Impacts of Urban Green Space on Land Surface Temperature from Urban Block Perspectives

An, Hongmin; Cai, Hongyan; Xu, Xinliang; Qiao, Zhi; Han, Dongrui

doi:10.3390/rs14184580

Cited by 20 publications

(9 citation statements)

References 77 publications

(151 reference statements)

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“…The landscape pattern in different parks can also provide various degrees of influence on LST. As previous studies mentioned in the suggestions for urban management before, increasing perimeter, area [ 38 , 100 ], morphological complexity [ 15 ], landscape diversity, and plant community diversity within some parks can reduce surface temperature [ 47 , 89 ], which is the same as our proposal. It is worth noting that Our work summarized some particular transformation models for parks with low cooling impacts by restructuring the landscape, modifying the size and position of landscape types, adjusting the patch density and park layout, etc.…”

Section: Discussionsupporting

confidence: 79%

“…Increasing the quantity of vegetation is thus the principal focus of the park’s rehabilitation [ 99 ]. Reducing the proportion of impervious and bare land in the parks [ 50 , 100 ], bolstering the planting of vegetation on the bare surface, and making the sparse vegetation gradually dense through vegetation maintenance may be an effective way that is less noticed by previous studies.…”

Section: Discussionmentioning

confidence: 99%

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Discover the Desirable Landscape Structure of Urban Parks for Mitigating Urban Heat: A High Spatial Resolution Study Using a Forest City, Luoyang, China as a Lens

Zhang

Yun

Song

et al. 2023

IJERPH

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Urban parks can mitigate the urban heat island (UHI) and effectively improve the urban microclimate. In addition, quantifying the park land surface temperature (LST) and its relationship with park characteristics is crucial for guiding park design in practical urban planning. The study’s primary purpose is to investigate the relationship between LST and landscape features in different park categories based on high-resolution data. In this study, we identified the land cover types of 123 parks in Luoyang using WorldView-2 data and selected 26 landscape pattern indicators to quantify the park landscape characteristics. The result shows that the parks can alleviate UHI in most seasons, but some can increase it in winter. While the percentage of bare land, PD, and PAFRAC have a positive impact on LST, AREA_MN has a significant negative impact. However, to deal with the current urban warming trend, a compact, clustered landscape configuration is required. This study provides an understanding of the major factors affecting the mitigation of thermal effects in urban parks (UP) and establishes a practical and feasible urban park renewal method under the idea of climate adaptive design, which provides valuable inspiration for urban park planning and design.

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Section: Discussionsupporting

confidence: 79%

Section: Discussionmentioning

confidence: 99%

Discover the Desirable Landscape Structure of Urban Parks for Mitigating Urban Heat: A High Spatial Resolution Study Using a Forest City, Luoyang, China as a Lens

Zhang

Yun

Song

et al. 2023

IJERPH

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“…Urban blue-green infrastructure is an important part of urban infrastructure [58][59][60], which includes water systems, greenways, wetlands, and forests. It is a crucial aspect affecting the thermal environment of the city, influencing urban spatial layout, and increasing urban resilience [61,62]. Although the index system we constructed includes some blue-green infrastructure because cities at the prefecture level and above include different provinces and regions with different natural, economic, and social development conditions and obvious development differentiation, data on certain blue-green infrastructure indicators are difficult to obtain for most cities at the municipal scale.…”

Section: Plos Onementioning

confidence: 99%

Dynamic evolution of urban infrastructure resilience and its spatial spillover effects: An empirical study from China

et al. 2023

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Urban infrastructure resilience is an important perspective for measuring the development quality of resilient cities and an important way to measure the level of infrastructure development. This paper uses the kernel density estimation, exploratory spatial data analysis, and spatial econometric models to analyze the characteristics of dynamic evolution and the spillover effects of the infrastructure resilience levels in 283 prefecture-level and above cities in China from 2010 to 2019. Our results are as follows. (1) The overall level of urban infrastructure resilience increased. The eastern region had a higher level than the national average. In contrast, the central, western and north-eastern regions had a slightly lower level than the national average. (2) The areas with high and higher resilience levels were mostly cities with more developed economic and social conditions in Eastern China. The areas below moderate resilience levels show a certain degree of clustering and mainly include some cities in Central, Western, and Northeast China. (3) The national level of urban infrastructure resilience shows significant spatial clustering characteristics, and the spatial pattern from coastal to inland regions presents a hotspot-subhotspot-subcoldspot-coldspot distribution. (4) There is a differential spatial spillover effect of national urban infrastructure resilience, which is gradually strengthened under the role of the economy, financial development, population agglomeration and government funding and weakened under the role of urbanization, market consumption and infrastructure investment. By exploring the dynamic evolution of infrastructure resilience in cities at the prefecture level and above and its spatial spillover effects, we provide a scientific basis for avoiding the siphoning effect among cities, improving the level of infrastructure resilience, and guiding the construction and development of resilient cities.

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“…In addition, the data on the administrative divisions of China's prefecture-level cities used to produce the thematic maps came from the Data Center for Resources and Environmental Sciences of the Chinese Academy of Sciences(RESDC). Some scholars used the architectural data, meteorological data and GF1 images provided by this database to study the influence of different urban forms on urban surface temperature in Beijing and Guangzhou [22][23][24]. The above articles provide good data source and method basis for the work of map editing and data analysis in this paper.…”

Section: Data Sourcesmentioning

confidence: 99%

Characteristics and evolution of knowledge innovation network in the Yangtze River Delta urban agglomeration——A case study of China National Knowledge Infrastructure

Gao

2023

PLoS ONE

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With the development of economic globalization, urban agglomerations have become growth poles and core areas of economic development. By building knowledge innovation networks in urban agglomerations, we can effectively improve the strength of inter-city knowledge innovation links and better realize the integrated and synergistic development of the region. This study selected core cities in the Yangtze River Delta urban agglomeration as the study area, constructed the knowledge innovation network based on inter-city dissertation cooperation data from 2010 to 2020, and analyzed the characteristics and evolution of its knowledge network by combining social network analysis and geospatial analysis. The research results show that: (1) with changes in policies and investment in scientific research and innovation, intra-regional thesis cooperation in the Yangtze River Delta urban agglomeration has been increasing and the scale of the knowledge innovation cooperation network is growing; (2) in addition to the core cities radiating innovation resources outward to drive the development of other node cities, other cities are continuously improving their own innovation capabilities, taking the initiative to strengthen knowledge innovation cooperation with core cities and enhancing their own position in the network; (3) there are no longer isolated cities within the Yangtze River Delta urban agglomeration, and a multi-core knowledge network structure centered on Shanghai, Nanjing, Hangzhou, and Suzhou has initially formed, but the network is still spatially heterogeneous; (4) there are still problems within the Yangtze River Delta urban agglomeration such as uneven development of knowledge innovation and low participation of peripheral cities, which need to be addressed jointly by all regions. The article concludes with some suggestions for countermeasures to provide a reference for the Yangtze River Delta urban agglomeration to continuously strengthen intra-regional knowledge cooperation in the future, enhance regional competitiveness, and ultimately achieve synergistic development among cities.

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Impacts of Urban Green Space on Land Surface Temperature from Urban Block Perspectives

Cited by 20 publications

References 77 publications

Discover the Desirable Landscape Structure of Urban Parks for Mitigating Urban Heat: A High Spatial Resolution Study Using a Forest City, Luoyang, China as a Lens

Discover the Desirable Landscape Structure of Urban Parks for Mitigating Urban Heat: A High Spatial Resolution Study Using a Forest City, Luoyang, China as a Lens

Dynamic evolution of urban infrastructure resilience and its spatial spillover effects: An empirical study from China

Characteristics and evolution of knowledge innovation network in the Yangtze River Delta urban agglomeration——A case study of China National Knowledge Infrastructure

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