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Taking Linyi City as the research area, based on the Open Street Map road data and combined with high score remote sensing images, the urban traffic network is extracted, and the spatial information of the company, enterprise, shopping, catering and other elements is determined at the same time, and the economic related attribute information is evaluated to build the Linyi traffic network dataset. Combining network analysis models such as shortest path and OD cost matrix, the accessibility analysis and evaluation index system is established, and the overall road traffic convenience of Linyi urban area is analyzed and evaluated. The results show that the normalized accessibility index of Lanshan Street and Jiuqu Street in Linyi City is significantly higher than that of other regions, indicating that the road traffic network in this region needs further improvement. On the whole, the accessibility index of the northwest southeast direction of Linyi urban area is significantly lower than that of the northeast southwest direction, which indicates that the northeast southwest direction needs to further investigate the spatial layout of residential areas and functional areas, and should give priority to the design and improvement of the traffic network in this area.
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Lyu et al. (2024) studied this question.
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