… Fortunately, with the development of big data analysis and … travel trajectories and imply the
potential mobility patterns. In … Due to the widespread use of mobile phones in smart cities, we …

… to simulate substitutes for conventional human mobility. An analysis of six scenarios is …
Big Data: Big Data forms the backbone of the smart city ecosystem. The enormous amount …

… to predict future trends of virus spread based on policy implications. For example, Zhou et al.
(… human mobility data review, combining both conventional small data and new big data. We …

… The notion of smart cities is overarching in this work, and because of our future mobility angle,
is … This data will be an added valuable feed for AI and big data analytics machines of the “…

… (1) technology can facilitate prosperity, wellbeing, urban livability, or social justice, but only
… smart cities is to facilitate and enhance human welfare and social flourishing. Researchers …

… of big data for long-term urban policy and planning. We first develop a theoretical perspective
on urban analytics … As a consequence, any patterns we observe are as much a product of …

… a smart city can be applied in Ghana following a determination of the mobility issues in
Ghanaian cities… The inputs for smart logistics mobility include: a) big data and predictive analytics …

… data, governments and researchers around the globe are rushing to unlock the potential of
Big Data … Some authors suggest that the long-term sustainability implications of the pandemic …

… direct effect on human mobility and is the focus of this study. In addition, various other factors
may contribute to the mobility change (Fang et al., 2020) and their confounding effects have …

… can acquire an understanding of which factors are most important in their contributions to
the mobility of a smart city and thus carry out investments and initiate improvement projects for …