AI-Driven Decision Support System for Green and Sustainable Urban Planning in Smart Cities

[1] Langemeyer, J., Wedgwood, D., McPhearson, T., et al. (2020). Creating urban green infrastructure where it is needed–A spatial ecosystem service-based decision analysis of green roofs in Barcelona. Science of the Total Environment, 707, 135487. Search in Google Scholar

[2] Moradi, S., Yousefi, H., Noorollahi, Y., et al. (2020). Multi-criteria decision support system for wind farm site selection and sensitivity analysis: Case study of Alborz Province, Iran. Energy Strategy Reviews, 29, 100478. Search in Google Scholar

[3] Govindan, K., Mina, H., Alavi, B. (2020). A decision support system for demand management in healthcare supply chains considering the epidemic outbreaks: A case study of coronavirus disease 2019 (COVID-19). Transportation Research Part E: Logistics and Transportation Review, 138, 101967. Search in Google Scholar

[4] Habibie, M. I., Noguchi, R., Shusuke, M., et al. (2021). Land suitability analysis for maize production in Indonesia using satellite remote sensing and GIS-based multicriteria decision support system. GeoJournal, 86, 777-807. Search in Google Scholar

[5] Zhai, Z., Martínez, J. F., Beltran, V., et al. (2020). Decision support systems for agriculture 4.0: Survey and challenges. Computers and Electronics in Agriculture, 170, 105256. Search in Google Scholar

[6] Van Oijstaeijen, W., Van Passel, S., Cools, J. (2020). Urban green infrastructure: A review on valuation toolkits from an urban planning perspective. Journal of Environmental Management, 267, 110603. Search in Google Scholar

[7] La Rosa, D., Pappalardo, V. (2020). Planning for spatial equity-A performance-based approach for sustainable urban drainage systems. Sustainable Cities and Society, 53, 101885. Search in Google Scholar

[8] Ronchi, S., Arcidiacono, A., Pogliani, L. (2020). Integrating green infrastructure into spatial planning regulations to improve the performance of urban ecosystems. Insights from an Italian case study. Sustainable Cities and Society, 53, 101907. Search in Google Scholar

[9] Omer, M. A. B., & Noguchi, T. (2020). A conceptual framework for understanding the contribution of building materials in the achievement of Sustainable Development Goals (SDGs). Sustainable Cities and Society, 52, 101869. Search in Google Scholar

[10] Lin, J., Li, L., Luo, X. R., et al. (2020). How do agribusinesses thrive through complexity? The pivotal role of e-commerce capability and business agility. Decision Support Systems, 135, 113342. Search in Google Scholar

[11] Sun, M., & Zhang, J. (2020). Research on the application of blockchain big data platform in the construction of new smart city for low carbon emission and green environment. Computer Communications, 149, 332-342. Search in Google Scholar

[12] Dembski, F., Wössner, U., Letzgus, M., et al. (2020). Urban digital twins for smart cities and citizens: The case study of Herrenberg, Germany. Sustainability, 12(6), 2307. Search in Google Scholar

[13] Mohamed, E. S., Belal, A. A., Abd-Elmabod, S. K., et al. (2021). Smart farming for improving agricultural management. The Egyptian Journal of Remote Sensing and Space Science, 24(3), 971-981. Search in Google Scholar

[14] Li, C. Z., Chen, Z., Xue, F., et al. (2021). A blockchain-and IoT-based smart product-service system for the sustainability of prefabricated housing construction. Journal of Cleaner Production, 286, 125391. Search in Google Scholar

[15] Musen, M. A., Middleton, B., & Greenes, R. A. (2021). Clinical decision-support systems. In M. A. Musen, B. Middleton, & R. A. Greenes (Eds.), Biomedical informatics: computer applications in health care and biomedicine (pp. 795-840). Cham: Springer International Publishing. Search in Google Scholar