Ensuring liveability and comfort is one of the fundamental objectives of urban planning. Numerous studies have employed computational methods to assess and quantify factors related to urban comfort such as greenery coverage, thermal comfort, and walkability. However, a clear definition of urban comfort and its comprehensive evaluation framework remain elusive. Our research explores the theoretical interpretations and methodologies for assessing urban comfort within digital planning, emphasising three key dimensions: multidimensional analysis, data support, and AI assistance.

Radical automation of media set to change the way industry optimises digital. Zenith recently developed an automation of digital planning that delivers significant improvement in effectiveness for marketers and is set to fundamentally change the way that agencies and their clients optimise digital media. Over the past six months a taskforce of data scientists and strategists from Zenith has been developing sophisticated automation of digital planning using the network's machine-learning technology and bespoke algorithms. Marketers are currently faced with a confusing array of multi-touchpoint customer journeys, so Zenith has looked at how machine learning could be used to efficiently process large amounts of data and to automate the most complex and time-consuming aspects of digital planning. Using live Aviva campaigns, the taskforce collected advertising cookie data from the technology stack of a leading demand-side platform (DSP) and matched it with corresponding first party sales data.