Data-Driven Urban Morphology Analysis: Indicators for Evaluating Maternal and Child Friendly Spaces

Abstract

<p>本研究旨在探討現行都市設計是否滿足婦女與兒童使用者的需求，以及「婦幼友善」程度是否能通過量化的方法進行客觀評估。並依據所導出之評估指標對實驗都市的樣本提供都市結構的改善建議。在本研究中，我們依據資料驅動的都市型態角度，透過蒐集國外四大都市的開放地圖資料，針對婦幼族群的使用需求，對都市的道路結構與服務設施的空間分布要素進行分析，以定義都市的「婦幼友善」指標。本研究展示了從都市地圖資料開始蒐集與研究目標相關的開放資訊，到統計與分析這些資訊，將主觀要素的「友善程度」定義並量化的過程，作為資料驅動都市設計的案例研究。並採取都市型態學研究中對道路組成的分析模式，統計道路的分段點與分段長度，計算具備婦幼友善的服務設施之間的道路組成情形。在實驗的後半段根據我們導出的「友善程度」指標，對國內之五大實驗都市進行婦幼友善程度的計算，再透過實驗性的設計改良以驗證其準確度。</p> <p> </p><p>This study aims to investigate the needs of children and their caregivers in cities and whether their needs can be quantified through objectively methods and improved according to the suggestions that is based on the indicators of their needs. In this research, we adopted a data-driven approach to urban morphology by collecting urban structure data on Open Street Map of four major cities and analyzed the traffic ways and service facilities according to the needs of children and their caregivers, for defining the "maternal and child friendly indicators” for cities. This study outlines the process of collecting and analyzing open data from urban geographical sources and quantifying "friendliness" as a case study in data-driven urban design. With the urban morphology approach, we analyzed the road composition by calculating the segmentation points and street lengths, as well as the distribution of maternal and child-friendly service facilities. After determining the indicators of maternal and child friendliness, we applied them to five cities in Taiwan to confirm their accuracy and provide improvement suggestions for more maternal and child-friendly environments.</p> <p> </p>