Eigo Tateishi

Eigo Tateishi#

Consulting Geographer#

(Ph.D in Urban Studies)

Dr. Eigo Tateishi is a consulting geographer at the World Bank, currently affiliated with the Global Operations Support Team at the Bank’s headquarters in Washington, D.C. He actively contributes to international development projects, leveraging his expertise in geospatial analysis, urban transport planning, and policy consulting. In addition to his work in Washington H.Q., since April 2025, Dr. Tateishi has started supporting a range of initiatives at the World Bank’s Tokyo Disaster Risk Management (DRM) Hub in Tokyo.

With over seven years of experience, Dr. Tateishi specializes in both quantitative and qualitative geographical analysis, applying advanced GIS, GeoPython, and machine learning techniques to address complex urban challenges. His expertise in strategic urban-transport planning is reinforced by a strong academic background, reflected in his peer-reviewed publications in leading journals such as Cities.

Dr. Tateishi holds a Ph.D. in Urban Studies from Malmö University in Sweden, where he cultivated a robust foundation in spatial data analysis and urban development research. His academic rigor, combined with extensive hands-on experience in data-driven policymaking, enables him to effectively bridge the gap between cutting-edge geospatial technologies and practical urban policy implementation.

In his role at the World Bank, Dr. Tateishi applies his expertise to help generate global development projects, providing geospatial intelligence, distilling data-driven insights, and making strategic policy recommendations to enhance urban resilience and mobility.

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Products and Projects#

  1. SMOD Analyzer - A simple Python pipleine to analyze the GHS-SMOD dataset based on the Google Colab environment, helping basic urbanization analyses worldwide.

  2. urbanClassifier (to be updated) - A supervised Machine Learning pipeline to estimate urban typological structure using on-site sample data and building footprint data such as DigitizeAfrica and Google Open Buildings.

  3. Sustainable Development Practice Group Flagship Report on Making Cities Green, Resilient and Inclusive (P177249) - Contributed to a part of analyses on an ML-based estimation of informal settlement.

  4. DRC Country Partnership Framework (P162954) - Contributed to a major part of spatiotemporal analyses and spatial visualization of the relevant data.

Selected Publications#

  1. Tateishi, E. (2025). The Post-urbanization of Tokyo: Its Spatio-temporal Geography and Governance. Ph.D. Dissertation. Department of Urban Studies, Malmö University.

  2. Tateishi, E. (2024). The spatiotemporal socio-demography of the Tokyo capital region: A data-driven explorative approach. Review of Regional Research.

  3. Aoki, K., & Tateishi, E. (2022). Japanese real estate markets. pp.112–121 in The Routledge Companion to International Housing Markets (edited by Andersson, M., Palm, P., Bohman, H., Balivet, B., & Akinsomi, O).

  4. Tateishi, E., Takahashi, K., & Nakano, T. (2021). Governance reaction to the emerging megacity shrinkage in Tokyo: The case of the Tsukuba express transit-suburban region. Cities.

  5. Takahashi, K., Kudo, S., Tateishi, E., & Furukawa, N. (2018). Identifying Context-Specific Categories for visualizing livability of cities: A Case Study of Malmö. Challenges in Sustainability.

  6. Translation Work: How the World Bank is unlocking nature-based solutions in 100 cities

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