Tuesday 02.06.18
Quantitative metrics can explain choices and outcomes in urban systems. Understanding the relationships between spatial planning and the factors that can guide a team of urban planners to design new cities or regenerate existing ones is very useful but often complex. In OHK's work in urban design, we often presented "scale comparisons" of planning areas with statements like "the area of planning is the size of London." It is telling to compare the characteristics of land development in China or Dubai to a mature city in Europe. From our experience, this narrative does not always advance analytics that makes it into the design process.
We conclude that metrics and data analytics are challenged as a practical planning tools and that using urban indicators, albeit useful, is not relevant in most work done by planning firms. In this respect, we see two challenges: (1) planners are not data mining experts, and the skill set required to plan a new urban core, a city, or a neighborhood does not include urban informatics or data modeling, and (2) even if the metrics are developed, there is a gap between having them and applying them— ex-ante to derive a planning decision.
OHK set out to develop a practitioner's framework to advance the application of metrics, indicators, and comparative quants in design. First, we wanted to reduce the complexity around determining which indicators to use and how to measure them, including source data and modeling techniques. The aim is to reduce the ex-post emphasis often associated with metrics and scientific and policy reviews and to streamline their use for urban design purposes. Secondly, to make the framework tool-ready, accessible, and not complicated for planners, city administrators, and urban experts to apply.
In response, OHK designed sets of accessible, standardized, and open-data indicators categorized around planning decision tiers. Each set comes with an established methodology. Applying any one indicator under a tier helps derive patterns and trends of urbanization and offers perspectives for early design decisions. Over the course of 2016, the OHK team, through a series of consulting assignments, expert reviews, and modeling techniques, developed and tested hundreds of metrics in the development and redevelopment of urban areas in cities around the world. An important distinction in the framework is that decisions are prospective and not retrospective -- not made after a plan is implemented but during planning.
The framework includes ten analytics tiers and 120 metrics or indicators to define an urban area and guide planning teams. Most recently, we piloted the framework to measure and characterize more than 50 municipal zones in Downtown Cairo's 3-million square urban fabric using a combination of high-resolution land datasets, on-ground surveys, and analytical research into the spatial, economic, population, and sustainability characteristics. These zones were delineated and then analyzed in spatial and socioeconomic terms, and a regeneration master plan was derived using metrics during the planning and not after the fact.
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