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Spatio-temporal analysis of the covid-19 impacts on the using Chicago urban shared bicycles by tensor-based approach
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Mostafa Golmohammadi   , Hossein Etemadfrad * , Hamed Kharaghani |
| Ferdowsi University of Mashhad |
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Abstract: (1958 Views) |
Cycling is a phenomenon in urban transportation that has the ability to allocate a specific location at any moment of time. Accordingly, spatial analysis of bicycle trips can be accompanied by temporal analysis. Commonly, the use of GIS environment is recommended to display the extent of the phenomenon's spatial changes. However, in order to apply and display changes over time, it requires the production of other layers of information. In this study, it is possible to simultaneously display the spatial and temporal information by tensor concept and tool. Using this tool, the abilities of displaying and analyzing a high volume of spatial information with the power of temporal resolution are created due to the simultaneous representation of the information layers. This study tries to investigate the spatial and temporal analyses at the same time by using the concept of tensor in order to understand how users request Chicago's shared bikes at different times of the day. In fact, this research analyzes the spatial and temporal distribution of the shared bike trips simultaneously. In addition, the number of bicycle trips over time, along with the amount of reduction and increase in trips from different neighborhoods, are studied separately from a spatial point of view. The results of this study show that the April 2020 coronavirus outbreak in Chicago resulted in a 68.4% decrease in the use of shared bicycles in the city compared to the same period of time in 2019. A more detailed survey showed that, the city experienced a 64.3% decrease for the holidays of this month and 72.6% on normal and non-holiday days. Spatial attitude also shows that in April 2020, the central neighborhoods experienced the greatest reduction in the use of shared bicycles. In addition, after the spread of the disease, requests to use bicycles from the same origins and destinations have increased.
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| Keywords: Coronavirus, Tensor, Bike Sharing, Spatio-Temporal Analysis, GIS |
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Full-Text [PDF 2559 kb]
(553 Downloads)
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Type of Study: Research |
Subject:
GIS
Received: 2022/08/30 | Accepted: 2023/01/17 | Published: 2023/02/6
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