![]() The ability to benchmark and monitor cities across the planet revealed a hard truth: City leaders and their partners must do more to build healthy and sustainable places. This work recently culminated in a series of articles on urban design, transport, and health published in The Lancet Global Health. And anyone can repurpose this software anywhere in the world. We developed free, open-source software to process the data and calculate indicators derived from the UN’s sustainable development goals. ![]() This was important because we relied heavily on open data, including the Global Human Settlement Layer (for urban boundaries), OpenStreetMap (for street networks and amenities), and the General Transit Feed Specification (for public transit stops and timings). We convened an international network of collaborators for data sourcing and validation of our input and output data. ![]() In a recent project, my colleagues and I set out to address this problem with new, reproducible tools to calculate urban indicators more consistently around the world. ![]() The net result is a dearth of consistent, reproducible indicators for healthy, sustainable cities. Third, advanced spatial analysis requires technical expertise, expensive software, and lots of data-obstacles in every city, but particularly so in less-resourced places. Second, the necessary data do not always exist, and the data that do exist may not be publicly available or consistent. First, indicators are needed at both the neighborhood and city scale to conduct within-city and between-city analyses. Unfortunately, spatial indicators are hard to create. ![]() Using indicators of these kinds of urban characteristics can allow planners to target interventions, compare their performance to other cities (benchmarking), and measure progress toward goals over time (monitoring). But what do healthy, sustainable cities look like? Common elements include safe and affordable housing, walkable streets, useful public transit, and access to daily living needs and green spaces. ![]()
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