Improving the level of intensive land use is one of the important measures for promoting high-quality urban development. Existing studies are mostly based on the meso or macro scale data of administrative boundaries or a central urban area to assess and measure the level of intensive land use, and there is a lack of effective research on the measurement of the level of intensive land use and its spatial heterogeneity based on a higher spatial resolution, which weakens the spatial relevance of the configuration of planning strategies. Based on this, this study takes the built-up areas of 59 counties in Hubei Province as the research scope, measures the land intensive utilization level of each grid based on the spatial resolution of 1 km×1 km, identifies the grids with low land intensive level and determines the inefficient counties by using the quartile method. It is found that 15 of the 59 counties in Hubei Province are inefficient in terms of intensive land use, mainly distributed in the south and north of Hubei Province, and the inefficient counties in the south show the characteristics of localized concentration and fragmentation. Secondly, considering the spatial heterogeneity of the intensive land use level, this study calculates the intensive land use level of each grid within a county, uses Anselin Local Moran’s I to identify the clustering characteristics of high-efficiency land use and low utility land within the inefficient counties, and categorizes the 59 counties into three types: high-level agglomeration type, low-level agglomeration type, and discrete level of agglomeration type. As far as the planning countermeasures for different types of counties are concerned, the high-level agglomeration type of counties should focus on the differentiated optimization of the sub-districts in the old urban areas. The old city is divided into core business areas, traditional residential areas, cultural protection areas and other functional areas, and rationally delineate the control units and formulate specific control indexes; low-level agglomerative counties have concentrated and continuous inefficient land in the local space, and in the emphasis on improving the overall level of intensive utilization of the land in the county at the same time, it is necessary to focus on strengthening the efficiency of the land use of the low level of agglomerative areas, and to make clear the functional positioning and classified implementation of control of the different types of districts; the discrete level of agglomeration type of counties do not have local continuous high level areas or low level areas, can be based on the county’s different development stages and geographic importance, determine the priority for time-sharing control, and select a representative single-pointparcel of land as a breakthrough for development and construction. Overall, this study adopts a high-precision spatial grid method to identify the comprehensive land intensive utilization level of urban areas, which is different from the administrative district scale often used in the past, and is conducive to revealing the spatial differentiation characteristics of the land intensive utilization level within the urban areas, which provides a scientific basis for the government and planning practitioners to understand the level of intensive utilization of land at different geographic locations within the urban areas, and put forward planning countermeasures in a targeted manner. At the same time, proposing planning countermeasures based on the classification of counties and cities is conducive to highlighting the common characteristics of different types of counties and cities, which makes the formulated policies applicable to a larger number of counties and cities with similar characteristics in other regions, and provides references for spatial planning.