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The rational allocation and efficient utilization of land resources have become an important issue facing urban development, and the approval of construction land is the core link of land resource management, and its management efficiency is directly related to the effective use of land resources and the sustainability of urban development. This paper sorts out the relevant theories and practices of land use approval management, explores the analysis and evaluation process of land use approval management efficiency in megacities, constructs a comprehensive analysis and evaluation system for land use approval management efficiency, and conducts empirical research on the approval projects in Shanghai in 2023, extracts 86 projects from 9 approval units, and analyzes them by means of system comparison, database technology verification, and file review, and summarizes 30 items with a total of 360 specific approval problems based on the inspection results, integrates the results of many years of work practice, and summarizes 30 items with a total of 360 specific approval problems. This paper analyzes the serious deduction items and conducts research on the improvement path to adapt to the actual management of Shanghai, such as strengthening the application of the evaluation model for the efficiency of land use approval management, aiming to explore its impact on the standardized approval process, land use efficiency and sustainable urban development, and provide reference and enlightenment for the approval and supervision of other urban construction land. [ABSTRACT FROM AUTHOR]

Due to the diversified behavioral characteristics and regular pattern of moving objects, the trajectory data generated by these objects shows obvious uneven distribution feature in time and space, which may lead to worse performance for trajectory data indexing and querying. However, the existing trajectory data indexing methods rarely consider this problem. In this paper, a temporal-spatial distribution based indexing and querying method is proposed. In the method, Geohash code is introduced and pre-partitioned spatially by utilizing the temporal-spatial similarity of the trajectory data distribution. Then, we use the pre-partitioned Geohash code, partition number and the trajectory data timestamp to compose the index structure. With this index structure, a storage model based on HBase and a query algorithm based on Geohash partition are designed respectively. The empirical study using real trajectory dataset shows that the method improves the spatiotemporal query performance of trajectory data by comparing with the Extend_HGrid and ST-hash methods, and effectively reduces the number of sub-queries during query. [ABSTRACT FROM AUTHOR]