Development of a Spatio-Temporal Analysis Method to Support the Prevention of COVID-19 Infection: Space-Time Kernel Density Estimation Using GPS Location History Data

Kato, Haruka

doi:10.1007/978-3-030-76059-5_4

Cited by 15 publications

(20 citation statements)

References 18 publications

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“…Therefore, the population may have decreased in urban centers but increased in suburban cities. Kato [14] obtained a similar result using the case of Ibaraki City. Therefore, this present study's novel contribution is to quantitatively clarify changes in home ranges using LH data in the suburban city.…”

Section: Noveltymentioning

confidence: 52%

“…The analysis was conducted on panel data from April 2019 to April 2020 using the case study of Ibaraki City. The period and area of the LH data are the same as that of the studies of Kato [14] and Kato et al [15]. Using the LH data, this study clarified the home range by utilizing MCP.…”

Section: Purposementioning

confidence: 86%

“…Governments and municipalities have used GPS data provided by Agoop Corporation for the control of the COVID-19 infection [29]. In addition, Kato [14] and Kato et al [15] studied human mobility using the LH data provided by Agoop Corporation. Therefore, the LH data was validated as high-quality data used in policymaking and research to control the pandemic.…”

Section: Mobile Phone Gps Location History Datamentioning

confidence: 99%

“…Since then, the number of infected people has continued to fluctuate in Osaka [13]. During the first state of emergency in Ibaraki City in Osaka Metropolitan area, Kato [14] reported that dense human space-times were formed in the parks as well as in the stations. Similarly, Kato et al [15] reported an increasing number of bicycle trips.…”

Section: Introduction 1backgroundmentioning

confidence: 99%

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Impact of COVID-19 Pandemic on Home Range in a Suburban City in the Osaka Metropolitan Area

2021

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This study aims to clarify the impact of the COVID-19 pandemic on home range. The home range is the area that individuals traverse in conducting their daily activities, such as working and shopping. In Japan, the central government declared the first state of emergency in April 2020. This study analyzed the panel data for mobile phone GPS location history from April 2019 to April 2020 in Ibaraki City, Osaka Metropolitan area. The study applied the minimum convex polygon method to analyze the data. The results show that the home range decreased significantly between April 2019 and April 2020. Specifically, the home range in 2020 decreased to approximately 50% of that in 2019 because of COVID-19 infection control measures, preventing people from traveling far from their homes and only allowing them to step outside for the bare minimum of daily activities and necessities. The results suggest that the emergency reduced people’s home ranges to the neighborhood scale. Therefore, it is necessary to consider designing new walkable neighborhood environments after the COVID-19 pandemic era.

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Section: Noveltymentioning

confidence: 52%

Section: Purposementioning

confidence: 86%

Section: Mobile Phone Gps Location History Datamentioning

confidence: 99%

Section: Introduction 1backgroundmentioning

confidence: 99%

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Impact of COVID-19 Pandemic on Home Range in a Suburban City in the Osaka Metropolitan Area

2021

Self Cite

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“…Governments and municipalities have used GPS data provided by Agoop Corporation for the control of COVID-19 infection [28]. In addition, Kato [29] developed an effective method to identify high-density space-time, using GPS LH data provided by the Agoop Corporation. Therefore, the GPS LH data used in this study was validated as high-quality GPS data used in policymaking and research to control the pandemic.…”

Section: Gps Location History Datamentioning

confidence: 99%

Changes in Walkable Streets during the COVID-19 Pandemic in a Suburban City in the Osaka Metropolitan Area

Kato

Matsushita

2021

Sustainability

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The purpose of this study was to identify the walkable streets where traffic behavior changed according to each residential cluster during the COVID-19 pandemic. By elucidating the changes, it is possible to identify streets that should be redesigned following the changes in traffic behavior in relation to human mobility. This study analyzed Ibaraki City, a suburban city located in the Osaka Metropolitan Area. The analysis compared the panel data of the GPS Location History for April 2020 and April 2019. The analysis method used was Empirical Bayesian kriging. The results show that the speed significantly increased in the dense, sprawl, mountain, and old NT clusters. It was also found that the number of cyclists increased during the COVID-19 pandemic. The results suggest a need to design walkable streets according to each residential cluster for the post-COVID-19 pandemic era. For example, some car lanes need to be converted to bike lanes in the main neighborhood to create walkable streets in the clusters.

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Changes in mobility amid the COVID-19 pandemic in Sapporo City, Japan: An investigation through the relationship between spatiotemporal population density and urban facilities

Asada

Arimura

2023

Transportation Research Interdisciplinary Perspectives

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Development of a Spatio-Temporal Analysis Method to Support the Prevention of COVID-19 Infection: Space-Time Kernel Density Estimation Using GPS Location History Data

Cited by 15 publications

References 18 publications

Impact of COVID-19 Pandemic on Home Range in a Suburban City in the Osaka Metropolitan Area

Impact of COVID-19 Pandemic on Home Range in a Suburban City in the Osaka Metropolitan Area

Changes in Walkable Streets during the COVID-19 Pandemic in a Suburban City in the Osaka Metropolitan Area

Changes in mobility amid the COVID-19 pandemic in Sapporo City, Japan: An investigation through the relationship between spatiotemporal population density and urban facilities

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