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This paper aims at the economic development level of eight urban areas in S city and compares the economic development level of each urban area from 13 basic indicators in four aspects: economic benefit, innovative development, people\u2019s life, and sustainable development. This paper constructs a three-layer BP neural network model, scores the economic development level of each urban area, and puts forward a reasonable plan for the future urban construction of S city according to the comprehensive score. The results show that this research model has high accuracy in evaluating the economic development level of each urban area, which is consistent with the actual development situation. Therefore, the analytical model established in this paper utilizes the BP algorithm to precisely assess the urban economic development level. It offers optimized strategies for collaborative governance in the context of a big data-driven urban digital economy. 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