Over the past years, new urbanization in China has accelerated steadily and led to a continuous increase in ecological-environmental (eco-environmental) stress. A deep understanding of the coupling relationship between new urbanization and ecological-environmental stress is essential to benefiting the urban management in making decisions. How to realize the coordinated development of urbanization and the eco-environment is not only the key issue in world economic and social development, but has also been a hot topic of research in recent years. However, the quantitative relationship and the interaction mechanism between the new urbanization and ecological-environmental stress are still unclear. To fill this gap, this study constructed comprehensive assessment indicators for evaluating new urbanization and eco-environmental stress systems to accomplish the following objectives. We aimed to identify the spatial and temporal pattern of coupling and coordinating degree between new urbanization and eco-environmental stress in China during the period of 2005–2016. The degrees of coupling and coordination of new urbanization and eco-environmental stress systems in China in 2005, 2010, and 2016 were calculated at the provincial level. The degrees of coupling and coordination have achieved stable and continuous improvement from 0.389 to 0.484. We further aimed to evaluate the regional coupling and estimate the stage of urbanization at which an optimal outcome could be achieved in order to ensure high-quality urbanization in China. According to the model of coupling and coordination degree, this paper divided the Chinese territory into four area types: well coordination, middle coordination, primary coordination, and reluctance coordination, and about 35% of the provinces belonged to the well and middle coordination types. Lastly, this paper analyzed the spatial pattern and cluster mode of the coupling coordination of new urbanization and eco-environmental stress systems by using ArcGIS and GeoDa. The analysis implied that coupling coordination existed with obvious regional disparity. Moreover, the degrees of coupling coordination of the developed east coastal and middle area were generally higher than those of the undeveloped west area. The findings indicate that for different regions, the reluctance coordination and primary coordination subclass regions should accelerate to realize green transformation, improve the industrial structure, and strengthen the environmental law-enforcing supervision. However, we could not conduct an internal structural analysis. Future research will focus on conducting an internal structural analysis and an element system metrics analysis.
With increasing penetration and improving fast charging technologies, Plug-in Electric Vehicles (PEV) exert a disruptive influence on power delivery systems. The impulsive and highpower-density characteristics of PEV make conventional assessment methods of load impact unsuitable. This paper proposes an integrated method to investigate the long-term impact of PEV charging on temporal response and depreciation of grid assets in sub-transmission and distribution grid levels (below 69kV). Compared to conventional methods, the proposed method embeds dynamical system models of grid assets in Time-Series (TS) analysis and captures stochastic charging behavior through Monte-Carlo simulation, promising more robust and accurate assessment. Under the proposed method, the Total Cost of Ownership (TCO) of grid assets formulation is re-established. The results of this paper will enable utilities to quantify the capital and operation cost of grid assets induced under various PEV's penetration level and during any time span of interest.
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