本次给大家整理的是《Sustainable Cities and Society》杂志2023年12月第99期的论文的题目和摘要，一共包括51篇SCI论文！由于论文过多，我们将通过两篇文章进行介绍，本篇介绍第1—第30篇论文！
论文1
Measuring compliance with the 15-minute city concept: State-of-the-art, major components and further requirements
衡量 15 分钟城市概念的合规性：从最新技术、主要组成部分与深入需求出发
【摘要】
Triggered by the COVID-19 crisis, the 15-min city concept has emerged as a new model of city vision. This increasingly popular urban planning paradigm brings the idea of living locally at the forefront of city planning, aiming to alleviate the intense urban challenges. Although the 15-min city concept may hold a paradigm-changing potential for the future of urban and transport planning, its implementation should be supported by a comprehensive methodology for assessing cities’ compliance with the concept requirements, which in turn requires a thorough understanding of the concept's core elements and principles. While previous research has contributed greatly to the literature of measuring cities’ performance from a 15-min city perspective, some theoretical and, in particular, methodological questions remain open. To this end, the current paper seeks to shed light on these issues, through examining the key components, determining the state-of-the-art and the predominant practice, identifying the gaps, and providing recommendations for a more holistic compliance assessment. The major gaps were found to be related to the methodological approaches used, with the different concept dimensions being treated in a fragmentary manner. The recommendations provided could further enhance the performance evaluation process, towards the development of accessible and well-connected urban neighborhoods.
【摘要翻译】
在新冠疫情危机的触发下，15 分钟城市概念已成为城市愿景的新模式。这种日益流行的城市规划范式将本地生活理念置于城市规划的最前沿，旨在缓解激烈的城市挑战。虽然15分钟城市概念可能有着改变未来的城市和交通规划范式的潜力，但其实施应结合城市与概念的相匹配性的支持，这反过来又需要对概念的核心要素和原则有透彻的理解。虽然以前的研究对从15分钟城市角度衡量城市绩效的文献做出了巨大贡献，但一些理论问题，特别是方法论问题仍然悬而未决。为此，本文件试图通过检验其重要组成部分、确定最新技术和主要做法、查明差距以及为更全面的合规情况评估提出建议来阐明这些问题。研究发现主要差距与所使用的方法有关，不同的概念在不同层面处理的过于零碎。而本文所提供的建议可以进一步加强绩效评估过程，以发展无障碍和连通性良好的城市社区。
【doi】
10.1016/j.scs.2023.104875
【作者信息】
无
论文2
An integrated literature review on Urban and peri-urban farming: Exploring research themes and future directions
城市与城郊农业综合文献综述：研究主题与未来方向探讨
【摘要】
In recent years, Urban and peri-urban farming (UPF) research has experienced significant growth, but a comprehensive global overview is lacking. This study examined UPF research from 2002 to 2022 using an integrated literature review approach, includingsystematic literature review, bibliometric analysis, and thematic assessment. Analyzing 1,257 articles from the Web of Science database with Vosviewer and Bibliometrix, key keywords identified in the literature were urban agriculture, food security, local food systems, community gardens, and sustainable agriculture. Prominent research trends included the Internet of Things (IoT), resilience, Controlled environment agriculture (CEA), plant factories, Life cycle assessment (LCA), and vertical farming. Publications by US-affiliated authors received higher citations, and co-authorship collaborations from China, India, and Brazil were observed in UPF research network. Notable institutions with significant contributions and collaboration links in UPF research were the University Autonoma de Barcelona, the University of Kassel, and the National University of Singapore. This study's findings offer valuable insights for researchers and policymakers in the food and agriculture industry, providing a comprehensive overview of the UPF domain and suggesting future research directions. This review advances urban farming practices, informing decision-making processes, research priorities and developing the policies and initiatives to foster resilient and sustainable urban farming.
【摘要翻译】
近年来，城市和城郊农业（UPF）研究虽然了显著增多，但缺乏全面的全球概览。本研究使用综合文献综述法查阅了 2002 年至 2022 年的 UPF研究，包括系统文献综述、文献计量分析和专题评估。使用Vosviewer和Bibliometrix分析了Web of Science数据库中的1,257篇文章，文献中确定的主要关键词是城市农业，粮食安全，当地粮食系统，社区花园和可持续农业。突出的研究趋势包括物联网（IoT），弹性，受控环境农业（CEA），植物工厂，生命周期评估（LCA）和垂直农业。美国附属作者的出版物有着较高d的引用率，并且在UPF研究网络中观察到了来自中国，印度和巴西的共同作者的合作。巴塞罗那自治大学，卡塞尔大学和新加坡国立大学在UPF研究方面做出重大贡献。这项研究的结果为食品和农业行业的研究人员和政策制定者提供了宝贵的见解，提供了UPF领域的全面概述，并提出了未来的研究方向。本综述推进了城市农业实践，为决策过程、研究重点以及制定促进有弹性和可持续的城市农业的政策和举措提供了信息。
【doi】
10.1016/j.scs.2023.104878
【作者信息】
无
论文3
A survey of urban drive-by sensing: An optimization perspective
城市驱动感知综述：优化视角
【摘要】
Pervasive and mobile sensing is an integral part of smart transport and smart city applications. Vehicle-based mobile sensing, ordrive-by sensing (DS), is gaining popularity in both academic research and field practice. The DS paradigm has an inherent transport component, as the spatial–temporal distribution of the sensors are closely related to the mobility patterns of their hosts, which may include third-party (e.g. taxis, buses) or for-hire (e.g. unmanned aerial vehicles and dedicated vehicles) vehicles. It is therefore essential to understand, assess and optimize the sensing power of vehicle fleets under a wide range of urban sensing scenarios. To this end, this paper offers an optimization-oriented summary of recent literature by presenting a four-step discussion, namely (1) quantifying the sensing quality (objective); (2) assessing the sensing power of various fleets (strategic); (3) sensor deployment (strategic/tactical); and (4) vehicle maneuvers (tactical/operational). By compiling research findings and practical insights in this way, this review article not only highlights the optimization aspect of drive-by sensing, but also serves as a practical guide for configuring and deploying vehicle-based urban sensing systems.
【摘要翻译】
随处可见的移动传感是智能交通和智慧城市应用不可或缺的一部分。基于车辆的移动传感或驾驶感知（DS）在学术研究和现实实践中越来越受欢迎。DS范式具有固有的传输组件，因为传感器的时空分布与其主机的移动模式密切相关，其中可能包括第三方（例如出租车，公共汽车）或出租（例如无人驾驶飞行器和专用车辆）车辆。因此，在广泛的城市感知场景中，了解、评估和优化车队的传感能力至关重要。为此，本文通过四步讨论，对近期文献进行了以优化为导向的总结，即（1）量化传感质量（目标）;（2）评估各种舰队的传感能力（战略）;（3）传感器部署（战略/战术）;（4）车辆机动（战术/作战）。通过以这种方式汇编研究成果和实践见解，本文不仅突出了驱动式传感的优化层面，而且为配置和部署基于车辆的城市传感系统提供了实用指南。
【doi】
10.1016/j.scs.2023.104874
【作者信息】
WenJi,西南交通大学交通运输与物流学院系统科学与工程研究所
KeHan, 西南交通大学交通运输与物流学院系统科学与工程研究所
TaoLiu, 西南交通大学交通运输与物流学院系统科学与工程研究所
论文4
Resilience of urban social-ecological-technological systems (SETS): A review
城市社会生态技术系统（SETS）的弹性研究进展
【摘要】
Resilience is a widely debated concept that encompasses various interpretations and definitions. Recently, in science and policy circles, there has been a growing interest in the concept of Social-Ecological-Technological Systems (SETS) resilience which offers a new interpretation. While this concept is now used frequently, it is not properly understood and there is still a lack of clarity on what it means and itsunderpinning principles. This lack of clarity and understanding may confuse and even disorient researchers and policy makers. To address this issue, we review the literature published in the context of urban systems. The reviewed literature is mainly focused on nature-based solutions, indicating more contributions from the ecological field. Also, flooding, extreme heat, and drought are major stressors discussed in the literature. We elaborate on the definition of SETS resilience and discuss that its dominant principles are adaptability, transformability, flexibility, redundancy, equity, diversity, foresight capacity, connectivity, robustness, multi-functionality, learning, and non-linearity. We also expound upon the key components of SETS, how they are intertwined, and potential trade-offs that may emerge between them. Our study demonstrates that the implementation of the SETS approach leads to numerous ancillary benefits. These include benefits for climate change adaptation and mitigation, pandemic prevention and response, human health and well-being, and justice. If multi-level and polycentric governance strategies are adopted, it can also help avoid trade-offs that may emerge between social, ecological, and technological dimensions. We conclude by emphasizing that the literature is dominated by epistemological approaches and more empirical research is needed to understand better the complex dynamics of SETS resilience.
【摘要翻译】
弹性是一个广泛争论的概念，包含各种解释和定义。最近，在科学和政策界，人们对社会-生态-技术系统（SETS）弹性的概念越来越感兴趣，这也对该概念提出了新的见解。虽然这个概念现在经常被使用，但其实并没有对其进行正确的理解，因此它的含义及其基本原则仍然不明确。这种缺乏清晰度和相关理解的概念可能会使研究人员和政策制定者感到困惑甚至迷失方向。为了解决这个问题，我们回顾了在城市系统背景下发表的文献。综述的文献主要集中在基于自然的解决方案上，表明生态领域的贡献更大。此外，洪水、极端高温和干旱是文献中讨论的主要压力源。我们详细阐述了SETS弹性的定义，并讨论了其主要原则是适应性，可转换性，灵活性，冗余性，公平性，多样性，预见能力，连通性，稳健性，多功能性，学习性和非线性。我们还阐述了SETS的关键组成部分，它们是如何关联在一起的，以及它们之间可能出现的潜在权衡。我们的研究表明，实施SETS方法会带来许多附带的好处。其中包括对适应和减缓气候变化、预防和应对流行病、人类健康和福祉以及正义的惠益。如果采用多层次和多中心的治理策略，它还可以帮助避免在社会、生态和技术维度之间可能出现的权衡取舍。最后，我们强调文献以认识论方法为主，需要更多的实证研究来更好地了解SETS弹性的复杂动态。
【doi】
10.1016/j.scs.2023.104910
【作者信息】
无
论文5
Research on household energy demand patterns, data acquisition and influencing factors: A review
家庭能源需求格局、数据采集及影响因素研究进展
【摘要】
Understanding household energy consumption (HEC) demand patterns and their influencing factors at different times can provide insights into household energy demand and consumption behavior. Combining with optimization technology can improve energy efficiency, promote energy conservation, and predict future energy demand. Obtaining comprehensive and accurate data is the basis for revealing and analyzing HEC patterns and related activities. The main purpose of this paper is to review the current methods of obtaining HEC data in different time dimensions, HEC patterns, and influencing factors at different times, and organically combine all three. We first start with HEC data. This paper provides an overview of the current methods and data types used to collect information on HEC and related activities. It includes macro panel data, micro questionnaire survey data, micro case study data, and micro smart meter and advanced sensor data. Following this, presents current studies on HEC patterns, with a focus on cross-country comparisons in the temporal dimension. Direct and indirect (time-occupancy) studies are two ways of studying HEC patterns over time. Finally, discusses the factors that influence HEC demand, such as climate, building type, and socio-demographic factors. The understanding of these factors is crucial for promoting energy conservation and efficiency in households.
【摘要翻译】
了解不同时期的家庭能源消耗（HEC）需求模式及其影响因素可以深入了解家庭能源需求和消费行为。结合优化技术，可以提高能源效率，促进节能，预测未来的能源需求。揭示和分析HEC模式和相关活动的基础则是要获得全面准确的数据。本文主要综述了目前在不同时间维度、不同时间维度、HEC模式和影响因素下获取HEC数据的方法，并将这三者有机结合。我们首先从HEC数据开始。本文概述了当前用于收集HEC和相关活动信息的方法和数据类型。它包括宏观面板数据、微观问卷调查数据、微观案例研究数据以及微型智能电表和高级传感器数据。在此之后，介绍了当前关于HEC模式的研究，重点是时间维度上的跨国比较。直接和间接（时间占用）研究是研究HEC模式随时间变化的两种方法。最后，讨论了影响HEC需求的因素，例如气候，建筑类型和社会人口因素。了解这些因素对于促进家庭节能和效率至关重要。
【doi】
10.1016/j.scs.2023.104916
【作者信息】
Ya-HuiChen , 北京航空航天大学航空科学与工程学院
Yun-ZeLi , 北京航空航天大学航空科学与工程学院
HaihaoJiang , 广东美的空调设备有限公司
ZhaobinHuang , 广东美的空调设备有限公司
论文6
Combined and delayed impacts of epidemics and extreme weather on urban mobility recovery
流行病和极端天气对城市交通恢复的综合延迟影响
【摘要】
The ever-increasing pandemic and natural disasters might spatial-temporal overlap to trigger compound disasters that disrupturban life, including human movements. In this study, we proposed a framework for data-driven analyses on mobility resilience to uncover the compound effects of COVID-19 and extreme weather events on mobility recovery across cities with varied socioeconomic contexts. The concept of suppression risk (SR) is introduced to quantify the relative risk of mobility being reduced below the pre-pandemic baseline when certain variables deviate from their normal values. By analysing daily mobility data within and between 313 Chinese cities, we consistently observed that the highest SR under outbreaks occurred at high temperatures and abnormal precipitation levels, regardless of the type of travel, incidences, and time. Specifically, extremely high temperatures (at 35 °C) increased SR during outbreaks by 12.5%-120% but shortened the time for mobility recovery. Increased rainfall (at 20 mm/day) added SRs by 12.5%-300%, with delayed effects reflected in cross-city movements. These compound impacts, with varying lagged responses, were aggravated in cities with high population density and low GDP levels. Our findings provide quantitative evidence to inform the design of preparedness and response strategies for enhancing urban resilience in the face of future pandemics and compound disasters.
【摘要翻译】
日益严重的流行病和自然灾害可能由于时空重叠，以引发复合灾害，扰乱城市生活、人口流动。在本次研究中，我们提出了一个数据驱动的移动弹性分析框架，以揭示新冠疫情z和极端天气事件对具有不同社会经济背景的城市流动性恢复的复合影响。引入抑制风险（SR）的概念是为了量化当某些变量偏离其正常值时流动性降低到大流行前基线以下的相对风险。通过分析中国313个城市内部和之间的日常流动性数据，我们一致观察到，无论旅行类型、发病率和时间如何，爆发时SR最高的温度都发生在高温和异常降水水平下。具体而言，极高的温度（35°C）使暴发期间的SR增加了12.5%-120%，但缩短了流动性恢复的时间。降雨量增加（20毫米/天）使SR增加了12.5%-300%，延迟则效应反映在跨城市运动中。这些复合影响，反应滞后程度各不相同，在人口密度高、国内生产总值水平低的城市中更为严重。我们的研究结果提供了定量证据，为设计准备和响应策略提供信息，以增强城市在未来面对流行病和复合灾害时的复原力。
【doi】
10.1016/j.scs.2023.104872
【作者信息】
HaiyanLiu, 南方海洋科学与工程广东省实验室（珠海）海洋科学数据中心
Jianghao Wang, 中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室
JianLiu , 南方海洋科学与工程广东省实验室（珠海）海洋科学数据中心
YongGe , 中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室
XiaoliWang , 北京市疾病预防控制中心
ChiZhang , 中山大学公共卫生学院（深圳）
Eimear Cleary ,
NickW. Ruktanonchai ,
CorrineW.Ruktanonchai ,
YongchengYao , 国防科技大学系统工程学院, 复旦大学上海传染病与生物安全研究所
AmyWesolowski ,
XinLu, 复旦大学上海传染病与生物安全研究所
,Andrew J. Tatem ,
Xuemei Bai , 澳大利亚国立大学芬纳环境与社会学院,
ShengjieLai, 复旦大学上海传染病与生物安全研究所
论文7
Equation discovery of dynamized coefficients in thek-ε model for urban airflow and airborne contaminant dispersion
城市气流和空气污染物扩散的k-ε模型中动态系数的方程探索
【摘要】
Urban airflow and pollution modeling using steady Reynolds-averaged Navier-Stokes (SRANS) with two-equation models has faced accuracy challenges, limiting its reliability for sustainable city design. The low accuracy has been attributed toSRANS ill-conditioning, the linear eddy viscosity hypothesis, and uncertainty contributed by empirical formulations and coefficients. Many studies have attempted to modify the two-equation models specifically for urban problems by correcting the model formulations and calibrating the coefficients. However, these corrections often improve accuracy for targeted regions or quantities while diminishing it elsewhere. This stems from inflexibility in the model form. To mitigate the trade-offs and improve generalizability, this study introduces multiple dynamic correctors to the k-ε coefficients for expanded design space. In particular, the robustness and redistributability of the corrected model were considered by retaining the theoretical interpretation of turbulence and employing symbolic correctors. The gene expression programming technique was employed for equation discovery. The increased model flexibility mitigated the trade-offs in accuracies for different quantities in the training case. The generalizability of a corrected model was evaluated for airflow and dispersion around a single building, a building array, and a group of complex buildings. The corrected model performed consistently for the three flow types and exhibited generalizability.
【摘要翻译】
使用稳定雷诺平均纳维-斯托克斯（SRANS）和双方程模型进行城市气流和污染建模所面临的精度挑战，限制了其可持续城市设计的可靠性。低准确度归因于SRANS失调，线性涡流粘度假说以及经验公式和系数引起的不确定性。许多研究试图通过校正模型公式和校准系数来修改专门针对城市问题的双方程模型。然而，这些校正通常会提高目标区域或数量的准确性，而在其他地方降低准确性。这源于模型形式的不灵活性。为了减少权衡并提高泛化性，本研究在扩展设计空间的k-ε系数中引入了多个动态校正器。特别是通过保留湍流的理论解释并采用符号校正器来考虑校正模型的鲁棒性和可再分配性。基因表达编程技术用于方程发现。增加的模型灵活性减轻了训练案例中不同数量的精度权衡。评估校正模型的泛化性，以了解单个建筑物、建筑物阵列和一组复杂建筑物周围的气流和分散。校正后的模型在三种流动类型下表现一致，并表现出泛化性。
【doi】
10.1016/j.scs.2023.104881
【作者信息】
RunminZhao , 天津大学环境科学与工程学院，天津市室内空气环境质量控制重点实验室
SumeiLiu , 天津大学环境科学与工程学院，天津市室内空气环境质量控制重点实验室,
JunjieLiu , 天津大学环境科学与工程学院，天津市室内空气环境质量控制重点实验室
NanJiang , 天津大学 机械工程学院
QingyanChen , 香港理工大学建筑环境及能源工程系
论文8
Emergent temporary appropriation versus lockdown regulations: The case of Venice
紧急临时拨款与封锁规定：以威尼斯为例
【摘要】
This paper explores the nexus between temporary appropriation (TA) and the sense of community (SOC) in the context of Venice, Italy. Inspired by an agential realism and diffractive methodology, it focuses on spatial material composition of matter, examining the emergent assemblage of TA and its role in enhancing SOC. The findings reveal the interplay between cultural, legal, and built-environment factors in shaping TA opportunities. The human-scale and fractal design of Venice, the coexistence of various legal and customary laws, and the social bonds amongst residents contribute to the emergence of TA, fostering a strong sense of community. It selects Sestiere Santa Croce, examining the laws set out by the Italian government which regulate public space's use during the last pandemic lockdown. The study emphasises the temporal dimension, highlighting the dynamic relationships and intra-actions amongst these elements. However, limitations such as a small sample size and contextual specificity to Venice are acknowledged. By understanding and harnessing the potential of TA, architects, urban designers and policymakers can create more inclusive and vibrant public spaces that promote social resilience. This research contributes to alternative ways of knowing and understanding the world, calling for interdisciplinary approaches to analyse urban dynamics and community development.
【摘要翻译】
本文探讨了意大利威尼斯背景下临时拨款（TA）和社区意识（SOC）之间的联系。受代理现实主义和衍射方法的启发，其侧重于物质的空间材料组成，研究TA的涌现组合及其在增强SOC中的作用。研究结果揭示了文化、法律和建筑环境因素在塑造 TA 机会方面的相互作用。威尼斯的人性化和分形设计，各种法律和习惯法的共存，以及居民之间的社会纽带，促成了TA的出现，培养了强烈的社区意识。本文选择了塞斯蒂尔圣十字教堂，审查了意大利政府制定的法律，这些法律规范了上次大流行封锁期间公共空间的使用。该研究强调时间维度，强调这些要素之间的动态关系和内在作用。然而，诸如样本量小和威尼斯的背景特异性等局限性也是存在的。通过了解和利用TA的潜力，建筑师、城市设计师和政策制定者可以创造更具包容性和活力的公共空间，促进社会韧性。本研究有助于寻求不同的方法来了解和理解世界，呼吁跨学科方法来分析城市动态和社区发展。
【doi】
10.1016/j.scs.2023.104854
【作者信息】
无
论文9
Assessing the impact of normative messages in encouraging the use of sustainable mobility. An experimental study
一项实验研究—评估规范性信息在鼓励使用可持续交通方面的影响
【摘要】
Urban communities’ travel behavior is one of the key factors in implementing behavioral interventions to promote sustainable mobility. This study investigates whether receiving a normative message alongside feedback information (on time and cost savings, reduced emissions, and burned calories) can contribute to persuading individuals toward sustainable mobility. For this purpose, we conducted a randomized controlled trial experiment in 2021 in the metropolitan area of Cagliari. We intercepted a sample of students and workers who usually commute by car and proposed them a personalized sustainable alternative (walking, cycling, or public transport). Then, we contacted participants again asking about their intention to use the proposed alternative, after presenting them with one of five randomly assigned normative messages: descriptive, injunctive, descriptive+injunctive, injunctive+descriptive, and no message (control group). For our analysis, 577 responses to the last survey were considered. Results show that a large share of the sample (36.9%) intended to change travel behavior. Furthermore, we found that the injunctive normative message is significantly more effective forpublic transport. Instead, no significant differences were detected when an active mobility alternative was proposed. Finally, our analysis revealed different normative measures’ effectiveness depending on the trip characteristics of the suggested alternative and the individuals’ socio-demographic characteristics.
【摘要翻译】
城市社区的出行行为是实施行为干预以促进可持续交通的关键因素之一。本研究调查了接收规范性信息以及反馈信息（节省时间和成本、减少排放和燃脂）是否有助于说服个人采用可持续交通。为此，我们于 2021 年在卡利亚里大都市区进行了一项随机对照试验实验。我们截获了通常开车上下班的学生和工人样本，并向他们提出了个性化的可持续替代方案（步行、骑自行车或公共交通）。然后，我们再次联系参与者，询问他们是否打算使用所提供的替代方案，并向他们展示五个随机分配的规范性信息之一：描述性、禁令性、描述性+禁令性、禁令性+描述性和无信息（对照组）。在我们的分析中，考虑了对上次调查的577份回复。结果显示，很大一部分样本（36.9%）旨在改变旅行行为。此外，我们发现禁令规范信息对公共交通更有效。相反，当提出主动出行替代方案时，并没有发现显著差异。最后，我们的分析不同的规范性措施的有效性，发现这取决于所建议替代方案的行程特征和个人的社会人口特征。
【doi】
10.1016/j.scs.2023.104868
【作者信息】
无
论文10
New infrastructure-lead development and green-technologies: Evidence from the Pearl River Delta, China
以基础设施为主导的新发展和绿色技术：以中国珠江三角洲为例
【摘要】
Understanding the interaction between infrastructure and environment is crucial for shaping resilient cities. The solution based on emergingtechnologies to drive sustainable transition is a key dimension. Although green transition and the enabling effects of emerging technologies have received significant attention in environmental research and economic geography, research on the role of new infrastructure in this transition is still insufficient. This study links the new infrastructure discourse with technology discourse to establish the relationship between key technologies and the patents classification system. A spatial database of new infrastructure key technologies patents for the period of 2016–2020 is constructed consequently. Through spatial analysis and econometric methods, our research revealed the spatiotemporal evolution characteristics of new infrastructure key technologies in the Pearl River Delta and their enabling effects on green technologies. This study is significant for the management of emerging technologies and green innovation transition in China in the new era. We believe that, despite differences in discourse, China's new infrastructure construction essentially aims to pursue emerging enabling technologies. The pursuit of disruptive technology and the urgency of green innovation transition are the core driving forces for China's integration into the global technology system.
【摘要翻译】
了解基础设施与环境之间的相互作用对于塑造韧性城市至关重要。基于新兴技术的解决方案推动可持续转型是一个关键维度。尽管绿色转型和新兴技术的赋能效应在环境研究和经济地理学中受到极大关注，但对新基础设施在这一转型中的作用的研究仍然不足。本研究将新基建话语与技术话语联系起来，建立关键技术与专利分类体系的关系。构建2016—2020年新基建关键技术专利空间数据库。通过空间分析和计量经济学方法，揭示了珠三角新基建关键技术的时空演化特征及其对绿色技术的赋能作用。本研究对新时代中国新兴技术管理与绿色创新转型具有重要意义。我们认为，尽管表达存在分歧，但中国的新基础设施建设本质上旨在追求新兴的能动技术。对颠覆性技术的追求和绿色创新转型的紧迫性是中国融入全球技术体系的核心驱动力。
【doi】
10.1016/j.scs.2023.104864
【作者信息】
WuKangmin, 广东省科学院广州地理研究所
YeYuyao, 广东省科学院广州地理研究所
WangXiangyu, 广州市社会科学院
LiuZhengqian, 广东省科学院广州地理研究所
ZhangHong'ou, 广东省科学院广州地理研究所
论文11
Inferring nonwork travel semantics and revealing the nonlinear relationships with the community built environment
推断非工作旅行语义并揭示与社区建筑环境的非线性关系
【摘要】
The relationship between the built environment and nonwork travels reveals potential supply-demand status between urban functional facilities and diverse living travels, which provide critical indicative information for urban spatial structure optimization. Benefiting from the large-scale travel datasets, it would be possible to investigate deeper research by modeling the implied nonwork travel semantics (such as travel purposes). This study designs a framework to reveal the nonlinear relationships between the community built environment and the potential semantics of nonwork travel trajectories. First, we construct indicators to characterize the built environment of individuals’ living communities. Then, focusing on the definition of activity areas around drop-off points, latentDirichlet allocation (LDA) is utilized to infer the implied semantics of nonwork travel. The random forest model is employed to quantify the relationships between the community built environment and nonwork travel with various semantics. The experimental results obtained with real-life datasets from Haikou, China uncover both compensatory nonwork travel derived from diverse facility accessibility and the contributions of housing attributes to travel semantic discrepancies. The findings provide scientific references for the optimization of urban spatial layouts of both functional facilities and residential communities to meet the living demands of diverse residents without long-distance intracity travel.
【摘要翻译】
建筑环境与非工作出行的关系揭示了城市功能设施与多样化生活出行之间的潜在供需状况，为城市空间结构优化提供了重要的指示性信息。受益于大规模旅行数据集，可以通过对隐含的非工作旅行语义（例如旅行目的）进行建模来研究更深入的研究。本研究设计了一个框架，以揭示社区建筑环境与非工作旅行轨迹的潜在语义之间的非线性关系。首先，我们构建指标来表征个人生活社区的建筑环境。然后，围绕下车点活动区域的定义，利用潜在狄利克雷分配（LDA）推断非工作旅行的隐含语义。采用随机森林模型以各种语义量化社区建筑环境与非工作旅行之间的关系。使用来自中国海口的真实数据集获得的实验结果揭示了来自不同设施可达性的补偿性非工作旅行以及住房属性对旅行语义差异的贡献。研究结果可为优化功能设施和居住社区的城市空间布局提供科学参考，以满足不同居民无需长途的城内旅行的生活需求。
【doi】
10.1016/j.scs.2023.104889
【作者信息】
BingbingZhao, 中南大学地球科学与信息物理学院地球信息学系
MinDeng, 中南大学地球科学与信息物理学院地球信息学系
YanShi, 中南大学地球科学与信息物理学院地球信息学系
论文12
Networking and sustainable development of urban spatial planning: Influence of rail transit
城市空间规划的网络与可持续发展：轨道交通的影响
【摘要】
Urban rail transit supports the development of megacities, while changes in urban spatial structure affect the structure of urban rail transit networks and thecarbon emissions of vehicles. The interactions between urban rail transit and urban space in megacities form a complex spatial networking system. It has become important to guide cities toward low-carbon, energy-saving, and sustainable development through rail transit planning recently. To address this need, this study engages in theoretical clarification by, first, conducting a literature metrology analysis method to explore the relationship between rail transit, urban space, and sustainability. The analysis revealed that improving rail transit network efficiency for urban sustainable development. Next, this study summarized (1) the laws of the role of rail transit on urban spatial structure. (2) Pointed out there is a relative lack of research on the internal network structure of megacities. Lastly, the study summarized the influencing factors and optimization measures of network efficiency from existing literature and it is pointed out that (1) the optimization of network efficiency lacks consideration of sustainable urban concepts, and there are few studies on rail transit network efficiency. (2) The collaborative development of urban spatial networks driven by Big Data is a future research trend.
【摘要翻译】
城市轨道交通支撑着特大城市的发展，而城市空间结构的变化影响着城市轨道交通网络的结构和车辆的碳排放。特大城市轨道交通与城市空间的互动形成了一个复杂的空间联网系统。近年来，通过轨道交通规划引导城市走向低碳、节能和可持续发展变得非常重要。针对这一需求，本研究首先通过文献计量分析方法进行理论梳理，探讨轨道交通、城市空间和可持续发展之间的关系。分析显示，提高轨道交通网络效率有助于城市可持续发展。其次，本研究总结了（1）轨道交通对城市空间结构作用规律。（2）指出对特大城市内部网络结构的研究相对缺乏。最后，从现有文献中总结了管网效率的影响因素和优化措施，指出（1）网络效率优化缺乏，对可持续城市概念的考虑，对轨道交通网络效率的研究较少。（2）大数据驱动的城市空间网络协同发展是未来的研究趋势。
【doi】
10.1016/j.scs.2023.104865
【作者信息】
XiaotongLiu , 北京交通大学交通导向发展研究院
HaishanXia, 北京交通大学建筑与设计学院
论文13
OpenBIM-based assessment for social cost of carbon through building life cycle
基于OpenBIM的建筑生命周期碳社会成本评估
【摘要】
Buildings produce many carbon emissions in their life cycle, which leads to global warming, human disease, ecosystem destruction, and food shortages. These harms are translated and revealed into the social cost of carbon (SCC), but assessing the building SCC considering protection objects is still difficult due to the lack of adequate and rapid tools. Therefore, this paper proposes a method based on OpenBIM to calculate the SCC through the building life cycle. This method reflects the cause-effect chains of carbon emissions on human health, ecosystem quality, and social assets under LIME, EPS, and ReCiPe approaches. An original tool, NMBIM, is developed based on this proposed method, which calculates the SCC of a case building by directly importing industry foundation classes (IFC) files. The case results show that the maximum life cycle SCC reaches 5872.4RMB/m2, which exceeds the construction cost. Although SCC results obtained by different LCIA models vary widely, the ones of human health are the most concerned protection objects. This paper provides an effective method for standardly storing and optimizing SCC at the project design stage, which contributes to construction industry planning, construction company decision-making, and public regulation.
【摘要翻译】
建筑物在其生命周期中会产生许多碳排放，从而导致全球变暖、人类疾病、生态系统破坏和粮食短缺。这些危害被转化为碳（SCC）的社会成本，但由于缺乏足够和快速的工具，因此考虑到保护对象的建筑SCC评估仍然很困难。因此，本文提出了一种基于OpenBIM的计算建筑生命周期内SCC的方法。该方法反映了LIME，EPS和ReCiPe方法下碳排放对人类健康，生态系统质量和社会资产的因果链。基于这种提出的方法开发了原始工具NMBIM，该方法通过直接导入行业基础类（IFC）文件来计算案例构建的SCC。算例结果表明，SCC最大生命周期达到5872.4 RMB / m2，超过了建设成本。尽管不同LCIA模型获得的SCC结果差异很大，但人类健康的结果是最受关注的保护对象。本文为在项目设计阶段标准化存储和优化SCC提供了一种有效的方法，有助于建筑行业规划、建筑公司决策和公共监管。
【doi】
10.1016/j.scs.2023.104871
【作者信息】
KunLu , 上海交通大学船舶与海洋与土木工程学院， 建筑信息模型研究中心
XueyuanDeng, 上海交通大学船舶与海洋与土木工程学院， 建筑信息模型研究中心,
论文14
Boosting urban community resilience to multi-hazard scenarios in open spaces: A virtual reality – serious game training prototype for heat wave protection and earthquake response
提高城市社区对开放空间中多种灾害场景的适应能力：虚拟现实——用于热浪保护和地震响应的严肃游戏培训原型
【摘要】
A key role in making cities resilient has been acknowledged in raising risk preparedness and awareness of urban communities, by appropriate education and communication strategies, which should rely on innovative and pervasive tools. In this regard, an outstanding paradigm shift is driven by the advancement of Virtual Reality, which can take advantage of Serious Games, for helping individuals develop responsive behaviours in case of both slow and sudden disasters and, thus, boosting effective human-urban-building interaction within a wider process of safety and sustainability. To this end, the paper proposes a VR-SG training prototype for multi-hazard scenarios in urban open spaces. The prototype integrates results from phenomenological and behavioural analyses and is applied to representative typologies of the built environment. The prototype is demonstrated for heat wave protection and earthquake response through the design and implementation of its functional features – virtual environment, interaction mode, learning outcomes and storyline – and its informative contents, including simulation-based data on surface temperatures, extent of falling debris and crowd motion. The final goal is to validate a reliable and flexible tool in view of wide replication in urban contexts for both instructing on critical situations and communicatingmitigation strategies.
【摘要翻译】
通过适当的教育和传播战略，提高城市风险准备和意识，以及提高城市韧性方面的关键作用已被逐步认可，而这些战略应依靠创新和普遍的工具。在这方面，虚拟现实的发展推动了一个突出的范式转变，虚拟现实可以利用严肃游戏，帮助个人在发生缓慢和突然的灾难时进行反应行为，从而在更广泛的安全和可持续性过程中促进有效的人与城市建设的互动。为此，本文提出了一种用于城市开放空间多灾种场景的VR-SG训练原型。该原型整合了现象学和行为学分析的结果，并应用于建筑环境的代表性类型。该原型通过设计和实现其功能特征（虚拟环境、交互模式、学习成果和故事情节）及其信息内容（包括基于模拟的地表温度、落屑范围和人群运动的数据）来演示热浪保护和地震响应。最终目标是验证一种可靠和灵活的工具，以便在城市环境中广泛复制，用于指导危急情况和传达缓解战略。
【doi】
10.1016/j.scs.2023.104847
【作者信息】
无
论文15
Operational analysis and optimization of a water-based municipal solid waste management system with hybrid simulation modeling
基于混合仿真建模的水基城市固体废物管理系统的运行分析和优化
【摘要】
Waste generation is continuously increasing, like the global population and urbanization. This is accompanied by emissions and externalities, making municipal solid waste management (MSWM) a central subject for sustainable urban development. Therefore, a novel logistics concept of a water-based MSWM system was piloted in Stockholm (Sweden). A recycling barge was used to collect waste, reuse items, and provide reuse items for citizens to take home. A hybrid simulation model based on real-world data from the pilot study is developed in this paper. This combined agent-based and discrete-event model simulates the customers’ and workers’ behavior, including loading operations on the recycling barge, filling a methodological gap in MSWM. The research focuses on elaborating the system boundaries and optimizing the operational processes to evaluate the sustainability and accessibility of the system. The computations with 58 different experimental settings identify capacity limits and determine optimal operational conditions. Further, modifying processes could reduce the number of transports up to 55%. Another added value of the model is the extension beyond the pilot study and its flexible application to procedural changes. Based on the presented findings, implementation in other cities can be enforced and thus increase recycling rates, reduce land use, and save transport kilometers
【摘要翻译】
如同全球人口和城市化一样，城市废物产生量不断增加。随之而来的是其排放问题以及带来的外部性问题，这也使得城市固体废物管理（MSWM）成为可持续城市发展的核心主题。因此，在斯德哥尔摩（瑞典）试行了一种新型物流概念，即水基MSWM系统。一艘回收驳船被用来收集废物、重复使用物品，并提供再利用物品供市民带回家。本文开发了一种基于试点研究真实世界数据的混合仿真模型。这种基于代理和离散事件的组合模型模拟了客户和工人的行为，包括在回收驳船上的装载操作，填补了 MSWM 中的方法空白。该研究的重点是阐述系统边界并优化操作流程，以评估系统的可持续性和可访问性。使用58种不同的实验设置进行计算，确定容量极限并确定最佳操作条件。此外，修改流程可以将传输次数减少多达 55%。该模式的另一个附加作用是超越试点研究，并灵活地应用于程序变化。根据所提出的研究结果，可以在其他城市实施，从而提高回收率，减少土地使用并节省运输公里数。
【doi】
10.1016/j.scs.2023.104890
【作者信息】
无
论文16
A Socio-Spatial Approach to Define Priority Areas for Bicycle Infrastructure Using Covid-19 Data
基于新冠疫情数据确定自行车基础设施优先区域的社会空间方法
【摘要】
The existing distribution of bicycle infrastructure is often quite unequal and concentrated in socially advantaged areas. One key issue is there remain less explored variables and models that could greatly assist in the equitable planning of new or improved bicycle infrastructure. To improve the allocation of cyclist-serving infrastructure, analysis should be: a) attuned to the needs of diverse users, b) temporally robust, and c) able to capture changes in use. I put forward an approach for siting bicycle infrastructure that utilizes administrative data, the inferential opportunity afforded by the interruption of the Covid-19 pandemic, and raster-based methods to describe a) where cycling behavior changed most during the pandemic compared to pre-pandemic conditions, b) where positive changes in cycling behavior during the pandemic concentrate across space and key population groups, and c) where such concentrations, in tandem with social and infrastructure variables, suggest areas for cyclist-serving infrastructure expansion under an equity-oriented paradigm. I find that positive changes in bikeshare trip durations during the pandemic can associate with low socioeconomic status (SES) areas of Philadelphia, and that many streets in these underserved areas may benefit from new or improved bicycle infrastructure.
【摘要翻译】
现有的自行车基础设施分布往往相当不平等，都集中在社会优势地区。而其中的关键是，可以极大地帮助公平规划新的或改进的自行车基础设施的探索的变量和模型仍然较少。为了改善自行车服务基础设施的分配，分析如下：a）适应不同用户的需求，b）时间稳定，c）能够捕捉使用的变化。本文提出了一种自行车基础设施选址的方法，该方法利用管理数据、新冠疫情大流行中断提供的推理机会以及基于光栅的方法来描述 a）与大流行前相比，大流行期间骑自行车行为的变化最大，b）大流行期间自行车行为的积极变化集中在空间和关键人群中，以及c）这种集中程度与社会和基础设施变量相结合，表明在以公平为导向的范式下，自行车服务基础设施的扩展领域。本研究发现大流行期间共享单车旅行时间的积极变化可能与费城的社会经济地位低 （SES） 地区有关，这些服务不足地区的许多街道可能会受益于新的或改进的自行车基础设施。
【doi】
10.1016/j.scs.2023.104883
【作者信息】
无
论文17
Intelligent anti-infection ventilation strategy based on computer audition: Towards healthy built environment and low carbon emission
基于计算机听觉的智能抗感染通风策略：迈向健康建筑环境和低碳排放
【摘要】
Airborne infectious diseases have had a significant negative influence on human health, well-being and socioeconomic development. Anti-infection ventilation is a critical tool for effectively preventing the spread of airborne infectious diseases. Infectious particulate matter concentration is the most direct factor affecting the effectiveness of anti-infection ventilation. Generally coughing and sneezing are typical transient behaviors of occupants that release large amounts of infectious particulate matter. However, there is a lack of unsteady-state models for predicting the effect of sneezing and coughing on infection risk, and have not been considered in conjunction with intelligent anti-infection ventilation. In this study, computer audition was coupled with a behavior-based unsteady-state prediction model to propose an intelligent anti-infection ventilation strategy. According to the results, increasing the ventilation rate within 10min after coughing or sneezing, was the most effective in minimizing the infection transmission. Taking a real case as an example, when coughing and sneezing occurred and after 1 h of exposure, the proposed strategy could control the infection risk to 6.9% with an energy saving rate of 53.47% (0.24 kg of carbon emission reduction per hour). In summary, this study can help balance the relationship between energy consumption and infection risk and provide some references for comprehensive intelligent control of anti-infection ventilation.
【摘要翻译】
通过空气传播的传染病对人类健康、福祉和社会经济发展产生了重大的负面影响。抗感染通气是有效防止空气传播传染病传播的重要工具。传染性颗粒物浓度是影响抗感染通气效果的最直接因素。通常，咳嗽和打喷嚏是居住者释放大量传染性颗粒物的典型短暂行为。然而，现实中缺乏用于预测打喷嚏和咳嗽对感染风险影响的非稳态模型，并且尚未与智能抗感染通气结合使用。本研究将计算机听觉与基于行为的非稳态预测模型相结合，提出了一种智能抗感染通气策略。根据结果显示，在咳嗽或打喷嚏后10分钟内增加通气率是减少感染传播的最有效方法。以真实案例为例，当发生咳嗽和打喷嚏时，暴露1 h后，所提策略可将感染风险控制在6.9%，节能率为53.47%（每小时减少0.24 kg碳排放）。综上所述，本研究有助于平衡能耗与感染风险的关系，为抗感染通气综合智能控制提供一定的参考。
【doi】
10.1016/j.scs.2023.104888
【作者信息】
HaoruiWang , 东南大学建筑学院
JunqiWang , 东南大学建筑学院
ZhuangboFeng, 东南大学建筑学院
FariborzHaghighat, 康考迪亚大学建筑、土木与环境工程系能源与环境组
Shi-JieCao, 东南大学建筑学院
论文18
A hybrid machine learning approach for the load prediction in the sustainable transition of district heating networks
一种混合机器学习方法，用于区域供热网络可持续转型中的负荷预测
【摘要】
Current district heating networks are undergoing a sustainable transition towards the 4thand 5th generation of district heating networks, characterized by the integration of different types of renewable energy sources (RES) and low operational temperatures, i.e., 55 °C or lower. Due to the lower temperature difference between supply and return, it is necessary to develop novel methods to understand the loads accurately and provide operation scenarios to anticipate demand peaks and increase flexibility in the energy network, both for long- and short-term horizons. In this study, a hybrid machine-learning (ML) method is developed, combining a clustering pre-processing step with a multi-input artificial neural network (ANN) model to predict heat loads in buildings cluster-wise. Specifically, the impact of time-series data clustering, as a pre-processing step, on the performance of ML models was investigated. It was found that data clustering contributes effectively to the reduction of data training costs by limiting the training processes to representative clusters only instead of all datasets. Additionally, low-quality data, including outliers and large measurement gaps, are excluded from the training to enhance the overall prediction performance of the models.
【摘要翻译】
当前的区域供热网络正在向第四和第五代区域供热网络，其特点是整合不同类型的可再生能源（RES）和低运行温度，即55°C或更低。由于供应和返回之间的温差较小，因此有必要开发新的方法来准确了解负载并提供操作场景，以预测需求峰值并提高能源网络的灵活性，无论是长期还是短期。本研究开发了一种混合机器学习（ML）方法，将聚类预处理步骤与多输入人工神经网络（ANN）模型相结合，以聚类预测建筑物中的热负荷。具体而言，研究了作为预处理步骤的时间序列数据聚类对 ML 模型性能的影响。研究发现，数据聚类通过将训练过程限制在仅具有代表性的集群而非所有数据集，能够有效地有助于降低数据训练成本。此外，低质量数据（包括异常值和较大的测量差距）被排除在训练之外，以提高模型的整体预测性能。
【doi】
10.1016/j.scs.2023.104892
【作者信息】
MustaphaHabib
Thomas OhlsonTimoudas
YiyuDing , 挪威科技大学（NTNU）能源与过程工程系
NatasaNord
ShuqinChen , 浙江大学建筑工程学院
QianWang,KTH 皇家理工学院土木与建筑工程系
论文19
Characterizing the indicator-based, day-and-night, and climate-based variations in response of surface urban heat island during heat wave across global 561 cities
在全球561个城市热浪期间基于指标、昼夜和气候变化的地表城市热岛响应
【摘要】
Increasing surface urban heat island (SUHI) has been reported to be closely associated with a large number of environmental issues. The response of SUHI during heat wave was important for further mitigation proposal. However, it remained unknown whether the response of SUHI during heat wave varies with different SUHI indicators (intensity, frequency and maximum duration), day-and-night contrast, and climate zones, and how to characterize and explain these response variations. Therefore, this paper quantified and explained for these variations in response of SUHI during heat wave across global 561 cities. There were three major findings. (1) The average percentage of response in intensity, frequency and maximum duration at daytime was -20%, -12% and -47%, while it was 10%, 11% and -10% at nighttime. During heat wave, daytime SUHI decreased in the equatorial and arid climates, while nighttime SUHI increased. (2) The attenuated daytime SUHI during heat wave in the equatorial and arid climates resulted from a decrease in latent heat flux and vegetation cooling effect. (3) Increased solar radiation during heat wave contributed to intensified nighttime SUHI, of which energy sources were determined on surface solar absorption. Additionally, differences in evaporation, vegetation, and albedo during heat wave were discussed.
【摘要翻译】
据报道，日益增加的地表城市热岛（SUHI）与大量环境问题密切相关。SUHI在热浪中的响应对进一步的缓解建议具有重要意义。然而，目前尚不清楚热浪期间SUHI的响应是否随不同的SUHI指标（强度，频率和最大持续时间），昼夜对比度和气候区而变化，以及如何表征和解释这些响应变化。因此，本文量化并解释了SUHI在全球561个城市热浪期间响应的这些变化。有三个主要发现。（1）白天反应强度、频率和最大持续时间的平均百分比分别为-20%、-12%和-47%，夜间分别为10%、11%和-10%。在热浪期间，赤道和干旱气候的白天SUHI减少，而夜间SUHI增加。（2）赤道和干旱气候热浪期间日间SUHI减弱是由于潜热通量和植被降温效应的降低所致。（3）热浪时太阳辐射的增加导致夜间SUHI增强，其中能量来源由表面太阳吸收确定。此外，本文还讨论了热浪期间蒸发量、植被和反照率的差异。
【doi】
10.1016/j.scs.2023.104877
【作者信息】
KangningLi , 中国矿业大学（北京）地球科学与测绘工程学院
YunhaoChen ,北京师范大学地理科学学院，遥感科学国家重点实验室
论文20
Impact of urban underground sewage treatment plants on surrounding housing prices: Case study of Beijing, China
城市地下污水处理厂对周边房价的影响——以北京为例
【摘要】
Currently, the enhancement of the surrounding house prices and land value by underground construction of urban sewage treatment plants (USTP) is mainly limited to the qualitative level, lacking quantitative evaluation methods. Analysing the impacts of USTP on the surrounding housing prices, an above-ground sewage treatment plant (ASTP) and a USTP in Beijing are considered research objects, with the housing price data collected and processed utilising geographic information and big data technology. Using the difference-in-difference (DID) model, the impact of urban sewage treatment plants (STP) on the surrounding housing prices is quantitatively analysed. Analysing the differences in house prices, growth volume and growth rate before and after the underground construction of urban STPs makes it clear that the USTP has a positive promoting effect on the surrounding house prices within 0–1km; however, ASTP negatively inhibits house prices of the same size. Given the ASTP inhibition, analysis of reconstruction in the underground mode on the surrounding housing prices and the value of the released land resources makes it clear that its economic value is much greater than the investment in itself and the operating costs. In addition, it was verified that the underground reconstruction of ASTPs in large cities could significantly improve the economic value of the surrounding areas.
【摘要翻译】
目前，城市污水处理厂地下建设对周边房价和土地价值的提升主要局限于定性层面，缺乏定量评价方法。为分析USTP对周边房价的影响，本文将北京的地上污水处理厂（ASTP）和USTP作为研究对象，利用地理信息和大数据技术收集和处理房价数据。利用差分（DID）模型定量分析了城市污水处理厂（STP）对周边房价的影响。分析城市STP地下建设前后房价、增长量和增长率的差异，可以清楚地看出，USTP对0-1公里以内的周边房价具有积极的促进作用；然而，ASTP对相同规模的房价产生了负面影响。鉴于ASTP抑制，对地下模式改造对周边房价和释放土地资源价值的分析表明，其经济价值远大于对自身的投资和运营成本。此外，本文还验证了大城市ASTP的地下重建可以显著提高周边地区的经济价值。
【doi】
10.1016/j.scs.2023.104899
【作者信息】
Liu Yang , 中国人民解放军陆军工程大学
Zhang Ping , 中国人民解放军陆军工程大学
Chen Zhilong , 中国人民解放军陆军工程大学
Zhao Pengfei ,北京建筑大学土木与交通工程学院
论文21
Urban Digital Twin Challenges: A Systematic Review and Perspectives for Sustainable Smart Cities
城市数字孪生挑战：可持续智慧城市的系统回顾与展望
【摘要】
Recent scientific and technological advancements have transformed the knowledge frontiers, giving rise to the next wave of disruptivetechnologies with deep impacts on urban society. An Urban Digital Twin (UDT) is a technology with great potential to transform the management and planning of the infrastructures and systems of sustainable smart cities towards environmental sustainability. However, despite the recent increase of research on UDTs due to its widespread diffusion much more recently, there is a lack of studies examining the existing bottlenecks to its implementation. To fill this gap, this study provides a systematic literature review on the key challenges and open issues pertaining to the implementation of an UDT. Results indicate 8 important categories of challenges related to (1) interoperability and semantics; (2) infrastructure, including storage, computation, network; (3) data acquisition and actuation; (4) data quality and harmonization; (5) modeling, simulation and decision-support; (6) data visualization and information display; (7) human and capital resources; and finally (8) governance, organizational and social issues. All topics are significantly raised in the literature, with most emphasis on issues pertaining to data and model semantics, missing data, data quality and modeling. The findings serve to inform practitioners about the bottlenecks delaying the implementation of UDTs.
【摘要翻译】
最近的科学和技术的进步改变了知识前沿，催生了下一波对城市社会产生深远影响的颠覆性技术。城市数字孪生（UDT）是一项具有巨大潜力的技术，可以将可持续智慧城市的基础设施和系统的管理和规划转变为环境可持续性。然而，尽管由于UDTs最近广泛传播，最近对UDT的研究有所增加，但缺乏相关研究来审查其实施的现有瓶颈。为了填补这一空白，本研究对与UDT实施有关的主要挑战和尚未解决的问题进行了系统的文献综述。结果表明，有八个重要类别的挑战相关（8）互操作性和语义;（2）基础设施，包括存储、计算、网络;（3）数据采集和致动;（4）数据质量和协调;（5）建模、模拟和决策支持;（6）数据可视化和信息展示;（7）人力和资本资源;最后（8）治理、组织和社会问题。所有主题在文献中都有明显提及，其中最强调的是与数据和模型语义、缺失数据、数据质量和建模有关的问题。调查结果有助于从业人员了解延迟实施UDT的瓶颈。
【doi】
10.1016/j.scs.2023.104862
【作者信息】
无
论文22
Disentangling relations between dynamic urban structure and its efficiency in 287 cities across China
揭开中国287个城市的动态城市结构与其效率的关系
【摘要】
Conventionally urban structures are mainly inferred from the spatial arranges of related urban elements such as land use and population density. China's unprecedented urbanization process has significantly changed urban spatial structure and it is not clear how urban structure impacts the sustainability and livability of cities across a large geographic space. Furthermore, urban structure always shows dynamical variations during the day and over the night, which are a challenge to be captured by the conventional research methods and data. In this paper, we evaluated and compared the characteristics of the urban structure of the 287 cities in China by examining the dynamic changes of urbanhuman activities distribution inferred from location requests collected by Tencent's platform. We developed two new indexes, the Dispersion Variation Index (DVI) and Spatial Dispersion Variation Index (SDVI), using the Lorenz curve, Gini coefficient, and adjusted Ripley's K function to describe the overall agglomeration intensity and the temporal variability of human activities. We also applied the urban scaling law to create two further indexes, the Scale-Adjusted Metropolitan Indicator DVI (SAMI_DVI) and the Scale-Adjusted Metropolitan Indicator SDVI (SAMI_SDVI), which enable us to evaluate the efficiency of urban structures. Our results show that the daily fluctuations of the urban structure are related to urban population, and also impacted by urban planning, topography, and other factors. The 1st-tier cities have the highest DVI (median: 0.020) and SDVI (0.052) values, which suggest the most volatile urban structure during the day. The 2nd-tier cities have the lowest urban structure efficiency, as suggested by higher SAMI_DVI (0.17) and SAMI_SDVI (0.28) values. Also, 69.2% and 76.9% of the 2nd-tier cities have DVI and SDVI values over the predicted values based on their population sizes. We also demonstrate that cities with high unstable structural characteristics tend to exhibit lower commuting efficiency and higher carbon emission intensity. Our framework outperforms previous metrics, is highly scalable, and can be implemented at little cost, allowing studies to be conducted even in small and medium-sized cities with little traditional data.
【摘要翻译】
传统上的城市结构主要从土地利用和人口密度等相关城市要素的空间布局中推断出来。中国史无前例的城市化进程已经显著改变了城市空间结构，目前尚不清楚城市结构如何影响城市在大地理空间中的可持续性和宜居性。此外，城市结构在白天和夜间总是表现出动态变化，这是传统研究方法和数据难以捕捉的挑战。本文通过考察腾讯平台收集的选址，推断的城市人类活动分布动态变化，评估并比较了中国287个城市的城市结构特征。我们开发了两个新指标，色散变异指数（DVI）和空间色散变异指数（SDVI），使用洛伦兹曲线，基尼系数和调整的Ripley's K函数来描述人类活动的整体集聚强度和时间变异性。我们还应用城市比例定律创建了另外两个指数，即规模调整大都市指标DVI（SAMI_DVI）和规模调整大都市指标SDVI（SAMI_SDVI），这使我们能够评估城市结构的效率。结果表明，城市结构的日常波动与城市人口有关，也受城市规划、地形等因素的影响。一线城市的DVI（中位数：0.020）和SDVI（0.052）值最高，这表明白天城市结构最不稳定。二线城市的城市结构效率最低，SAMI_DVI（0.17）和SAMI_SDVI（0.28）值较高。此外，69.2%和76.9%的二线城市的DVI和SDVI值超过基于其人口规模的预测值。我们还发现，具有高度不稳定结构特征的城市往往表现出较低的通勤效率和较高的碳排放强度。本次的研究框架优于以前的指标，具有高度可扩展性，并且可以以很少的成本实施，即使在传统数据很少的中小城市也可以进行研究。
【doi】
10.1016/j.scs.2023.104879
【作者信息】
NanWang, 中国科学院地理科学与资源研究所
YunyanDu , 中国科学院地理科学与资源研究所
FuyuanLiang, 西伊利诺伊大学地球、大气和地理信息科学系
JiaweiYi, 中国科学院地理科学与资源研究所
JialeQian, 中国科学院地理科学与资源研究所
WennaTu, 中国科学院地理科学与资源研究所
ShengHuang, 中国科学院地理科学与资源研究所
PeixianLuo, 中国科学院地理科学与资源研究所
论文23
Evaluation of effectiveness and resources consumption of water mist spray systems in Mediterranean areas by predictions based on LSTM Recurrent Neural Networks
基于LSTM循环神经网络的预测评估地中海地区细水雾喷雾系统的有效性和资源消耗
【摘要】
To counter the increasing urban overheating, climate adaptation solutions are proposed. Among them, water mist spray recently acquired particular attention, due to its efficiency, cost-effectiveness, and versatility. However, spray devices require a large amount of water and energy to cool even limited areas, thus their environmental costs/benefits ratio should be carefully evaluated. This study analyses cooling benefits and resources consumption of mist devices in 11 cities within 3 climate contexts, through RecurrentNeural Networks (RNNs) trained with experimental data. RNNs predict the expected time series of thermal benefits and of energy and water consumptions, also considering different design solutions of devices. Results show that when sun/wind shielding is used in the sprayed area, or the height of nozzles is limited, higher cooling results are obtained. However, energy and water consumption are extremely high if misting systems are perennially active during the day. Considering all simulated conditions, the predicted average daily energy to obtain a unitary variation of the Mediterranean Outdoor Comfort Index is 4,17 Wh/m2, while the corresponding average daily volume of water is 0,56 l*h/m2. These results confirm the need for applications managed by control logics based on the acquisition of real-time climatic data to reduce the environmental loads.
【摘要翻译】
为了应对日益严重的城市过热，提出了气候适应解决方案。其中，细水雾喷雾因其效率、成本效益和多功能性而最近受到特别关注。然而，喷雾装置需要大量的水和能量来冷却有限的区域，因此应仔细评估其环境成本/效益比。本研究通过用实验数据训练的递归神经网络 （RNN） 分析了3种气候背景下11个城市雾装置的冷却效益和资源消耗。RNN预测热效益以及能源和水消耗的预期时间序列，还考虑了器件的不同设计解决方案。结果表明，当在喷涂区域使用遮阳/遮风或喷嘴高度有限时，可获得更高的冷却效果；然而，如果雾化系统在白天常年活跃，则能源和水的消耗非常高。考虑到所有模拟条件，获得地中海户外舒适指数单一变化的预测平均每日能量为 4,17 Wh/m2，而相应的日平均水量为 0,56 l*h/m2。这些结果证实了需要由基于实时气候数据的控制逻辑管理的应用程序，以减少环境负荷。
【doi】
10.1016/j.scs.2023.104894
【作者信息】
无
论文24
Changes in energy use profiles derived from electricity smart meter readings of residential buildings in Milan before, during and after the COVID-19 main lockdown
在新冠疫情主要封锁之前，期间和之后，米兰住宅建筑的电力智能电表读数得出的能源使用概况的变化
【摘要】
The COVID-19 pandemic had a profound impact on society, causing changes in various aspects of people's lives, including their energy use habits. This has prompted a need for checking and updating standard energy use profiles, particularly for residential electricity use. To address this topic, a study was conducted on 24 multifamily buildings in Milan, using clustering to extract patterns from a database of quarter-hourly electricity use data from 2019 to 2020. This study found an increase in electricity usage during the COVID-19 lockdown period for residential buildings, likely associated with the imposed restrictions. The research also highlighted a shift in energy usage from the morning peak to the central hours of the day during the working days of the lockdown period, while a gradual increase in electricity usage throughout the day and no morning peak was observed during the Autumn (post-COVID) period. The findings can assist regulators and businesses in weighing the benefits and drawbacks of remote working and provide modellers with a complete set of daily load profiles for an Italian residential case study.
【摘要翻译】
COVID-19大流行对社会产生了深远的影响，导致人们生活的各个方面发生了变化，包括他们的能源使用习惯。这促使了能源使用概况的检查和标准更新，特别是住宅用电。为了解决这个问题，对米兰的 24 座多户住宅建筑进行了一项研究，使用聚类从2019年至2020年的四分之一小时用电量数据数据库中提取模式。这项研究发现，在 新冠疫情封锁期间，住宅建筑的用电量增加，可能与所实施的限制有关。该研究还强调，在封锁期间的工作日，能源使用量从早高峰转移到一天的中心时段，而全天用电量逐渐增加，秋季（后疫情期间）没有观察到早高峰。这些发现可以帮助监管机构和企业权衡远程工作的利弊，并为建模者提供一套完整的日常负荷曲线，以用于意大利住宅案例研究。
【doi】
10.1016/j.scs.2023.104876
【作者信息】
无
论文25
Relating social, ecological, and technological vulnerability to future flood exposure at two spatial scales in four U.S. cities
社会、生态和技术脆弱性与美国四个城市在两个空间尺度上的未来洪水出现的联系
【摘要】
Flooding occurs at different scales and unevenly affects urban populations based on the broader social, ecological, and technological system (SETS) characteristics particular to cities. As hydrological models improve in spatial scale and account for more mechanisms of flooding, there is a continuous need to examine the relationships between flood exposure and SETS drivers of flood vulnerability. In this study, we related fine-scale measures of future flood exposure—the First Street Foundation's Flood Factor and estimated change in chance of extreme flood exposure—to SETS indicators like building age, poverty, and historical redlining, at the parcel and census block group (CBG) scales in Portland, OR, Phoenix, AZ, Baltimore, MD, and Atlanta, GA. We used standard regression models and accounted for spatial bias in relationships. The results show that flood exposure was more often correlated with SETS variables at the parcel scale than at the CBG scale, indicating scale dependence. However, these relationships were often inconsistent among cities, indicating place-dependence. We found that marginalized populations were significantly more exposed to future flooding at the CBG scale. Combining newly-available, high-resolution future flood risk estimates with SETS data available at multiple scales offers cities a new set of tools to assess the exposure and multi-dimensional vulnerability of populations. These tools will better equip city managers to proactively plan and implement equitable interventions to meet evolving hazard exposure.
【摘要翻译】
洪水的发生有着不同的规模，并且根据城市特有的广泛的社会，生态和技术系统（SETS）特征对城市人口的影响也各不相同。随着水文模型在空间尺度上的改善并解释更多的洪水机制，需要不断研究洪水暴露与洪水脆弱性的SETS驱动因素之间的关系。在这项研究中，我们将未来洪水暴露的精细尺度测量（第一街基金会的洪水因子和极端洪水暴露机会的估计变化）与 SETS 指标（如建筑年龄、贫困和历史红线）相关联，在俄勒冈州波特兰、亚利桑那州凤凰城、马里兰州巴尔的摩和佐治亚州亚特兰大的宗地和人口普查区块组 （CBG） 尺度上。我们使用标准回归模型并考虑了关系中的空间偏差。结果表明，在宗地尺度上，洪水暴露与SETS变量的相关性高于CBG尺度，表明了尺度依赖性。然而，这些关系在城市之间往往不一致，表明了对地点的依赖。我们发现，边缘化人群在未来CBG规模上更容易受到洪水的影响。将新获得的高分辨率未来洪水风险估计与多尺度可用的SETS数据相结合，为城市提供了一套新的工具来评估人口的暴露和多维脆弱性。这些工具将更好地使城市管理者能够主动规划和实施公平的干预措施，以满足不断变化的危害的出现。
【doi】
10.1016/j.scs.2023.104880
【作者信息】
无
论文26
The price of quietness: How a pandemic affects city dwellers’ response to road traffic noise
安静的代价：大流行病如何影响城市居民对道路交通噪音的反应
【摘要】
Using the outbreak of COVID-19 in Singapore as a quasi-natural experiment, we investigate tenants’ changing responses to road traffic noise in the rental housing market, using 46,980 transaction records between 2006 and 2022. Our difference-in-differences estimates show that road traffic noise decreases housing rents by 3.8% immediately after the pandemic outbreak and further declines by 12.7% in the subsequent year—equivalent to 186.7 US dollars per month. The results are robust to parallel trend analysis, permutation placebo tests, and tests using alternative distance thresholds or distance to the nearest main road. Then, we adopt a machine learning text analysis of 10,425 rental housing advertisements, showing that tenants’ preference for quietness increases by approximately 10% from 2019 into 2020. The new work-from-home business model and rising traffic from delivery services can explain for this pattern. To the best of our knowledge, this is the first paper using a large volume of transaction records to quantify city dwellers’willingness to pay for quietness in the COVID-19 context. Our results have policy implications for other nations and post-pandemic era on the interaction among urban planning, transport networks, and human settlements, and shed light on the pathway to achieve sustainable development goals.
【摘要翻译】
以新加坡爆发的新冠疫情作为准自然实验，我们使用 2006年至2022年间的 46980 条交易记录，调查租户对租赁住房市场道路交通噪音的变化反应。我们的差异估计显示，道路交通噪音在大流行爆发后立即使房屋租金下降 3.8%，并在随后一年进一步下降 12.7%，相当于每月186.7美元。结果对于并行趋势分析、排列安慰剂检验以及使用替代距离阈值或到最近主要道路的距离的检验具有鲁棒性。然后，我们对 10,425 个出租房屋广告进行了机器学习文本分析，显示从2019年到2020年，租户对安静的偏好增加了约10%。新的居家办公的商业模式和来自交付服务的流量上升则恰好可以解释这种模式的出现。据我们所知，这是第一篇使用大量交易记录来量化城市居民在新冠疫情背景下为安静付费的意愿的论文。我们的研究结果对其他国家和后疫情时代对城市规划、交通网络和人类住区之间的相互作用具有政策意义，并阐明了实现可持续发展目标的途径。
【doi】
10.1016/j.scs.2023.104882
【作者信息】
Yao-peiWang, 浙江工业大学中国住房与房地产研究院
YongTu, 新加坡国立大学商学院房地产系
YiFan，新加坡国立大学商学院房地产系
论文27
Urban river restoration in Hong Kong: Assessment, impact, and improvement strategies
香港城市河道修复：评估、影响和改善策略
【摘要】
River restoration or improvement is widely practiced in cities around the world to promote sustainable urban development. However, post-project evaluation is not commonly performed, and even less evaluated is the social impacts of river restoration. Based on three recently restored river channels in Hong Kong, this study evaluated water quality, biodiversity, and societal perceptions of such projects. Focus was placed on perceptions, assessments, and improvement suggestions from 295 surveyed and interviewed respondents. Results show that the effects of river restoration on water quality were mixed—depending on restoration techniques and site conditions. Restored river sections generally had higher biodiversity as compared to unrestored ones. The restored river sections positively influenced the respondents’ visiting behaviors. The respondents at low-density sites generally reported more positive perceptions and higher ratings on the restoration projects than those at the population-density site. Data analysis shows that respondents’ emotional quality was significantly and positively related to biodiversity, visual attractiveness, air freshness, and auditory environment of the sites. The respondents also provided valuable recommendations on the importance of factors to be considered in the planning and design of river restoration, desired facilities, and decision process. The findings and recommendations are expected to help improve future river restoration in compact cities.
【摘要翻译】
为促进可持续的城市发展，世界各地城市常常进行河流的修复与改善。然而，改善或修复项目后的评估并不常见，河流恢复的社会影响评估则更少。本研究以香港最近修复的三条河道为基础，评估了水质、生物多样性和社会对此类项目的看法。其中的重点是来自295名受访者的看法，评估和改进建议。结果表明，河流恢复对水质的影响是混合的，这取决于恢复技术和场地条件。与未恢复的河段相比，恢复的河段通常具有更高的生物多样性，同时对受访者的参观行为也产生了积极影响。与人口密集地点的受访者相比，低密度地点的受访者普遍对修复项目有更积极的看法和更高的评分。数据分析表明，受访者的情感品质与生物多样性、视觉吸引力、空气新鲜度和听觉环境呈显著正相关。受访者还就河流修复规划和设计、所需设施和决策过程中应考虑的因素的重要性提出了宝贵的建议。这些发现和建议预计将有助于改善紧凑型城市的未来河流恢复。
【doi】
10.1016/j.scs.2023.104885
【作者信息】
YangChen, 香港理工大学土木及环境工程系
YuhongWang, 香港理工大学土木及环境工程系教授
Charissa Chi YanLeung, 香港理工大学土木及环境工程学系研究助理
Park JiHyeon, 香港大学生物科学学院研究助理
XiaoliDing,香港理工大学土地测量及地理信息学系教授
论文28
Multi-hazard based land use planning in isolated area; learning from the experience of Pul-e-Khumri City, Afghanistan
偏僻地区基于多灾种的土地利用规划;阿富汗普勒胡姆里市的经验研究
【摘要】
Afghanistan is a hazard-prone country where conflicts and security concerns have restricted researchers' access to resilience-related data and information. The objective of this study is to establish a practical framework for Risk-SensitiveLand Use Planning (RSLUP), referred to as the Multi-Hazard based Land Use Plan (MHLUP), in the city of Pul-e-Khumeri where data and information are difficult to access due to security concerns. We implemented a four-step methodology that commenced with the with updating and converting the existing city land use map into a zoning framework. Subsequently, the multi-hazard intensity map was created by employing the weighted sum function in ArcGIS Map 10.8, utilizing the pairwise comparison method. The evaluation of the exposure level was then conducted by overlaying the single hazards and multi-hazard intensity maps onto the existing zoning map. Finally, based on a distinct decision matrix the existing zoning map was modified and the final output was generated. The findings indicate that the utilization of this approach significantly enhances the resilience of Pul-e-Khumri city. The novelty of this approach lies in its consideration of multi-hazard intensity, in addition to single hazard intensity, and its inclusion of exposure analysis for both population and critical facilities. The proposed approach would also facilitate resilience research in the global south, particularly in isolated areas, by leveraging existing studies and open-source data.
【摘要翻译】
阿富汗是一个灾害多发的国家，冲突和安全问题限制了研究人员获取与复原力相关的数据和信息。本研究的目的是在Pul-e-Khumeri市建立一个风险敏感型土地利用规划（RSLUP）的实用框架，称为基于多种危害的土地利用计划（MHLUP），由于安全问题，数据和信息难以获取。我们实施了四步法，首先是将现有的城市土地利用地图更新并转换为分区框架。随后，利用 ArcGIS Map 10.8 中的加权和函数，采用成对比较方法创建了多灾种强度地图。然后将单一危害和多危害强度图叠加到现有分区图上来评估暴露水平。最后，基于不同的决策矩阵修改现有分区图并生成最终输出。研究结果表明，这种方法的使用显著增强了Pul-e-Khumri市的复原力。这种方法的新颖之处在于，除了单一危害强度外，它还考虑了多种危害强度，并包括了人口和关键设施的暴露分析。拟议的方法还将通过利用现有研究和开源数据，促进全球南方的复原力研究，特别是在偏远地区。
【doi】
10.1016/j.scs.2023.104873
【作者信息】
无
论文29
Optimal stochastic-probability management of resources and energy storage in energy hub considering demand response programs and uncertainties
考虑需求响应计划和不确定性的能源枢纽资源和储能最优随机概率管理
【摘要】
Because the probability decision-making variables in the energy hub (EH) cause technical, economic and environmental challenges, this study presents a multi-objective planning approach based on stochastic-probability optimization algorithms. Uncertainties include the price of electricity carriers, renewable power generation, and electrical loads uncertainty (specifically electric vehicles (EVs)) based on probability distribution functions. The multi-objective optimization function includes minimizing the operation cost, minimizing the greenhouse gas emissions cost, and minimizing the EH risk cost. The stochastic-probability optimization method is programmed in both primary and secondary levels. At the primary level, the optimal operation of the EH based on the Monte Carlo method and K-means clustering is considered. To change the consumption pattern and provide a suitable platform for customer participation in optimal energy distribution, demand response (DR) programs based on energy market interactions have been modeled. At the secondary level, the EV unit optimal operation based on the Alternating direction method of multipliers (ADMM) and considering their probabilistic behavior is presented. EH risk analysis has also been developed based on the conditional value at risk (CVaR) method. The results of this study show the effectiveness of the proposed method in different scenarios and a 15.1% reduction in the total operation cost.
【摘要翻译】
针对能源枢纽（EH）的概率决策变量对技术、经济和环境构成挑战，该文提出一种基于随机概率优化算法的多目标规划方法。不确定性包括基于概率分布函数的电力载体价格、可再生能源发电和电力负荷不确定性（特别是电动汽车 （EV））。多目标优化功能包括最小化运营成本、最小化温室气体排放成本和最小化EH风险成本。随机概率优化方法在初级和二级中都进行了编程。在初级层面，考虑了基于蒙特卡罗方法和K均值聚类的EH的最优操作。为了改变消费模式并为客户提供参与最佳能源分配的合适平台，已经对基于能源市场相互作用的需求响应（DR）计划进行了建模。在二级层面，提出了基于乘法交替方向法（ADMM）并考虑其概率行为的EV单元最优操作。还基于条件风险值（CVaR）方法开发了EH风险分析。结果表明，所提方法在不同场景下的有效性，总运行成本降低了15.1%。
【doi】
10.1016/j.scs.2023.104886
【作者信息】
无
论文30
A methodological approach to evaluate the passive cooling effect of Oasis palm groves
评估绿洲棕榈园被动冷却效果的理论方法
【摘要】
With climate change and the recurring heat waves inarid lands, human well-being and activities in oasis settlements can be critical subjects for the ongoing years. This paper introduces a methodological approach to investigate the potential passive cooling effect inside the oasis palm groves, their spatial characteristics, and microclimatic thresholds. Based on the Physiological Equivalent Temperature (PET) index, the paper evaluates oasis palm groves’ ability to ensure a neutral human outdoor thermal comfort zone. The research aims to determine guidance of an optimal and nearly optimal thermal comfort threshold based on a series of parametric scenarios of oasis configurations. The study provides a cross of 12 ideal oasis scenarios. The paper evaluates the oasis cooling effect and thermal comfort and recommends aligning urban planning with thermal thresholds. Results reveal that PET neutral zone can be assured into ranges of 29°C to 37°C, 19°C to 20°C, 55% to 58%, and 1m/s to 2m/s of mean radiant temperature, air temperature, relative humidity and air velocity, respectively. The results refer policymakers and urban planners to invest in the passive cooling effect of the oasis palm grove in future urban design strategies to maintain the maximum neutral comfort hours during heat waves.
【摘要翻译】
随着气候变化和干旱地区反复出现的热浪，人类福祉和绿洲定居点的活动可能是当前几年的关键主题。本文介绍了一种研究绿洲棕榈林内潜在被动降温效应、空间特征和小气候阈值的方法。基于生理等效温度（PET）指数，本文评估了绿洲棕榈树林确保中性人类户外热舒适区的能力。该研究旨在根据绿洲配置的一系列参数场景来确定最佳和接近最优热舒适阈值的指导。该研究提供了12个理想绿洲场景的交叉。本文评估了绿洲的冷却效果和热舒适度，并建议将城市规划与热阈值保持一致。结果表明，PET中性区在29°C至37°C、19°C至20°C、55%至58%和1m/s至2m/s的平均辐射温度、空气温度、相对湿度和风速范围内均能保证PET中性区。研究结果建议政策制定者和城市规划者在未来的城市设计策略中投资绿洲棕榈树林的被动冷却效果，以在热浪期间保持最长的中性舒适时间。
【doi】
10.1016/j.scs.2023.104887
【作者信息】