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Quick Sub-optimal Augmentation of Large Scale Multi-modal Transport Networks

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Complex Networks & Their Applications IX (COMPLEX NETWORKS 2020 2020)

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Abstract

With the recent and continuous growth of large metropolis, the development, management and improvement of their urban multi-modal transport networks become a compelling need. Although the creation of a new transport mode often appears as a solution, it is usually impossible to construct at once a full networked public transport. Therefore, there is a need for efficient solutions aimed at prioritizing the order of construction of the multiple lines or transport modes. Hence, the proposed work aims at developing a simple and quick-to-compute methodology aimed at prioritizing the order of construction of the lines of a newly designed transport mode by maximizing the network performance gain, as described by complex networks metrics. In a resilience context, the proposed methodology could also be helpful to support the rapid and quick response to disruptions by setting up or reinforcing an adapted emergency transport line (e.g., bus service) over a set of predefined itineraries.

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Correspondence to Elise Henry .

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Henry, E., Petit, M., Furno, A., Faouzi, NE.E. (2021). Quick Sub-optimal Augmentation of Large Scale Multi-modal Transport Networks. In: Benito, R.M., Cherifi, C., Cherifi, H., Moro, E., Rocha, L.M., Sales-Pardo, M. (eds) Complex Networks & Their Applications IX. COMPLEX NETWORKS 2020 2020. Studies in Computational Intelligence, vol 944. Springer, Cham. https://doi.org/10.1007/978-3-030-65351-4_18

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  • DOI: https://doi.org/10.1007/978-3-030-65351-4_18

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  • Online ISBN: 978-3-030-65351-4

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