Using Location Quotients to Determine Public–Natural Space Spatial Patterns: A Zurich Model
Abstract
:1. Introduction
2. The Restrictive/Dependent Relationship between the Layout of Urban Public Space and Natural Factors
2.1. The Overlapping Mode
2.2. The Separation Mode
2.3. The Edge-Binding Mode
3. Methodology
3.1. The Location Quotient Method
3.2. The Framework of Quantitative Calculation
3.2.1. Establishing a Vectorized Digital Base Map
3.2.2. LQ Application and Index Selection
3.2.3. Data Statistics and Analysis
4. Case Study
4.1. An Overview of the Natural Factor Distribution and Public Space Pattern of Zurich
4.2. The Quantification of Relationship Modes
5. Results
5.1. The Layout Relationship between Public Space and Natural Factors Based on the Layer Structure
5.1.1. The Overlapping Relationship
5.1.2. The Separation Relationship
5.1.3. The Edge-Binding Relationship
5.2. The Layout Relationship between Public Space and Natural Factors Based on Administrative District Units
6. Discussion and Analysis
7. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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The Overlapping Mode | |
Layout | Union: urban public space and natural factors overlap in spatial distribution |
Advantages | Ecology: natural factors play the ecological role, and urban textures are incorporated into the regional and biological background Aesthetics: large natural factors become the carrier of cognition of urban features, bring landscape benefits, and improve urban quality [20] Health: natural factors help regulate citizens’ physical and mental health |
Challenges | Society: enhancement of diversity and inclusiveness characteristics of natural spaces [13] Density: density of urban textures declines Structure: large natural factors lead to separation of urban space |
The Separation Mode | |
Layout | Emptiness: independent layout between urban public space and natural factors |
Advantages | Purity: both the priority of the ecosystem and the “urbanity” of the city are guaranteed Fairness: fairness in the pattern of public space and distribution of natural factors Vigor: suitable for cities with a centralized layout, providing easier social contact [21,22] |
Challenges | Ecology: decrease of natural space inside the city Connection: isolation between public space layout and natural factors Dispersion: decline of accessibility to natural factors |
The Edge-Binding Mode | |
Layout | Intersection: combine urban public space with natural factors at the edge zone |
Advantages | High efficiency: public space uses natural resources to provide activity support, and the natural landscape is reinforced Structure: Intervening in the urban structure, playing an active role in urban life Development: a strong “edge effect”, facilitating the appreciation of neighboring land and boosting regional economic development |
Challenges | Fairness: public space around natural environment is threatened by privatization Vigor: the public space adjacent to the natural resources, on the periphery of the city, has declining accessibility and service objects |
Index | di/Di | ||
---|---|---|---|
Indexes of natural factors | Mountain site area | The site area of different layers/the site area of different administrative districts | The site area of Zurich |
Water site area | |||
The indexes of urban public space | The site area of urban public space | ||
The site area of natural public space | |||
The site area of waterfront public space |
Layer | Spatial Scope | Area (km2) | Proportion |
---|---|---|---|
Core layer | Old urban area | 1.5 | 1.7% |
Central layer | Focused on public areas (the hinterlands of Limmat and railway station yards, and the neighborhoods of Zurich Lake) | 11.7 | 12.7% |
Peripheral layer | Focused on residential areas (the district boundary, deducting the core layer and central layer) | 78.7 | 85.6% |
Total city | The boundary of administrative districts | 91.9 | 100% |
Structure | Mountain Bodies | Water Bodies | Natural Public Space | Waterfront Public Space | Urban Public Space |
---|---|---|---|---|---|
The core layer | 0.000 | 1.555 | 3.576 | 6.194 | 5.796 |
The central layer | 0.005 | 0.530 | 1.867 | 1.556 | 2.270 |
The peripheral layer | 1.167 | 1.059 | 0.820 | 0.815 | 0.717 |
Average | 0.391 | 1.048 | 2.088 | 2.855 | 2.928 |
Standard deviation | 0.549 | 0.418 | 1.136 | 2.381 | 2.125 |
Variable coefficient | 1.405 | 0.399 | 0.544 | 0.834 | 0.726 |
Administrative Districts | Mountain Bodies | Public Space | Administrative Districts | Mountain Bodies | Public Space |
---|---|---|---|---|---|
11 | 0.000 | 3.342 | 73 | 2.332 | 0.612 |
12 | 0.000 | 3.983 | 74 | 1.391 | 0.190 |
13 | 0.000 | 4.365 | 81 | 0.000 | 2.655 |
14 | 0.000 | 5.066 | 82 | 0.000 | 0.373 |
21 | 0.589 | 1.097 | 83 | 0.380 | 0.456 |
23 | 1.871 | 0.279 | 91 | 1.752 | 0.637 |
24 | 0.000 | 2.163 | 92 | 0.873 | 0.868 |
31 | 0.066 | 0.531 | 101 | 1.331 | 0.424 |
33 | 2.122 | 0.836 | 102 | 1.034 | 0.684 |
34 | 0.000 | 1.476 | 111 | 0.596 | 0.370 |
41 | 0.000 | 2.723 | 115 | 0.038 | 0.817 |
42 | 0.000 | 2.104 | 119 | 0.335 | 0.625 |
44 | 0.000 | 1.200 | 121 | 0.046 | 0.518 |
51 | 0.000 | 1.995 | 122 | 1.577 | 0.677 |
52 | 0.000 | 0.808 | 123 | 1.177 | 0.892 |
61 | 0.000 | 1.462 | Average | 0.657 | 1.383 |
63 | 1.564 | 1.147 | Standard deviation | 0.779 | 1.224 |
71 | 1.024 | 0.866 | Variable coefficient | 1.185 | 0.885 |
72 | 2.217 | 0.767 |
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Xu, N.; Cheng, Y.; Xu, X. Using Location Quotients to Determine Public–Natural Space Spatial Patterns: A Zurich Model. Sustainability 2018, 10, 3462. https://doi.org/10.3390/su10103462
Xu N, Cheng Y, Xu X. Using Location Quotients to Determine Public–Natural Space Spatial Patterns: A Zurich Model. Sustainability. 2018; 10(10):3462. https://doi.org/10.3390/su10103462
Chicago/Turabian StyleXu, Ning, Yuning Cheng, and Xiaodong Xu. 2018. "Using Location Quotients to Determine Public–Natural Space Spatial Patterns: A Zurich Model" Sustainability 10, no. 10: 3462. https://doi.org/10.3390/su10103462
APA StyleXu, N., Cheng, Y., & Xu, X. (2018). Using Location Quotients to Determine Public–Natural Space Spatial Patterns: A Zurich Model. Sustainability, 10(10), 3462. https://doi.org/10.3390/su10103462