A unified spatial multigraph analysis for public transport performance.

Scientific Reports
Yaoli WangYu Liu

Abstract

Public transport performance not only directly depicts the convenience of a city's public transport, but also indirectly reflects urban dwellers' life quality and urban attractiveness. Understanding why some regions are easier to get around by public transport helps to build a green transport friendly city. This paper initiates a new perspective and method to investigate how public transport network's morphology contributes significantly to its performance. We investigate the significance of morphology from the perspective of graph classification - by extracting the typical local structures, called "motifs", from the multi-modal public transport multigraph. A motif is seen as a certain connectivity pattern of different transport modes at a local scale. Combinations of various motifs decide the output of graph classification, particularly, public transport performance. We invent an innovative method to extract motifs on complex spatial multigraphs. The proposed method is adaptable to unify complex factors into one simple form for swift coding, and depends less on observational data to handle data unavailability. In the study area of Beijing, we validate that the measure can infer varied public transport efficiencies and access e...Continue Reading

References

Aug 27, 2009·Proceedings of the National Academy of Sciences of the United States of America·Nathan EagleDavid Lazer
Dec 22, 2017·Nature Communications·Minjin LeeGourab Ghoshal
Apr 14, 2019·Proceedings of the National Academy of Sciences of the United States of America·Limiao ZhangShlomo Havlin
Nov 1, 2014·Physics Reports·S BoccalettiM Zanin

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