Yuki Akiyama
Biographic Data
| ID | 6505733 |
|---|---|
| NAME | Yuki Akiyama |
| GIVEN NAMES | Yuki |
| FAMILY NAME | Akiyama |
| SIGNATURE | AKIYAMA Y |
| AFFILIATIONS | Tokyo City University |
| ORCID | 0000-0002-8790-0364 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Unraveling the dynamics of urban park visits
Estimation of priority areas for vacant housing control using government statistics
Japan is currently confronting the critical social problem of an increasing number of vacant houses, driven by its super-aging society and declining birthrate. The proliferation of vacant houses entails significant risks, including structural collapse, the deterioration of local landscapes, and elevated crime rates, all of which negatively impact community welfare. In recent years, various measures have been implemented in Japan to tackle this pr…
Visitor Profile-oriented Urban Park Categorization
Conventional urban park categorizations often rely on size, environmental characteristics, and historical background, ignoring visitor characteristics due to a lack of empirical data. This study uses mobile phone data and distance-based cluster analysis to classify eighty-five urban parks in Tokyo, revealing four distinct categories based on visitor behavior, particularly home-park distance and visit frequency. The new categories revealed that pr…
Visitation-based classification of urban parks through mobile phone big data in Tokyo
Sophistication of Monitoring Method for Spatial Distribution of Vacant Houses Using Machine Learning
This study resolved the problem of Part 2 and refined the method for estimating the spatial distribution of vacant houses using public municipal data by addressing the following issues
Delineating urban park catchment areas using mobile phone data
Urban parks can offer both physical and psychological health benefits to urban dwellers and provide social, economic, and environmental benefits to society. Earlier research on the usage of urban parks relied on fixed distance or walking time to delineate urban park catchment areas. However, actual catchment areas can be affected by many factors other than park surface areas, such as social capital cultivation, cultural adaptation, climate and se…
No prominent works on this page.
Delineating urban park catchment areas using mobile phone data
Urban parks can offer both physical and psychological health benefits to urban dwellers and provide social, economic, and environmental benefits to society. Earlier research on the usage of urban parks relied on fixed distance or walking time to delineate urban park catchment areas. However, actual catchment areas can be affected by many factors other than park surface areas, such as social capital cultivation, cultural adaptation, climate and se…
Sophistication of Monitoring Method for Spatial Distribution of Vacant Houses Using Machine Learning
This study resolved the problem of Part 2 and refined the method for estimating the spatial distribution of vacant houses using public municipal data by addressing the following issues
Visitation-based classification of urban parks through mobile phone big data in Tokyo
Estimation of priority areas for vacant housing control using government statistics
Japan is currently confronting the critical social problem of an increasing number of vacant houses, driven by its super-aging society and declining birthrate. The proliferation of vacant houses entails significant risks, including structural collapse, the deterioration of local landscapes, and elevated crime rates, all of which negatively impact community welfare. In recent years, various measures have been implemented in Japan to tackle this pr…
Visitor Profile-oriented Urban Park Categorization
Conventional urban park categorizations often rely on size, environmental characteristics, and historical background, ignoring visitor characteristics due to a lack of empirical data. This study uses mobile phone data and distance-based cluster analysis to classify eighty-five urban parks in Tokyo, revealing four distinct categories based on visitor behavior, particularly home-park distance and visit frequency. The new categories revealed that pr…
Unraveling the dynamics of urban park visits
Mobile phone (4 works) · Geography (3 works) · Phone (3 works) · Urban area (3 works) · Cartography (2 works) · Computer Science (2 works) · Human Mobility and Location-Based Analysis (2 works) · Impact of Light on Environment and Health (2 works) · Land Use and Ecosystem Services (2 works) · Place Attachment and Urban Studies (2 works)