Future directions in human mobility science
We provide a brief review of human mobility science and present three key areas where we
expect to see substantial advancements. We start from the mind and discuss the need to …
expect to see substantial advancements. We start from the mind and discuss the need to …
A survey on deep learning for human mobility
The study of human mobility is crucial due to its impact on several aspects of our society,
such as disease spreading, urban planning, well-being, pollution, and more. The …
such as disease spreading, urban planning, well-being, pollution, and more. The …
The universal visitation law of human mobility
Human mobility impacts many aspects of a city, from its spatial structure,–to its response to
an epidemic,,–. It is also ultimately key to social interactions, innovation, and productivity …
an epidemic,,–. It is also ultimately key to social interactions, innovation, and productivity …
The scales of human mobility
There is a contradiction at the heart of our current understanding of individual and collective
mobility patterns. On the one hand, a highly influential body of literature on human mobility …
mobility patterns. On the one hand, a highly influential body of literature on human mobility …
Electric vehicle behavior modeling and applications in vehicle-grid integration: An overview
The increasing electric vehicle (EV) adoption in the context of transportation electrification
and carbon neutrality pursuit brings both new challenges and opportunities for all the …
and carbon neutrality pursuit brings both new challenges and opportunities for all the …
A review of graph neural networks in epidemic modeling
Since the onset of the COVID-19 pandemic, there has been a growing interest in studying
epidemiological models. Traditional mechanistic models mathematically describe the …
epidemiological models. Traditional mechanistic models mathematically describe the …
Data acquisition for urban building energy modeling: A review
Abstract Urban Building Energy Modeling (UBEM) is essential for urban energy-related
applications. Its generation mainly requires four data inputs, including geometric data, non …
applications. Its generation mainly requires four data inputs, including geometric data, non …
Effect of COVID-19 response policies on walking behavior in US cities
The COVID-19 pandemic is causing mass disruption to our daily lives. We integrate mobility
data from mobile devices and area-level data to study the walking patterns of 1.62 million …
data from mobile devices and area-level data to study the walking patterns of 1.62 million …
Urban mobility and neighborhood isolation in America's 50 largest cities
Influential research on the negative effects of living in a disadvantaged neighborhood
assumes that its residents are socially isolated from nonpoor or “mainstream” …
assumes that its residents are socially isolated from nonpoor or “mainstream” …
PMF: A privacy-preserving human mobility prediction framework via federated learning
With the popularity of mobile devices and location-based social network, understanding and
modelling the human mobility becomes an important topic in the field of ubiquitous …
modelling the human mobility becomes an important topic in the field of ubiquitous …