Explaining demand patterns during COVID-19 using opportunistic data: a case study of the city of Munich

Dokumenttyp:: Zeitschriftenaufsatz
Autor(en):: Mahajan, Vishal; Cantelmo, Guido; Antoniou, Constantinos
Titel:: Explaining demand patterns during COVID-19 using opportunistic data: a case study of the city of Munich
Abstract:: 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 analyze the spatial factors' role in the demand patterns at a POI (Point of Interest) during the COVID-19 lockdown viz-a-viz before lockdown.
Zeitschriftentitel:: European Transport Research Review
Jahr:: 2021
Band / Volume:: 13
Monat:: Apr
Heft / Issue:: 1
Seitenangaben Beitrag:: 26
Volltext / DOI:: doi:10.1186/s12544-021-00485-3
WWW:: https://doi.org/10.1186/s12544-021-00485-3
Print-ISSN:: 1866-8887
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