Work for a Member company and need a Member Portal account? Register here with your company email address.
CityFlow is a versatile tool that allows users to design, evaluate, and visualize urban solutions through an llm-integrated, case-based system. Leveraging Python and JavaScript modules, CityFlow empowers urban analysts, city planners, and researchers to address real-world city challenges by creating customized workflows for urban problem-solving.
Demo: http://cityflow.media.mit.edu/
Github: https://github.com/CityScope/CS_cityflow.git
CityFlow provides a low-code environment that enables urban analysts to develop and test city models with minimal coding effort.
CityFlow incorporates an AI-powered module builder that assists users in coding custom Python and JavaScript modules. Through natural language inputs, the system helps generate and optimize code, making it easier for users to create complex workflows and solutions for urban problems without extensive programming knowledge.
CityFlow fosters a collaborative research community where experts, city planners, and urban scientists can share findings, workflows, and case studies. By contributing to an evolving database of urban design solutions, users help drive innovation in city science, enabling others to replicate or adapt successful approaches to urban development.