Using Natural Language Processing to Read Plans A Study of 78 Resilience Plans From the 100 Resilient Cities Network

• Published in: Journal of the American Planning Association Vol. 89; no. 1; pp. 107 - 119
• Main Authors: Fu, Xinyu, Li, Chaosu, Zhai, Wei
• Format: Journal Article
• Language: English
• Published: Routledge 02.01.2023
• Subjects: machine learning; natural language processing; plan evaluation; urban resilience

Planners need to read plans to learn and adapt current practice. Planners may struggle to find time to read and study lengthy planning documents, especially in emerging areas such as climate change and urban resilience. Recently, natural language processing (NLP) has shown promise in processing big...