Rail Transit Networks and Network Motifs: A Review and Research Agenda

Yunfang Ma, Jose M Sallan and Oriol Lordan
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Yunfang Ma: Department of Management, Universitat Politècnica de Catalunya, C/Colom 11, 08222 Terrassa, Spain
Oriol Lordan: Department of Management, Universitat Politècnica de Catalunya, C/Colom 11, 08222 Terrassa, Spain

Sustainability, 2024, vol. 16, issue 9, 1-21

Abstract: The railway plays an essential role in urban and intercity transport of goods and people. Intercity and urban rail transit infrastructures contribute to the economic and environmental sustainability of global economies. Those infrastructures can be modeled as complex networks, so that we can evaluate system properties of the network structure. This stream of research has focused on the topological analysis of global network structure, but little research exists that examines how local network structures affect system properties. The local structure of complex networks can be examined with network motif analysis, as those network motifs are the building blocks of networked systems. Nevertheless, there has been scarce attention given to local network properties in rail transit networks. We contribute to covering this gap in the literature with a literature review of motif analysis research and its application to weighted and unweighted rail transit networks, also covering the current state-of-the-art of network motif decomposition and analysis. We demonstrate that network motif analysis is not only applicable, but also beneficial for the design and planning of rail transit networks, enhancing their sustainability by improving efficiency, reducing environmental impact, and optimizing resource allocation. Based on our findings, we propose future research directions that involve applying motif analysis to enhance the sustainability features of both unweighted and weighted rail transit networks.

Keywords: rail transit; complex networks; motif analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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