Kernel-based formulation of intervening opportunities for spatial interaction modelling.

ABSTRACT: Understanding spatial interactions such as human mobility has been one of the main analytical themes in geography, spatial economics, and traffic engineering for a long time. The intervening opportunities models, including the radiation model, provide a framework to elucidate spatial interactions generated by an individual's distance-ordered decision-making process. However, such classical definitions of intervening opportunities have often failed to predict realistic flow volumes, particularly for short-distance flows. To overcome this problem, we have proposed a new formulation of intervening opportunities with a kernel function to introduce a fuzziness in spatial search behaviours of destinations, to develop a new variant of the radiation model. The mobility patterns resulting from the

SUBMITTER: Kotsubo M 

PROVIDER: S-EPMC7807028 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature