Commuting patterns: the flow and jump model and supporting data
EPJ Data Science, ISSN: 2193-1127, Vol: 7, Issue: 1
2018
- 14Citations
- 24Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Article Description
A simple model, named the flow and jump model (FJM) is used for describing commuter fluxes at different distances. The model is based on a master equation which allows a local net probability flow and non-local jumps. FJM is in principle a one-parameter model, however it is found that by fixing this parameter we get a parameter free model, similar with the radiation model. We find that FJM offers an improved description for commuting data from USA, Italy and Hungary. For a special choice of the model parameter FJM leads to the radiation model.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85054685042&origin=inward; http://dx.doi.org/10.1140/epjds/s13688-018-0167-3; https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-018-0167-3; http://link.springer.com/content/pdf/10.1140/epjds/s13688-018-0167-3.pdf; http://link.springer.com/article/10.1140/epjds/s13688-018-0167-3/fulltext.html; https://dx.doi.org/10.1140/epjds/s13688-018-0167-3
Springer Science and Business Media LLC
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