- Human Mobility and Location-Based Analysis
- COVID-19 epidemiological studies
- Data-Driven Disease Surveillance
- COVID-19 Pandemic Impacts
- Urban and spatial planning
- Impact of Light on Environment and Health
- COVID-19 and Mental Health
- Traffic Prediction and Management Techniques
- Financial Crisis of the 21st Century
- Opportunistic and Delay-Tolerant Networks
- Land Use and Ecosystem Services
- Winter Sports Injuries and Performance
- Social Robot Interaction and HRI
- Gaze Tracking and Assistive Technology
- COVID-19 diagnosis using AI
- 3D Modeling in Geospatial Applications
- Complex Network Analysis Techniques
- Insurance, Mortality, Demography, Risk Management
- French Urban and Social Studies
- Artificial Intelligence in Healthcare
- Digital Marketing and Social Media
- Context-Aware Activity Recognition Systems
- Geographic Information Systems Studies
- COVID-19 Digital Contact Tracing
The University of Tokyo
1964-2020
Tokyo University of Information Sciences
2020
University of Tsukuba
2017
Saitama University
2014
Independent Administrative Institution National Research Institute for Cultural Properties
1968
Osaka City University
1965
Big human mobility data are being continuously generated through a variety of sources, some which can be treated and used as streaming for understanding predicting urban dynamics. With such data, the online prediction short-term at city level great significance transportation scheduling, regulation, emergency management. In particular, when big rare events or disasters happen, large earthquakes severe traffic accidents, people change their behaviors from routine activities. This means...
Background During the second wave of COVID-19 in August 2020, Tokyo Metropolitan Government implemented public health and social measures to reduce on-site dining. Assessing associations between human behavior, infection, is essential understand achievable reductions cases identify factors driving changes dynamics. Objective The aim this study was investigate association nighttime population volumes, epidemic, implementation Tokyo. Methods We used mobile phone location data estimate...
This study develops a globally adaptable and scalable methodology for high-resolution, building-level population mapping, integrating Earth observation techniques, geospatial data acquisition, machine learning to enhance estimation in rapidly urbanizing cities, particularly developing countries. Using Bangkok, Thailand, as case study, this research presents problem-driven approach that leverages open data, including Overture Maps OpenStreetMap (OSM), alongside Digital Elevation Models,...
During the coronavirus disease 2019 (COVID-19) pandemic in Japan, state of emergency, as a public health measure to control spread COVID-19, and Go To campaign, which included Travel Eat campaigns was purposed stimulate economic activities, were implemented. This study investigated impact these government policies on COVID-19 spread.This ecological all 47 prefectures Japan samples between February 3 December 27, 2020. We used cases mobility variables. Additionally, places where social...
The Japanese government adopted policies to control human mobility in 2020 prevent the spread of severe acute respiratory syndrome coronavirus 2, which causes disease 2019 (COVID-19). present study examined impact on COVID-19 cases at prefectural level Japan by devising an indicator have a relationship between number infected people and mobility. We calculated origin-destination travel within prefectures from March 1st December 31st, 2020, using mobile phone data. A cross-correlation...
Japan has responded to the spread of COVID-19 through declaration a state emergency regulate human mobility. Although was enforced by government for prefectures, there is limited evidence as whether public complied with requests voluntary stay at home. In this study, we evaluated impact declaring on mobility during pandemic in Japan.We utilized daily data 47 prefectures Japan. Data were collected via mobile phone from February 1, 2020 April 30, 2021. Difference-in-difference analysis...
Abstract. Human mobility analysis on large-scale data has contributed to multiple applications such as urban and transportation planning, disaster preparation response, tourism, public health. However, when some unusual events happen, every individual behaves differently depending their personal routine background information. To improve the accuracy of crowd behavior prediction model, understanding supplemental spatiotemporal topics, when, where what people observe are interested in, is...
Urban planning and management increasingly depend on accurate building population data. However, many regions lack sufficient resources to acquire maintain these data, creating challenges in data availability. Our methodology integrates multiple sources, including aerial imagery, Points of Interest (POIs), digital elevation models, employing Light Gradient Boosting Machine (LightGBM) Decision Tree (GBDT) classify uses morphological filtration estimate heights. This research contributes...
We have been conducting research on ways to contribute reducing the workload of caregivers. developed a wheelchair capable following single accompanying caregiver in parallel position. However, observations actual care facilities revealed that people often move as group: for instance, two caregivers each pushed together. Therefore, we now aim develop robotic system allows multiple wheelchairs and coordinate their movement such situation necessitates complex system. Making practical...
Globalization leads to more and outbound behavior. Understanding these behavior is of great significance both inbound countries in a lot fields. However, the previous research on mainly unitizes questionnaires or purely analyzes statistical data, data are either too difficult acquire unable directly analyze public opinion. This paper aim through large volume text location information published social network services (SNS) look into case study Chinese people Japan with acquired from...
Abstract. Detailed demographics play an important role in the development of smart cities. However, especially developing countries, maintenance and management this data is incomplete, which hinders promotion The objective study to develop a method create detailed building distribution maps from satellite images, will serve as basis for demographic support cities around world. target area several areas Tokyo where validation available. We first developed extracting buildings images then...
<sec> <title>BACKGROUND</title> During the second wave of COVID-19 in August 2020, Tokyo Metropolitan Government implemented public health and social measures to reduce on-site dining. Assessing associations between human behavior, infection, is essential understand achievable reductions cases identify factors driving changes dynamics. </sec> <title>OBJECTIVE</title> The aim this study was investigate association nighttime population volumes, epidemic, implementation Tokyo....
Monitoring the crowd in urban hot spot has been an important research topic field of management and high social impact. It can allow more flexible allocation public resources such as transportation schedule adjustment arrangement police force. After 2020, because epidemic COVID-19 virus, mobility pattern is deeply affected by situation physical close contact dominant way infection. In this study, we propose a confirmed case-driven time-series prediction named MobCovid. The model deviation...
This report is introduction about the historical farmhouses and townhouses in Ojiya, Niigata Prefecture. These houses were built period from end of seventeenth to nineteenth century. The formhouses this dislrict are know as CHUMON-ZUKURI, that say, stable make a right angle with main building, (see photo. 1) Generally, have gables, outside buildings, only facade designed, photo.2) list offixed documents which records when built.
There was of great difference on supply condition wood between in the town and village moreover (case of) villages depends upon places where they are located. For example, at Imai-cho Nara prefecture it conjectured that establisnment order circulation standard already prevalent during latter half 17th century. However, case Akiyama-go northern end Nagano prefecture, people did not standerdize parts building wood, middle part 19th century, much less marketing. Here, this treatise, by...
This treatise deals with the documents between 1728 and 1902. Trese were written in building houses storehouses, they recordes about purchase of building-materials charge for labor artisans. In this district, former years, farmhouses built by peasants themselves without assistance professional workers. But, advance architecture, high techniques demanded gradually. And here, as a worker, carpenter was appeared. then appeared thatcher sawyer (Both latter half 18 century hence.) But it rather...
民家に座敷(特別の客のために用意された部屋)が設けられる過程を考察することは民家研究の一つの課題である。座敷は近世を通じてしだいに整ってくる。そして,2室の座敷が並び,その間の間仕切の建具をはずせば,1室のように通して使える座敷形式が成立する。これは民家の座敷の一形式として全国的にひろがり定着するようになる。この座敷には天井が張られ,長押が廻り,上の座敷にはトコ・タナ・ショイン等が設けられる。この座敷は書院造の影響によって出来たものであり,2室続きの座敷は民家の最も,整った座敷形式と考えられる。この座敷形式はどこで,いつごろ,どのようにして成立したのだろうか。この問題はまだ,はっきりわかっていないように思われる。この点からして,1961年長野県南佐久郡八千穂村で行った民家調査のさいにえた,佐々木嘉幸家の住宅遺構はこの地方を代表するものと考えられ,普請帳等の文献資料もあって重要である。文献資料を検討し,遺構の再調査を行った結果,上にあげた問題の1つである2室続きの座敷の成立時期をはっきりさせることが出来た。八千穂村民家調査報告(吉田靖「長野県八千穂村の民家について」建築学会論文報告...
The form of shrines' main halls are classified into the four types. And each type can be subdivided further. list as follows : [table] Some these types which have a feature geograpical distribution explained. (1) NAGARE-ZUKURI, Kohai-tsuki type; This is distributed mainly in Shiga Prefecture. In Prefectures Kyoto, Nara and Hyogo, only ordinary distributed. (2) KASUGA-ZUKURI; small region near. Sumigiiri area except