A5068461272- Transportation Planning and Optimization
- Urban Transport and Accessibility
- Vehicle emissions and performance
- Urban and spatial planning
- Transportation and Mobility Innovations
- Urban and Freight Transport Logistics
- Land Use and Ecosystem Services
- COVID-19 epidemiological studies
- Aviation Industry Analysis and Trends
- Infrastructure Maintenance and Monitoring
- Transport and Economic Policies
- Traffic Prediction and Management Techniques
- Housing Market and Economics
- Urbanization and City Planning
- Smart Parking Systems Research
- COVID-19 Pandemic Impacts
- Human Mobility and Location-Based Analysis
- Energy, Environment, Agriculture Analysis
- Regional Economics and Spatial Analysis
- Spatial and Panel Data Analysis
- Place Attachment and Urban Studies
- Urban Green Space and Health
- Urban Design and Spatial Analysis
- Energy, Environment, and Transportation Policies
- Fiscal Policy and Economic Growth
Chubu University
2016-2024
The Japanese Society of Gastroenterological Surgery
2024
Iwate Medical University
2024
Onomichi General Hospital
2024
Hiroshima University
2024
Nagoya University
2008-2017
Science Council of Japan
2016
Graduate School USA
2014
Nagoya City University
2011
Japan Society for the Promotion of Science
2009-2010
Impacts of coronavirus disease 2019 (COVID-19) on the transport sector and corresponding policy measures are becoming widely investigated. Considering various uncertainties unknowns about this virus its impacts (especially long-term impacts), it is critical to understand opinions suggestions from experts within related planning fields. To date, however, there no study that fills gap in a comprehensive way. This paper an executive summary findings WCTRS COVID-19 Taskforce expert survey...
Historical patterns and driving forces of land-use change were investigated in Shanghai under the background drastic socioeconomic transition China. Differing from previous researches, this paper highlights investigation not only factors urban area growth, but also physical elements affecting land's spatial distribution through remote sensing multivariable regression methods. The results indicate that changes have been occurring at an accelerating pace over past two decades, are...
The social-distancing measures implemented as a result of the COVID-19 pandemic have changed socio-economic activities in urban areas. This study analyzes these behavioral changes four Japanese metropolitan areas based on mobility data provided by Google and Apple. results show that regular patterns behavior been significantly disrupted COVID-19, inhibition manifests differently depending upon structure climatic factors.
Bangkok suffered from the world’s worst traffic congestion in 1990s due to rapidly increasing car ownership, reflecting economic growth and road-dependent transport policy beginning 1960s. Due its monocentric but scattered urban structure, is severe, causing tremendous loss, deteriorating air quality, badly affecting quality of life. A historical review reveals that plan development were not efficiently coordinated, resulting unorganized suburbanization progressively more severe congestion....
Understanding the quality of life related to transportation plays a crucial role in enhancing commuters’ life, particularly daily trips. This study explores spatial effects built environment on (QoLT) through combination GIS application and deep learning based questionnaire survey by focusing case Sukhumvit district, Bangkok, Thailand. The Geographic Information System (GIS) was applied for analysis visualization among all variables grid cell (500 × 500 sq.m.). In regard learning, semantic...
As urbanization is rapidly progressing worldwide, the cities need to assess their quality of life (QOL) not only check infrastructure but also keep pace with changing citizens' sense values and lifestyles. We propose an integrated method evaluate urban QOL from detailed spatial aspects a city subjective preferences its citizens. In this study, we collected data setting attributes at 500-m mesh scale, that vary based on individual attributes, across five metropolitan areas in Japan. Our...
Decentralization development and changing urban form will increase the mobility contribute to global CO2 emissions, in particular for developing countries which are experiencing rapid economic growth expansion. In this paper, an integrated analytical framework, can quantify impact of on commuting is presented. This framework simultaneously considers two emission dependent factors, demand modal share based concept excess accessibility analysis, ensures its applicability other cities where...
As the COVID-19 pandemic spreads globally, and its vaccine or drug is yet to be developed, many countries worldwide now resort social distancing policies as effective non-pharmaceutical interventions. However, effectiveness varies from country country, factors responsible for such variations are not known. In this study, preliminary analysis of international comparison behavior changes that accompany conducted using Google Community Mobility Reports, wherein ratios with distance policy in...
Rail transit systems around the world have been suffering from heavily reduced ridership due to capacity for social distancing and passengers’ concern over risk of COVID-19 infection. Various countermeasures were implemented reduce so that passengers felt safe travel on rail. The objectives this study evaluate Bangkok’s urban rail viewpoints examine its influence passenger’s confidence. background pandemic in Thailand Bangkok summarized. data obtained an interview survey 1105 railway...
High-speed rail in infrastructure construction has become a priority worldwide, and vast investments have been made; therefore, it increasingly necessary to appropriately assess regional economic impact, more importantly, deliberate policy improve industrial development. This paper looks at the impacts of Shinkansen lines on locations Japan. Unlike previous research, this study investigates both socioeconomic factors physical determinants through an empirical location model multivariable...
Many megacities in the world, especially Bangkok, are facing severe congestion road traffic and public transport, particularly during peak hours. This situation (a) worsens quality of life, (b) releases emissions causing air pollution climate change, (c) subsequently creates requests for massive investment transport infrastructure, which easily exceed budget’s limit. Instead solving problem by supply-side strategies, applying ICT-based solutions to reform people’s daily activities, commuting...
This paper proposes a method for augmenting learning data of road damage dataset considering the influence augmented on classification accuracy. Data augmentation is very important task in field machine because more causes increasing accuracy general. The quality influences classification. Effective needed. proposed generates by selecting effective methods depending class damage. uses You Only Look Once v3 (YOLOv3) detection and an image. It tuned adding to presented public. experimental...