Building resilient cities with stringent pollution controls: A case study of robust planning of Shenzhen City’s urban agriculture system
Yang Zhou, Yang Zhou, Jing‐Cheng Han, Jie Li, Ya Zhou, Ya Zhou, Keyi Wang, Yuefei Huang
Journal of Cleaner Production
Urban Farm DB summary
This study focused on robust planning for Shenzhen City's urban agriculture system under stringent pollution controls, aiming to build resilient cities. A robust-optimization-based urban agriculture planning (ROB-UAP) model was developed and applied to Shenzhen City. Results indicated that under expected economic conditions, agricultural restructuring could increase the system's overall output by at least 8%. Furthermore, the total amount of major pollutants could be reduced in both risk-averse and risk-tolerant scenarios, highlighting the importance of robust decision-making for environmentally low-impact outcomes.