Changes in urban mobility in Sapporo city, Japan due to the Covid-19 emergency declarations
| Autor: | Takumi Asada, Mikiharu Arimura, Tran Vinh Ha, Kota Okumura |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
2019-20 coronavirus outbreak
Coronavirus disease 2019 (COVID-19) business.industry Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Big data Declaration Transportation Management Science and Operations Research Population concentration lcsh:HE1-9990 Article Geography Mobile spatial statistics Automotive Engineering Pandemic lcsh:Transportation and communications Moving pattern Socioeconomics business Covid-19 Civil and Structural Engineering |
| Zdroj: | Transportation Research Interdisciplinary Perspectives Transportation Research Interdisciplinary Perspectives, Vol 7, Iss, Pp 100212-(2020) |
| ISSN: | 2590-1982 |
| Popis: | At the time of writing, the world is facing the new coronavirus pandemic, which has been declared one of the most dangerous disasters of the 21st century. All nations and communities have applied many countermeasures to control the spread of the epidemic. In terms of countermeasures, lockdowns and reductions of social activities are meant to flatten the curve of infection. Nevertheless, to date, there has been no evaluation of the effectiveness of these methods. Thus, the present study aims to interpret the change in the population density of Sapporo city in the emergency's period declaration using big data obtained from mobile spatial statistics. The results indicate that, in the time of refraining from traveling, the city's residents have been more likely to stay home and less likely to travel to the center area. This has led to a decrease of up to 90% of the population density in crowded areas. The study's outcomes partly explain the statement of reducing 70%–80% of contact between people in line with the purpose of the emergency declaration. Moreover, these findings establish the primary step for further analysis of estimating the efficiency of policy in controlling the epidemic. Highlights • Estimating on how much people refrain from moving in the Covid-19 pandemic emergency declaration • The CBD area reduced in population concentration up to 89%. • The population density redistribution in Covid-19 pandemic • The change of people awareness against new coronavirus • Applying big data from mobile spatial statistic in estimating population density pattern |
| Databáze: | OpenAIRE |
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