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 intera...

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Main Authors: Masaki Kotsubo, Tomoki Nakaya
Format: Article
Language:English
Published: Nature Portfolio 2021-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-020-80246-9
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author Masaki Kotsubo
Tomoki Nakaya
author_facet Masaki Kotsubo
Tomoki Nakaya
author_sort Masaki Kotsubo
collection DOAJ
description 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 modified radiation model that included kernel-based intervening opportunities outperformed the original radiation model when fitted to four datasets of inter-regional flows.
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spelling doaj.art-3f8e650426574043b59791281821ecf92022-12-21T20:29:24ZengNature PortfolioScientific Reports2045-23222021-01-0111111310.1038/s41598-020-80246-9Kernel-based formulation of intervening opportunities for spatial interaction modellingMasaki Kotsubo0Tomoki Nakaya1Graduate School of Environmental Studies, Tohoku UniversityGraduate School of Environmental Studies, Tohoku UniversityAbstract 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 modified radiation model that included kernel-based intervening opportunities outperformed the original radiation model when fitted to four datasets of inter-regional flows.https://doi.org/10.1038/s41598-020-80246-9
spellingShingle Masaki Kotsubo
Tomoki Nakaya
Kernel-based formulation of intervening opportunities for spatial interaction modelling
Scientific Reports
title Kernel-based formulation of intervening opportunities for spatial interaction modelling
title_full Kernel-based formulation of intervening opportunities for spatial interaction modelling
title_fullStr Kernel-based formulation of intervening opportunities for spatial interaction modelling
title_full_unstemmed Kernel-based formulation of intervening opportunities for spatial interaction modelling
title_short Kernel-based formulation of intervening opportunities for spatial interaction modelling
title_sort kernel based formulation of intervening opportunities for spatial interaction modelling
url https://doi.org/10.1038/s41598-020-80246-9
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