Assessing Urban Green Space Distribution in a Compact Megacity by Landscape Metrics

Liang, Huilin; Chen, Di; Zhang, Qingping

doi:10.3846/16486897.2016.1210157

Cited by 29 publications

(19 citation statements)

References 44 publications

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“…Landscape metrics are often used to detect and quantify the spatiotemporal changes in landscape composition and configuration [34,47,48]. In this study, we selected eight landscape metrics including five class-level metrics and three landscape-level metrics by referencing earlier work reported in many research (Table 2) [44,49]. They are used to reflect fragmentation, connectivity and diversity of landscape patterns [50].…”

Section: Landscape Metricsmentioning

confidence: 99%

Spatiotemporal Dynamics of Urban Green Space Influenced by Rapid Urbanization and Land Use Policies in Shanghai

Song

Zhang

Feng

et al. 2021

Forests

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Urbanization has led to the continuous expansion of built-up areas and the ever-growing urban population, threatening the quantity and quality of urban green space (UGS). Exploring the spatiotemporal variations of UGS is substantially conducive to the formulation of land-use policies to protect the ecosystems. As one of the largest megacities all around the world, Shanghai has experienced rapid urbanization in the past three decades. Insights into how UGS changes in response to urbanization and greening policies are essential for guiding sustainable urban development. This paper employed integrated approaches to characterize the changing patterns and intensities of green space in Shanghai, China from 1990 to 2015. The spatiotemporal dynamics of the UGS pattern were derived through four main methods: green space ratio, dynamic change degree (DCD), transition matrix and landscape metrics. The results showed that Shanghai’s green space decreased from 84.8% in 1990 to 61.9% in 2015 while the built-up areas increased from 15.0% to 36.5%. Among the green space sub-types, farmland was largely encroached and fragmented by urban sprawl, especially in the Outer Ring Expressway and Suburban Ring Expressway belts of the city. About 1522 km2 of the green space has transferred into built-up areas, followed by farmland, waterbody, forest, and grassland in descending order. The 2000–2010 period witnessed the strong urban expansion and dramatic changes in UGS, but then the change around 2015 turned down and stable. The landscape pattern metrics showed that the entire green space in Shanghai was growingly fragmented and isolated during the past 25 years. Combined with the green space-related planning and policies issued in 1990–2015, the results revealed that both rapid urbanization and greening policies accounted for the spatiotemporal dynamics of UGS. Based on the results, some implicants to new urban planning and policies of Shanghai were highlighted.

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Section: Landscape Metricsmentioning

confidence: 99%

Spatiotemporal Dynamics of Urban Green Space Influenced by Rapid Urbanization and Land Use Policies in Shanghai

Song

Zhang

Feng

et al. 2021

Forests

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“…The clustering analysis employed in this paper is a method to collect data on a similar basis for classification by comparison, and the difference between clustering and general classification is that the classes demanded by clustering are unknown, which often leads to original conclusions (Nagpal, Jatain, & Gaur, 2013). In previous studies of this field, some scholars employed clustering analysis to reduce data and analyze the horizontal spatial measurement of landscape (Liang, Chen, & Zhang, 2017), and some adopted cluster analysis to make a detailed division of specific spatial types (Wang, Deguchi, Minoura, & Sakai, 2012). The common ground is that useful information can be mined from complex and huge data of landscape architecture, a comprehensive interdisciplinary field.…”

Section: Applicability and Suitability Of The Proposed Methodsmentioning

confidence: 99%

Disaster Consequence Mitigation and Evaluation of Roadside Green Spaces in Nanjing

Fei

Jin

JieNan

et al. 2019

Journal of Environmental Engineering and Landscape Management

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The extensive layout of roadside green spaces make them important green disaster mitigation nodes in high-density areas of any city; hence, further improvements in their disaster mitigation functions would make the urban disaster prevention system more effective. In the present research, different types of roadside green spaces in the Gulou district of Nanjing were identified to establish a highly efficient urban disaster refuge green space system. A total of 35 built-up roadside green spaces were employed as the study site, and for field investigation and statistical analysis, 21 factors were selected from the aspects of spatial form, functional facilities, and surrounding environment. According to their disaster mitigation abilities, cluster analysis classified these roadside green spaces into four categories: complete type, potential type, centralized type, and broad type. Finally, by analyzing the characteristics of different types of roadside green spaces, corresponding optimization strategies were proposed. In comparison to previous investigations, our study focused on the quantitative evaluation of disaster mitigation and risk protection function of roadside green spaces. In the future, the obtained results will serve as important scientific references to the planning and construction of green spaces in high-density areas of Nanjing, China.

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“…Urbanization is increasing worldwide with more and more people moving to expanding cities [1]. Within these cities the provision of open spaces is limited and unevenly distributed, enhancing the need to provide green infrastructure [2][3][4]. To connect these isolated patches linear structures that function as corridors between them are important [2,5,6].…”

Section: Introductionmentioning

confidence: 99%

The Function of A Set-Aside Railway Bridge in Connecting Urban Habitats for Animals: A Case Study

2020

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As elements of green infrastructure, railway embankments are important corridors in urban environments connecting otherwise isolated habitat fragments. They are interrupted when railways cross major roads. It is not known whether dispersing animals use railway bridges to cross roads. We examined the function of a set-aside iron-steel railway bridge crossing a 12 m wide road with high traffic density in Basel (Switzerland) for dispersing animals. We installed drift fences with traps on a single-track, 32 m long and 6 m wide railway bridge with a simple gravel bed, and collected animals daily for 9 months. We captured more than 1200 animals crossing the bridge: small mammals, reptiles and amphibians as well as numerous invertebrates including snails, woodlice, spiders, harvestmen, millipedes, carabids, rove beetles and ants. For some animals it is likely that the gravel bed, at least temporarily, serves as a habitat. Many animals, however, were apparently dispersing, using the bridge to cross the busy road. We found season- and daytime-dependent differences in the frequency the bridge was used. Our findings indicate an important function of a set-aside railway bridges for connecting urban habitats. As most animal dispersal was recorded during the night, railway bridges with no (or little) traffic during the night may also contribute to animal dispersal. As important elements of green infrastructure, set-aside railway bridges should be considered in future urban planning.

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Assessing Urban Green Space Distribution in a Compact Megacity by Landscape Metrics

Cited by 29 publications

References 44 publications

Spatiotemporal Dynamics of Urban Green Space Influenced by Rapid Urbanization and Land Use Policies in Shanghai

Spatiotemporal Dynamics of Urban Green Space Influenced by Rapid Urbanization and Land Use Policies in Shanghai

Disaster Consequence Mitigation and Evaluation of Roadside Green Spaces in Nanjing

The Function of A Set-Aside Railway Bridge in Connecting Urban Habitats for Animals: A Case Study

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