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      Urban “Three States” Human Settlements High-Quality Coordinated Development

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      Buildings
      MDPI AG

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          Abstract

          The high-quality interaction of urban reality human settlements (RHSs), pseudo-human settlements (PHSs) and image human settlements (IHSs) can better explain the constantly updated human settlements phenomena under the human–land-relationship regional system. At present, the basic connotation, empirical exploration and optimized path of high-quality and coordinated development of “three states” of human settlements are not clear. In this paper, we take 14 prefecture-level cities in Liaoning Province as case areas and empirically explore their spatial patterns, coupling and coordination spatial relationships, driving mechanisms and development paths by using a coupling and coordination model, the entropy weight method and the geographic detector method. The results indicate that: (1) The spatial pattern of high-quality development of “three states” of human settlements varies significantly in different regions, forming a “dual-core” and “hump” spatial structure. (2) RHSs, PHSs and IHSs are not completely coordinated, forming “high–high–high” and “low–low–low” types, represented by Shenyang and Fuxin. (3) The high-quality coordinated development of “three states” of human settlements is driven by economic conditions, population conditions, entertainment systems and other factors. The population system, the social communication system and the support system, respectively, lead the high-quality coordinated development of RHSs, PHSs and IHSs.

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          Most cited references58

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          A framework for addressing urban heat challenges and associated adaptive behavior by the public and the issue of willingness to pay for heat resilient infrastructure in Chongqing, China

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            Revealing the benefits of entropy weights method for multi-objective optimization in machining operations: A critical review

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              Spatial Variability and Temporal Heterogeneity of Surface Urban Heat Island Patterns and the Suitability of Local Climate Zones for Land Surface Temperature Characterization

              This study investigated monthly variations of surface urban heat island intensity (SUHII) and the applicability of the local climate zones (LCZ) scheme for land surface temperature (LST) differentiation within three spatial contexts, including urban, rural and their combination, in Shenyang, China, a city with a monsoon-influenced humid continental climate. The monthly SUHII and LST of Shenyang were obtained through 12 LST images, with one in each month (within the period between 2018 and 2020), retrieved from the Thermal InfraRed Sensor (TIRS) 10 in Landsat 8 based on a split window algorithm. Non-parametric analysis of Kruskal-Wallis H test and a multiple pairwise comparison were adopted to investigate the monthly LST differentiations with LCZs. Overall, the SUHII and the applicability of the LCZ scheme exhibited spatiotemporal variations. July and August were the two months when Shenyang underwent strong heat island effects. Shenyang underwent a longer period of cool than heat island effects, occurring from November to May. June and October were the transition months of cool–heat and heat–cool island phenomena, respectively. The SUHII analysis was dependent on the definition of urban and rural boundaries, where a smaller rural buffering zone resulted in a weaker SUHI or surface urban cool island (SUCI) phenomenon and a larger urban area corresponded to a weaker SUHI or SUCI phenomenon as well. The LST of LCZs did not follow a fixed order, where in July and August, the LCZ-10 (Heavy industry) had the highest mean LST, followed by LCZ-2 (Compact midrise) and then LCZ-7 (Lightweight low-rise). In comparison, LCZ-7, LCZ-8 (Large low-rise) and LCZ-9 (Sparsely built) had the highest LST from October to May. The LST of LCZs varied with urban and rural contexts, where LCZ-7, LCZ-8 and LCZ -10 were the three built LCZs that had the highest LST within urban context, while LCZ-2, LCZ-3 (Compact low-rise), LCZ-8, LCZ-9 and LCZ-10 were the five built LCZs that had the highest LST within rural context. The suitability of the LCZ scheme for temperature differentiation varied with the month, where from July to October, the LCZ scheme had the strongest capability and in May, it had the weakest capability. Urban context also made a difference to the suitability, where compared with the whole study area (the combination of urban and rural areas), the suitability of built LCZs in either urban or rural contexts weakened. Moreover, the built LCZs had a higher level of suitability in an urban context compared with a rural context, while the land-cover LCZs within rural had a higher level of suitability.
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                Author and article information

                Journal
                Buildings
                Buildings
                MDPI AG
                2075-5309
                February 2022
                February 04 2022
                : 12
                : 2
                : 178
                Article
                10.3390/buildings12020178
                94226d0f-568c-467f-a558-b790a19da934
                © 2022

                https://creativecommons.org/licenses/by/4.0/

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