一橋大学社会科学高等研究院 都市空間・不動産解析研究センター

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TAKANO Keisuke

Assistant Professor, Graduate School of Social Data Science, Hitotsubashi University

TAKANO Keisuke

Assistant Professor, Graduate School of Social Data Science, Hitotsubashi University

Research Field

Geographic Information System

Selected 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.

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LI Peiran

Assistant Professor, Institute for Advanced Study, Hitotsubashi University

LI Peiran

Assistant Professor, Institute for Advanced Study, Hitotsubashi University

Research Field

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

Selected 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.

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AKIYAMA Yuki

Specially Appointed Professor, Institute for Advanced Study, Hitotsubashi University

AKIYAMA Yuki

Specially Appointed Professor, Institute for Advanced Study, Hitotsubashi University

Research Field

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

Selected 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.
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SUZUKI Masatomo

Specially Appointed Associate Professor, Institute for Advanced Study, Hitotsubashi University

SUZUKI Masatomo

Specially Appointed Associate Professor, Institute for Advanced Study, Hitotsubashi University

Research Field

Housing, Real Estate, and Urban Economics, Urban Analysis

Selected 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.
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BABA Hiroki

Specially Appointed Associate Professor, Institute for Advanced Study, Hitotsubashi University

BABA Hiroki

Specially Appointed Associate Professor, Institute for Advanced Study, Hitotsubashi University

Research Field

Geographic Information Science, Real Estate Analysis

Selected 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.
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HONDA Tomohito

Specially Appointed Associate Professor, Institute for Advanced Study, Hitotsubashi University

HONDA Tomohito

Specially Appointed Associate Professor, Institute for Advanced Study, Hitotsubashi University

Research Field

Corporate Finance, Real Estate

Selected 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.
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MURAKAMI Daisuke

Specially Appointed Associate Professor, Institute for Advanced Study, Hitotsubashi University

MURAKAMI Daisuke

Specially Appointed Associate Professor, Institute for Advanced Study, Hitotsubashi University

Research Field

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

Selected 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.
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NISHI Hayato

Specially Appointed Assistant Professor, Institute for Advanced Study, Hitotsubashi University

NISHI Hayato

Specially Appointed Assistant Professor, Institute for Advanced Study, Hitotsubashi University

Research Field

Statistical Urban Analysis, Housing and Real Estate Market Analysis, Spatial Statistical Analysis

Selected Publications

  • Hayato Nishi, & Yasushi Asami (2024). “Stochastic gradient geographical weighted regression (sgGWR): Scalable bandwidth optimization for geographically weighted regression”. International Journal of Geographical Information Science, Vol. 38, Issue: 2 pp.354-380, https://doi.org/10.1080/13658816.2023.2285471
  • Nasushige Shiode, Shino Shiode, Hayato Nishi, & Kimihiro Hino (2023). “Seasonal characteristics of crime: an empirical investigation of the temporal fluctuation of the different types of crime in London”. Computational Urban Science, 3, 19. https://doi.org/10.1007/s43762-023-00094-x
  • Yoshifumi Wada, Yasushi Asami, Kimihiro Hino, Hayato Nishi, Shino Shiode, and Narushige Shiode. (2023). “Road Junction Configurations and the Severity of Traffic Accidents in Japan” Sustainability Vol. 15, Issue. 3: 2722. https://doi.org/10.3390/su15032722
  • Hayato Nishi, Yasushi Asami, Hiroki Baba, & Chihiro Shimizu (2023) “Scalable spatiotemporal regression model based on Moran’s eigenvectors”, International Journal of Geographical Information Science. Vol. 37, Issue: 1 pp.162-188, https://doi.org/10.1080/13658816.2022.2100891
  • Hayato Nishi, Yasushi Asami, Chihiro Shimizu, (2021) “The illusion of a hedonic price function: Nonparametric interpretable segmentation for hedonic inference”, Journal of Housing Economics, Vol. 52, https://doi.org/10.1016/j.jhe.2021.101764.
  • Hayato Nishi, Yasushi Asami, Chihiro Shimizu, (2019) “Housing features and rent: estimating the microstructures of rental housing”, International Journal of Housing Markets and Analysis, Vol. 12 Issue: 2, pp.210-225, https://doi.org/10.1108/IJHMA-09-2018-0067
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Adjunct Members

MORI Tomoya

Professor, Kyoto Institute of Economic Research, Kyoto University

MORI Tomoya

Professor, Kyoto Institute of Economic Research, Kyoto University

Research Field

Urban and regional economics

Selected Publications

  1. Common power laws for cities and spatial fractal structures. Proceedings of the National Academy of Sciences of the United States of America, 117 (12): 6469-6475; first published on line on March 6, 2020; DOI: 10.1073/pnas.1913014117 (with T.E. Smith, W.-T. Hsu)
  2. Centrality bias in inter-city trade. Regional Science and Urban Economics109: 104060, 2024; DOI: 10.1016/j.regsciurbeco.2024.104060 (with J. Wrona) 
  3. On the evolution of hierarchical urban systems. European Economic Review43(2): 209-251, 1999; DOI: 10.1016/S0014-2921(98)00066-X(with M. Fujita, P. Krugman)
  4. On the spatial scale of industrial agglomerations. Journal of Urban Economics89: 1-20, 2015; DOI: 10.1016/j.jue.2015.01.006(with T.E. Smith) 
  5. A divergence statistic for industrial localization. Review of Economics and Statistics87(4): 635-651, 2005; DOI: 10.1162/003465305775098170 (with K. Nishikimi, T.E. Smith)
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    DENG Claire Xiaoying

    Associate Professor,Henley Business School, University of Reading

    DENG Claire Xiaoying

    Associate Professor,Henley Business School, University of Reading

    Research Field

    Real Estate and PropTech, International Capital Flows and Investment, Corporate Finance and Asset Securitization, Household Finance, ESG and Green Finance

    Selected Publications

    “Shadow Banking, Risk Taking and Real Estate Financing: Evidence from Online Lending” with Chong Liu and Seow Eng Ong, Journal of Real Estate Finance and Economics, January 2024, 68, pp1–27. (Rising Star Award, Asian Real Estate Research Institute, 2019.

     

    “How do the Political Leanings of CEOs Affect REITs’ Operational Decisions?” with Paul Anglin, Yanmin Gao and Hua Sun, Journal of Real Estate Research, 2021, 43:4, 419-446.

     

    “Housing Rents and Household Consumption: Evidence from China” with Weizeng Sun and Guanghua Wan, Economic Research Journal (in Chinese), Decemember 2020.

     

    “Does Infrastructure Spending Cause Price Premia in Property Market? Evidence from Major Cities in India” with Anupam Nanda and Seow Eng Ong,Regional Studies, 2019, 53:12, 1747-1760.

     

    “Development of Characteristic Towns in China” with Yuzhe Wu, Yuxuan Chen, and Eddie CM Hui, Habitat International, July 2018, 77, 21-31.

     

    “Real Estate Risk, Corporate Investment and Financing Choice” with Seow Eng Ong and Meijun Qian, Journal of Real Estate Finance and Economics, July 2018, 57(1), 87–113. (Best Paper Award, ARES Annual Meeting, 2014)

     

    “Real Earnings Management, Liquidity and REITs SEO Dynamics” with Seow Eng Ong, Journal of Real Estate Finance and Economics, April 2018, 56(3), 410-442.

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    OGAWA Yoshiki

    Associate Professor, Center for Spatial Information Science, The University of Tokyo

    OGAWA Yoshiki

    Associate Professor, Center for Spatial Information Science, The University of Tokyo

    Research Field

    Geospatial AI, 3D urban modeling, Urban disaster resilience, Machine learning, Remote sensing, GIS

    Selected Publications

    ▪ Gill, A., Lalith, M., Hori, M., Ogawa, Y. (2024). Analysis of postdisaster economy using high-resolution disaster and economy simulations. Risk Analysis, 1–17.

    ▪ Ogawa, Y., Zhao, C., Oki, T., Sekimoto, Y., Shimizu, C. (2024). Evaluating the subjective perceptions of streetscapes using street-view images. Landscape and Urban Planning, 247, 105073.

    ▪ Zhao, C., Ogawa, Y., Oki, T., Chen, S., Sekimoto, Y. (2023). Quantitative land price analysis via computer vision from street view images. Engineering Applications of Artificial Intelligence, 123, 106294.

    ▪ Ogawa, Y., Zhao, C., Oki, T., Chen, S., Sekimoto, Y. (2023). Deep Learning Approach for Classifying the Built Year and Structure of Individual Buildings. IEEE JSTARS, 16, 1740–1755.

    ▪ Chen, S., Ogawa, Y., Zhao, C., Sekimoto, Y. (2023). Large-scale individual building extraction from open-source satellite imagery via super-resolution-based instance segmentation approach. ISPRS Journal of Photogrammetry and Remote Sensing, 195, 129–152.

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    YAO Yao

    Professor, School of Geography and Information Engineering, China University of Geosciences (Wuhan)

    YAO Yao

    Professor, School of Geography and Information Engineering, China University of Geosciences (Wuhan)

    Research Field

    Spatiotemporal big data, Geospatial artificial intelligence (GeoAI), Geospatial foundation model, Urban simulation

    Selected Publications

    Zhu K, Gu Y, Zhang Y, et al. From Street View Imagery to the Countryside: Large-Scale Perception of Rural China Using Deep Learning[J]. Annals of the American Association of Geographers, 2025: 1-22. (Corresponding author)

    Zhu G, Tang M, Ma Y, et al. LandGPT: a multimodal large language model for parcel-level land use classification with multi-source data[J]. International Journal of Geographical Information Science, 2025: 1-24. (Corresponding author)

    Yao Y, Liang L, Zhang Y, et al. Resilience Patterns of Multiscale Human Mobility Under Extreme Rainfall Events Using Massive Individual Trajectory Data[J]. Annals of the American Association of Geographers, 2025, 115(3): 578-602.

    Wu H, Jiang Z, Dong A, et al. DCAI-CLUD: a data-centric framework for the construction of land-use datasets[J]. International Journal of Geographical Information Science, 2024, 38(11): 2379-2402. (Corresponding author)

    Yao Y, Zhang H, Sun Z, et al. Fine-grained regional economic forecasting for a megacity using vector-based cellular automata[J]. International Journal of Applied Earth Observation and Geoinformation, 2023, 125: 103602.

     

    Website: https://www.urbancomp.net

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    ZHANG Haoran

    School of Urban Planning and Design, Peking University

    ZHANG Haoran

    School of Urban Planning and Design, Peking University

    Research Field

    1. Urban data analytics and GIS-based urban planning.
    2. Mobility and accessibility modeling for sustainable city development.

    Selected Publications

    •  GeoAvatar: A big mobile phone positioning data-driven method for individualized pseudo personal mobility data generation
      P. Li, H. Zhang, W. Li, D. Huang, Z. Guo, J. Chen, J. Zhang, X. Song, P. Zhao, …
      Computers, Environment and Urban Systems, 119, 102252 (2025)

     

    •  Utilizing mobile phone big data to simulate the impact of park boundary openness on accessibility
      W. Li, H. Zhang, W. Liu, J. Chen, P. Li, H.H. Kobayashi, X. Song, R. Shibasaki
      Cities, 156, 105547 (2025)

     

    •  A GIS-Based Framework for Synthesizing City-Scale Long-Term Individual-Level Spatial–Temporal Mobility
      Y. Yao, Y. Jiang, Q. Yu, J. Yuan, J. Li, J. Xu, S. Liu, H. Zhang
      ISPRS International Journal of Geo-Information, 13(7), 261 (2024)

     

    •  Using mobile phone big data to identify inequity of aging groups in transit-oriented development station usage: A case of Tokyo
      Z. Chen, P. Li, Y.X. Jin, S. Bharule, N. Jia, W. Li, X. Song, R. Shibasaki, …
      Transport Policy, 132, 65-75 (2023)

     

    •  Mobility tableau: Human mobility similarity measurement for city dynamics
      Y. Yao, H. Zhang, J. Chen, W. Li, R. Shibasaki, X. Song
      IEEE Transactions on Intelligent Transportation Systems, 24(7), 7108-7121 (2023)

     

    •  Enhancing PV panel segmentation in remote sensing images with constraint refinement modules
      H. Tan, Z. Guo, H. Zhang, Q. Chen, Z. Lin, Y. Chen, J. Yan
      Applied Energy, 350, 121757 (2023)

     

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