I work as a Senior Solution Engineer at LocationMind Inc., Tokyo, Japan. My work focuses on developing Geospatial AI solutions (e.g. LocationMind xPop, Smart Planning tools).
Contact
LocationMind Inc. 4F, PMO Kanda Tsukasa-machi Building, 2-8-1 Kanda Tsukasa-machi, Chiyoda-ku, Tokyo 101-0048, Japan miyazawa@locationmind.com
Research Interests
- Urban Computing
- Human Mobility
- Urban Brain
- Digital Earth
Projects
- Realizing Micro Population Data at the Building Scale in Developing Countries Using Satellite Image and AI
Previous Projects
- City-scale human mobility prediction model by integrating GPS trajectories and SNS data (dissertation theme)
- Extracting Urban Mobility QoL Indicators and Individual Activity Pattern from Mobile Phone-based Human Mobility Trajectories
- Estimating Changes of Expenditures Attributed to Human Mobility Changes (2021) https://www.covid19-ai.jp/en-us/organization/csis/articles/article002
- Using remote sensing to assess the damage mitigation effect of coastal forest in Sanriku coast and classification of the damage of coastal forest caused by the 2011 Tohoku Tsunami(2012)
- Modeling and analyzing the possible human trafficking routes in Arizona-Mexico border, including non-traditional transportation
- Modeling spatiotemporal urban spillover effect of high speed rail infrastructure development
Publications
2025
- Maneepong, K., Yamanotera, R., Akiyama, Y., Miyazaki, H., Miyazawa, S., & Akiyama, C. M. (2025). Towards High-Resolution Population Mapping: Leveraging Open Data, Remote Sensing, and AI for Geospatial Analysis in Developing Country Cities—A Case Study of Bangkok. Remote Sensing, 17(7), 1204. https://doi.org/10.3390/rs17071204
2024
- Maneepong, K., Yamanotera, R., Akiyama, Y., Miyazaki, H., Miyazawa, S., & Akiyama, C. M. (2024). Open Data-Driven 3D Building Models for Micro-Population Mapping in a Data-Limited Setting. Remote Sensing, 16(21), 3922. https://doi.org/10.3390/rs16213922
2023
- Chen, J., Shi, X., Zhang, H., Li, W., Li, P., Yao, Y., Miyazawa, S., Song, X., & Shibasaki, R. (2023). MobCovid: Confirmed Cases Dynamics Driven Time Series Prediction of Crowd in Urban Hotspot. IEEE Transactions on Neural Networks and Learning Systems, 1–14. https://doi.org/10.1109/TNNLS.2023.3268291
- Kawakami, Y., Nojiri, S., Nakamoto, D., Irie, Y., Miyazawa, S., Kuroki, M., & Nishizaki, Y. (2023). Novel indicator for the spread of new coronavirus disease 2019 and its association with human mobility in Japan. Scientific Reports, 13(1), 115. https://doi.org/10.1038/s41598-022-27322-4
2022
- Okada, K., Nishiyama, N., Akiyama, Y., Miyazaki, H., & Miyazawa, S. (2022). DEVELOPMENT OF DETAILED BUILDING DISTRIBUTION MAP TO SUPPORT SMART CITY PROMOTION -AN APPROACH USING SATELLITE IMAGE AND DEEP LEARNING–. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, X-4/W3-2022, 189–196. https://doi.org/10.5194/isprs-annals-X-4-W3-2022-189-2022
- Nakamoto, D., Nojiri, S., Taguchi, C., Kawakami, Y., Miyazawa, S., Kuroki, M., & Nishizaki, Y. (2022). The impact of declaring the state of emergency on human mobility during COVID-19 pandemic in Japan. Clinical Epidemiology and Global Health, 17, 101149. https://doi.org/10.1016/j.cegh.2022.101149
- Kanamori, Rie, Yuta Kawakami, Shuko Nojiri, Satoshi Miyazawa, Manabu Kuroki, and Yuji Nishizaki. 2022. “Changes in Social Environment Due to the State of Emergency and Go To Campaign during the COVID-19 Pandemic in Japan: An Ecological Study.” Edited by Michele Tizzoni. PLOS ONE 17 (4): e0267395. https://doi.org/10.1371/journal.pone.0267395.
2021
- Miharu Nakanishi, Ryosuke Shibasaki, Syudo Yamasaki, Satoshi Miyazawa, Satoshi Usami, Hiroshi Nishiura, and Atsushi Nishida. 2021. “COVID-19 and On-Site Dining in Tokyo: A Time-Series Analysis Using Mobile Phone Location Data (Preprint).” JMIR MHealth and UHealth, January. https://doi.org/10.2196/27342.
2020
- Miyazawa, S., Song, X., Jiang, R., Fan, Z., Shibasaki, R., and Sato, T.: CITY-SCALE HUMAN MOBILITY PREDICTION MODEL BY INTEGRATING GNSS TRAJECTORIES AND SNS DATA USING LONG SHORT-TERM MEMORY, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2020, 87–94, https://doi.org/10.5194/isprs-annals-V-4-2020-87-2020, 2020.
- Ayumi Arai, Apichon Witayangkurn, Hiroshi Kanasugi, Zipei Fan, Wataru Ohira, Silvino Pedro Cumbane, Satoshi Miyazawa, Saurav Ranjit, Mohamed Batran, and Ryosuke Shibasaki. (2020). Building a data ecosystem for using telecom data to inform the COVID-19 response efforts. Presented at the Data for Policy, Zenodo. http://doi.org/10.5281/zenodo.4291329
2019
- Tianqi Xia, Satoshi Miyazawa, Xuan Song, Yuki Akiyama, Renhe Jiang, Kyoung-sook Kim and Ryosuke Shibasaki (2019) ‘Mining heatstroke hotspot for inbound tourists in Tokyo’ The symposium of the International Association of Geo-informatics (IAG’i).
- Satoshi Miyazawa, Ryosuke Kobayashi, Yuki Akiyama and Ryosuke Shibasaki (2019) ‘Extracting Urban Mobility QoL Indicators and Individual Activity Pattern from Mobile Phone-based Human Mobility Trajectories’, The symposium of the International Association of Geo-informatics (IAG’i).
- Ryosuke Kobayashi, Satoshi Miyazawa, Yuki Akiyama, and Ryosuke Shibasaki. (2019) ‘Identification of the Homes , Offices , and Schools from Long-Interval Mobile Phone Big Data Using Mobility Pattern Clustering’. In P. Kyriakidis, D. Hadjimitsis, D. Skarlatos, & A. Mansourian (Eds.), Accepted Short Papers and Posters from the 22nd AGILE Conference on Geo-information Science (pp. 1–5). Limassol, Cyprus: Stichting AGILE.
- KE Seetha Ram and Satoshi Miyazawa. (2019) ‘Unlocking the spillover effect of Infrastructure and improving quality of life : new insights for private sector investment in developing countries in Asia’. In Proceedings of the 8th Civil Engineering Conference in the Asian Region (CECAR).
- Satoshi Miyazawa, Xuan Song, Tianqi Xia, Ryosuke Shibasaki, and Hodaka Kaneda. (2019) ‘Integrating GPS trajectory and topics from Twitter stream for human mobility estimation’, Frontiers of Computer Science, 13(3), 460-470. doi: 10.1007/s11704-017-6464-3.
2018
- Renhe Jiang, Xuan Song, Zipei Fan, Tianqi Xia, Quanjun Chen, Satoshi Miyazawa, and Ryosuke Shibasaki. (2018) ‘DeepUrbanMomentum : An Online Deep-Learning System for Short-Term Urban Mobility Prediction’. In Proceedings of the 32nd AAAI Conference (AAAI 2018)