Towards Liveable Urban Densities Using a GIS-Based Assessment Methodology

Q2 Social Sciences
Anna Kovacs-Györi, G. Gruber, Michael W. Mehaffy, L. Ma
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引用次数: 0

Abstract

Urban density and densi fication are hotly debated topics of sustainable urban development. On the one hand, international landmark agreements such as the Sustainable Development Goals and the New Urban Agenda highlight the importance of good quality urban environments with low pollution, easy access to green spaces, walkability, and active mobility. On the other hand, densi fication can increase pollution, decrease available green spaces, and degrade walkability by concentrating vehicles and their operations. The result can be a degradation of urban liveability, de fined as a city's capacity to promote the wellbeing of residents. Yet higher urban density can also result in more effi cient urban infrastructures and networks and provide more housing (including more aff ordable housing) in more appropriate mixed-use locations. The challenge, then, is to maintain the liveable quality of this denser urban fabric. The GIS-based approach presented in this paper uses a basic liveability assessment by calculating connectivity, greenery, and urban form complexity metrics to be employed in the context of densi fication, aiming to optimize sustainability and liveability aspects. Using our study area in Salzburg, Austria, we demonstrate how such a GIS-based liveability assessment, relying on spatial data, can aid urban planners in quantifying and achieving both urban density and liveability.
使用基于gis的评估方法实现宜居城市密度
城市密度和密度化是城市可持续发展的热点问题。一方面,《可持续发展目标》和《新城市议程》等具有里程碑意义的国际协议强调了低污染、易于获得绿色空间、适宜步行和积极出行的优质城市环境的重要性。另一方面,高密度化会增加污染,减少可用的绿色空间,并通过集中车辆及其操作降低步行性。其结果可能是城市宜居性的退化,宜居性被定义为城市促进居民福祉的能力。然而,更高的城市密度也可以带来更高效的城市基础设施和网络,并在更合适的混合用途地点提供更多住房(包括更多经济适用房)。因此,挑战在于保持这种密集城市结构的宜居质量。本文提出的基于gis的方法通过计算连通性、绿化和城市形态复杂性指标来进行基本的宜居性评估,旨在优化可持续性和宜居性方面。利用我们在奥地利萨尔茨堡的研究区域,我们展示了这种基于gis的宜居性评估如何依赖于空间数据,帮助城市规划者量化和实现城市密度和宜居性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Built Environment
Built Environment Social Sciences-Urban Studies
CiteScore
2.80
自引率
0.00%
发文量
29
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