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2 May 2023 A classification method of development stages in urban rail transit network
Zimu Li
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Proceedings Volume 12642, Second International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2023); 126420Z (2023) https://doi.org/10.1117/12.2674853
Event: Second International Conference on Electronic Information Engineering, Big Data and Computer Technology (EIBDCT 2023), 2023, Xishuangbanna, China
Abstract
The network structure and line operation have become increasingly complex with the continuous construction of the urban rail transit network (URTN). However, the traditional graph theory has challenges in meeting the abstraction and analysis. The complex network theory was used in this research. The topology analysis model, called Space S Model, was built based on the improved Space L Model. The database includes 56 URTNs around the world. The topology properties were collected. Then all URTNs were classified into two forms and three classifications by cluster analysis. The discriminant function based on properties was built and could evaluate the development of any URTN. The feasibility of the classification method was verified according to the analysis of the Nanjing Metro network.
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Zimu Li "A classification method of development stages in urban rail transit network", Proc. SPIE 12642, Second International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2023), 126420Z (2 May 2023); https://doi.org/10.1117/12.2674853
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KEYWORDS
Analytical research
Statistical analysis
Modeling
Transportation
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