A hybrid gravity and route choice model to assess vector traffic in large-scale road networks.

ABSTRACT: Human traffic along roads can be a major vector for infectious diseases and invasive species. Though most road traffic is local, a small number of long-distance trips can suffice to move an invasion or disease front forward. Therefore, understanding how many agents travel over long distances and which routes they choose is key to successful management of diseases and invasions. Stochastic gravity models have been used to estimate the distribution of trips between origins and destinations of agents. However, in large-scale systems, it is hard to collect the data required to fit these models, as the number of long-distance travellers is small, and origins and destinations can have multiple access points. Therefore, gravity models often provide only relative measures of the agent flow. Furthe

SUBMITTER: Fischer SM 

PROVIDER: S-EPMC7277278 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature