Unraveling the association between the urban polycentric structure and urban surface thermal environment in urbanizing China

Xu, Zhixi; Cai, Zhongliang; Su, Shiliang; Kang, Mengjun; Ge, Yong

doi:10.1016/j.scs.2021.103490

Cited by 12 publications

(3 citation statements)

References 70 publications

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“…After that, the "Raster Calculator" was applied for the estimation of SUHI and UTFVI values of different study periods. Therefore, an urban surface thermal variation study is more important for the identification of the variation of urban thermal comfort [18].…”

Section: Utfvi =mentioning

confidence: 99%

“…To attain sustainable and continued health growth, vegetation requires adequate hydration, rain, soil conditions and a reasonably comfortable temperature [17]. The surface urban heat island (SUHI) variation, also derived from LST data, and the effect of vegetation deforestation have also been identified [18]. The further development of buildings has increased in megacities, providing an avenue for future research on the resulting impacts on vegetation and forests [19].…”

Section: Introductionmentioning

confidence: 99%

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Assessment of Urban Green Space Dynamics Influencing the Surface Urban Heat Stress Using Advanced Geospatial Techniques

Halder

Bandyopadhyay

Al-Hilali³

et al. 2022

Agronomy

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Urban areas are mostly heterogeneous due to settlements and vegetation including forests, water bodies and many other land use and land cover (LULC) classes. Due to the overwhelming population pressure, urbanization, industrial works and transportation systems, urban areas have been suffering from a deficiency of green spaces, which leads to an increase in the variation of temperature in urban areas. This study investigates the conceptual framework design towards urban green space (UGS) and thermal variability over Kolkata and Howrah city using advanced remote sensing (RS) and geospatial methods. The low green space is located in the highly built-up area, which is influenced by thermal variations. Therefore, the heat stress index showed a high area located within the central, north, northwestern and some parts of the southern areas. The vegetated areas decreased by 8.62% during the ten years studied and the other land uses increased by 11.23%. The relationship between land surface temperature (LST) and the normalized difference vegetation index (NDVI) showed significant changes with R2 values between 0.48 (2010) and 0.23 (2020), respectively. The correlation among the LST and the normalized difference built-up index (NDBI) showed a notable level of change with R2 values between 0.38 (2010) and 0.61 (2020), respectively. The results are expected to contribute significantly towards urban development and planning, policymaking and support for key stakeholders responsible for the sustainable urban planning procedures and processes.

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Section: Utfvi =mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Assessment of Urban Green Space Dynamics Influencing the Surface Urban Heat Stress Using Advanced Geospatial Techniques

Halder

Bandyopadhyay

Al-Hilali³

et al. 2022

Agronomy

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“…The research results of some scholars have suggested that urban spatial structure has a significant impact on environmental quality and energy consumption (Guo et al, 2019) [31]. Among them, the multi-center spatial structure has a more balanced job-housing distribution (Chen et al, 2021;Liu et al, 2022) [32,33], and residents have less demand for commuting [34], giving rise to less environmental pollution (Xu et al, 2022) [35]. Nevertheless, some scholars hold that multi-center spatial structure may lead to urban sprawl and development (Bereitschaft and Debbage, 2013) [36], resulting in a large amount of smog and harmful gas emissions (Bai et al, 2019) [37] and thereby aggravating air pollution (Han et al, 2020) [38].…”

Section: Introductionmentioning

confidence: 99%

Impact of Heterogeneous Spatial Structure on Regional Innovation—From the Perspectives of Efficiency and Gap

Zou

Huang

2022

Sustainability

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Reasonable spatial system distribution is the prerequisite for the optimization of resource and spatial allocation and the coordinated development of the regional economy. Therefore, correctly identifying the impact of different types of spatial structures on scientific and technological innovation is an important way to promote the rational layout of regional spatial structures and enhance the strength of regional scientific and technological innovation. Based on the theory of regional spatial structure and panel data of 26 provinces and autonomous regions in China from 2005 to 2019, this paper tested the impact of regional spatial structure on innovation efficiency and gap by constructing the regional spatial structure index, the innovation efficiency index, and the innovation gap index. The research results show that: First, the agglomeration effect produced by a single-center spatial structure is conducive to improving the efficiency of scientific and technological innovation, whereas the spillover effect generated by a multi-center spatial structure is more favorable for narrowing the gap in scientific and technological innovation. Second, the single-center spatial structure is more suitable for provinces and cities in the western region with relatively low levels of economic development, whereas the multi-center spatial structure is more beneficial to the achievement of innovative and high-quality development in the eastern region. Third, the moderating effect analysis shows that with an increase in cultural diversity and inter-city distance, the partial effects of the single-center spatial structure on innovation efficiency present an “N” shape and an “inverted-U” shape, respectively, whereas the partial effects of the multi-center spatial structure on the innovation gap exhibit “inverted-U” shapes. This research not only provides theoretical support for the impact of regional spatial structure on innovation efficiency and gap but also offers empirical evidence for future regional development path choices.

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Contribution of urban functional zones to the spatial distribution of urban thermal environment

Chen

Yang

et al. 2022

Building and Environment

128

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Unraveling the association between the urban polycentric structure and urban surface thermal environment in urbanizing China

Cited by 12 publications

References 70 publications

Assessment of Urban Green Space Dynamics Influencing the Surface Urban Heat Stress Using Advanced Geospatial Techniques

Assessment of Urban Green Space Dynamics Influencing the Surface Urban Heat Stress Using Advanced Geospatial Techniques

Impact of Heterogeneous Spatial Structure on Regional Innovation—From the Perspectives of Efficiency and Gap

Contribution of urban functional zones to the spatial distribution of urban thermal environment

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