Sustainable development is an important topic of urban research. The rational use of land resources is of great significance for urban development and is conducive to promoting regional governance and coordinated development. The purpose of this study was to construct an effective evaluation framework for urban land resources to maintain sustainable urban development. Taking the cities along the Jiangsu Section of the Beijing–Hangzhou Grand Canal as the research object, this study constructed an evaluation system for the sustainable use of land resources including the dimensions of economic level, social development, and environmental resources. The statistical data for 2010, 2015, and 2020 were selected to comprehensively calculate and evaluate the level of sustainable use of land resources in the study area via the analytic hierarchy process (AHP)-entropy combined weight method, which combines the analytic hierarchy process and the entropy weight method. According to the research results, the sustainable use of land resources in the study area presented an overall upward trend from 2010 to 2015, and an overall downward trend from 2015 to 2020. Overall, the study area was in a critically sustainable stage, although the annual change rate of the level of sustainable use of land resources showed significant fluctuations and exhibited a spatial pattern of progressive increase from north to south. The cities in southern Jiangsu were in the initially sustainable and basically sustainable stages; those in central Jiangsu were in the critically sustainable and initially sustainable stages; and those in northern Jiangsu were in the unsustainable and critically sustainable stages. This study proposed a scientific and effective evaluation method for cities along the Grand Canal to explore the efficient, sustainable use of land resources in the future. The evaluation framework constructed on this basis can serve as an important reference for urban governance and is expected to guide the sustainable use and development of land resources for other cities of the same type.

The phrase ‘green cities’ refers to an idealised and modernised urban development model that features harmonious development among the environment, ecology, society, culture, and the inhabitants of a city. Harmonious humanistic relations and green pathways have become predominant models in modern urban development. Green city construction has drawn considerable attention. However, the construction and development of green cities involves numerous problems. The various needs of different populations must be coordinated to foster the green development of a city. In this study, the analytic hierarchy process was used to classify factors related to green city construction into different levels. The scope of the empirical verification was eight cities alongshore the drainage area of the Jiangsu section of the Beijing–Hangzhou Canal. Data from 2009, 2014, and 2019 were selected for analysis. Both quantitative and qualitative analyses were performed using these data, and standards were established to serve as a reference for city administrators in the process of decision-making regarding green city construction.

This paper presents a novel cooperation optimization formulation for the multiple-input multiple-output (MIMO) radar and MIMO communication system spectrum coexistence. To optimize the communication rate and the radar filtered interference power (FIP) simultaneously, the radar transmit-receive beamforming and communication codebook are jointly optimized with the constrained weighted sum design. To solve the nontrivial multi-variables problem, an alternating iteration is derived that allows to decompose the non-convex optimizations into three suitably designed sub-problems, whose solutions are provided in closed-form. Finally, numerical results are provided to illustrate the merits of the proposed approach and validate the theoretical analyses.

The importance of elderly care institutions in city public service planning has increased due to rapid population aging. This study used the point-of-interest coordinates of elderly care institutions for kernel density,hotspot analyses and Getis–Ord Gi* Analysis. The spatial distribution of elderly care institutions in Meizhou, China, was analyzed, and related hotspots were identified. Through the analysis of computer software, it can be indicated that: (i) the distribution of elderly care institutions in Meizhou City shows agglomeration characteristics, and the overall distribution shows the characteristics along residential areas, traffic arteries and commercial centers. (ii) The hot spots of nursing institutions in Meizhou City are prominent, forming two significant hot spots and almost no cold spots. The findings of this study can be used as a reference by those involved in optimizing the spatial layout of elderly care institutions in cities.