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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Autores principales:	Masaki Kotsubo, Tomoki Nakaya
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/3f8e650426574043b59791281821ecf9
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spelling	oai:doaj.org-article:3f8e650426574043b59791281821ecf92021-12-02T14:12:47ZKernel-based formulation of intervening opportunities for spatial interaction modelling10.1038/s41598-020-80246-92045-2322https://doaj.org/article/3f8e650426574043b59791281821ecf92021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-80246-9https://doaj.org/toc/2045-2322Abstract 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.Masaki KotsuboTomoki NakayaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Masaki Kotsubo Tomoki Nakaya Kernel-based formulation of intervening opportunities for spatial interaction modelling
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.
format	article
author	Masaki Kotsubo Tomoki Nakaya
author_facet	Masaki Kotsubo Tomoki Nakaya
author_sort	Masaki Kotsubo
title	Kernel-based formulation of intervening opportunities for spatial interaction modelling
title_short	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_sort	kernel-based formulation of intervening opportunities for spatial interaction modelling
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/3f8e650426574043b59791281821ecf9
work_keys_str_mv	AT masakikotsubo kernelbasedformulationofinterveningopportunitiesforspatialinteractionmodelling AT tomokinakaya kernelbasedformulationofinterveningopportunitiesforspatialinteractionmodelling
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Kernel-based formulation of intervening opportunities for spatial interaction modelling

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