Using Location Quotients to Determine Public–Natural Space Spatial Patterns: A Zurich Model
Ning Xu,
Yuning Cheng and
Xiaodong Xu
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Ning Xu: School of Architecture, Southeast University, 2 Sipailou, Nanjing 210018, China
Yuning Cheng: School of Architecture, Southeast University, 2 Sipailou, Nanjing 210018, China
Xiaodong Xu: School of Architecture, Southeast University, 2 Sipailou, Nanjing 210018, China
Sustainability, 2018, vol. 10, issue 10, 1-18
Abstract:
The layout relationship between the public space system and the natural system of cities determines the trend of urban spatial forms. From the perspective of the integration of landscape architecture and urban design discipline, this paper generalizes three restriction/dependence relationship modes between urban public space and natural landscape layout: (1) overlapping mode, (2) separation mode, and (3) the mode of edge combination. Using Zurich, Switzerland, as a case study, this paper quantitatively explores the layout relationship between public space and natural landscape using the location quotient method. The research findings reveal an obvious layer distribution trend of Zurich urban public space and natural factors: the public space and mountain layout have a clear separation relationship. The regressive equation is PQ = −0.188lnMQ + 0.660, forming the mutually supplementary mechanism of the advantageous resources of public activities. The Zurich model shows that when a proper relationship is established among the natural system and the urban public space, human activities, and the public activity centers of the city, the new system provides significant ecological and social benefits. This finding provides an exemplary reference for urban construction in other countries.
Keywords: spatial pattern; urban public space; location quotient; natural landscape; urban design (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (2)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:10:y:2018:i:10:p:3462-:d:172551
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