Abstract
Sustainable development of smart cities is a new trend of urban development in the world. The regional development of urban agglomerations is not balanced, which makes it difficult to achieve sustainable development of smart cities. The railway network plays an important role in building bridges between cities. In this paper, the emerging big data and deep learning methods are used to conduct in-depth analysis on the distribution data of enterprises in the Yangtze River Delta region during the past 40 years. What’s more, the connection and influence of railway development on urban agglomerations and among cities was explored. Such technologies as data capture, analysis, modeling and prediction can also be used for the sustainable development of other smart cities.
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