的睡眠区。城市核心区以外地区的密集化不是一件容易的事情,它涉及一系列的挑战。本文探讨了现有的方法集中在密集的大型住宅小区。为了确定这一过程的典型挑战,分析了里加Imanta大型住宅区填充开发的例子。对伊曼塔地区的充填开发分析显示了四种可能的方法。有些方法有助于改善社区居民的公共空间,但有些方法倾向于将新开发项目和居民与周围地区隔离开来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Urban Densification of Large Housing Estates in the Context of Privatisation of Public Open Space: the Case of Imanta, Riga
Abstract Urban regeneration with a view to efficient use of urban areas has been a strategy for urban development for decades. Densification is used as a planning approach to promote the implementation of the compact city model and to discourage urban sprawl. The central parts of the city are usually of high density, so the areas outside the city’s historic centre are seen as potential sites for urban densification. In many European cities large-scale residential areas built after the Second World War occupy a significant part of the territory outside of the city’s historic centres. Today, these housing areas are in most cases sleeping areas with great potential for development. Densification of urban areas outside of urban nuclei is not an easy task, and deals with a whole series of challenges. The paper examines the existing approaches focused on densification in large housing estates. In order to define the typical challenges of this process, the examples of infill developments in large housing area Imanta in Riga are analysed. The analysis of infill development in Imanta showed four possible approaches. Some approaches contribute to the improvement of public space for neighbourhood inhabitants in general, still some approaches tend to isolate the new development and inhabitants from the surrounding territory.
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来源期刊
Architecture and Urban Planning
Architecture and Urban Planning Arts and Humanities-Conservation
CiteScore
0.80
自引率
0.00%
发文量
4
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