(新)城市科学:利用新数据、新方法和新技术研究“新”城市
(New) Urban Science: Studying “New” Cities with New Data, Methods, and Technologies
作者:龙瀛 LONG Ying
摘要
以互联网产业化和工业智能化为标志、以技术融合为主要特征的第四次工业革命正以一系列颠覆性技术深刻地影响和改变着我们的城市:人们的思维方式从传统的机械思维向大数据思维转换,认知方式也逐渐向虚实结合的体验过渡,而我们赖以生存的城市,其资源利用、社会状况和空间利用也正经历着一系列变革。随着以计算机技术和多源城市数据为代表的新技术和新数据的迅猛发展,(新)城市科学在过去的十几年间逐渐兴起,成为一门融合了城市计算、人工智能、增强现实、人机交互等方向的交叉学科,为城市研究和城市规划设计带来了变革可能。目前全球范围内已涌现了多家聚焦于该领域的研究机构和多个研究项目。同时,世界各大院校也先后设置与(新)城市科学相关的学位、开设相关课程,培养更加符合新时代需求的新城市研究人才。
关键词
新城市科学;第四次工业革命;城市空间的重构与转型;大数据;颠覆性技术
Abstract
The Fourth Industrial Revolution is profoundly changing our cities with a series of disruptive technologies, characterized for the boom of Internet industries and the everyday application and wide integration of intelligent technologies. Individuals' traditional mechanical thinking has changed into a mindset based on big data, whose cognition also relies more and more on a combination of both virtual and physical reality experience. At the same time, cities, where we live, are witnessing a significant revolution in resource utilization, societal conditions, and spatial use. Along with the surge of new technologies and new data represented by computer technologies and multi-source urban data, the (new) Urban Science, as a transdisciplinary combination of urban computing, Artificial Intelligence, augmented reality, and human-computer interaction, rises over the past decade. Research institutions and programs on the (new) Urban Science are flourishing globally, and increasing related degree programs and courses are offered by colleges and universities worldwide to respond to the needs of this new era.
Key words
New Urban Science; The Fourth Industrial Revolution; Urban Space Restructuring and Transition; Big Data; Disruptive Technology
穿戴式相机在研究个体行为与建成环境关系中的应用
Application of Wearable Cameras in Studying Individual Behaviors in Built Environments
作者:张昭希,龙瀛 ZHANG Zhaoxi, LONG Ying
摘要
随着第四次工业革命的到来,人们开始不断探索新技术和新设备在研究个体行为与城市设计关系上的潜力。穿戴式相机的出现为监测个体在空间中的行为、形成个体"生命日志"提供了更多可能。本文以个体佩戴者为单位,探究穿戴式相机在研究个体行为与建成环境关系中的应用。研究通过人工识别、调用计算机视觉分析应用程序编程接口、利用Matlab进行色彩识别三种方式,对佩戴者在一周时间内收集到的8 598张照片进行了图像识别,并对比了三种方法的优劣势。随后,基于准确性较高的人工识别结果,研究对个体行为特征、时间分配、路径转移、场所事件等方面展开分析。研究表明,穿戴式相机采集的图片大数据库蕴含丰富的个体行为与时空信息,可以有效描述个体在空间中的行为特征,对研究个体行为与建成环境之间的关系具有重要意义。
关键词
可穿戴设备;时空间行为;生命日志;数字自我;图片大数据
Abstract
With the advent of the Fourth Industrial Revolution, people have begun to explore the potential for new technologies and new devices in studying the relationship between human behavior and urban design. The emergence of wearable cameras offers more possibilities for monitoring individual behavior in built environments as a kind of “lifelog.” This article explores the applications of wearable cameras in studying the relationship between individual behavior and built environments. Using manual image identification, image recognition with Computer Vision Application Programming Interface (API), and color calculation in Matlab, this study analyzed 8,598 photos recording the volunteer's behaviors and activities during a week. Based on high-accuracy manual image identification results, the research analyzed the volunteer's behavior, time use, movement path, and experiencing scenes. The study showed that the big data base of images collected by the wearable cameras contained rich individual activities and spatiotemporal information that could be used to effectively describe the individual behavior in space and further contribute to the study of the relationship between individual behaviors and built environments.
Key words
Wearable Device; Spatiotemporal Behavior; Lifelog; Quantified Self; Big Data of Pictures
无人机测量在景观设计科研与实践中的应用
UAV Measurement in Landscape Architecture Research and Practice
作者:李复,常贺星 LI Fu, CHANG Hexing
摘要
传统景观测量自动化程度较低,时间与人力成本较高。本文介绍了无人机测量在景观设计领域相关场景的前沿研究与实践应用进展,详细阐释了无人机测量在建立景观场地数字模型、分析与三维可视化的应用,展望了无人机在其他领域的应用可能对景观设计带来的启发。本文认为,相较于传统卫星测量和地面工程测量,配合传感器的无人机测量方式可快速获得相对高精确度、高分辨率和高时效的二维及三维数据,并为景观规划设计的分析提供多源数据支持,有效提升工作效率,与当前科研及实践流程高度融合。通过对多源数据进行融合与建模,可快速构建目标场地的基础景观数字模型,辅助研究与规划设计,为景观设计领域的数字化发展提供基础。
关键词
无人机;测量;景观设计;数字三维模型;点云
Abstract
Traditional landscape measurement methods often lack automation and cost lots of time and manpower, resulting in a low level of digitization in the field of Landscape Architecture. This paper introduces new research and application of UAV measurement in Landscape Architecture and related fields for generating terrain and three-dimensional scenes and landscape correlation analyses. It also forecasts the application of UAVs in other fields that may inspire the practice of Landscape Architecture. The paper suggests that, compared with the traditional satellite measurement and ground engineering surveying, UAVs can quickly obtain two- and three-dimensional data by using airborne sensors with relatively high accuracy, high resolution, and short timeframes, capturing diverse data that supports the research and practice of landscape planning and design and improves the working efficiency. Therefore, this method is highly compatible with the existing research and practice mode. Through fusion and modeling, these multi-source data can help construct basic digital models to assist the analysis, planning, and design of sites. Taken together, this improves the overall level of digitization of the profession of Landscape Architecture.
Key words
UAV; Measurement; Landscape Architecture; Digital 3D Model; Point Cloud
大都市区绿地碳储存能力及其空间分布特点探究:以韩国首尔市为例
Quantifying the Carbon Storage Capacity and Its Spatial Distribution Patterns of Green Spaces in a Metropolitan Area: A Case Study of Seoul, South Korea
作者:韩依纹,张舒,殷利华 HAN Yiwen, ZHANG Shu, YIN Lihua
摘要
绿地作为城市重要的生境类型可提供诸多生态系统服务功能。其中,绿地的碳储存功能可有效减缓温室效应,这在全球气候变暖的背景下显得尤为重要。由于精细化的空间数据通常较难获取,已有研究往往粗略地将绿地归纳为几种土地利用类型以计算其碳储存量。然而,由于绿地内植被群落特点不同,其碳储存能力也有所差别。本文以韩国首尔市为例,旨在探索城市中多种绿地类型的碳储存能力及其空间分布特点。基于2005年和2015年首尔市的高精度生境数据,本研究归纳了17种目标绿地类型,运用InVEST-Carbon模型对其碳储量进行估算,可视化定量绿地的碳储存量并明确其内部群落碳储存能力的空间分布规律。本研究不仅可为首尔市及其他类似区域的生态保护实践和可持续土地规划与管理提供科学依据,也可为我国城市生态系统服务功能评估和绿地更新策略的制定提供借鉴。
关键词
绿地;生态系统服务;碳储存;生境;InVEST模型;热点;空间分布
Abstract
As a significant habitat type in cities, green spaces can provide various ecosystem services. Among them, the carbon storage of green spaces would effectively alleviate greenhouse effect, which is particularly important under the global warming. Due to difficulties in accessing high-resolution spatial data, previous research has summarized green spaces into different land use types to calculate carbon storage. However, since different vegetation communities have different characteristics, carbon storage capacities of green spaces vary. Focusing on the Seoul City, South Korea, this research aims at exploring the carbon storage capacities of varied green spaces and its distribution patterns. Based on the high-resolution habitat data of Seoul City in 2005 and 2015, the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model is used to estimate and visualize the carbon storage capacities of 17 types of green spaces to reveal the distribution patterns of carbon storage of different communities in the city's green spaces. This study not only provides a scientific basis for ecological protection practices and sustainable land planning and management in Seoul and other similar regions, but also offers a reference for urban ecosystem service assessment and green space renewal strategy development in China.
Key words
Green Spaces; Ecosystem Services; Carbon Storage; Habitat; InVEST Model; Hotspot; Spatial Distribution
九问:浅论新科技对城市环境规划与设计的影响
Nine Questions toward Influences of Emerging Science and Technology on Urban Environment Planning and Design
作者:姜斌 JIANG Bin
摘要
科技在近十年来发展迅猛已经是不争的事实,它正在不断挑战和刷新人们对城市环境、人类生活,甚至是人性本身的固有认知。同时,它对城市环境规划与设计的冲击也不容忽视,且需要相关规划设计人员积极应对。科技并没有严格的权威定义,它是一个不断自我更新的概念。狭义而言,人类发明或发现的新材料、新技术和新数据等属于科技范畴;广义而言,其也可包括由新材料、新技术和新数据产生的新的行为、情感、观念和哲学。本文从图像技术、被图像驯服的设计、设计师的困境、虚拟现实、个人移动电子设备、大数据技术、肉身桎梏、公共空间和自然9个方面探讨了科技的发展在当代及未来可能对城市环境的规划与设计产生的积极或消极影响。鉴于这一讨论目标的宏大性,本文只是一种挂一漏万的尝试,并未为所提出的问题提供确凿的答案,而希望通过对9个重要话题的探讨,促进读者对这些问题的深入了解和独立思考。
关键词
科技;城市环境;规划设计;人类未来;反思与疑问
Abstract
There is no doubt that science and technology have progressed rapidly in the past decade and it is constantly challenging and refreshing people’s understanding of urban environment, human life, and even human nature itself. Meanwhile, its impact on urban environment planning and design should not be ignored and needs to be addressed promptly. The concept of science and technology is self-renewing and has no universal or authoritative definition. In a narrow sense, new science and technology may cover any new materials, technologies, and data invented or discovered by a human; in a broader sense, it might also study new behaviors, emotions, concepts, and philosophy arisen by new materials, technologies, and data. This article explores both positive and negative impacts of science and technology development on urban environment planning and design from nine aspects: image technology, image-tamed design, designers’ dilemma, virtual reality, personal mobile electronic devices, big data, human physical limits, public spaces, and nature. Instead of trying to provide definite answers to these questions, this article seeks to encourage readers’ to understand and think of these topics through a brief discussion.
Key words
Science and Technology; Urban Environment; Planning and Design; Mankind's Future; Reflections and Questions
竞争、并存与共赢--智能设计工具与人类设计师的关系
From Competition, Coexistence to Win-Win — Relationship between Intelligent Design Tools And Human Designers
作者:何宛余 HE Wanyu
摘要
随着智能设计工具在建筑设计、城市规划等领域的应用越发普遍,对其核心本质、存在价值与发展脉络的探讨与梳理也变得越发必要。作者基于自身多年的研究与实践经验指出,智能设计工具的本质特征之一是其能够与人类进行互动(如对人类设计师的方案进行基于复杂标准的判断、优化与反馈);其重要价值在于解放人类设计师的双手以促进其提升自身核心竞争力,以及打破设计知识与理念传播的壁垒。在具体的规划设计工作中,人类设计师与智能设计工具各有所长,两者应互为补充、共同进步。作为人工智能等新兴科学与传统设计学科相互启发与融合的产物,智能设计工具在未来的应用领域将不断扩展,并推动建筑设计、城市规划和景观设计等学科之间更为密切的合作,在提高设计质量与行业整体效率的同时,促进对设计哲学与深层价值的深入探讨。
关键词
人工智能;建筑设计;工具;深度学习;智能辅助
Abstract
With its increasingly wide application in the fields of architecture and urban planning, intelligent design tools require a review on its essence, core value, and evolution. Based on her several years' experience of research and practice, the author points out that one of the essential characteristics of intelligent design tools is their ability to actively interact with humans (such as the assessment, optimization, and feedback of human designer's schemes). The core value of intelligent design tools lies in that they can liberate human designers from repetitive work and break down the barriers in communicating design knowledge and ideas. Human designers and intelligent design tools both have their own strengths in the real practices; the two should complement each other and make progress together. Being a product of inspiration and integration between emerging sciences, such as artificial intelligence, and traditional design disciplines, intelligent design tools will enjoy an ever-expanding realm of application. It will facilitate cross-disciplinary cooperation in Architecture, Urban Planning, and Landscape Architecture at varied scales, which not only promotes explorations on design philosophy and deep design values, but also help improve design quality and the overall efficiency of the industry.
Key words
Artificial Intelligence; Architectural Design; Tools; Deep Learning; Intelligent Assistance
走向远方:新工具与新技术在景观设计领域的应用测试
Going Afield: Experimenting with Novel Tools and Technologies at the Periphery of Landscape Architecture
作者:埃米莉•施里克曼 Emily SCHLICKMAN
摘要
如今,景观设计师在设计实践中正面临着前所未有的复杂挑战。为了更好地适应并应对这些问题,景观设计领域试图摆脱传统工具与设备的限制,引入源自其他行业的新兴工具。基于不断优化用户体验的硬件、更为直观的软件和逐渐降低的成本,越来越多的人能够有机会接触并使用这些工具。然而,多数新兴工具最初都是为其他领域的专业人士所量身定制,因此并不能直接为设计领域所沿用。本文认为,唯有通过严谨的分析和评估,才能进一步将新兴技术应用于景观设计实践。通过剖析SWA集团XL研究与创新实验室就无人驾驶飞行器、沉浸式环境技术和机器学习算法这三种新兴工具的局限性所进行的实验和测试,本文试图厘清这些工具在设计行业的应用潜力。具体而言,本文概述了每种工具所涉及的技术,同时提供案例研究以判断其在景观设计实践中的应用前景,并依据实验结果列明每种工具的优势和局限,最终展望了这些工具在未来的应用可能。
关键词
工具;技术;设备;无人驾驶飞行器;虚拟实;混合现实;机器学习
Abstract
Landscape architects are facing unprecedented challenges and complexities associated with design projects of today. To better adapt and evolve in light of these issues, the toolbox for the profession is currently expanding beyond traditional implements and devices to include emerging tools that have originated in other industries. The barriers to entry for these tools are continuously being lowered due to more user-friendly hardware, more intuitive software, and increased affordability, allowing them to get into the hands of more people. Yet, many of these emerging tools now available to professionals originated elsewhere and cannot be simply transferred over to the design world. This article argues that there is a need to critically evaluate and assess new technologies for use in landscape architectural practice. It unpacks how the XL Research and Innovation Lab at SWA Group has experimented with and tested the limitations of three new tools — unmanned aerial vehicles, immersive environment technologies, and machine learning algorithms - to better understand their potential for design. For each tool, the article provides an overview of its technology, a case study testing the technology for use in landscape architectural practice, a list of observed strengths and limitations, and a projected roadmap for future applications.
Key words
Tools; Technologies; Devices; Unmanned Aerial Vehicles; Virtual Reality; Mixed Reality; Machine Learning
从交通基础设施到绿色基础设施—无人驾驶城市中的柔性未来道路
From Transportation Infrastructure to Green Infrastructure — Adaptable Future Roads in Autonomous Urbanism
作者:罗亚丹 LUO Yadan
摘要
现代道路设计为机动车驾驶者留出了巨大的容错空间,部分区域在午间和夜间等非高峰时段多处于闲置状态,使用率极低。而新兴的无人驾驶技术则可减少容错空间的设置,同时,以该技术为代表的一系列交通技术创新也将重塑城市的形态与空间。当算法控制之下的无人驾驶汽车可以实现精准驾驶时,80%的现有车道空间将可转换为以植被为主的透水空间,由原有交通路网改造而成的巨型绿色基础设施网络也将覆盖城市的每个角落,为修复城市生态系统的连续性提供可能。此外,在高峰时段,云计算系统将为机动车优先分配路权;而在非高峰时段,因机动车路权缩小而释放出的道路空间将为户外餐饮和露天音乐会等活动提供场所。作为景观设计师,作者呼吁更多从业者从生态环境、公共空间和人文关怀等角度展望无人驾驶城市的未来。
关键词
无人驾驶汽车;技术;交通;绿色基础设施;道路柔化
Abstract
Modern road systems consist of a large amount of driving fault-tolerant space for security reasons, leaving much of the area vacant and underutilized in off-peak hours. The emerging autonomous vehicle technology may address this problem while reshaping the urban structure and space through transportation technology innovations. Once the algorithm-controlled vehicles can realize an accurate running, 80 percent of the existing roads can be transformed into vegetated permeable surfaces. As a result, the whole road system will be converted into a pervasive green infrastructure network, which provides an opportunity to enhance the continuity of urban ecosystem. Moreover, the cloud computing technology may help distribute more lanes to vehicles during peak hours and shrink vehicles' right of way during off-peak hours. The saved road space could support activities such as outdoor restaurants and concerts. Finally, the author encourages more landscape architects to contribute to a better future of autonomous urbanism with their visions of eco-environment, public space, and humanity.
Key words
Autonomous Vehicle; Technology; Transportation; Green Infrastructure; Road Softening
Roboat:阿姆斯特丹自动船系统
Roboat: A Fleet of Autonomous Boats for Amsterdam
作者:蕾娜•约翰逊,法比奥•杜阿尔特,卡洛•拉蒂 Lenna JOHNSEN, Fábio DUARTE, Carlo RATTI
摘要
历史上,在那些拥有发达的、或自然或人工河道网络的城市中,货运和客运都有赖于船舶。近几十年来,城市运输已逐渐由卡车、货车和汽车等工具承载,这一转变损害了城市的环境和宜居性。本文以荷兰阿姆斯特丹城市运河上的自动船系统为例,探索自动驾驶这一新兴技术将如何促进城市基础设施的再利用。研发团队设想通过一组自动化水上平台缓解以上问题,并使之成为一种新型城市基础设施。该计划中既涉及微观尺度的设想(向公众公开水质数据),也包括宏观尺度的宏大愿景(建立汇集了新鲜农产品的自动化平台网络,这些平台可以联合起来形成水上农夫集市)。通过应对城市日常生活中的现实问题,Roboat可成为一个帮助市民营造符合时代需求的美好城市生活的平台。
关键词
Roboat;阿姆斯特丹;水上交通;水上移动工具;智能工具;人工智能
Abstract
Historically, in cities with robust systems of canals and rivers, boats were used for the movement of freight and people. In recent decades, this transport has shifted to trucks, vans, and cars, compromising the environment and livability of these cities. In this article we explore how an emerging technology, autonomous vehicles, can foster the re-appropriation of an urban infrastructure — in this case, the deployment of a fleet of autonomous boats in the city of Amsterdam, the Netherlands, which is imagined not only to serve multiple purposes, but also to become a novel urban infrastructure. The ideas range from the micro scale (public dashboards for water quality data) to the macro (a network of autonomous platforms that collect fresh produce from farms and combine together to form floating farmer's markets). These ideas seek to engage the realities of everyday life in the city and propose Roboat as a platform to help citizens negotiate the 21st century urban life.
Key words
Roboat; Amsterdam; Water Transportation; Floating Vehicle; Intelligence Tool; Artificial Intelligence
规划设计智能化调研工具——“猫眼象限”调研分析系统的特点与应用
Cat's Eye - An Intelligent Investigation Tool for Urban Planning and Design
作者:王腾,茅明睿,崔博庶 WANG Teng, MAO Mingrui, CUI Boshu
摘要
在城市精细化治理的发展趋势和信息技术应用日益广泛的背景下,提升规划设计调研的智能化水平是规划设计行业的迫切诉求。基于此,城市象限团队研发了“猫眼象限”调研分析系统,其主要应用于中微观尺度的规划设计调研,以照片位置信息为应用出发点、计算机视觉技术为支撑,实现了规划设计调研过程的空间化记录和图像资料的有序管理。“猫眼象限”移动端通过标签和照片命名等方式,可以便捷采集空间环境、设施情况、行为活动等信息;桌面端则可以进行调研结果的可视化、视频分析和数据管理等高级功能操作。本文首先介绍了“猫眼象限”的设计构思、技术运用、功能构成,以及使用方法,随后结合具体案例,从空间环境、设施情况和行为活动三个方面展示了基于“猫眼象限”的调研操作方法。最后,结合产品的使用情况和城市智能化发展现状,研发团队展望了“猫眼象限”产品的改进方向及未来智能化调研工具的发展趋势。
关键词
规划设计调研;智能化调研;图像识别技术;深度学习;猫眼象限
Abstract
Under the backdrop of refinement of urban governance and the increasingly broad application of information technology, an urgent demand for intelligent investigation has emerged among urban planning and design professions. Cat’s Eye, an intelligent investigation tool developed by UrbanXYZ, operates with position information of survey photos and computational vision technology, realizing spatial mapping and photo management in investigations of medium- and small-scale planning and design projects. The Cat’s Eye applet is designed to collect information of spatial setting, facility / amenity conditions, and human behaviors and activities; and its PC terminal is developed for higher investigation needs such as result visualization, video analysis, and data management. This article introduces the product architecture, technical innovation, interface and operation, and investigation methods of Cat's Eye. Furthermore, by combining authentic cases, the article illustrates how Cat’s Eye investigates the spatial setting, facility / amenity, and human behaviors in survey areas. Finally, the article prospects the future of intelligent investigation tools.
Key words
Planning and Design Investigation; Intelligent Investigation; Image Recognition Technology; Deep Learning; Cat's Eye
北京什刹海金丝套滨水空间的视觉感知意象研究与眺望景观优化策略
Research on Visually Perceived Image and Strategies for Vista View System Improvement of the Jinsitao Waterfront of Shichahai in Beijing
作者:刘祎绯,牟婷婷,黄子薇,哈日桂 LIU Yifei, MOU Tingying, HUANG Ziwei, HA Rigui
摘要
视觉感知是人们感受环境并产生意象的最直接的方式之一,亦是城市意象研究的重要数据来源。本文以北京什刹海金丝套滨水空间为研究对象,基于由穿戴式相机获取的图片数据和对数据进行处理后得到的意象感知体系,探索对该地区眺望景观进行优化的规划设计策略,以为城市历史街区的景观提升提供参考。研究选取前海北沿至后海南沿共800m的路径作为游线,采集30位志愿者穿戴便携式摄像机GoPro的游览影像,按每秒一帧连续截取25 000余张图片;随后,通过识别和分析图片中的意象并对感知点和感知对象进行空间定位,可得到基于视觉的意象感知体系;进而建议:在历史地段的规划中应当更加注意整体风貌的营造以及重要标志物的打造,优化景观视线廊道,构建完整的眺望景观体系。
关键词
城市意象;视觉感知;可穿戴设备;历史地段;眺望景观
Abstract
Visual perceiving is one of the most important and direct ways to perceive physical environment and instantly generate images of it. The data gained from visual perception lays a foundation for the research on city images. This study concentrated in the Jinsitao Waterfront of Shichahai area in Beijing. By collecting photos with wearable cameras and generating an image map of visual perception through image identification and analysis, this study explores strategies for improving vista view system in the study area, offering a reference for other research on historical district renewals in cities. Thirty volunteers were asked to tour along an 800-meter path from the north edge of Qianhai to the south edge of Houhai recording the scenery with GoPro cameras on their foreheads. Over 25,000 screenshots were then captured consecutively from the video documents. By identifying and analyzing these screenshots, mapping perceiving locations, and corresponding them to perceived objects, an image perception map was generated, from which a series of planning and design strategies were developed to suggest that future historical districts’ planning practices should enhance the protection of a site’s overall image and distinctive landmarks, as well as the improvement of visual corridors and vista view system.
Key words
City Image; Visual Perception; Wearable Device; Historical Site; Vista View System
基于增强现实的规划支持工具:以建筑形态合规性检验为例
Planning Support Tool for Checking Building Form Legality with Augmented Reality
作者:程娇华,沈振江 CHENG Jiaohua, SHEN Zhenjiang
摘要
本文以日本《建筑标准法》规定下建筑形态管理的合规性检验为例,开发了一种基于增强现实技术的规划支持工具(AR-PST),其可将虚拟现实建筑模型、建筑规范与真实场地相结合,以检验设计方案是否符合相关建筑规范或设计指南。用户可以在移动设备(如智能手机、平板电脑等)上使用此工具与建筑模型进行互动,更充分地了解设计方案及其对真实建筑场地环境的可能影响,以对其进行更精确的评估。在此基础上,研究通过问卷调查和访谈的方式开展了AR-PST的用户体验测试。结果表明,此工具具有创造性的功能设计和良好的交互性,可以提高设计师与用户之间的沟通效率并为城市规划与设计工作提供帮助。
关键词
增强现实;城市设计;建筑规范;三维模型;规划支持工具
Abstract
In this research, we used Augmented Reality technology to develop a planning support tool (AR-PST) which combines virtual building models and building regulations with a real site to effectively check whether design alternatives obey the building regulations or design guidelines, and realizes detection of violations of the building form control regulations under the Building Standards Law of Japan. Through the AR-PST, the users can interact with the building models using mobile devices (such as smart phones and tablets) to further understand design proposals as well as their influence on the environment around the real construction sites to achieve a more reasonable evaluation of them. User experience investigation for this tool was then carried out via questionnaire and interview. The results show that the AR-PST has creative functional design and good interactivity which can improve the communication efficiency between designers and users and assist urban planning and design.
Key words
Augmented Reality; Urban Design; Building Regulations; 3D Model; Planning Support Tool
坦桑尼亚农用无人机
Drones for Agriculture in Tanzania
作者:索尼娅•贝查尔特 Sonja BETSCHART
摘要
WeRobotics是一家总部位于美国和瑞士的非营利性组织,致力于促进南半球国家广泛参与新兴技术的普及和应用。通过不断扩大其地方知识中心——飞行实验室遍布非洲、拉丁美洲、亚洲和南太平洋的全球网络,WeRobotics不断推进无人机和人工智能等机器人技术在这些地区的本土化落地,从而弥合区域间的数字鸿沟。同时,WeRobotics还通过提供最佳实践范例和培训项目,助力社会公益,并在其构建的全球社区中进行知识共享。本文以WeRobotics在坦桑尼亚多多马地区的首个农用无人机项目为例,阐述了如何将相关技能和机器人技术传授给飞行实验室合作方,以及如何公开分享试点项目和最佳实践的经验,以塑造当地环境韧性及地区竞争力。
关键词
无人机;坦桑尼亚;小型农场;遥感;地面实况数据
Abstract
WeRobotics is a young U.S. / Swiss based non-profit organization that builds inclusive participation and local capacity in the application of emerging technologies in the Global South. It bridges the digital divide by localizing robotics technologies like drones and artificial intelligence through its growing global network of local knowledge hubs — Flying Labs in Africa, Latin America, Asia, and the South Pacific, accelerating the social good sector through best practices and training programs and sharing knowledge through its global community. Taking WeRobotics’ first drone agriculture project in the Dodoma region in Tanzania as an example, this article exemplifies how to transfer relevant skills and robotics technologies to Flying Labs’ partners and openly share learnings of pilot projects and best practices to build local resilience and competencies.
Key words
Drone; Tanzania; Smallholder Farms; Remote-Sensing; Ground-Truth Data
推进沉浸式数据交互的虚拟现实技术
Virtual Reality for Immersive Data Interaction
作者:皮娅•弗里克 Pia FRICKER
摘要
在这个由技术发展塑造的时代,现实与虚拟世界的边界正在逐渐消融,当下我们面临的挑战是如何重新定义虚拟现实与混合现实在景观设计领域应用的潜力。基于对此类技术的主要应用领域的批判性分析,可以得知当前的研究重点是优化虚拟空间的三维可视化与导航系统。在专业实践,特别是智能建筑行业中,混合现实工具正在被越来越多地应用于市场测试与设计决策的商务沟通。
迄今为止,沉浸式环境在景观设计领域的应用仍缺乏以人为中心的数据交互与空间感知研究。由芬兰阿尔托大学景观设计与都市主义计算方法研究室实践应用教授皮娅•弗里克带领的团队正致力于研究全新的沉浸式协同设计方法,以为参与式设计过程提供极具价值的新型研究路径。由此,混合现实的应用可突破常规用途,并基于数据信息处理促进跨学科沉浸式互动空间的创建。本文展示的研究与教学成果反映了全球对“数字人文—大数据与以人为中心的设计”这一宏大议题的探讨。
关键词
虚拟现实;混合现实;增强现实;景观设计;参与式设计;沉浸式互动;数据分析
Abstract
In a time shaped by technological developments dissolving the boundaries between the real and the virtual world, we are challenged to newly define the potentials of virtual and mixed reality in the field of landscape architecture. Critical analyses of the primary application areas of these technologies show that the current focus mostly lies on the optimization of 3D visualization and navigation in virtual space. Within professional practice, mixed reality tools are increasingly being used to test and communicate design decisions, for marketing purposes, and more often, within the smart building industry as well.
Thus far, the incorporation of immersive environments in landscape architecture is lacking research on human-centered data interaction and the perception of space. At Aalto University, Finland, the team of Pia Fricker, Professor of Practice for Computational Methodologies in Landscape Architecture and Urbanism, researches new immersive co-design methodologies to introduce new meaningful trajectories for participatory processes. Mixed reality applications are thus extended beyond common and conventional uses to help create multidisciplinary immersive interactive spaces using data informed processes. The research and teaching results showcased in the article address international discourse on the larger theme of “Digital Humanism — Big Data and Human-Centered Design.”
Key words
Virtual Reality; Mixed Reality; Augmented Reality; Landscape Architecture; Participatory Design; Immersive Interaction; Data Analysis