ABSTRACT摘要 The research on urban form and its related socio-economic activities have been undertaken for long,while the evolution of research approaches and tools are limited by the conventional medium such as maps to interpret the built environment. Emerging new urban data has equipped urban morphologists with innovative datasets for urban form studies. 对城市形态及其相关社会经济活动的研究已经进行了很长时间,但研究方法和工具的发展却受到地图等传统媒介解释建筑环境的限制。新兴的城市数据为城市形态研究提供了创新的数据集。 This paper aims to explore the relationship between urban form, and human movement flows through a new perspective, which integrates quantitative data generated from space syntax with new urban data in GIS using Multi-Criteria Decision Analysis (MCDA). 本文旨在通过空间句法生成的定量数据与基于多准则决策分析(MCDA)的GIS新城市数据相结合的新视角,探讨城市形态与人类活动之间的关系。 Xi’an, as one of the most renowned historic cities in China, is selected as the case since the city has undergone an unprecedented transformation of urban form in recent years. 西安,作为中国最著名的历史城市之一,自被选为案例以来,近年来,经历了前所未有的城市形态转变。 In this study, the space syntax model of Xi’an is built primarily based on the OpenStreetMap (OSM) with further refinement by the Baidu Map. The Point of Interest (POI) data acquired from the Baidu Map API serves as the main datasets for the criterion of MCDA. 本研究主要基于OpenStreetMap (OSM)构建西安市的空间句法模型,并通过百度地图进行细化。从百度地图API获取的POI数据作为MCDA标准的主要数据集。 The social data of human movement flow is gathered by the gate observation in three representative areas in Xi’an. The correlation analysis with observation data is employed to compare the result of original space syntax analysis and MCDA.通过对西安市三个代表性区域的大门观测,收集了人体流动的社会数据。并与观测数据进行相关分析,比较原始空间句法分析与MCDA的结果。 The findings suggest that the new perspective can facilitate the quantifying process and enhance the comprehensive understanding of urban form. based on the research, recommendations for further studies and urban planning of Xi’an are discussed.研究结果表明,新的视角有助于量化过程,提高对城市形态的全面认识,同时在此基础上,对西安市未来的研究和城市规划提出了建议。
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