2021年1月13日
Kernel-based formulation of intervening opportunities for spatial interaction modelling
Scientific Reports
- ,
- 巻
- 11
- 号
- 1
- 開始ページ
- 950
- 終了ページ
- 記述言語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1038/s41598-020-80246-9
- 出版者・発行元
- Springer Science and Business Media LLC
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.
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.
- リンク情報
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- DOI
- https://doi.org/10.1038/s41598-020-80246-9 本文へのリンクあり
- URL
- https://www.nature.com/articles/s41598-020-80246-9.pdf 本文へのリンクあり
- URL
- https://www.nature.com/articles/s41598-020-80246-9 本文へのリンクあり
- ID情報
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- DOI : 10.1038/s41598-020-80246-9
- eISSN : 2045-2322
- ORCIDのPut Code : 86786685