ArticleScientific reports2019
Destination choice game: A spatial interaction theory on human mobility.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Understanding human mobility patterns under a public health emergency.Infectious Disease Modelling · 2026Article
- The spatiotemporal prediction method of urban population density distribution through behaviour environment interaction agent model.Scientific reports · 2023Article
- Fine-scale variation in the effect of national border on COVID-19 spread: A case study of the Saxon-Czech border region.Spatial and spatio-temporal epidemiology · 2023Article
- Predictive limitations of spatial interaction models: a non-Gaussian analysis.Scientific reports · 2020Article
- The education-chasing labor rush in China identified by a heterogeneous migration-network game.Scientific reports · 2020Article
- Coevolution spreading in complex networks.Physics reports · 2019Review
- Identifying influential spreaders by gravity model.Scientific reports · 2019Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With remarkable significance in migration prediction, global disease mitigation, urban planning and many others, an arresting challenge is to predict human mobility fluxes between any two locations. A number of methods have been proposed against the above challenge, including the gravity model, the intervening opportunity model, the radiation model, the population-weighted opportunity model, and so on. Despite their theoretical elegance, all models ignored an intuitive and important ingredient in individual decision about where to go, that is, the possible congestion on the way and the possible crowding in the destination. Here we propose a microscopic mechanism underlying mobility decisions, named destination choice game (DCG), which takes into account the crowding effects resulted from spatial interactions among individuals. In comparison with the state-of-the-art models, the present one shows more accurate prediction on mobility fluxes across wide scales from intracity trips to intercity travels, and further to internal migrations. The well-known gravity model is proved to be the equilibrium solution of a degenerated DCG neglecting the crowding effects in the destinations.
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