Showing papers by "Jun Yang published in 2020"
TL;DR: Wang et al. as mentioned in this paper explored the urban spatial form at the community scale using spatial autocorrelation and spatial regression methods to explore 2003-2018 spatial and temporal differentiation characteristics and driving factors of Land Surface Temperature (LST).
183 citations
TL;DR: Wang et al. as discussed by the authors used multi-source datasets, including Luojia1-01 nighttime light imagery, Landsat-8, Sentinel-2 and building vector data, to analyze the thermal characteristics of different local climate zones (LCZs).
145 citations
TL;DR: Wang et al. as mentioned in this paper investigated changes in accessibility between urban areas and ice-snow tourist destinations after implementation of high-speed rail in northeastern China, and data on transportation networks, destinations, and economic factors were used to compute weighted mean travel times and daily accessibility, and a tourism-economy linkage model was utilized.
95 citations
TL;DR: In this article, a case study of the Ganjingzi District (GJZ) of Dalian City, China, was performed, with multi-source data and spatial analysis methods being jointly used to explore the spatiotemporal characteristics and driving factors of multi-temporal LSTs.
89 citations
TL;DR: In this article, the authors used multi-source data and spatial analysis methods to obtain the thermal environment characteristics of each city based on Local Climate Zones (LCZs) and found that the distribution of buildings and the relief slope affects land surface temperature (LST).
Abstract: The concept of Local Climate Zones (LCZs) are effective tools to quantify the urban heat island effect. However, the study of LCZs mainly focuses on the meso-micro scale, and lacks regional perspective. In order to explore the thermal environment laws of different sized cities, we selected the Pearl River Delta urban agglomerations as the study area, and used multi-source data and spatial analysis methods to obtain the thermal environment characteristics of each city based on LCZs. Our study revealed that the distribution of buildings and the relief slope affects land surface temperature (LST). Additionally, the proportions of various LCZs are different in cities of different sizes; each city had a temperature difference in the LCZs. The highest temperature among the built LCZs was in LCZ 7 (Industry; 21.810 °C), whereas the temperature of LCZ A (Dense trees) was the lowest (15.670 °C), and larger cities had more high-temperature LCZs. In cities of different sizes, the temperature of LCZs showed a hierarchy effect, i.e., super cities > megacities > type I large cities > type II large cities. Therefore, in order to alleviate the urban heat island effect, it is of great significance to discover the thermal environment characteristics in cities of different sizes.
89 citations
TL;DR: In this article, the authors used the normalized difference vegetation index (NDVI), land surface temperature (LST), and land cover data to determine spatiotemporal patterns in vegetation phenology with respect to LST along the urban-rural gradient (URG) in China's coastal Dalian subprovince, with a focus on the main city of Dalian and three sub-cities (Pulandian, Wafangdian, and Zhuanghe).
39 citations
TL;DR: Based on the traditional numerical simulation of ventilation corridor analysis, a new approach for ventilation corridor recognition based on circuit theory was proposed in this article, where connotations of resistance, current, and voltage in the simulation of urban ventilation environment were explained separately.
34 citations
TL;DR: In this article, an integrated perspective was adopted that is combined with the difference-in-differences method to measure the effects of the strategy on economic growth and social development in Northeast China.
Abstract: Measuring the economic and social effects of the Northeast China Revitalization Strategy is critical to addressing regional sustainable development in China. To shed light on this issue, an integrated perspective was adopted that is combined with the difference-in-differences method to measure the effects of the strategy on economic growth and social development in Northeast China. The findings suggest that the strategy has significantly improved regional economic growth and per-capita income by increasing its gross domestic product (GDP) and GDP per capita by 25.70% and 46.00%, respectively. However, the strategy has significantly worsened the regional employment in the secondary industry of the region. In addition, the strategy has not significantly improved regional infrastructural road, education investment or social security, and has had no significant effect on mitigating regional disparity. In addition, the policy effects are highly heterogeneous across cities based on city size and characteristics. Therefore, there is no simple answer regarding whether the Northeast China Revitalization Strategy has reached its original goals from an integrated perspective. The next phase of the strategy should emphasize improving research and development (R&D) and human capital investments based on urban heterogeneity to prevent conservative path-dependency and the lock-in of outdated technologies.
23 citations
7 citations
TL;DR: In this article, multisource data, spatial density analysis, and a gravity model were used to evaluate and analyze differentiation and controls of human settlement locations in Jinan, China.
Abstract: Multisource data, spatial density analysis, and a gravity model were used to evaluate and analyze differentiation and controls of human settlement locations in Jinan, China The results indicate th
6 citations
TL;DR: In this paper, an extended two-stage dynamic game model is proposed to analyze the dynamic game scenarios and steel market stability in China. But the model is not suitable for the case of large-scale enterprises.
Abstract: At present, the problems of homogenization and low quality in China’s iron and steel industry are particularly prominent and the ability of the enterprises to cope with change is insufficient. Adopting product differentiation strategy and dynamic adjustment strategy can allow steel enterprises and the industry to better adapt to future changes. By introducing the product differentiation degree (substitution coefficient) and the bounded rationality strategy to simulate these two strategic means, this paper constructs an extended two-stage dynamic game model to analyse the dynamic game scenarios and steel market stability in China. As new findings, we report the following: (1) The system is more likely to fall into an unbalanced state when multiple enterprises adopt the policy of dynamic output adjustment simultaneously. (2) Enterprises with large output and small output have different output adjustment policies. When enterprises with big-scale output adopt a bit larger adjustment policies, enterprises with small output will be strongly impacted, and the available adjustment space will be sharply compressed. (3) The gradual increase in the difference between products reduces the stability of the market. (4) When product differentiation and bounded rationality strategies coexist, the steel market may fall into an unbalanced state when the degree of product difference increases excessively and the enterprise adopts more drastic output adjustment policies. Therefore, there are pros and cons to product differentiation strategy and bounded rationality adjustment strategy. When each steel oligopoly enterprise formulates a production plan, it needs to comprehensively consider the output changes of the other enterprises and carefully weigh the strategic issues.