  In this article, we explore two effective means to communicate the concept of
walkability - 1) visualization, and 2) descriptive statistics. We introduce the
concept of walkability as measuring the quality of an urban space based on the
distance needed to walk from that space to a range of different social,
environmental, and economic amenities. We use Dublin city as a worked example
and explore quantification and visualization of walkability of various areas of
the city. We utilize the Google Map API and Tableau to visualize the less
walkable areas across Dublin city and using WLS regression, we assess the
effects of unwalkability on house prices in Dublin, thus quantifying the
importance of walkable areas from an economic perspective.
