Volume 43: Energy Transitions toward Carbon Neutrality: Part VI

Understanding Human Mobility Patterns from Urban Energy Consumption Records: A Data-Driven Approach Dou Huang, Junxiang Zhang, Zhiling Guo, Shibo Zhu, Xiaodan Shi,Wenjie Gong, Haoran Zhang*

Abstract

Within the intricate framework of urban energy systems, the dynamism of human activity emerges as a paramount determinant of the system’s demand facet. There exists an intrinsic correlation between patterns of human mobility and the nuances of energy consumption and demand across various urban granularities. This study meticulously examines the interrelationship between recorded human mobility and urban energy consumption metrics. Utilizing a rigorous data-driven methodology, we elucidate a model capable of extrapolating human mobility patterns from urban energy consumption datasets. The profound implications of this research encompass not only an enriched comprehension of urban systems dynamics but also pave the way for more nuanced strategies in optimizing urban energy systems predicated on the trajectories of human movement.

Keywords urban energy system, human mobility patterns, data-driven methodology