Deng Ai , Haofeng Wang , Da Kuang , Xiuqi Zhang , Xiaojun Rao
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引用次数: 0
摘要
准确测量城市公共空间的活力分布,评估景观元素的吸引力指数,可以提高公共空间设计的精确度,合理规划城市微更新策略。本研究介绍了一种基于 SLAM 算法的三维视觉暴露分析方法,并将其应用于澳门的两个广场,计算寻路决策与视觉暴露之间的关系。研究结果表明,视觉暴露程度(从观察者角度看)和等视场面积(从物体角度看)均可统计出空间的吸引力指数。因此,可以构建场地的吸引力地图。这项研究有效地捕捉了现实世界中的行走轨迹和视觉数据,将特定地点和行人信息整合到数字孪生系统中。这种方法不仅推进了定量方法的发展,还促进了公共空间使用的入住后评估和环境行为研究,从而拓展了该领域未来研究的潜力。
Measuring pedestrians' movement and building a visual-based attractiveness map of public spaces using smartphones
Accurately measuring the distribution of vitality in urban public spaces and evaluating the attractiveness index of landscape elements can enhance the precision of public space design and the rational planning of urban microupdate strategies. This study introduces a method based on the SLAM algorithm to create a 3D visual exposure analysis and applied in two squares in Macau to calculate the relationship between pathfinding decisions and visual exposure. The results demonstrate that both the extent of visual exposure (seen from the observer) and the area of isovist field (seen from the object) can statistically indicate the attractiveness index of a space. Consequently, an attractiveness map of the site can be constructed. This study effectively captures walking trajectories and visual data in real-world settings, integrating site-specific and pedestrian information into a digital twin system. This approach not only advances quantitative methodologies but also facilitates postoccupancy evaluations of public space usage and environmental behavior research, thereby expanding the potential for future investigations in this domain.
期刊介绍:
Computers, Environment and Urban Systemsis an interdisciplinary journal publishing cutting-edge and innovative computer-based research on environmental and urban systems, that privileges the geospatial perspective. The journal welcomes original high quality scholarship of a theoretical, applied or technological nature, and provides a stimulating presentation of perspectives, research developments, overviews of important new technologies and uses of major computational, information-based, and visualization innovations. Applied and theoretical contributions demonstrate the scope of computer-based analysis fostering a better understanding of environmental and urban systems, their spatial scope and their dynamics.