Explaining demand patterns during COVID-19 using opportunistic data: a case study of the city of Munich
Abstract Background The COVID-19 pandemic is a new phenomenon and has affected the population’s lifestyle in many ways, such as panic buying (the so-called “hamster shopping”), adoption of home-office, and decline in retail shopping. For transportation planners and operators, it is interesting to an...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2021-04-01
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| Series: | European Transport Research Review |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12544-021-00485-3 |