A study on the use of urban parks using location-based big data under the Coronavirus crisis

Takeyama, Hiroshi; Wakai, Sachio; Yamamoto, Satoshi; Yakushiji, Tsuneharu; Nakase, Isao

doi:10.5632/jila.84.475

Cited by 4 publications

(6 citation statements)

References 1 publication

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“…This was expected given that the data in 2020 coincided with an emergency declaration issued by both Ishikawa Prefecture and the national government. Even though the movement restrictions in Japan are a “request”, most people obeyed as the number of the newly infected rose rapidly [ 31 , 38 ].…”

Section: Discussionmentioning

confidence: 99%

“…Studies in Japan that used location data of smartphones to examine the effect of the COVID-19 pandemic on people’s greenspace use show similar trends as our study. For example, Takeyama et al [ 31 ] indicated that various use restriction measures and social distancing effectively decreased the number of visitors during the pandemic for all large public parks being studied in Hyogo Prefecture. However, one park showed a particularly minor degree of reduction.…”

Section: Discussionmentioning

confidence: 99%

“…Human flow data can be collected through fixed-point monitoring, questionnaires and interviews, wireless terminals and GPS loggers, and device location information obtained from mobile phones and car navigation systems with built-in GPS/GNSS receivers [ 29 ]. The fourth type of human flow data enables a detailed analysis of behavioral changes by tracking movements of greenspace users [ 30 , 31 ]. Improved camera and sensor performance, as well as cellphone base station information and GPS information, have facilitated obtaining human flow big data.…”

Section: Introductionmentioning

confidence: 99%

“…Few studies have used human flow data (mobile phone location data) to examine people’s greenspace use [ 31 , 32 , 33 ]. Human flow data with their rich spatio-temporal information provide useful information for planning and designing post-COVID-19 urban greenspaces (e.g., [ 34 ]).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Human Flow Dataset Reveals Changes in Citizens’ Outing Behaviors including Greenspace Visits before and during the First Wave of the COVID-19 Pandemic in Kanazawa, Japan

Ueno

Kato

Mase

et al. 2022

IJERPH

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Greenspaces, including parks, provide various socio-ecological benefits such as for aesthetics, temperature remediation, biodiversity conservation, and outdoor recreation. The health benefits of urban greenspaces have received particular attention since the onset of the COVID-19 pandemic, which has triggered various movement restrictions and lifestyle changes, including regarding the frequency of people’s visits to greenspaces. Using mobile-tracking GPS data of Kanazawa citizens, we explored how citizens’ behaviors with respect to outings changed before and during Japan’s declaration of a COVID-19 state of emergency (April–May 2020). We also examined citizens’ greenspace visits in relation to their travel distance from home. We found that Kanazawa citizens avoided going out during the pandemic, with a decrease in the number, time, and distance of outings. As for the means of transportation, the percentage of outings by foot increased on both weekdays and holidays. While citizens refrained from going out, the percentage change of the percentage in large greenspace visits increased very slightly in 2020. As for greenspace visitation in 2020 compared to 2019, we found that citizens generally visited greenspaces closer to their homes, actually increasing visitation of nearby (within 1000 m) greenspaces. This study of how outing behaviors and greenspace use by Kanazawa citizens have changed underscores the value of nearby greenspaces for physical and mental health during movement restrictions under the pandemic.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Human Flow Dataset Reveals Changes in Citizens’ Outing Behaviors including Greenspace Visits before and during the First Wave of the COVID-19 Pandemic in Kanazawa, Japan

Ueno

Kato

Mase

et al. 2022

IJERPH

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“…To date, many studies have focused on the COVID-19 pandemic and park use. Takeyama et al analyzed the actual number of park users during the period of infectious disease control implemented by Hyogo Prefecture and other periods using Big Data obtained from the location information of smartphones [5]. Takeuchi et al analyzed the actual usage of large-scale parks in Tokyo by performing hearing surveys and determining the number of park users using line census data [6].…”

Section: Previous Research On Parks During the Covid-19 Pandemicmentioning

confidence: 99%

Dynamics of Park Users During Covid-19 Pandemic: A Case Study of Shikishima Park in Maebashi

Tao¹

2022

GEOMATE

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In this study, Shikishima Park in Maebashi, Gunma Prefecture, was used as a research case to investigate the dynamics of park users during the COVID-19 pandemic. In this study, we analyzed user traffic measured by cameras installed in the parking lot of Shikishima Park. User behavior during each infection period was analyzed, and it was demonstrated that the number of users increased during the second wave period even after the infection spread. The results of were considered. (1) COVID-19 restricted the use of indoor dense spaces in recreational facilities, which was considered to be one of the reasons why Shikishima Park, which is an outdoor open space, was preferred and the number of park users increased. (2) It is thought that the number of park users has increased because the residential environment surrounding Shikishima Park is not as dense as the park shown in the case of Tokyo. (3) The coverage of his COVID-19 infection by Gunma Prefecture and the Jomo Shimbun did not directly affect the increase or decrease in the number of park users.

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Probabilistic inference on the factors promoting park use by machine learning using panel data from 2014 to 2020 in Tokyo, Japan

Otsuka

Imanishi²,

Nasu

et al. 2023

Cities

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A study on the use of urban parks using location-based big data under the Coronavirus crisis

Cited by 4 publications

References 1 publication

Human Flow Dataset Reveals Changes in Citizens’ Outing Behaviors including Greenspace Visits before and during the First Wave of the COVID-19 Pandemic in Kanazawa, Japan

Human Flow Dataset Reveals Changes in Citizens’ Outing Behaviors including Greenspace Visits before and during the First Wave of the COVID-19 Pandemic in Kanazawa, Japan

Dynamics of Park Users During Covid-19 Pandemic: A Case Study of Shikishima Park in Maebashi

Probabilistic inference on the factors promoting park use by machine learning using panel data from 2014 to 2020 in Tokyo, Japan

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