Algorithmic urban planning

Algorithmic urban planning refers to the use of computational algorithms and data analysis techniques to design and optimize urban environments. This approach leverages large datasets and advanced modeling tools to create efficient, sustainable, and adaptive urban plans, addressing complex challenges such as traffic congestion, land use, resource allocation, and environmental impact. By integrating data-driven insights, algorithmic urban planning aims to improve the livability and functionality of cities through evidence-based decision-making, thereby improving urban sustainability.

[Photo/Science Direct]

Source: <https://www.sciencedirect.com/science/article/pii/S2210670723001737>

Edited and Translated by Ma Chenshuo