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.

翻译：本文探讨了传达步行适宜性概念的两种有效手段：1）可视化，及2）描述性统计。我们引入步行适宜性概念，即基于从某城市空间步行至一系列不同社会、环境及经济便利设施的距离来衡量该空间质量。以都柏林市为实证案例，研究该市各区域步行适宜性的量化与可视化。利用Google Map API与Tableau可视化都柏林市步行性较差的区域，并采用加权最小二乘回归评估不可步行性对都柏林房价的影响，从而从经济学角度量化步行友好区域的重要性。