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Travel sustainability of new build housing in the London region: Can London's Green Belt be developed sustainably? 伦敦地区新建住房的旅行可持续性:伦敦绿化带能否可持续发展?
IF 6 1区 经济学 Q1 URBAN STUDIES Pub Date : 2024-11-15 DOI: 10.1016/j.cities.2024.105574
Duncan A. Smith
Although London's high-density compact city planning has largely delivered sustainable development in the urban core, the wider regional challenge is that housing targets have been consistently missed for the last decade, and the lack of supply is exacerbating the housing affordability crisis. Releasing Green Belt land has been cited as a solution. This paper analyses new build development in the London region from 2011 to 2022, and confirms that Green Belt policy needs reform – local authorities in the Green Belt have the lowest housing delivery in the region, and car dependent ‘leap-frog’ development is occurring beyond the Green Belt boundary. The relaxation of Green Belt restrictions could greatly boost development, but would also risk producing car dependent housing. This research produces a new Travel Sustainability Index using census travel behaviour data, and analyses the travel patterns of residents in new build housing over the last decade. The conclusions are that more sustainable Green Belt development can be achieved by prioritising development in Outer London and through extending existing towns and cities in the Greater South East. Achieving this outcome will require improved regional planning coordination and infrastructure investment.
尽管伦敦的高密度紧凑型城市规划在很大程度上实现了城市核心区域的可持续发展,但更广泛的区域挑战是,过去十年来,住房目标一直未能实现,供应不足加剧了住房负担危机。释放绿化带土地被认为是一种解决方案。本文分析了 2011 年至 2022 年伦敦地区的新建住房开发情况,证实绿化带政策需要改革--绿化带内的地方政府是该地区住房交付量最低的,依赖汽车的 "跃进式 "开发正在绿化带边界之外进行。放宽绿化带限制可大大促进发展,但也有可能产生依赖汽车的住房。这项研究利用人口普查的出行行为数据编制了新的出行可持续性指数,并分析了过去十年新建住房居民的出行模式。结论是,通过优先发展伦敦外围地区以及扩大大东南地区现有城镇的范围,可以实现更具可持续性的绿化带发展。要实现这一成果,需要改善区域规划协调和基础设施投资。
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引用次数: 0
Decoding the spatial effects of walkability on walking behavior among older adults by integrating big data and small data 通过整合大数据和小数据,解码步行便利性对老年人步行行为的空间影响
IF 6 1区 经济学 Q1 URBAN STUDIES Pub Date : 2024-11-14 DOI: 10.1016/j.cities.2024.105537
Xuan He, Sylvia Y. He
While a walkable environment promotes older adults' walking, few studies have incorporated big and small data to examine the relationship between walkability and older adults' walking behaviors. Using Shenzhen in China as the study area, this study explores walkability's effects on senior walking behaviors by integrating big and small data. The walkability framework is developed regarding four pedestrian needs: safety, convenience, continuity, and attractiveness. The walkability elements are extracted from street view images and diverse open data sources. We quantify the importance of walkability elements from 459 questionnaires across the city as weights to calculate elderly walkability scores. More than 27 million senior walking trips were identified from 6 months of mobile phone data in 2021. We used a geographically weighted Poisson regression model to examine the spatial effects of walkability on senior walking trips. The results show that the most important pedestrian need for seniors is safety, followed in order by attractiveness, convenience, and continuity. Areas with high elderly walkability scores are largely in urban areas and suburban subcenters. Walkability exerts a strong positive role on senior walking trips in the inner suburbs. Based on the findings, we tailor intervention strategies to foster age-friendly walking environments.
虽然适宜步行的环境能促进老年人的步行,但很少有研究结合大数据和小数据来研究适宜步行与老年人步行行为之间的关系。本研究以中国深圳为研究区域,通过整合大数据和小数据,探讨步行环境对老年人步行行为的影响。本研究从安全、便利、连续性和吸引力四个方面的步行需求出发,建立了步行适宜性框架。我们从街景图像和各种开放数据源中提取了适宜步行的要素。我们从全市 459 份调查问卷中量化了步行环境要素的重要性,并以此为权重计算出老年人步行环境得分。我们从 2021 年 6 个月的手机数据中确定了超过 2700 万次老年人步行出行。我们使用地理加权泊松回归模型来研究步行便利性对老年人步行出行的空间影响。结果显示,老年人最重要的步行需求是安全,其次依次是吸引力、便利性和连续性。老年人步行便利性得分较高的地区主要位于城区和郊区副中心。在内城郊区,步行便利性对老年人步行出行有很大的积极作用。根据研究结果,我们制定了干预策略,以营造对老年人友好的步行环境。
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引用次数: 0
A novel approach to modeling urban commuting traffic demands 模拟城市通勤交通需求的新方法
IF 6 1区 经济学 Q1 URBAN STUDIES Pub Date : 2024-11-09 DOI: 10.1016/j.cities.2024.105583
Fangqu Niu, Bingcheng Xuan
The scientific prediction of urban commuting traffic demands can support rational urban planning for population distribution, enterprise placement, and the coordination of land use and transportation. This study develops an Urban Commuting Model (UCM) that integrates both spatial and temporal aspects: Spatially, changes in employment or population distribution lead to changes in commuting patterns; Temporally, the commuting patterns of the previous year form the basis for the patterns of the following year. The UCM, based on historical commuting matrix, simulates urban traffic demands under various scenarios of urban residential population and employment planning. In a case study, the proposed model was used to simulate urban traffic demands in Beijing under the construction scenario of the city's sub-center in Tongzhou. The case study demonstrates that the UCM can effectively predict urban traffic demands under different land use and transportation scenarios, providing informative policy implications at an early planning stage. This study offers a novel approach for simulating urban traffic demands and is a valuable addition to the existing literature.
对城市通勤交通需求进行科学预测,有助于合理规划城市人口分布、企业布局以及土地利用与交通的协调。本研究建立了一个集空间和时间于一体的城市通勤模型(UCM):从空间上看,就业或人口分布的变化会导致通勤模式的变化;从时间上看,上一年的通勤模式是下一年通勤模式的基础。UCM 以历史通勤矩阵为基础,模拟各种城市居住人口和就业规划情景下的城市交通需求。在一项案例研究中,所提出的模型被用于模拟北京通州城市副中心建设情景下的城市交通需求。该案例研究表明,UCM 可以有效预测不同土地利用和交通情景下的城市交通需求,从而在早期规划阶段提供信息丰富的政策影响。这项研究为模拟城市交通需求提供了一种新方法,是对现有文献的宝贵补充。
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引用次数: 0
Socioeconomic advancement of women in the informal sector in Hosanna City, Ethiopia 埃塞俄比亚 Hosanna 市非正规部门妇女社会经济地位的提高
IF 6 1区 经济学 Q1 URBAN STUDIES Pub Date : 2024-11-09 DOI: 10.1016/j.cities.2024.105580
Tayech Lemma , Mala Sharma
The informal sector serves as a vital source of employment for women, contributing to poverty reduction and household income. However, women in the informal sector often encounter numerous barriers that limit their socio-economic advancement. Hence, this study explores how participation in informal businesses affect women's socioeconomic status, in case of Hossana City, Ethiopia. A purposive and convenient sampling technique was used to select a sample of kebeles and respondents. The descriptive analysis results indicate that majority of women reported improvements in their socioeconomic status since engaging in informal business. The logistic regression results indicate that age, work experience, income, savings, access to capital and credit, market access, and migration are a key factors influencing s socioeconomic advancement. The study underscores the importance of supportive policies and resources to economically empower women in the informal sector, pointing out the need for targeted interventions to tackle gender-specific barriers and promote sustainable development.
非正规经济部门是妇女就业的重要来源,有助于减贫和增加家庭收入。然而,非正规部门的妇女往往会遇到许多限制其社会经济地位提高的障碍。因此,本研究以埃塞俄比亚 Hossana 市为例,探讨参与非正规企业如何影响妇女的社会经济地位。本研究采用了有目的性的方便抽样技术来选择基伯勒和受访者样本。描述性分析结果表明,大多数妇女表示,自从从事非正规经济活动以来,她们的社会经济地位得到了改善。逻辑回归结果表明,年龄、工作经验、收入、储蓄、获得资本和信贷的机会、市场准入和迁移是影响妇女社会经济地位提高的关键因素。这项研究强调了支持性政策和资源对增强非正规部门妇女经济能力的重要性,指出有必要采取有针对性的干预措施,以消除性别障碍,促进可持续发展。
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引用次数: 0
Public, private and the pandemic: Everyday life in large housing estates during the COVID-19 lockdowns 公共、私人和大流行病:COVID-19 封锁期间大型住宅区的日常生活
IF 6 1区 经济学 Q1 URBAN STUDIES Pub Date : 2024-11-09 DOI: 10.1016/j.cities.2024.105575
Slavomíra Ferenčuhová , Marie Sýkora Horňáková , Jana Kočková , Petra Špačková
This paper examines how the COVID-19 pandemic reshaped everyday life within five large housing estates (LHEs) in three major Czech cities: Prague, Brno and Ostrava. Drawing on in-depth interviews with 72 residents, the research explores the dynamics of coping with confinement within the limited space of apartments and their surrounding neighbourhoods. The findings highlight the shifts in the everyday routines of several residents of five LHEs and changes in how they perceived and evaluated their LHEs as a place of residence. Namely, the paper focuses on (temporary) changes in residents' uses and interpretations of public and private spaces and on the shifting boundary between the two. Moreover, it discusses the dynamic perception of “home” as shaped by external events. The paper thus contributes to two ongoing academic debates about, first, the impacts of the pandemic on various urban environments around the world and their residents, and second, the quality of life in the often-criticized 20th century modernist mass housing estates and their resilience in the face of current global challenges. It highlights the role of green areas, the flexible use of public spaces and the availability of local services in modernist mass housing areas – in post-socialist cities and beyond.
本文探讨了 COVID-19 大流行如何重塑捷克三大城市五个大型住宅区(LHE)的日常生活:布拉格、布尔诺和俄斯特拉发。研究通过对 72 名居民的深入访谈,探讨了在公寓及其周边街区的有限空间内应对封闭生活的动态。研究结果突显了五所长住公寓的几位居民日常作息的变化,以及他们对长住公寓作为居住地的看法和评价的变化。也就是说,本文重点讨论了居民对公共空间和私人空间的使用和解释的(暂时性)变化,以及两者之间界限的变化。此外,本文还讨论了外部事件对 "家 "的动态感知。因此,本文有助于两个正在进行的学术辩论:第一,大流行病对世界各地各种城市环境及其居民的影响;第二,经常受到批评的 20 世纪现代主义大众住宅区的生活质量及其面对当前全球挑战的复原力。它强调了绿地的作用、公共空间的灵活使用以及现代主义大众住宅区--在后社会主义城市及其他地区--当地服务的可用性。
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引用次数: 0
Kunz and post-communist geographies of urban poverty in Romania 罗马尼亚城市贫困的 Kunz 和后共产主义地理格局
IF 6 1区 经济学 Q1 URBAN STUDIES Pub Date : 2024-11-09 DOI: 10.1016/j.cities.2024.105582
Sorina Voiculescu
This article examines the spatial, social, economic, and civic dimensions of poverty in a post-communist Romanian city, focusing on the Kunz, an informal neighborhood in Timișoara. In Romanian, areas marked by concentrated poverty are pejoratively referred to as mahala, and internationally as, akin to the pejorative word, ‘slums’. This study sheds light on spatially concentrated poverty in post-communist cities through the lens of urban planning, citizenship, and environmental justice. Drawing on multiple research methods, the research reveals how environmental injustice is perpetuated by the lack of inclusive urban planning strategies, exacerbating existing poverty due to a continuous influx of impoverished populations from various regions. Exploiting legal uncertainties, these newcomers built homes without property deeds, subdividing older land plots. The strong socio-economic cohesion, basic urban infrastructure arrangements, temporary identity cards, and strong family ties within the community mitigate the fear of eviction from substandard housing. Economic crises generate a certain sense of security in the face of eviction as residents in these impoverished areas interpret crises as opportunities for safety. This sentiment prevails as substantial public investments are often delayed, reducing the likelihood of demolition and mass evictions, leaving the population nowhere else to turn.
本文研究了后共产主义时代罗马尼亚城市中贫困的空间、社会、经济和公民层面,重点关注蒂米什瓦拉的一个非正式社区 Kunz。在罗马尼亚语中,集中贫困地区被贬义地称为 "mahala",在国际上则被称为 "贫民窟"。本研究通过城市规划、公民身份和环境正义的视角,揭示了后共产主义城市中的空间集中贫困现象。研究采用多种研究方法,揭示了环境不公正是如何因缺乏包容性的城市规划战略而长期存在,并因来自不同地区的贫困人口的不断涌入而加剧了现有的贫困。这些新来者利用法律上的不确定性,在没有房产证的情况下建造房屋,分割旧地块。社区内强大的社会经济凝聚力、基本的城市基础设施安排、临时身份证和牢固的家庭纽带减轻了人们对不达标住房的恐惧。经济危机使这些贫困地区的居民在面对拆迁时产生了某种安全感,因为他们将危机视为安全的机会。由于大量公共投资往往被推迟,减少了拆迁和大规模驱逐的可能性,使居民无处可去,因此这种情绪占了上风。
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引用次数: 0
Multiuse Cemetery Paradigm: Cemetery as a multifunctional place of social significance – Reshaping a cemetery in the urban space of Eastern Europe 多用途公墓范例:作为具有社会意义的多功能场所的公墓--重塑东欧城市空间中的公墓
IF 6 1区 经济学 Q1 URBAN STUDIES Pub Date : 2024-11-08 DOI: 10.1016/j.cities.2024.105556
Anna Długozima , Ewa Kosiacka-Beck , Katarzyna Krzykawska
In recent years, the notions of European identity, values and heritage have been put on the public agenda. Cemeteries construct ‘European significance’. Eastern Europe is lacking in terms of research and the social use of cemeteries, where these sites are treated as strictly separate ‘gardens of silence’. As cities become denser, green spaces are in danger of decreasing. Cemeteries in Eastern Europe have an untapped green potential. How can the potential of cemeteries be used? What solutions can be implemented to shape the cemetery in Eastern Europe within a multifunctional paradigm? The countries included in this study share the same broad religious cultural heritage shaped by varied Christian traditions: Poland, Slovenia, Hungary, Lithuania, Croatia. A review of multiple case studies of burial sites in Poland and abroad allowed for the creation and compilation of a set of practises related to structure, functions and social role of cemeteries. Moreover, the Scenic Beauty Estimation method was used to determine social preferences regarding the perception of the cemeteries appearance. To highlight the societal value of cemeteries, the concept of a multifunctional municipal cemetery in Gniezno (Poland) was designed.
近年来,欧洲身份、价值观和遗产的概念已被提上公共议程。墓地构建了 "欧洲意义"。东欧缺乏对墓地的研究和社会利用,这些地方被严格视为独立的 "寂静花园"。随着城市变得越来越密集,绿地面临减少的危险。东欧的墓地具有尚未开发的绿色潜力。如何利用墓地的潜力?可以实施哪些解决方案,在多功能模式下塑造东欧的公墓?参与本研究的国家拥有同样广泛的宗教文化遗产,并由不同的基督教传统所塑造:波兰、斯洛文尼亚、匈牙利、立陶宛和克罗地亚。通过对波兰和国外墓葬遗址的多个案例研究进行回顾,我们创建并汇编了一套与墓地结构、功能和社会作用相关的做法。此外,还采用了 "美景估算法 "来确定社会对墓地外观的偏好。为了突出公墓的社会价值,我们设计了格涅兹诺(波兰)多功能市政公墓的概念。
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引用次数: 0
Co-producing new knowledge systems for resilient and just coastal cities: A social-ecological-technological systems framework for data visualization 共同创建新的知识系统,建设有韧性和公正的沿海城市:数据可视化的社会-生态-技术系统框架
IF 6 1区 经济学 Q1 URBAN STUDIES Pub Date : 2024-11-07 DOI: 10.1016/j.cities.2024.105513
Mathieu Feagan , Tischa A. Muñoz-Erickson , Robert Hobbins , Kristin Baja , Mikhail Chester , Elizabeth M. Cook , Nancy Grimm , Morgan Grove , David M. Iwaniec , Seema Iyer , Timon McPhearson , Pablo Méndez-Lázaro , Clark Miller , Daniel Sauter , William Solecki , Claudia Tomateo , Tiffany Troxler , Claire Welty
With increasing frequency and severity, coastal cities are facing the effects of extreme weather events, such as sea-level rise, storm surges, hurricanes, and various types of flooding. Recent urban resilience scholarship suggests that responding to the cascading complexities of climate change requires an understanding of cities as social-ecological-technological systems, or SETS. Advances in data visualization, sensors, and analytics are making it possible for urban planners to gain more comprehensive views of cities. Yet, addressing climate complexity requires more than deploying the latest technologies; it requires transforming the institutional knowledge systems upon which cities rely for preparation and response in a climate-changed future. While debates in the theory and practice of knowledge co-production offer a rich contextual starting point, there are few practical examples of what it means to co-produce new knowledge systems capable of steering urban resilience planning in fundamentally new directions. This paper helps address this gap by offering a case study approach to co-producing new knowledge systems for SETS data visualization in three US coastal cities. Through a series of innovation spaces – dialogues, labs, and webinars – with residents, data experts, and other city stakeholders from multiple sectors, we show how to apply a knowledge systems approach to better understand, represent, and support cities as SETS. To illustrate what a redesigned knowledge system for urban resilience planning entails, we document the key steps and activities that led to a new prototype SETS platform that works with a wider range of ways of knowing – including community-based expertise, interdisciplinary research contributions, and various municipal actors' know-how – to build anticipatory capacity for visualizing and navigating the complex dynamics of a climate-changed future. Our findings point to new roles for activity-based learning, conflict, and SETS visualization technologies in connecting, amplifying, and reorganizing the knowledge assets of community perspectives previously ignored. We conclude with a new understanding of how innovation towards coastal city resilience resides within the co-production process for (re)designing knowledge systems to make them more robust and responsive to cross-sector and cross-city learning.
随着发生频率和严重程度的增加,沿海城市正面临着海平面上升、风暴潮、飓风和各种洪水等极端天气事件的影响。最近的城市复原力学术研究表明,要应对层出不穷的复杂气候变化,就必须将城市理解为社会-生态-技术系统(SETS)。数据可视化、传感器和分析技术的进步使城市规划者有可能更全面地了解城市。然而,应对气候的复杂性需要的不仅仅是部署最新的技术,还需要转变城市所依赖的机构知识体系,以便在气候发生变化的未来做好准备和应对措施。虽然知识共同生产的理论和实践辩论提供了一个丰富的背景起点,但很少有实际案例能说明共同生产新的知识体系意味着什么,能够从根本上引导城市抗灾规划向新的方向发展。本文通过案例研究的方法,为美国三个沿海城市的 SETS 数据可视化提供了共同生产新知识系统的途径,从而有助于弥补这一不足。通过与居民、数据专家和其他来自多个部门的城市利益相关者开展一系列创新空间(对话、实验室和网络研讨会)活动,我们展示了如何应用知识系统方法来更好地理解、表现和支持作为 SETS 的城市。为了说明重新设计的城市抗灾规划知识系统需要什么,我们记录了导致建立新的 SETS 平台原型的关键步骤和活动,该平台与更广泛的认知方式(包括基于社区的专业知识、跨学科研究贡献以及各种市政参与者的专门技能)合作,以建立可视化和驾驭气候变化未来复杂动态的预测能力。我们的研究结果表明,基于活动的学习、冲突和 SETS 可视化技术在连接、放大和重组以前被忽视的社区观点的知识资产方面发挥着新的作用。最后,我们对如何在共同生产过程中实现沿海城市复原力的创新有了新的理解,即(重新)设计知识系统,使其更加强大,并对跨部门和跨城市学习做出反应。
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引用次数: 0
Mapping mobility: Introduction of an index-based approach to understanding human mobilities 绘制流动图:采用基于指数的方法了解人类流动性
IF 6 1区 经济学 Q1 URBAN STUDIES Pub Date : 2024-11-06 DOI: 10.1016/j.cities.2024.105540
Alexander Rammert
This paper discusses the multifaceted challenges associated with translating the concept of human mobilities into practical application within the realm of international planning. Additionally, it introduces the utilization of a scientific index methodology as a viable solution to address these challenges. Although scientific indices are not commonly employed in planning practices, they prove to be well-suited for the structured operationalization of intricate phenomena, such as mobility. Following a concise theoretical overview, this paper systematically outlines the process of operationalizing a social science-based concept of mobility to create an index. To facilitate this endeavor, a theoretical framework for a Mobility Index is constructed, and a comprehensive list of essential indicators required for its computation is developed, drawing from international research. Subsequently, this spatial mobility index is computed using accessibility and user survey data from a district in Berlin, Germany. The outcomes of this index are then visually depicted on maps, offering a clear representation of disparities in mobility options across the studied area. Consequently, the mobility index introduces an innovative approach for planning professionals to identify variations in human mobilities within their study areas, facilitating more informed decision-making.
本文讨论了在国际规划领域将人类流动性概念转化为实际应用所面临的多方面挑战。此外,本文还介绍了利用科学指数方法来应对这些挑战的可行方案。虽然科学指数在规划实践中并不常用,但事实证明,它们非常适合于对流动性等复杂现象进行结构化操作。在简明扼要的理论概述之后,本文系统地概述了将基于社会科学的流动性概念操作化以创建指数的过程。为了促进这项工作,本文构建了流动性指数的理论框架,并借鉴国际研究成果,制定了计算流动性指数所需的基本指标综合清单。随后,利用德国柏林一个地区的可达性和用户调查数据,计算出这一空间流动性指数。该指数的结果被直观地描绘在地图上,清晰地展示了研究区域内流动性选择的差异。因此,流动性指数为规划专业人员提供了一种创新方法,可用于识别研究区域内人类流动性的差异,从而有助于做出更明智的决策。
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引用次数: 0
Understanding the user perspective on urban public spaces: A systematic review and opportunities for machine learning 了解用户对城市公共空间的看法:系统回顾与机器学习的机遇
IF 6 1区 经济学 Q1 URBAN STUDIES Pub Date : 2024-11-06 DOI: 10.1016/j.cities.2024.105535
Yihan Zhu , Ye Zhang , Filip Biljecki
With people-centered approaches gaining prominence in urban development, studying urban public spaces from the user's perspective has become crucial for effective urban design, planning, and policy-making. The rapid advancement of Machine Learning (ML) techniques has enhanced the ability to analyze and understand user data in urban public spaces, such as usage patterns, activities, and public opinions. However, limited efforts have been made on a structured understanding of urban public spaces from the user's perspective. These knowledge gaps have also hindered the full realization of ML's potential in describing and analyzing urban public spaces. After systematically reviewing 319 relevant papers, this study analyzes ten dimensions of the user's perspective on urban public spaces and identifies three unaddressed issues: (1) interpretation of user's perception, (2) overlooked user demographics, and (3) data acquisition. In addition, this review also examines the applications of ML to these dimensions and their potential to tackle the three issues, and highlights two main opportunities to integrate ML for more rigorous and data-driven public spaces studies: (1) combining Computer Vision and Natural Language Processing in public spaces quality measurement and (2) investing in high-quality user data.
随着以人为本的方法在城市发展中日益突出,从用户角度研究城市公共空间已成为有效城市设计、规划和政策制定的关键。机器学习(ML)技术的快速发展提高了分析和理解城市公共空间中用户数据的能力,如使用模式、活动和公众意见。然而,从用户角度出发对城市公共空间进行结构化理解的努力还很有限。这些知识空白也阻碍了充分发挥 ML 在描述和分析城市公共空间方面的潜力。在系统回顾了 319 篇相关论文后,本研究分析了用户视角下城市公共空间的十个维度,并指出了三个尚未解决的问题:(1) 对用户感知的解释,(2) 被忽视的用户人口统计,以及 (3) 数据获取。此外,本综述还研究了智能语言在这些维度上的应用及其解决这三个问题的潜力,并强调了将智能语言整合到更严谨和数据驱动的公共空间研究中的两个主要机会:(1) 在公共空间质量测量中结合计算机视觉和自然语言处理;(2) 投资于高质量的用户数据。
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