Modelling airport catchment areas to anticipate the spread of infectious diseases across land and air travel.

ABSTRACT: Air travel is an increasingly important conduit for the worldwide spread of infectious diseases. However, methods to identify which airports an individual may use to initiate travel, or where an individual may travel to upon arrival at an airport is not well studied. This knowledge gap can be addressed by estimating airport catchment areas: the geographic extent from which the airport derives most of its patronage. While airport catchment areas can provide a simple decision-support tool to help delineate the spatial extent of infectious disease spread at a local scale, observed data for airport catchment areas are rarely made publicly available. Therefore, we evaluated a probabilistic choice behavior model, the Huff model, as a potential methodology to estimate airport catchment areas in t

SUBMITTER: Huber C 

PROVIDER: S-EPMC10413988 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature