Rchr
J-GLOBAL ID:202401000591148791
Update date: Oct. 31, 2024
Fujita Tsuyoshi
フジタ ツヨシ | Fujita Tsuyoshi
Affiliation and department:
Research theme for competitive and other funds (11):
- 2013 - 2016 日本とアジアの都市の気候変動制御技術、政策のコベネフィット評価にかかわる研究
- 2010 - 2012 アジアのコベネフィット都市研究の解析方法論の構築と実証
- 2010 - 2012 アジアのコベネフィット都市研究の実践と解析手法の構築
- 2004 - 2005 Scenario Design of Urban Renewal by Improvement of Infrastructures for Regional Circulation and Construction of the Evaluation System
- 2003 - 2004 Evaluating Eco-efficiency of Environmentally Sound Advanced Loop-closing Business
- 1998 - 2000 環境配慮型の消費社会システムを内包した農住工有機系物質循環モデルの構築
- 1998 - 1999 地理情報システムを用いた都市環境政策の社会的費用便益評価モデルの構築
- 1998 - 1998 環境配慮型の消費社会システムを内包した農住工有機系物質循環モデルの構築
- 1997 - 1997 地球環境改善政策の社会経済影響を評価する流域ユニットの環境経済勘定体系の構築
- 1995 - 1996 STUDY ON LAND USE OPTIMIZATION MODEL TO IMPROVE EFFIVEINCY OF REGION-SCALE ENERGY SYSTEM
- 1995 - 1995 ヘドニック分析法を用いた都市環境資源の社会的価値の定量評価モデルの開発
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Papers (106):
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Laurenze John G. Estrada, Jun Nakatani, Toru Hayashi, Tsuyoshi Fujita. Life cycle assessment of construction and demolition waste management based on waste generation projections of residential buildings in Metro Manila, the Philippines. Cleaner Waste Systems. 2023
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Olalo, K.F., Nakatani, J., Fujita, T. Optimal Process Network for Integrated Solid Waste Management in Davao City, Philippines. Sustainability (Switzerland). 2022. 14. 4
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Maki, S., Fujii, M., Fujita, T., Shiraishi, Y., Ashina, S., Gomi, K., Sun, L., Budi Nugroho, S., Nakano, R., Osawa, T., et al. A deep reinforced learning spatiotemporal energy demand estimation system using deep learning and electricity demand monitoring data. Applied Energy. 2022. 324
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Sun, L., Liu, W., Li, Z., Cai, B., Fujii, M., Luo, X., Chen, W., Geng, Y., Fujita, T., Le, Y. Spatial and structural characteristics of CO2 emissions in East Asian megacities and its indication for low-carbon city development. Applied Energy. 2021. 284
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Wu, F., Geng, Y., Zhang, Y., Ji, C., Chen, Y., Sun, L., Xie, W., Ali, T., Fujita, T. Corrigendum to “Assessing sustainability of soybean supply in China: Evidence from provincial production and trade data” [J. Clean. Prod. (2020) 245 119006] (Journal of Cleaner Production (2020) 244, (S0959652619338764), (10.1016/j.jclepro.2019.119006)). Journal of Cleaner Production. 2021. 297
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