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Document type:
Zeitschriftenaufsatz 
Author(s):
Mahajan, Vishal; Cantelmo, Guido; Antoniou, Constantinos 
Title:
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. 
Journal title:
European Transport Research Review 
Year:
2021 
Journal volume:
13 
Month:
Apr 
Journal issue:
Pages contribution:
26 
Print-ISSN:
1866-8887