Members

NAKAGAWA Mariko

Research field:Assistant Professor, Institute of Economic Research, Hitotsubashi University

Research Field

Spatial Economics, Urban Economics, Regional Economics

Selected Publications

https://hri.ad.hit-u.ac.jp/html/100001384_research_activity_en.html

KIM Hongjik

Research field:Assistant Professor, Institute for Advanced Study, Hitotsubashi University

Research Field

Health Promotion, Aging in Place, Social Participation of Older Adults

Selected Publications

https://hri.ad.hit-u.ac.jp/html/100001953_research_activity_en.html

KOIZUMI Yusuke

Research field:Assistant Professor, Graduate School of Social Sciences, Hitotsubashi University

Research Field

Human Geography, Southeast Asian Studies, Social Mapping

Selected Publications

https://hri.ad.hit-u.ac.jp/html/100001708_research_activity_en.html

TAKANO Keisuke

Research field:Assistant Professor, Graduate School of Social Data Science, Hitotsubashi University

Research Field

Geographic Information System

Publications

Nakajima, K., & Takano, K. (2023). Estimating the effect of land use regulation on land price: At the kink point of building height limits in Fukuoka. Regional Science and Urban Economics, 103, 103955.
Takano, K. (2023). Path-dependence in the location of business agglomeration: Case of postwar land requisition. CSIS Discussion Paper Series, 181.
Takano, K., & Okamuro, H. (2021). Local R&D support as a driver of network diversification: A cross-regional comparison in Japan. Science and Public Policy, 48(6), 776-787.
Takano, K., & Okamuro, H. (2020). Place-based SME finance policy and local industrial revivals: An empirical analysis of a directed credit program after WW2 (No. E-2020-01). TDB-CAREE Discussion Paper.
Takano, K., Tsutsumi, M., & Kikukawa, Y. (2018). Spatial modeling of industrial location determinants in Japan: Empirical analysis using spatial econometric approaches. Review of Urban & Regional Development Studies, 30(1), 26-43.

LI Peiran

Research field:Assistant Professor, Institute for Advanced Study, Hitotsubashi University

Research Field

Spatial Information Science, Artificial Intelligence, Smart City, Human Mobility, Mobile Phone GPS Big Data

Publications

Li, P., Zhang, H., Li, W., Huang, D., Guo, Z., Chen, J., … & Koshizuka, N. (2025). GeoAvatar: A big mobile phone positioning data-driven method for individualized pseudo personal mobility data generation. Computers, Environment and Urban Systems, 119, 102252.
Li, W., Zhang, H., Chen, J., Li, P., Yao, Y., Shi, X., … & Shibasaki, R. (2022). Metagraph-based life pattern clustering with big human mobility data. IEEE Transactions on Big Data, 9(1), 227-240.
Zhang, H., Li, P., Zhang, Z., Li, W., Chen, J., Song, X., … & Yan, J. (2022). Epidemic versus economic performances of the COVID-19 lockdown: A big data driven analysis. Cities, 120, 103502.
Jin, Y., Li, P., Chen, Z., Bharule, S., Jia, N., Chen, J., … & Zhang, H. (2023). Understanding railway usage behavior with ten million GPS records. Cities, 133, 104117.
Li, P., Zhang, H., Guo, Z., Lyu, S., Chen, J., Li, W., … & Yan, J. (2021). Understanding rooftop PV panel semantic segmentation of satellite and aerial images for better using machine learning. Advances in applied energy, 4, 100057.

AKIYAMA Yuki

Research field:Specially Appointed Professor, Institute for Advanced Study, Hitotsubashi University

Research Field

Spatial information science, Civil engineering planning, Traffic engineering, Urban geography, Statistics, Data science

Publications

• Akiyama, Y., Yamada, T., Kokubo, K., Horiuchi J., and Akiyama, C, M. (2025). Bridging the Gap Between Tsunami Risk Awareness and Physical Vulnerabilities: A Data-Driven
• Approach for Disaster-Resilient Urban Planning, Digital-Era Urban Transformations: Advancements in Data Science, Analytics & Technology, Springer Nature Switzerland AG.(in press)
• Maneepong, K., Yamanotera, R., Akiyama. Y., Miyazaki, H., Miyazawa, S., and Akiyama, C. M. (2024). Open Data-Driven 3D Building Models for Micro-Population Mapping in a Data-Limited Setting, Remote Sensing, 16(21), 3922.
• Akiyama. Y., Tomita K., Mizutani, K., and Baba, H.（2024）. Proposal for Reducing the Burden of Field Surveys of Vacant Houses Using Municipal Owned Data and Machine Learning to Identify Spatial Distribution of Non-Vacant Houses-Case Study of Maebashi City, Gunma Prefecture-, Theory and Applications of GIS, 32(1), 13-24. (in Japanese)
• Sayuda,K., Hong, E., Akiyama, Y., Baba, H., Tokudomi, T. and Akatani, T. (2022). Accuracy of vacant housing detection models: An empirical evaluation using municipal and national census datasets, Transactions in GIS, 26(7), 3003-3027.
• Guan, C. H., Song, J., Keith, M., Zhang, B., Akiyama, Y., Liu, J., Shibasaki, R. and Sato, T. (2021). 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.

SUZUKI Masatomo

Research field:Specially Appointed Associate Professor, Institute for Advanced Study, Hitotsubashi University

Research Field

Housing, Real Estate, and Urban Economics, Urban Analysis

Publications

• Suzuki, M., Saito, H., Shimizu, C. (2025) “Price premium of the collective management of condominiums: Evidence from Tokyo,” Habitat International, 156, 103304.
• Suzuki, M., Ong, S. E., Asami, Y., Shimizu, C. (2023) “Long-Run Renewal of REIT Property Portfolio Through Strategic Divestment,” Journal of Real Estate Finance and Economics, 66, 1-40.
• Suzuki, M., Hino, K., Muto, S. (2022) “Negative externalities of long-term vacant homes: Evidence from Japan,” Journal of Housing Economics, 57, 101856.
• Suzuki, M., Shibata, A. (2022) “The economic premium of housing certificates aimed at promoting long-life property and transaction of existing housing in Japan,” Journal of Cleaner Production, 366, 132935.
• Suzuki, M., Asami, Y. (2019) “Shrinking metropolitan area: Costly homeownership and slow spatial shrinkage,” Urban Studies, 56(6), 1113-1128.

BABA Hiroki

Research field:Specially Appointed Associate Professor, Institute for Advanced Study, Hitotsubashi University

Research Field

Geographic Information Science, Real Estate Analysis

Publications

• Baba, H., Shimizu, C. (2023). The impact of apartment vacancies on nearby housing rents over multiple time periods: Application of smart meter data. International Journal of Housing Markets and Analysis, 16(7), 27-41.
• Baba, H., Asami, Y. (2022). Cost-efficient factors in local public spending: Detecting relationships between local environments, population size, and urban area category. Environment and Planning B: Urban Analytics and City Science, 49(1), 241–258.
• Baba, H., Asami, Y. (2020). Municipal Population Size and the Benefits of Intermunicipal Cooperation: Panel Data Evidence from Japan. Local Government Studies, 46(3), 371–393.
• Baba, H., Hino, K. (2019). Factors and tendencies of housing abandonment: An analysis of a survey of vacant houses in Kawaguchi City, Saitama. Japan Architectural Review, 2(3), 367–375.
• Baba, H., Asami, Y. (2017). Regional Differences in the Socio-economic and Built-environment Factors of Vacant House Ratio as a Key Indicator for Spatial Urban Shrinkage. Urban and Regional Planning Review, 4, 251–267.

HONDA Tomohito

Research field:Specially Appointed Associate Professor, Institute for Advanced Study, Hitotsubashi University

Research Field

Corporate Finance, Real Estate

Publications

• Honda, T. (2023). The effects of credit lines on cash holdings and capital investment: evidence from Japan. Journal of the Japanese and International Economies, 67, 101241.
• Honda, T., & Uesugi, I. (2022). COVID-19 and precautionary corporate cash holdings: Evidence from Japan. Japanese Journal of Monetary and Financial Economics, 10, 19-43.

MURAKAMI Daisuke

Research field:Specially Appointed Associate Professor, Institute for Advanced Study, Hitotsubashi University

Research Field

Spatial Statistics, Spatio-Temporal Modeling, Urban and Environmental Analysis

Publications

• 村上大輔 (2022) 「Rではじめる地理空間データの統計解析入門」, 講談社サイエンティフィック.
• Murakami, D., Griffith, D.A. (2019) Spatially varying coefficient modeling for large dataset: Eliminating N from spatial regressions. Spatial Statistics. 30, 39-64.
• Murakami, D., Yamagata, Y. (2019). Estimation of gridded population and GDP scenarios with spatially explicit statistical downscaling, Sustainability, 11 (7), 2106.
• Murakami, D., Kajita, M., Kajita, S., Matsui, T. (2021) Compositionally-warped additive mixed modeling for a wide variety of non-Gaussian spatial data. Spatial Statistics, 43, 100520.
• Murakami, D., & Griffith, D. A. (2015). Random effects specifications in eigenvector spatial filtering: a simulation study. Journal of Geographical Systems, 17, 311-331.