摘要
预测空间中的人流密度对空间布局、交通组织、节能管理等均具有重要意义。随着空间分析理论与计算机技术的发展,产生了多种空间人流密度预测方法,基本可分为自上而下的模型分析法与自下而上的智能体模拟法两大类。通过原理解析与实测数据比对,证实了在交通结构不明确、活动类型复杂的中小尺度公共空间的量化分析中,基于视域的多智能体模拟法在有效直观地预测人流密度方面优于自上而下的拓扑构型分析法。
It is of great significance to predict people density for effective management, traffic organization and design evaluation. With the development of spatial analysis theory and computer technology, many tools for predicting people density have been invented, which can be divided into two categories： top-down modelling and bottom-up simulation. Based on theoretical explanation and experimental data correlation, it is verified that in block and building scale spaces which are not organized as street structure and hold various kind of people movements, the bottom-up isovist based multi-agent simulation excels top-down spatial configuration analysis in effectively predicting the optional activity people density.
作者
董嘉
李力
韩冬青
DONG Jia;LI Li;HAN Dongqing
出处
《新建筑》
2018年第3期90-93,共4页
New Architecture
基金
国家自然科学基金项目(51578123)
东南大学新进教师人才引进启动项目(1101007127)
关键词
人流密度
构型分析
多智能体模拟
定位系统
空间句法
people density
configurational analysis
multi-agent simulation
positioningsystem
space syntax
