Big data is adding a whole new dimension to public spaces – here’s how

 at the Conversation: “Most of us encounter public spaces in our daily lives: whether it’s physical space (a sidewalk, a bench, or a road), a visual element (a panorama, a cityscape) or a mode of transport (bus, train or bike share). But over the past two decades, digital technologies such as smart phones and the internet of things are adding extra layers of information to our public spaces, and transforming the urban environment.

Traditionally, public spaces have been carefully designed by urban planners and architects, and managed by private companies or public bodies. The theory goes that people’s attention and behaviour in public spaces can be guided by the way that architects plan the built environment. Take, for example, Leicester Square in London: the layout of green areas, pathways and benches makes it clear where people are supposed to walk, sit down and look at the natural elements. The public space is a given, which people receive and use within the terms and guidelines provided.

While these ideas are still relevant today, information is now another key material in public spaces. It changes the way that people experience the city. Uber shows us the position of its closest drivers, even when they’re out of sight; route-finding apps such as Google Maps helps us to navigate through unfamiliar territory; Pokemon Go places otherworldly creatures on the pavement right before our eyes.

But we’re not just receiving information – we’re also generating it. Whether you’re “liking” something on Facebook, searching Google, shopping online, or even exchanging an email address for Wi-Fi access; all of the data created by these actions are collected, stored, managed, analysed and brokered to generate monetary value.

Data deluge

But as well as creating profits for private companies, these data provide accurate and continuous updates of how society is evolving, which can be used by governments and designers to manage and design public spaces.

Before big data, the architects designed spaces based on mere assumptions about how people were likely to use them. Success was measured by “small”, localised data methods, such as post-occupancy evaluations, where built projects are observed during their use and assessed against the designers’ original intentions, as well as fitness for purpose and performance. For the most part, the people who used public spaces did not have a say in how they were designed or managed….(More)”