摘要
空间句法是研究城市空间与社会经济活动之间关系的一系列理论与技术,大数据时代便捷的数据获取使得空间句法研究成果能够快速应用于数据分析与设计实践。本文以吉林省吉林市轨道交通站点之一的朝阳广场为例,通过应用线段模型以及视域模型中的多智能体模拟工具,对广场内部及周边街道的交通流量和视域整合度进行了分析,并呈现了将分析结果应用于广场设计及方案评价的全过程,以期提升广场空间的使用率;本文同时展望了机器学习和人工智能等新技术在推进空间句法基础研究和设计应用方面的前景。
In the past decades, Space Syntax offers a series of theories and techniques to study the relationship between urban space and social-economic activities, and has been proved effective in analysis and design practices thanks to the open sources in the big data era. Taking the Chaoyang Square Renewal project in Jilin City, Jilin Province as an example, this article introduces the analyses of traffic volumes and visual integration of the square and the connected streets with modeling tools such as Segment Map and the intelligent multi-agent systems in Visibility Graph Analysis. All these analyses provided a basis for the full design process, from conceptual design to proposal evaluation, in order to activate this site through introducing pedestrian vitality. Prospects on new technologies in Artificial Intelligence, such as machine learning, are also explored to promote the research of Space Syntax and related application in urban design.
出处
《景观设计学（中英文）》
CSCD
2018年第2期102-113,共12页
Landscape Architecture Frontiers
关键词
空间句法
数据化设计
多源数据
交通流量
视域整合度
多智能体
Space Syntax
Data-Based Design
MuLti-Source Data
Traffic Flow
Visuat Integration
Intelligent Multi-Agent System
作者简介
k.karimi@spacesyntax.com
