(新)城市科學(xué):利用新數(shù)據(jù)、新方法和新技術(shù)研究“新”城市
(New) Urban Science: Studying “New” Cities with New Data, Methods, and Technologies
作者:龍瀛 LONG Ying
摘要
以互聯(lián)網(wǎng)產(chǎn)業(yè)化和工業(yè)智能化為標(biāo)志、以技術(shù)融合為主要特征的第四次工業(yè)革命正以一系列顛覆性技術(shù)深刻地影響和改變著我們的城市:人們的思維方式從傳統(tǒng)的機(jī)械思維向大數(shù)據(jù)思維轉(zhuǎn)換,認(rèn)知方式也逐漸向虛實(shí)結(jié)合的體驗(yàn)過渡,而我們賴以生存的城市,其資源利用、社會狀況和空間利用也正經(jīng)歷著一系列變革。隨著以計(jì)算機(jī)技術(shù)和多源城市數(shù)據(jù)為代表的新技術(shù)和新數(shù)據(jù)的迅猛發(fā)展,(新)城市科學(xué)在過去的十幾年間逐漸興起,成為一門融合了城市計(jì)算、人工智能、增強(qiáng)現(xiàn)實(shí)、人機(jī)交互等方向的交叉學(xué)科,為城市研究和城市規(guī)劃設(shè)計(jì)帶來了變革可能。目前全球范圍內(nèi)已涌現(xiàn)了多家聚焦于該領(lǐng)域的研究機(jī)構(gòu)和多個研究項(xiàng)目。同時,世界各大院校也先后設(shè)置與(新)城市科學(xué)相關(guān)的學(xué)位、開設(shè)相關(guān)課程,培養(yǎng)更加符合新時代需求的新城市研究人才。
關(guān)鍵詞
新城市科學(xué);第四次工業(yè)革命;城市空間的重構(gòu)與轉(zhuǎn)型;大數(shù)據(jù);顛覆性技術(shù)
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
穿戴式相機(jī)在研究個體行為與建成環(huán)境關(guān)系中的應(yīng)用
Application of Wearable Cameras in Studying Individual Behaviors in Built Environments
作者:張昭希,龍瀛 ZHANG Zhaoxi, LONG Ying
摘要
隨著第四次工業(yè)革命的到來,人們開始不斷探索新技術(shù)和新設(shè)備在研究個體行為與城市設(shè)計(jì)關(guān)系上的潛力。穿戴式相機(jī)的出現(xiàn)為監(jiān)測個體在空間中的行為、形成個體"生命日志"提供了更多可能。本文以個體佩戴者為單位,探究穿戴式相機(jī)在研究個體行為與建成環(huán)境關(guān)系中的應(yīng)用。研究通過人工識別、調(diào)用計(jì)算機(jī)視覺分析應(yīng)用程序編程接口、利用Matlab進(jìn)行色彩識別三種方式,對佩戴者在一周時間內(nèi)收集到的8 598張照片進(jìn)行了圖像識別,并對比了三種方法的優(yōu)劣勢。隨后,基于準(zhǔn)確性較高的人工識別結(jié)果,研究對個體行為特征、時間分配、路徑轉(zhuǎn)移、場所事件等方面展開分析。研究表明,穿戴式相機(jī)采集的圖片大數(shù)據(jù)庫蘊(yùn)含豐富的個體行為與時空信息,可以有效描述個體在空間中的行為特征,對研究個體行為與建成環(huán)境之間的關(guān)系具有重要意義。
關(guān)鍵詞
可穿戴設(shè)備;時空間行為;生命日志;數(shù)字自我;圖片大數(shù)據(jù)
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 “l(fā)ifelog.” 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
無人機(jī)測量在景觀設(shè)計(jì)科研與實(shí)踐中的應(yīng)用
UAV Measurement in Landscape Architecture Research and Practice
作者:李復(fù),常賀星 LI Fu, CHANG Hexing
摘要
傳統(tǒng)景觀測量自動化程度較低,時間與人力成本較高。本文介紹了無人機(jī)測量在景觀設(shè)計(jì)領(lǐng)域相關(guān)場景的前沿研究與實(shí)踐應(yīng)用進(jìn)展,詳細(xì)闡釋了無人機(jī)測量在建立景觀場地?cái)?shù)字模型、分析與三維可視化的應(yīng)用,展望了無人機(jī)在其他領(lǐng)域的應(yīng)用可能對景觀設(shè)計(jì)帶來的啟發(fā)。本文認(rèn)為,相較于傳統(tǒng)衛(wèi)星測量和地面工程測量,配合傳感器的無人機(jī)測量方式可快速獲得相對高精確度、高分辨率和高時效的二維及三維數(shù)據(jù),并為景觀規(guī)劃設(shè)計(jì)的分析提供多源數(shù)據(jù)支持,有效提升工作效率,與當(dāng)前科研及實(shí)踐流程高度融合。通過對多源數(shù)據(jù)進(jìn)行融合與建模,可快速構(gòu)建目標(biāo)場地的基礎(chǔ)景觀數(shù)字模型,輔助研究與規(guī)劃設(shè)計(jì),為景觀設(shè)計(jì)領(lǐng)域的數(shù)字化發(fā)展提供基礎(chǔ)。
關(guān)鍵詞
無人機(jī);測量;景觀設(shè)計(jì);數(shù)字三維模型;點(diǎn)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
大都市區(qū)綠地碳儲存能力及其空間分布特點(diǎn)探究:以韓國首爾市為例
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:韓依紋,張舒,殷利華 HAN Yiwen, ZHANG Shu, YIN Lihua
摘要
綠地作為城市重要的生境類型可提供諸多生態(tài)系統(tǒng)服務(wù)功能。其中,綠地的碳儲存功能可有效減緩溫室效應(yīng),這在全球氣候變暖的背景下顯得尤為重要。由于精細(xì)化的空間數(shù)據(jù)通常較難獲取,已有研究往往粗略地將綠地歸納為幾種土地利用類型以計(jì)算其碳儲存量。然而,由于綠地內(nèi)植被群落特點(diǎn)不同,其碳儲存能力也有所差別。本文以韓國首爾市為例,旨在探索城市中多種綠地類型的碳儲存能力及其空間分布特點(diǎn)。基于2005年和2015年首爾市的高精度生境數(shù)據(jù),本研究歸納了17種目標(biāo)綠地類型,運(yùn)用InVEST-Carbon模型對其碳儲量進(jìn)行估算,可視化定量綠地的碳儲存量并明確其內(nèi)部群落碳儲存能力的空間分布規(guī)律。本研究不僅可為首爾市及其他類似區(qū)域的生態(tài)保護(hù)實(shí)踐和可持續(xù)土地規(guī)劃與管理提供科學(xué)依據(jù),也可為我國城市生態(tài)系統(tǒng)服務(wù)功能評估和綠地更新策略的制定提供借鑒。
關(guān)鍵詞
綠地;生態(tài)系統(tǒng)服務(wù);碳儲存;生境;InVEST模型;熱點(diǎn);空間分布
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
九問:淺論新科技對城市環(huán)境規(guī)劃與設(shè)計(jì)的影響
Nine Questions toward Influences of Emerging Science and Technology on Urban Environment Planning and Design
作者:姜斌 JIANG Bin
摘要
科技在近十年來發(fā)展迅猛已經(jīng)是不爭的事實(shí),它正在不斷挑戰(zhàn)和刷新人們對城市環(huán)境、人類生活,甚至是人性本身的固有認(rèn)知。同時,它對城市環(huán)境規(guī)劃與設(shè)計(jì)的沖擊也不容忽視,且需要相關(guān)規(guī)劃設(shè)計(jì)人員積極應(yīng)對??萍疾]有嚴(yán)格的權(quán)威定義,它是一個不斷自我更新的概念。狹義而言,人類發(fā)明或發(fā)現(xiàn)的新材料、新技術(shù)和新數(shù)據(jù)等屬于科技范疇;廣義而言,其也可包括由新材料、新技術(shù)和新數(shù)據(jù)產(chǎn)生的新的行為、情感、觀念和哲學(xué)。本文從圖像技術(shù)、被圖像馴服的設(shè)計(jì)、設(shè)計(jì)師的困境、虛擬現(xiàn)實(shí)、個人移動電子設(shè)備、大數(shù)據(jù)技術(shù)、肉身桎梏、公共空間和自然9個方面探討了科技的發(fā)展在當(dāng)代及未來可能對城市環(huán)境的規(guī)劃與設(shè)計(jì)產(chǎn)生的積極或消極影響。鑒于這一討論目標(biāo)的宏大性,本文只是一種掛一漏萬的嘗試,并未為所提出的問題提供確鑿的答案,而希望通過對9個重要話題的探討,促進(jìn)讀者對這些問題的深入了解和獨(dú)立思考。
關(guān)鍵詞
科技;城市環(huán)境;規(guī)劃設(shè)計(jì);人類未來;反思與疑問
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
競爭、并存與共贏--智能設(shè)計(jì)工具與人類設(shè)計(jì)師的關(guān)系
From Competition, Coexistence to Win-Win — Relationship between Intelligent Design Tools And Human Designers
作者:何宛余 HE Wanyu
摘要
隨著智能設(shè)計(jì)工具在建筑設(shè)計(jì)、城市規(guī)劃等領(lǐng)域的應(yīng)用越發(fā)普遍,對其核心本質(zhì)、存在價值與發(fā)展脈絡(luò)的探討與梳理也變得越發(fā)必要。作者基于自身多年的研究與實(shí)踐經(jīng)驗(yàn)指出,智能設(shè)計(jì)工具的本質(zhì)特征之一是其能夠與人類進(jìn)行互動(如對人類設(shè)計(jì)師的方案進(jìn)行基于復(fù)雜標(biāo)準(zhǔn)的判斷、優(yōu)化與反饋);其重要價值在于解放人類設(shè)計(jì)師的雙手以促進(jìn)其提升自身核心競爭力,以及打破設(shè)計(jì)知識與理念傳播的壁壘。在具體的規(guī)劃設(shè)計(jì)工作中,人類設(shè)計(jì)師與智能設(shè)計(jì)工具各有所長,兩者應(yīng)互為補(bǔ)充、共同進(jìn)步。作為人工智能等新興科學(xué)與傳統(tǒng)設(shè)計(jì)學(xué)科相互啟發(fā)與融合的產(chǎn)物,智能設(shè)計(jì)工具在未來的應(yīng)用領(lǐng)域?qū)⒉粩鄶U(kuò)展,并推動建筑設(shè)計(jì)、城市規(guī)劃和景觀設(shè)計(jì)等學(xué)科之間更為密切的合作,在提高設(shè)計(jì)質(zhì)量與行業(yè)整體效率的同時,促進(jìn)對設(shè)計(jì)哲學(xué)與深層價值的深入探討。
關(guān)鍵詞
人工智能;建筑設(shè)計(jì);工具;深度學(xué)習(xí);智能輔助
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
走向遠(yuǎn)方:新工具與新技術(shù)在景觀設(shè)計(jì)領(lǐng)域的應(yīng)用測試
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,景觀設(shè)計(jì)師在設(shè)計(jì)實(shí)踐中正面臨著前所未有的復(fù)雜挑戰(zhàn)。為了更好地適應(yīng)并應(yīng)對這些問題,景觀設(shè)計(jì)領(lǐng)域試圖擺脫傳統(tǒng)工具與設(shè)備的限制,引入源自其他行業(yè)的新興工具?;诓粩鄡?yōu)化用戶體驗(yàn)的硬件、更為直觀的軟件和逐漸降低的成本,越來越多的人能夠有機(jī)會接觸并使用這些工具。然而,多數(shù)新興工具最初都是為其他領(lǐng)域的專業(yè)人士所量身定制,因此并不能直接為設(shè)計(jì)領(lǐng)域所沿用。本文認(rèn)為,唯有通過嚴(yán)謹(jǐn)?shù)姆治龊驮u估,才能進(jìn)一步將新興技術(shù)應(yīng)用于景觀設(shè)計(jì)實(shí)踐。通過剖析SWA集團(tuán)XL研究與創(chuàng)新實(shí)驗(yàn)室就無人駕駛飛行器、沉浸式環(huán)境技術(shù)和機(jī)器學(xué)習(xí)算法這三種新興工具的局限性所進(jìn)行的實(shí)驗(yàn)和測試,本文試圖厘清這些工具在設(shè)計(jì)行業(yè)的應(yīng)用潛力。具體而言,本文概述了每種工具所涉及的技術(shù),同時提供案例研究以判斷其在景觀設(shè)計(jì)實(shí)踐中的應(yīng)用前景,并依據(jù)實(shí)驗(yàn)結(jié)果列明每種工具的優(yōu)勢和局限,最終展望了這些工具在未來的應(yīng)用可能。
關(guān)鍵詞
工具;技術(shù);設(shè)備;無人駕駛飛行器;虛擬實(shí);混合現(xiàn)實(shí);機(jī)器學(xué)習(xí)
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
從交通基礎(chǔ)設(shè)施到綠色基礎(chǔ)設(shè)施—無人駕駛城市中的柔性未來道路
From Transportation Infrastructure to Green Infrastructure — Adaptable Future Roads in Autonomous Urbanism
作者:羅亞丹 LUO Yadan
摘要
現(xiàn)代道路設(shè)計(jì)為機(jī)動車駕駛者留出了巨大的容錯空間,部分區(qū)域在午間和夜間等非高峰時段多處于閑置狀態(tài),使用率極低。而新興的無人駕駛技術(shù)則可減少容錯空間的設(shè)置,同時,以該技術(shù)為代表的一系列交通技術(shù)創(chuàng)新也將重塑城市的形態(tài)與空間。當(dāng)算法控制之下的無人駕駛汽車可以實(shí)現(xiàn)精準(zhǔn)駕駛時,80%的現(xiàn)有車道空間將可轉(zhuǎn)換為以植被為主的透水空間,由原有交通路網(wǎng)改造而成的巨型綠色基礎(chǔ)設(shè)施網(wǎng)絡(luò)也將覆蓋城市的每個角落,為修復(fù)城市生態(tài)系統(tǒng)的連續(xù)性提供可能。此外,在高峰時段,云計(jì)算系統(tǒng)將為機(jī)動車優(yōu)先分配路權(quán);而在非高峰時段,因機(jī)動車路權(quán)縮小而釋放出的道路空間將為戶外餐飲和露天音樂會等活動提供場所。作為景觀設(shè)計(jì)師,作者呼吁更多從業(yè)者從生態(tài)環(huán)境、公共空間和人文關(guān)懷等角度展望無人駕駛城市的未來。
關(guān)鍵詞
無人駕駛汽車;技術(shù);交通;綠色基礎(chǔ)設(shè)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:阿姆斯特丹自動船系統(tǒng)
Roboat: A Fleet of Autonomous Boats for Amsterdam
作者:蕾娜?約翰遜,法比奧?杜阿爾特,卡洛?拉蒂 Lenna JOHNSEN, Fábio DUARTE, Carlo RATTI
摘要
歷史上,在那些擁有發(fā)達(dá)的、或自然或人工河道網(wǎng)絡(luò)的城市中,貨運(yùn)和客運(yùn)都有賴于船舶。近幾十年來,城市運(yùn)輸已逐漸由卡車、貨車和汽車等工具承載,這一轉(zhuǎn)變損害了城市的環(huán)境和宜居性。本文以荷蘭阿姆斯特丹城市運(yùn)河上的自動船系統(tǒng)為例,探索自動駕駛這一新興技術(shù)將如何促進(jìn)城市基礎(chǔ)設(shè)施的再利用。研發(fā)團(tuán)隊(duì)設(shè)想通過一組自動化水上平臺緩解以上問題,并使之成為一種新型城市基礎(chǔ)設(shè)施。該計(jì)劃中既涉及微觀尺度的設(shè)想(向公眾公開水質(zhì)數(shù)據(jù)),也包括宏觀尺度的宏大愿景(建立匯集了新鮮農(nóng)產(chǎn)品的自動化平臺網(wǎng)絡(luò),這些平臺可以聯(lián)合起來形成水上農(nóng)夫集市)。通過應(yīng)對城市日常生活中的現(xiàn)實(shí)問題,Roboat可成為一個幫助市民營造符合時代需求的美好城市生活的平臺。
關(guān)鍵詞
Roboat;阿姆斯特丹;水上交通;水上移動工具;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
規(guī)劃設(shè)計(jì)智能化調(diào)研工具——“貓眼象限”調(diào)研分析系統(tǒng)的特點(diǎn)與應(yīng)用
Cat's Eye - An Intelligent Investigation Tool for Urban Planning and Design
作者:王騰,茅明睿,崔博庶 WANG Teng, MAO Mingrui, CUI Boshu
摘要
在城市精細(xì)化治理的發(fā)展趨勢和信息技術(shù)應(yīng)用日益廣泛的背景下,提升規(guī)劃設(shè)計(jì)調(diào)研的智能化水平是規(guī)劃設(shè)計(jì)行業(yè)的迫切訴求。基于此,城市象限團(tuán)隊(duì)研發(fā)了“貓眼象限”調(diào)研分析系統(tǒng),其主要應(yīng)用于中微觀尺度的規(guī)劃設(shè)計(jì)調(diào)研,以照片位置信息為應(yīng)用出發(fā)點(diǎn)、計(jì)算機(jī)視覺技術(shù)為支撐,實(shí)現(xiàn)了規(guī)劃設(shè)計(jì)調(diào)研過程的空間化記錄和圖像資料的有序管理?!柏堁巯笙蕖币苿佣送ㄟ^標(biāo)簽和照片命名等方式,可以便捷采集空間環(huán)境、設(shè)施情況、行為活動等信息;桌面端則可以進(jìn)行調(diào)研結(jié)果的可視化、視頻分析和數(shù)據(jù)管理等高級功能操作。本文首先介紹了“貓眼象限”的設(shè)計(jì)構(gòu)思、技術(shù)運(yùn)用、功能構(gòu)成,以及使用方法,隨后結(jié)合具體案例,從空間環(huán)境、設(shè)施情況和行為活動三個方面展示了基于“貓眼象限”的調(diào)研操作方法。最后,結(jié)合產(chǎn)品的使用情況和城市智能化發(fā)展現(xiàn)狀,研發(fā)團(tuán)隊(duì)展望了“貓眼象限”產(chǎn)品的改進(jìn)方向及未來智能化調(diào)研工具的發(fā)展趨勢。
關(guān)鍵詞
規(guī)劃設(shè)計(jì)調(diào)研;智能化調(diào)研;圖像識別技術(shù);深度學(xué)習(xí);貓眼象限
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
北京什剎海金絲套濱水空間的視覺感知意象研究與眺望景觀優(yōu)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:劉祎緋,牟婷婷,黃子薇,哈日桂 LIU Yifei, MOU Tingying, HUANG Ziwei, HA Rigui
摘要
視覺感知是人們感受環(huán)境并產(chǎn)生意象的最直接的方式之一,亦是城市意象研究的重要數(shù)據(jù)來源。本文以北京什剎海金絲套濱水空間為研究對象,基于由穿戴式相機(jī)獲取的圖片數(shù)據(jù)和對數(shù)據(jù)進(jìn)行處理后得到的意象感知體系,探索對該地區(qū)眺望景觀進(jìn)行優(yōu)化的規(guī)劃設(shè)計(jì)策略,以為城市歷史街區(qū)的景觀提升提供參考。研究選取前海北沿至后海南沿共800m的路徑作為游線,采集30位志愿者穿戴便攜式攝像機(jī)GoPro的游覽影像,按每秒一幀連續(xù)截取25 000余張圖片;隨后,通過識別和分析圖片中的意象并對感知點(diǎn)和感知對象進(jìn)行空間定位,可得到基于視覺的意象感知體系;進(jìn)而建議:在歷史地段的規(guī)劃中應(yīng)當(dāng)更加注意整體風(fēng)貌的營造以及重要標(biāo)志物的打造,優(yōu)化景觀視線廊道,構(gòu)建完整的眺望景觀體系。
關(guān)鍵詞
城市意象;視覺感知;可穿戴設(shè)備;歷史地段;眺望景觀
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
基于增強(qiáng)現(xiàn)實(shí)的規(guī)劃支持工具:以建筑形態(tài)合規(guī)性檢驗(yàn)為例
Planning Support Tool for Checking Building Form Legality with Augmented Reality
作者:程嬌華,沈振江 CHENG Jiaohua, SHEN Zhenjiang
摘要
本文以日本《建筑標(biāo)準(zhǔn)法》規(guī)定下建筑形態(tài)管理的合規(guī)性檢驗(yàn)為例,開發(fā)了一種基于增強(qiáng)現(xiàn)實(shí)技術(shù)的規(guī)劃支持工具(AR-PST),其可將虛擬現(xiàn)實(shí)建筑模型、建筑規(guī)范與真實(shí)場地相結(jié)合,以檢驗(yàn)設(shè)計(jì)方案是否符合相關(guān)建筑規(guī)范或設(shè)計(jì)指南。用戶可以在移動設(shè)備(如智能手機(jī)、平板電腦等)上使用此工具與建筑模型進(jìn)行互動,更充分地了解設(shè)計(jì)方案及其對真實(shí)建筑場地環(huán)境的可能影響,以對其進(jìn)行更精確的評估。在此基礎(chǔ)上,研究通過問卷調(diào)查和訪談的方式開展了AR-PST的用戶體驗(yàn)測試。結(jié)果表明,此工具具有創(chuàng)造性的功能設(shè)計(jì)和良好的交互性,可以提高設(shè)計(jì)師與用戶之間的溝通效率并為城市規(guī)劃與設(shè)計(jì)工作提供幫助。
關(guān)鍵詞
增強(qiáng)現(xiàn)實(shí);城市設(shè)計(jì);建筑規(guī)范;三維模型;規(guī)劃支持工具
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
坦桑尼亞農(nóng)用無人機(jī)
Drones for Agriculture in Tanzania
作者:索尼婭?貝查爾特 Sonja BETSCHART
摘要
WeRobotics是一家總部位于美國和瑞士的非營利性組織,致力于促進(jìn)南半球國家廣泛參與新興技術(shù)的普及和應(yīng)用。通過不斷擴(kuò)大其地方知識中心——飛行實(shí)驗(yàn)室遍布非洲、拉丁美洲、亞洲和南太平洋的全球網(wǎng)絡(luò),WeRobotics不斷推進(jìn)無人機(jī)和人工智能等機(jī)器人技術(shù)在這些地區(qū)的本土化落地,從而彌合區(qū)域間的數(shù)字鴻溝。同時,WeRobotics還通過提供最佳實(shí)踐范例和培訓(xùn)項(xiàng)目,助力社會公益,并在其構(gòu)建的全球社區(qū)中進(jìn)行知識共享。本文以WeRobotics在坦桑尼亞多多馬地區(qū)的首個農(nóng)用無人機(jī)項(xiàng)目為例,闡述了如何將相關(guān)技能和機(jī)器人技術(shù)傳授給飛行實(shí)驗(yàn)室合作方,以及如何公開分享試點(diǎn)項(xiàng)目和最佳實(shí)踐的經(jīng)驗(yàn),以塑造當(dāng)?shù)丨h(huán)境韌性及地區(qū)競爭力。
關(guān)鍵詞
無人機(jī);坦桑尼亞;小型農(nóng)場;遙感;地面實(shí)況數(shù)據(jù)
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
推進(jìn)沉浸式數(shù)據(jù)交互的虛擬現(xiàn)實(shí)技術(shù)
Virtual Reality for Immersive Data Interaction
作者:皮婭?弗里克 Pia FRICKER
摘要
在這個由技術(shù)發(fā)展塑造的時代,現(xiàn)實(shí)與虛擬世界的邊界正在逐漸消融,當(dāng)下我們面臨的挑戰(zhàn)是如何重新定義虛擬現(xiàn)實(shí)與混合現(xiàn)實(shí)在景觀設(shè)計(jì)領(lǐng)域應(yīng)用的潛力。基于對此類技術(shù)的主要應(yīng)用領(lǐng)域的批判性分析,可以得知當(dāng)前的研究重點(diǎn)是優(yōu)化虛擬空間的三維可視化與導(dǎo)航系統(tǒng)。在專業(yè)實(shí)踐,特別是智能建筑行業(yè)中,混合現(xiàn)實(shí)工具正在被越來越多地應(yīng)用于市場測試與設(shè)計(jì)決策的商務(wù)溝通。
迄今為止,沉浸式環(huán)境在景觀設(shè)計(jì)領(lǐng)域的應(yīng)用仍缺乏以人為中心的數(shù)據(jù)交互與空間感知研究。由芬蘭阿爾托大學(xué)景觀設(shè)計(jì)與都市主義計(jì)算方法研究室實(shí)踐應(yīng)用教授皮婭?弗里克帶領(lǐng)的團(tuán)隊(duì)正致力于研究全新的沉浸式協(xié)同設(shè)計(jì)方法,以為參與式設(shè)計(jì)過程提供極具價值的新型研究路徑。由此,混合現(xiàn)實(shí)的應(yīng)用可突破常規(guī)用途,并基于數(shù)據(jù)信息處理促進(jìn)跨學(xué)科沉浸式互動空間的創(chuàng)建。本文展示的研究與教學(xué)成果反映了全球?qū)Α皵?shù)字人文—大數(shù)據(jù)與以人為中心的設(shè)計(jì)”這一宏大議題的探討。
關(guān)鍵詞
虛擬現(xiàn)實(shí);混合現(xiàn)實(shí);增強(qiáng)現(xiàn)實(shí);景觀設(shè)計(jì);參與式設(shè)計(jì);沉浸式互動;數(shù)據(jù)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