Optimizing taxi operations in Shanghai for reduced idle time and greener transportation: a spatiotemporal analysis using trajectory data and complex networks

Urban taxi systems contribute to carbon emissions through inefficient cruising and prolonged idle times. This study develops a novel spatiotemporal framework integrating complex network analysis with Markov process modeling to optimize taxi operations for sustainable transportation. Using GNSS traje...

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Bibliographic Details

Published in:	Journal of Physics: Complexity
Main Authors:	Zhanxin Ma, Zhangyi Ye, Xinyue Sun, Bin Pan, Haobo Ni, Yixiu Kong
Format:	Article
Language:	English
Published:	IOP Publishing 2025-01-01
Subjects:	sustainable transportation taxi optimization complex networks urban mobility carbon reduction
Online Access:	https://doi.org/10.1088/2632-072X/ade354