Development of downscaling method using the RBF network assessing the hourly population inflow: A case study of the Sapporo urban area

Okumura, Kota; Ogoshi, Takumi; Asada, Takumi; Arimura, Mikiharu; Arreeras, Tosporn

doi:10.1016/j.eastsj.2020.100019

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…Regarding the data quality and accuracy, the technical note produced by the cooperation of National Institute of Land and Infrastructure Management (NILIM), Tokyo University, and the NTT DOCOMO, Inc., provided the detail of the data collecting procedure and its application in the transport field as a reliable resource ( NILIM, 2018 ). Besides, in the research of Arimura et al (2016) and Okumura et al (2020) , the authors demonstrated that mobile spatial statistics data have a high correlation with the permanent population based on the city's census data. Moreover, we intend to reflect the actual number of people at a specific time; thus, the mobile spatial statistics are suitable and reliable for the analysis.…”

Section: Methodsmentioning

confidence: 99%

Changes in urban mobility in Sapporo city, Japan due to the Covid-19 emergency declarations

Arimura

Okumura

et al. 2020

Transportation Research Interdisciplinary Perspectives

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103

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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.

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Section: Methodsmentioning

confidence: 99%

Changes in urban mobility in Sapporo city, Japan due to the Covid-19 emergency declarations

Arimura

Okumura

et al. 2020

Transportation Research Interdisciplinary Perspectives

Self Cite

103

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“…Considering the above factors, we introduce the radial basis function (RBF) neural network model into the study of TEH early warning. The RBF neural network, as a machine learning method, has a strong fitting ability [37]. It generates a high-precision model by using real data [38].…”

Section: Introductionmentioning

confidence: 99%

Exploring Development Trends of Terrestrial Ecosystem Health—A Case Study from China

Zhang

et al. 2021

Land

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Terrestrial ecosystem health (TEH) is the basis of regional sustainability development. The state of TEH is an important research direction in the land science field. The purpose of this paper was to explore the development trends and influencing factors of the. By using the radial basis function (RBF), neural network model, geographic information system (GIS), and the comprehensive index method, this paper predicted the land ecological changes of Henan Province from 2007 to 2025 based on a comprehensive evaluation of the system. The results show that the TEH of Henan Province exhibited a general trend of improvement from 2007 to 2025. The predictions exhibited a tendency to fluctuate and increase, from “severe warning” to “moderate warning” and even to “no warning” state. The early warning index of the subsystem showed a fluctuating upward trend except for the press subsystem, which fluctuated between “extraordinary warning” and “heavy warning” states. The overall TEH level is improving but is largely dependent on effective corresponding measures. The health status of the land ecosystem in Henan Province is guaranteed to be stable due to improvements in rural residential incomes, mechanization levels of cultivated land, domestic sewage treatment rates, and the numbers of scientific and technological personnel per unit of land. The TEH is mainly restricted by the population densities, urbanization levels, inputs of fertilizers and pesticides, and average wastewater load factors of the land. To improve the health level of the land ecosystem, it is necessary to reduce the use of fertilizers and pesticides and to control the urbanization rate. At the same time, improving the level of forest coverage and the effective irrigation rate play a positive role in improving ecosystem health. The results provide a reference for land-use planning and management decisions.

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Toward green equity: An extensive study on urban form and green space equity for shrinking cities

Chen

Kinoshita

et al. 2023

Sustainable Cities and Society

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Development of downscaling method using the RBF network assessing the hourly population inflow: A case study of the Sapporo urban area

Cited by 4 publications

References 9 publications

Changes in urban mobility in Sapporo city, Japan due to the Covid-19 emergency declarations

Changes in urban mobility in Sapporo city, Japan due to the Covid-19 emergency declarations

Exploring Development Trends of Terrestrial Ecosystem Health—A Case Study from China

Toward green equity: An extensive study on urban form and green space equity for shrinking cities

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