I was recently selected by Katie Carroll, Head of Community at LinkedIn to contribute to an Artificial intelligence (AI) generated article regarding urban planning in a digital community campaign highlighting AI and human knowledge sharing. I was asked to add examples from my experience, in hopes in sharing a different opinion or expanding on ideas generated by AI.
The article was based on two questions answered by the AI, in which I was asked to expand on within a 750 word limit. The following are the two questions:
How do you adapt to feedback from urban design interventions? and;
How can you avoid common urban design mistakes in urban planning?
Urban design interventions encompass purposeful alterations to a city or neighborhood’s physical, social, or economic dimensions, with the overarching goal of enhancing its livability, sustainability, or allure. These interventions span a spectrum, ranging from modest initiatives like parklets, bike lanes, or street art to more extensive endeavors such as the implementation of new transit systems, mixed-use developments, or waterfront revitalization projects. However, it is essential to recognize that urban design interventions are not static or definitive in nature; they are inherently dynamic and iterative processes. As such, they demand continual vigilance, assessment, and adjustment, fueled by insights gleaned from a multitude of sources. So, how do you adapt to feedback from urban design interventions?
The AI generated some tips and examples to provide to readers.