秋山祐樹
东京都市大学建筑与城市设计学院,城市与土木工程系教授
联系方式
akiyamay@tcu.ac.jp
教学背景
东京大学博士
- 41 次浏览
部分发表物
Visitation-based classification of urban parks through mobile phone big data in Tokyo, Applied Geography, 167, 103300, 2024.
Examining Model Generality of Instance Segmentation for Building Mapping in Satellite Images - Case Study for Tokyo and Bangkok, IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, pp. 5724-5727, 2023.
T., Accuracy of vacant housing detection models: An empirical evaluation using municipal and national census datasets, Transactions in GIS, 26(7), 3003-3027, 2022.
Development of Detailed Building Distribution Map to Support Smart City Promotion -An Approach Using Satellite Image and Deep Learning-, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4/W3-2022, 189-196, https://doi.org/10.5194/isprs-annals-X-4-W3-2022-189-2022, 2022.
(1) Seasonal variations of park visitor volume and park service area in Tokyo: A mixed-method approach combining big data and field observations, Urban Forestry & Urban Greening, 126973, 2021.
(2) Improving the 3D Model Accuracy with a Post-Processing Kinematic (PPK) method for UAS surveys, Geocarto International, DOI: 10.1080/10106049.2021.1882004, 2021.
(3) Delineating urban park catchment areas using mobile phone data: A case study of Tokyo, Computers, Environment and Urban Systems, 81, 101474, 2020.
(4) The Size Distribution of ‘Cities’ Delineated with a Network Theory‐based Method and Mobile Phone GPS Data, International Journal of Economic Theory, 2020, 1-13, 2020.
(5) A Detailed Method to Estimate Inter-regional Capital Flows Using Inter-firm Transaction and Person Flow Big Data, Asia-Pacific Journal of Regional Science, 4, 219–239, 2020.
(6) Estimating the Spatial Distribution of Vacant Houses using Public Municipal Data, Geospatial Technologies for Local and Regional Development, 165-183, 2020.
(7) Spatial Distribution and Relocation Potential of Isolated Dwellings in Japan Using Developed Micro Geodata，Asia-Pacific Journal of Regional Science, 3(5), 1-17, 2019
(8) Development of Micro Population Data for Each Building: Case Study in Tokyo and Bangkok, 2019 First International Conference on Smart Technology and Urban Development (STUD), 1-6, 2019.
(9) Development of Building Micro Geodata for Earthquake Damage Estimation, IGARSS 2019 Proceedings (ISBN 978-1-5386-9154-0),5528-5531, 2019.
(10) Event Detection Using Mobile Phone Mass GPS Data and Their Reliability Verification by DMSP/OLS Night light Image, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, III-2, 77-84, 2016.
研究兴趣
·空间信息科学
·土建工程（城市与交通分析与管理）
·地理学（城市和商业地理学）
·统计量
·数据科学
我的研究的特点是收集、分析和可视化各种时空信息，以理解真实空间中的现象，我参与了许多涉及城市和地区的分析和评估以及规划支持的研究项目。我们所处理的空间信息是多样化的，包括各种开放数据、大数据、微观地理数据、统计信息和地方政府持有的公共数据。这些数据的处理包括编程和数据库技术、各种统计分析知识（聚类、人工智能、机器学习、深度学习等）的知识，以及利用GIS（地理信息系统）可视化分析结果的技术。所有这些研究都是通过基于空间统计方法对城市和地区相关的具体问题分析各种统计和数据，并在必要时开发和分析新数据来实现的。此外，通过与私营企业和地方政府合作，为社会实现这些成果，我们的目标是在现实空间中快速应用和解决各种社会问题。
Visitation-based classification of urban parks through mobile phone big data in Tokyo, Applied Geography, 167, 103300, 2024.
Examining Model Generality of Instance Segmentation for Building Mapping in Satellite Images - Case Study for Tokyo and Bangkok, IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, pp. 5724-5727, 2023.
T., Accuracy of vacant housing detection models: An empirical evaluation using municipal and national census datasets, Transactions in GIS, 26(7), 3003-3027, 2022.
Development of Detailed Building Distribution Map to Support Smart City Promotion -An Approach Using Satellite Image and Deep Learning-, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4/W3-2022, 189-196, https://doi.org/10.5194/isprs-annals-X-4-W3-2022-189-2022, 2022.
(1) Seasonal variations of park visitor volume and park service area in Tokyo: A mixed-method approach combining big data and field observations, Urban Forestry & Urban Greening, 126973, 2021.
(2) Improving the 3D Model Accuracy with a Post-Processing Kinematic (PPK) method for UAS surveys, Geocarto International, DOI: 10.1080/10106049.2021.1882004, 2021.
(3) Delineating urban park catchment areas using mobile phone data: A case study of Tokyo, Computers, Environment and Urban Systems, 81, 101474, 2020.
(4) The Size Distribution of ‘Cities’ Delineated with a Network Theory‐based Method and Mobile Phone GPS Data, International Journal of Economic Theory, 2020, 1-13, 2020.
(5) A Detailed Method to Estimate Inter-regional Capital Flows Using Inter-firm Transaction and Person Flow Big Data, Asia-Pacific Journal of Regional Science, 4, 219–239, 2020.
(6) Estimating the Spatial Distribution of Vacant Houses using Public Municipal Data, Geospatial Technologies for Local and Regional Development, 165-183, 2020.
(7) Spatial Distribution and Relocation Potential of Isolated Dwellings in Japan Using Developed Micro Geodata，Asia-Pacific Journal of Regional Science, 3(5), 1-17, 2019
(8) Development of Micro Population Data for Each Building: Case Study in Tokyo and Bangkok, 2019 First International Conference on Smart Technology and Urban Development (STUD), 1-6, 2019.
(9) Development of Building Micro Geodata for Earthquake Damage Estimation, IGARSS 2019 Proceedings (ISBN 978-1-5386-9154-0),5528-5531, 2019.
(10) Event Detection Using Mobile Phone Mass GPS Data and Their Reliability Verification by DMSP/OLS Night light Image, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, III-2, 77-84, 2016.
研究兴趣
·空间信息科学
·土建工程（城市与交通分析与管理）
·地理学（城市和商业地理学）
·统计量
·数据科学
我的研究的特点是收集、分析和可视化各种时空信息，以理解真实空间中的现象，我参与了许多涉及城市和地区的分析和评估以及规划支持的研究项目。我们所处理的空间信息是多样化的，包括各种开放数据、大数据、微观地理数据、统计信息和地方政府持有的公共数据。这些数据的处理包括编程和数据库技术、各种统计分析知识（聚类、人工智能、机器学习、深度学习等）的知识，以及利用GIS（地理信息系统）可视化分析结果的技术。所有这些研究都是通过基于空间统计方法对城市和地区相关的具体问题分析各种统计和数据，并在必要时开发和分析新数据来实现的。此外，通过与私营企业和地方政府合作，为社会实现这些成果，我们的目标是在现实空间中快速应用和解决各种社会问题。