MORI Tomoya
Research field:Professor, Kyoto Institute of Economic Research, Kyoto University
MORI Tomoya
Research field:Professor, Kyoto Institute of Economic Research, Kyoto University
Research Field
Urban and regional economics
Selected Publications
- 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)
- Centrality bias in inter-city trade. Regional Science and Urban Economics109: 104060, 2024; DOI: 10.1016/j.regsciurbeco.2024.104060 (with J. Wrona)
- 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)
- 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)
- 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)
DENG Claire Xiaoying
Research field:Associate Professor,Henley Business School, University of Reading
DENG Claire Xiaoying
Research field: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.
MU Dongyuan
Research field:Researcher, Japan Real Estate Institute
MU Dongyuan
Research field:Researcher, Japan Real Estate Institute
OGAWA Yoshiki
Research field:Associate Professor, Center for Spatial Information Science, The University of Tokyo
OGAWA Yoshiki
Research field: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.
YAO Yao
Research field:Professor, School of Geography and Information Engineering, China University of Geosciences (Wuhan)
YAO Yao
Research field: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
ZHANG Haoran
Research field:School of Urban Planning and Design, Peking University
ZHANG Haoran
Research field:School of Urban Planning and Design, Peking University
Research Field
- Urban data analytics and GIS-based urban planning.
- 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)
