Commuting patterns: the flow and jump model and supporting data
Abstract 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 fi...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2018-10-01
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| Series: | EPJ Data Science |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1140/epjds/s13688-018-0167-3 |
| Summary: | Abstract 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. |
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| ISSN: | 2193-1127 |