Modeling monthly flows of global air travel passengers: An open-access data resource.

ABSTRACT: The global flow of air travel passengers varies over time and space, but analyses of these dynamics and their integration into applications in the fields of economics, epidemiology and migration, for example, have been constrained by a lack of data, given that air passenger flow data are often difficult and expensive to obtain. Here, these dynamics are modeled at a monthly scale to provide an open-access spatio-temporally resolved data source for research purposes (www.vbd-air.com/data). By refining an annual-scale model of Huang et al. (2013), we developed a set of Poisson regression models to predict monthly passenger volumes between directly connected airports during 2010. The models not only performed well in the United States with an overall accuracy of 93%, but also showed a reasonab

SUBMITTER: Mao L 

PROVIDER: S-EPMC7127637 | biostudies-literature | 2015 Oct

REPOSITORIES: biostudies-literature