Yoshiki Ogawa
Biographic Data
| ID | 3842628 |
|---|---|
| NAME | Yoshiki Ogawa |
| GIVEN NAMES | Yoshiki |
| FAMILY NAME | Ogawa |
| SIGNATURE | OGAWA Y |
| AFFILIATIONS | The University of Tokyo |
| ORCID | 0000-0002-1987-4520 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2001 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Unveiling the Non-Linear Influence of Eye-Level Streetscape Factors on Walking Preference: Evidence from Tokyo
Promoting walking is crucial for sustainable development and fosters individual health and well-being. Therefore, comprehensive investigations of factors that make walking attractive are vital. Previous research has linked streetscapes at eye-level to walking preferences, which usually focuses on simple linear relationships, neglecting the complex non-linear dynamics. Additionally, the varied effects of streetscape factors across street segments …
Post-hazard supply chain disruption: Predicting firm-level sales using graph neural network
Evaluating the damage caused by supply chain disruptions triggered by natural hazards has an important role in supply chain risk management. This study proposes a novel approach to predict annual sales change rates for firms post-hazard. The approach employs graph neural networks, a machine learning technique that considers both internal factors such as sales and number of employees and external factors such as inter-firm relations and damages in…
Evaluating the subjective perceptions of streetscapes using street-view images
Developing a model to evaluate urban streetscapes based on subjective perceptions is important for quantitative understanding. However, previous studies have only considered limited types of subjective perceptions, neglecting the relationships between them. Further, accurately measuring subjective perception with low computational costs for large-scale urban regions at high spatial resolutions has been difficult. We present a deep-learning-based …
Road-reconstruction after multi-locational flooding in multi-agent deep RL with the consideration of human mobility - Case study: Western Japan flooding in 2018
Record-breaking heavy rain occurred in Western Japan from June 28 to July 8, 2018. Many roads in Hiroshima and Okayama Prefecture were disrupted simultaneously. The government desired the rapid recovery of disrupted human mobility; however, the restoration of roads that were frequently used by citizens was delayed for a week after this flooding. There are three challenges to overcome for an efficient disaster road management plan: 1) the lack of …
Development of current estimated household data and agent-based simulation of the future population distribution of households in Japan
In response to the declining population and aging infrastructure in Japan, local governments are implementing compact city policies in the form of location normalization plans. To optimize the reorganization of urban public infrastructure, it is important to provide detailed and accurate forecasts of the distribution of urban populations and households. However, several local governments do not have the necessary data and forecasting capability. …
Estimation of earthquake damage to urban environments using sparse modeling
For the establishment of precise disaster prevention measures in response to the Nankai megathrust earthquakes predicted to occur in the future, it is necessary to conduct numerous earthquake simulations and evaluate the vulnerability of the urban environment quantitatively. This vulnerability is evaluated on the basis of factors such as the extent of damage from earthquakes, as well as the attributes of residents, urban infrastructure, and syste…
The Stage/Individual Distinction and (In)alienable Possession
The stage-level/individual-level distinction, which has so far been limited to verbal and adjectival predicates, should be extended to (underived) nominal predicates as well. Specifically, while simple nominals are individual-level predicates, event nominals and inalienable possession nominals are stage-level predicates. The currently prevailing distinction between the stage-level and individual-level predicates, that is, whether a predicate deno…
The Stage/Individual Distinction and (In)alienable Possession
The stage-level/individual-level distinction, which has so far been limited to verbal and adjectival predicates, should be extended to (underived) nominal predicates as well. Specifically, while simple nominals are individual-level predicates, event nominals and inalienable possession nominals are stage-level predicates. The currently prevailing distinction between the stage-level and individual-level predicates, that is, whether a predicate deno…
The Stage/Individual Distinction and (In)alienable Possession
The stage-level/individual-level distinction, which has so far been limited to verbal and adjectival predicates, should be extended to (underived) nominal predicates as well. Specifically, while simple nominals are individual-level predicates, event nominals and inalienable possession nominals are stage-level predicates. The currently prevailing distinction between the stage-level and individual-level predicates, that is, whether a predicate deno…
Estimation of earthquake damage to urban environments using sparse modeling
For the establishment of precise disaster prevention measures in response to the Nankai megathrust earthquakes predicted to occur in the future, it is necessary to conduct numerous earthquake simulations and evaluate the vulnerability of the urban environment quantitatively. This vulnerability is evaluated on the basis of factors such as the extent of damage from earthquakes, as well as the attributes of residents, urban infrastructure, and syste…
Road-reconstruction after multi-locational flooding in multi-agent deep RL with the consideration of human mobility - Case study: Western Japan flooding in 2018
Record-breaking heavy rain occurred in Western Japan from June 28 to July 8, 2018. Many roads in Hiroshima and Okayama Prefecture were disrupted simultaneously. The government desired the rapid recovery of disrupted human mobility; however, the restoration of roads that were frequently used by citizens was delayed for a week after this flooding. There are three challenges to overcome for an efficient disaster road management plan: 1) the lack of …
Development of current estimated household data and agent-based simulation of the future population distribution of households in Japan
In response to the declining population and aging infrastructure in Japan, local governments are implementing compact city policies in the form of location normalization plans. To optimize the reorganization of urban public infrastructure, it is important to provide detailed and accurate forecasts of the distribution of urban populations and households. However, several local governments do not have the necessary data and forecasting capability. …
Unveiling the Non-Linear Influence of Eye-Level Streetscape Factors on Walking Preference: Evidence from Tokyo
Promoting walking is crucial for sustainable development and fosters individual health and well-being. Therefore, comprehensive investigations of factors that make walking attractive are vital. Previous research has linked streetscapes at eye-level to walking preferences, which usually focuses on simple linear relationships, neglecting the complex non-linear dynamics. Additionally, the varied effects of streetscape factors across street segments …
Post-hazard supply chain disruption: Predicting firm-level sales using graph neural network
Evaluating the damage caused by supply chain disruptions triggered by natural hazards has an important role in supply chain risk management. This study proposes a novel approach to predict annual sales change rates for firms post-hazard. The approach employs graph neural networks, a machine learning technique that considers both internal factors such as sales and number of employees and external factors such as inter-firm relations and damages in…
Evaluating the subjective perceptions of streetscapes using street-view images
Developing a model to evaluate urban streetscapes based on subjective perceptions is important for quantitative understanding. However, previous studies have only considered limited types of subjective perceptions, neglecting the relationships between them. Further, accurately measuring subjective perception with low computational costs for large-scale urban regions at high spatial resolutions has been difficult. We present a deep-learning-based …
Computer Science (5 works) · Geography (5 works) · Engineering (3 works) · Business (2 works) · Infrastructure Resilience and Vulnerability Analysis (2 works) · Mathematics (2 works) · Perception (2 works) · Psychology (2 works) · Transport engineering (2 works) · Urban Green Space and Health (2 works)