Hajime Seya
Biographic Data
| ID | 6581487 |
|---|---|
| NAME | Hajime Seya |
| GIVEN NAMES | Hajime |
| FAMILY NAME | Seya |
| SIGNATURE | SEYA H |
| AFFILIATIONS | Department of Civil Engineering Graduate School of Engineering Faculty of Engineering Kobe University Kobe Japan |
| ORCID | 0000-0002-5392-7745 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2008 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Sub‐Model Aggregation for Scalable Eigenvector Spatial Filtering
This study proposes a method for aggregating/synthesizing global and local sub‐models for fast and flexible spatial regression modeling. Eigenvector spatial filtering (ESF) was used to model spatially varying coefficients and spatial dependence in the residuals by sub‐model, while the generalized product‐of‐experts method was used to aggregate these sub‐models. The major advantages of the proposed method are as follows: (i) it is highly scalable …
A Comparison of Residential Apartment Rent Price Predictions Using a Large Data Set
Despite several attempts to compare and examine the predictive accuracy of real estate sales and rent prices between the regression‐based and neural‐network (NN)‐based approaches, the results are largely mixed. Prior study limitations include a small sample size and a disregard for spatial dependence, which is an essential characteristic of real estate properties. Hence, this study aims to add new empirical evidence to the literature on comparing…
Effects of the Residential Environment on Health in Japan Linked with Travel Behavior
This paper aims to clarify how the residential environment is associated with overall health-related quality of life (QOL) via active travel (walking and cycling), by reflecting the influence of different trip purposes in Japan. The health-related QOL includes physical, mental, and social dimensions. For this study we implemented a questionnaire survey in 20 cities in Japan in 2010 and obtained valid answers from 1202 respondents. The residential…
Ex-post identification of geographical extent of benefited area by a transportation project
Measuring the impact of large‐scale transportation projects on land price using spatial statistical models
Measuring the impact of large‐scale transportation projects on land price using spatial statistical models
Effects of the Residential Environment on Health in Japan Linked with Travel Behavior
This paper aims to clarify how the residential environment is associated with overall health-related quality of life (QOL) via active travel (walking and cycling), by reflecting the influence of different trip purposes in Japan. The health-related QOL includes physical, mental, and social dimensions. For this study we implemented a questionnaire survey in 20 cities in Japan in 2010 and obtained valid answers from 1202 respondents. The residential…
Ex-post identification of geographical extent of benefited area by a transportation project
A Comparison of Residential Apartment Rent Price Predictions Using a Large Data Set
Despite several attempts to compare and examine the predictive accuracy of real estate sales and rent prices between the regression‐based and neural‐network (NN)‐based approaches, the results are largely mixed. Prior study limitations include a small sample size and a disregard for spatial dependence, which is an essential characteristic of real estate properties. Hence, this study aims to add new empirical evidence to the literature on comparing…
Sub‐Model Aggregation for Scalable Eigenvector Spatial Filtering
This study proposes a method for aggregating/synthesizing global and local sub‐models for fast and flexible spatial regression modeling. Eigenvector spatial filtering (ESF) was used to model spatially varying coefficients and spatial dependence in the residuals by sub‐model, while the generalized product‐of‐experts method was used to aggregate these sub‐models. The major advantages of the proposed method are as follows: (i) it is highly scalable …
Engineering (4 works) · Spatial and Panel Data Analysis (4 works) · Geography (3 works) · Housing Market and Economics (3 works) · Artificial Intelligence (2 works) · Artificial Intelligence (2 works) · Business (2 works) · Civil engineering (2 works) · Computer Science (2 works) · Econometrics (2 works)