The nature of planning involves a set of decision-making processes to fulfill people’s needs and expectations of where they live, work, and play. Dealing with the nature of planning—complexity, uncertainty, and disagreement—requires specific tools to explore various aspects of the built environment as a whole. Various types of data have been extracted, transformed, and loaded to describe the past and current conditions of the built environment, and planners have developed and applied data-driven planning tools to explore the knowns and unknowns of the urban futures and transform them into a set of actions based on the goals with consensus. This article identifies the evolution of systematic ways of collecting data, setting up criteria, and analyzing them according to the contextual features of planning tools, focusing on where the field is headed for planning.
"From the Abacus to Big Data: The Evolution of Data-Driven Planning in the U.S. and Where the Field will be Headed,"
Journal of Comparative Urban Law and Policy: Vol. 5
, Article 32, 401-424.
Available at: https://readingroom.law.gsu.edu/jculp/vol5/iss1/32