Sustainable Cities and Society最新文献_第9页

Bridging smart technologies and healthy cities: A scoping review using WHO's 6P framework 连接智能技术与健康城市：利用世界卫生组织的 6P 框架进行范围界定审查

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2024-10-11 DOI: 10.1016/j.scs.2024.105888

Hye Su Jeong , Haejoo Chung

Urbanization's public health challenges have led to smart city initiatives, but the integration of these technologies within the World Health Organization's (WHO) Healthy Cities framework remains underexplored. This study maps the smart technologies employed for urban health and examines their alignment with the six components of the WHO framework: People, Place, Participation, Prosperity, Peace, and Planet. A scoping review of literature published between 2000 and 2024 was performed by searching five databases. Studies were included if they described smart technologies used for urban health and were published in English and peer-reviewed journal articles or conference papers. An analysis of 41 studies revealed that sensors, web applications, and machine learning were the most used technologies. Place-related technologies were predominant, focusing on environmental monitoring and infrastructure management. While the other themes were well represented, there was a notable absence of People and Participation-related technologies. This study provides comprehensive mapping of smart technologies within the WHO's framework, contributing to the goal of sustainable and healthy cities. Findings highlight the significant gap in human-centric and participatory approaches, emphasizing the need for more inclusive and equitable cities. Future research and policy should prioritize integrating underrepresented themes to better align with the WHO's Healthy Cities vision.

城市化带来的公共卫生挑战催生了智慧城市倡议，但将这些技术纳入世界卫生组织（WHO）健康城市框架的研究仍显不足。本研究绘制了用于城市健康的智能技术地图，并研究了这些技术与世界卫生组织框架六个组成部分的一致性：人、地点、参与、繁荣、和平和地球。通过搜索五个数据库，对 2000 年至 2024 年间发表的文献进行了范围审查。如果研究描述了用于城市健康的智能技术，并以英文和同行评审期刊论文或会议论文的形式发表，则被纳入其中。对 41 项研究的分析表明，传感器、网络应用程序和机器学习是使用最多的技术。与地点相关的技术占主导地位，主要集中在环境监测和基础设施管理方面。虽然其他主题也得到了很好的体现，但与 "人 "和 "参与 "相关的技术却明显缺乏。这项研究提供了世界卫生组织框架内智能技术的全面图谱，有助于实现可持续健康城市的目标。研究结果凸显了在以人为本和参与式方法方面存在的巨大差距，强调了建设更具包容性和公平性城市的必要性。未来的研究和政策应优先考虑整合代表性不足的主题，以更好地与世卫组织的健康城市愿景保持一致。

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引用次数: 0

Circular economy strategies research for Beijing buildings in a low-carbon future 面向低碳未来的北京建筑的循环经济战略研究

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2024-10-11 DOI: 10.1016/j.scs.2024.105894

Zhongchun Yue, Tiejun Dai

The circular economy strategy can effectively reconcile the contradiction between human activities and the ecological environment through utilizing resources efficiently and circularly, thereby promoting global low-carbon sustainable development. However, it lacks application in urban buildings. This study constructs the four-layer framework based on the turnover dynamic stock model and carbon emissions method. Combined with 7 circular economy strategies and scenario analysis, this framework captures the production, demand, use, recycling and reuse of 13 major materials in 7 prototypes of 3 types for Beijing's buildings, and explores the potential of dematerialization and low-carbon development from 2022 to 2060. Results indicate that the floor area will continue to grow to 1749.00 million m² by 2060, material requirements will increase by 49.64 Mt annually, and CO₂ emissions will increase by 8.26 Mt annually under current policies. Circular economy strategies can reduce cumulative material requirements by 20.40–762.09 Mt and CO₂ emissions by 2.62–157.46 Mt until 2060, which have enormous abatement potential for materials and CO₂ emissions. Executing multi-strategy simultaneously demonstrates superior overall effectiveness compared to individual strategies, which resulted in a cumulative reduction of 40.40 % of material requirements and 50.14 % of CO₂ emissions. Decarbonizing buildings, promoting sustainable development, and contributing to achieving "3060" dual carbon goals require a collaborative implementation of multiple strategies.

循环经济战略可以通过资源的高效利用和循环利用，有效调和人类活动与生态环境之间的矛盾，从而促进全球低碳可持续发展。然而，它在城市建筑中却缺乏应用。本研究基于周转动态存量模型和碳排放方法，构建了四层框架。结合 7 种循环经济策略和情景分析，该框架捕捉了北京建筑 3 类 7 个原型中 13 种主要材料的生产、需求、使用、回收和再利用情况，并探讨了 2022 年至 2060 年非物质化和低碳发展的潜力。结果表明，在现行政策下，到 2060 年，建筑面积将继续增长到 1.7490 亿平方米，材料需求量每年将增加 4964 万吨，二氧化碳排放量每年将增加 826 万吨。到 2060 年，循环经济战略可累计减少材料需求 2.40-7.6209 亿吨，减少二氧化碳排放 2.62-15.746 亿吨，具有巨大的材料和二氧化碳减排潜力。与单个战略相比，多战略同时实施的整体效果更佳，可累计减少 40.40% 的材料需求和 50.14% 的二氧化碳排放。要实现建筑脱碳，促进可持续发展，为实现 "3060 "双碳目标做出贡献，就需要多种战略的协同实施。

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引用次数: 0

Exhaustive overview of advances in integrating renewable energy sources into district heating systems 详尽概述将可再生能源纳入区域供热系统的进展情况

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2024-10-11 DOI: 10.1016/j.scs.2024.105897

Ioan Sarbu, Alexandru Dorca, Matei Mirza

This study offers a comprehensive overview of the recent advances in various aspects of district heating systems (DHSs), focusing on the fourth and fifth generations of heat distribution networks integrated with different renewable energy sources (RES). The study highlights the integrated approach of various advanced renewable technologies applied to DHSs, such as solar and geothermal energy, biomass, industrial waste heat, and especially the implementation of conventional heat pumps (HPs) and solar-assisted HPs with solar thermal (ST), photovoltaic (PV), or PV-thermal (PV/T) panels in resilient and sustainable buildings and DHSs to increase energy and environmental performances. The ineffectiveness of refrigerant can be used to evaluate quickly the HP energy efficiency only with the values of the operating temperatures, and to evaluate the energy performance of the HP-PV/T hybrid system, the use of the global seasonal performance factor ((SPF_HP-PV) is also considered. Additionally, it shows the possibility of recovering excessive pressure from DHSs using pumps working as turbines. The study also describes the major components and evolution of DHSs, briefly reviews low and ultra-low temperature DHSs, and implementation of borehole and hot water TES technology into DHS. It also discusses the main optimisation techniques, simulation tools, control methods, and maintenance for DHSs, as well as alternative connection modes of RES to DHS. Finally, some original research and a literature review are included on several applications of implementing various RES in resilient and sustainable buildings and DHS.

本研究全面概述了区域供热系统（DHS）各方面的最新进展，重点关注与不同可再生能源（RES）集成的第四代和第五代热分配网络。该研究强调了将各种先进的可再生能源技术（如太阳能和地热能、生物质能、工业废热）应用于区域供热系统的综合方法，特别是在弹性和可持续建筑及区域供热系统中采用传统热泵（HPs）和太阳能辅助热泵（HPs），并配备太阳能热板（ST）、光伏板（PV）或光伏热板（PV/T），以提高能源和环境性能。制冷剂的无效性仅可用于快速评估工作温度值下的 HP 能源效率，为了评估 HP-PV/T 混合系统的能源性能，还考虑了使用全球季节性性能系数（SPFHP-PV）。此外，研究还展示了使用作为涡轮机工作的泵回收 DHS 过高压力的可能性。本研究还介绍了 DHS 的主要组成部分和演变过程，简要回顾了低温和超低温 DHS 以及在 DHS 中采用钻孔和热水 TES 技术的情况。报告还讨论了 DHS 的主要优化技术、模拟工具、控制方法和维护，以及可再生能源与 DHS 的替代连接模式。最后，还包括一些原创性研究和文献综述，内容涉及在弹性和可持续建筑及 DHS 中实施各种可再生能源的若干应用。

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引用次数: 0

Data fusion for enhancing urban air quality modeling using large-scale citizen science data 利用大规模公民科学数据进行数据融合以加强城市空气质量建模

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2024-10-11 DOI: 10.1016/j.scs.2024.105896

Anna C. O'Regan , Henrik Grythe , Stig Hellebust , Susana Lopez-Aparicio , Colin O'Dowd , Paul D. Hamer , Gabriela Sousa Santos , Marguerite M. Nyhan

Rapid urbanization has led to many environmental issues, including poor air quality. With urbanization set to continue, there is an urgent need to mitigate air pollution and minimize its adverse health impacts. This study aims to advance urban air quality modelling by integrating a dispersion model output with large-scale citizen science data, collected over a 4-week period by 642 participants in Cork City, Ireland. The dispersion model enabled the identification of major sources of NO₂ air pollution while also addressing gaps in regulatory monitoring efforts. Integrating the diffusion tube data with the dispersion model output, we developed a data fusion model that captured localized fluctuations in air quality, with increases of up to 22μg/m³ observed at major road intersections. The data fusion model provided a more accurate representation of NO₂ concentrations, with estimates within 1.3μg/m³ of the regulatory monitoring measurement at an urban traffic location, an improvement of 11.7μg/m³ from the baseline dispersion model. This enhanced accuracy enabled a more precise assessment of the population exposure to air pollution. The data fusion model showed a higher population exposure to NO₂ compared to the dispersion model, providing valuable insights that can inform environmental health policies aimed at safeguarding public health.

快速城市化导致了许多环境问题，包括空气质量差。随着城市化进程的继续，迫切需要缓解空气污染并将其对健康的不利影响降至最低。这项研究旨在通过将分散模型输出与大规模公民科学数据相结合，推进城市空气质量建模工作，这些数据是由爱尔兰科克市的 642 名参与者在 4 周内收集的。弥散模型能够确定二氧化氮空气污染的主要来源，同时还能弥补监管监测工作的不足。通过将扩散管数据与弥散模型输出结果进行整合，我们开发出了一种数据融合模型，该模型能够捕捉空气质量的局部波动，在主要道路交叉口观测到的空气质量升幅最高可达 22 微克/立方米。数据融合模型更准确地反映了二氧化氮的浓度，在一个城市交通地点的估计值与监管监测测量值相差在 1.3 微克/立方米以内，比基线扩散模型提高了 11.7 微克/立方米。精确度的提高使我们能够更精确地评估人口暴露于空气污染的情况。与分散模型相比，数据融合模型显示人口暴露于二氧化氮的程度较高，为旨在保障公众健康的环境卫生政策提供了宝贵的信息。

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引用次数: 0

Expanding the associations between built environment characteristics and residential mobility in high-density neighborhood unit 拓展高密度邻里单元中建筑环境特征与居住流动性之间的联系

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2024-10-11 DOI: 10.1016/j.scs.2024.105885

Jiahui Zou, Chongxiao Wang, Shuolei Chen, Jinguang Zhang, Bing Qiu, Huiya Yang

Global trend of urbanization has led to frequent residential mobility and urban shrinkage issues. Planners and policy makers advocate for enhancing built environment quality of neighbourhood units to address these issues. Although the impact factors and degree of the influence of the built environment on residential mobility have been studied, the nonlinear effects at the neighbourhood level, and the relative importance when considered alongside other factors, remain unclear. In this study, the central area of Nanjing using mobile phone signalling data, the 5Ds framework, machine learning algorithms, and interpretable model Shapley Additive exPlanations (SHAP) are examined. The finding shows that (1) economy and neighbourhood ties are still key drivers of relocation. (2) Optimizing highly accessible road network for short-distance travel and developing low-density urban mode has become significant methods to attract relocators, interacting with other factors to influence residential mobility. (3) High-quality neighbourhood design, diverse amenities, and proximity to natural landscapes increase willingness to relocate, (4) while religion, socio-demographics, and large-scale transportation accessibility have minimal impact. The study offers four urban development recommendations to help municipal planners and policy makers create liveable cities and cohesive communities, providing essential insights for early or renewal stage urban planning stages.

全球城市化趋势导致了频繁的居住流动和城市缩水问题。规划者和政策制定者主张通过提高街区单元的建筑环境质量来解决这些问题。尽管人们已经研究了建筑环境对居住流动性的影响因素和影响程度，但街区层面的非线性效应以及与其他因素一起考虑时的相对重要性仍不明确。本研究利用手机信号数据、5Ds 框架、机器学习算法和可解释模型 Shapley Additive exPlanations（SHAP）对南京市中心区域进行了研究。研究结果表明：（1）经济和邻里关系仍是搬迁的主要驱动因素。(2）优化短距离出行的高可达性道路网络和发展低密度城市模式已成为吸引搬迁者的重要方法，并与其他因素相互作用，影响居住流动性。(3）高质量的街区设计、多样化的便利设施和邻近自然景观会提高搬迁意愿，（4）而宗教、社会人口和大型交通的便利性影响甚微。该研究提出了四项城市发展建议，帮助市政规划者和政策制定者创建宜居城市和具有凝聚力的社区，为早期或更新阶段的城市规划提供了重要见解。

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引用次数: 0

Designing breezeways to enhance wind environments in high-density cities: A comprehensive analysis of ten morphological parameters 设计通风廊道，改善高密度城市的风环境：十个形态参数的综合分析

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2024-10-11 DOI: 10.1016/j.scs.2024.105898

Yueyang He , Carmen Hau Man Wong , Jiyu Deng , Zhixin Liu , Edward Ng

To advance urban breezeway designs, this paper presents a pioneering and comprehensive study of breezeway morphological parameters. Ten parameters, identified through extensive literature review, include coverage ratio, porosity, line density, sinuosity, rotation angle, width, length, average height, height variation, and aspect ratio. Regression analysis, utilizing over 200 data points collected from wind tunnel experiments in Hong Kong, established correlations between these parameters and pedestrian-level wind velocity ratio (VR_point). Results reveal that among the 2D parameters, width, length, line density, and coverage ratio exhibit the strongest correlations with VR_point, while aspect ratio and porosity emerge as significant factors among the 3D parameters. Notably, simple 2D parameters, coverage ratio and width, can effectively substitute for their 3D counterparts, porosity and aspect ratio, in high-density urban environments. Furthermore, the results highlight the relative contributions of different parameters to urban ventilation. From a street-level perspective, VR_point is primarily influenced by configurations of street segments (width, 80 %) and street intersections (rotation angle, 20 %). From a neighborhood-level perspective, permeability (coverage ratio, 35 %), fragmentation (line density, 30 %), and roughness (average height, 35 %) are critical factors. Illustrative examples are provided to help translate these findings into spatial analysis tools and design guidelines, aiding planners and decision-makers in improving urban living environments.

为了推进城市通风廊道的设计，本文对通风廊道的形态参数进行了开创性的综合研究。通过查阅大量文献，确定了十个参数，包括覆盖率、孔隙率、线密度、蜿蜒度、旋转角、宽度、长度、平均高度、高度变化和长宽比。利用从香港风洞实验中收集的 200 多个数据点进行回归分析，确定了这些参数与行人水平风速比 (VRpoint) 之间的相关性。结果显示，在二维参数中，宽度、长度、线密度和覆盖率与 VRpoint 的相关性最强，而纵横比和孔隙率则是三维参数中的重要因素。值得注意的是，在高密度城市环境中，简单的二维参数（覆盖率和宽度）可以有效替代三维参数（孔隙率和长宽比）。此外，研究结果还强调了不同参数对城市通风的相对贡献。从街道一级的角度来看，VRpoint 主要受街道段（宽度，80%）和街道交叉口（旋转角度，20%）配置的影响。从街区层面来看，渗透性（覆盖率，35%）、破碎度（线密度，30%）和粗糙度（平均高度，35%）是关键因素。本报告提供了一些示例，有助于将这些发现转化为空间分析工具和设计指南，帮助规划者和决策者改善城市生活环境。

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引用次数: 0

Robust day-ahead scheduling of cooperative energy communities considering multiple aggregators 考虑多个聚合器的合作能源社区稳健的日前调度

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2024-10-10 DOI: 10.1016/j.scs.2024.105878

Marcos Tostado-Véliz , Juan S. Giraldo , Daniel Icaza Álvarez , Carlos Cruz , Francisco Jurado

Future cities must play a vital role in reducing energy consumption and decarbonizing the electricity sector, thus evolving from passive structures towards more efficient smart cities. This transition can be facilitated by energy communities. This emerging paradigm consists of collectivizing a set of residential installations equipped with onsite renewable generators and storage assets (i.e., prosumers), which can eventually share resources to pursue collective welfare. This paper focuses on cooperative communities, where prosumers share resources without seeking selfish monetary counterparts. Despite their apparent advantages, energy management and scheduling of energy communities suppose a challenge for conventional tools due to the high level of uncertainty (especially due to intermittent renewable generation and random demand), and privacy concerns among prosumers. This paper addresses these issues. Specifically, a novel management structure based on multiple aggregators is proposed. This paradigm preserves users' confidential features while allowing them to extract the full potential of their assets. To efficiently manage the variety of assets available under uncertainty, an adaptive robust day-ahead scheduling model is developed, which casts as a solvable and portable Mixed Integer Linear Programming framework, which eases its implementation in real-world cases. The new proposal concerns uncertain generation and demand using a polyhedral representation of the uncertainty set. A case study is conducted to validate the developed model, showing promising results. Moreover, different results are obtained and analysed. Finally, it is worth remarking on how the level of robustness impacts the collective bill, incrementing it by 75 % when risk-averse conditions are assumed. In addition, the role of storage assets under pessimistic conditions is remarked, pointing out that these assets rule the scheduling plan of the community instead of renewable generators.

未来的城市必须在减少能源消耗和电力部门去碳化方面发挥重要作用，从而从被动结构向更高效的智能城市发展。能源社区可以促进这一转变。这一新兴模式包括将一系列配备现场可再生能源发电机和储能资产的住宅设施（即专业消费者）集体化，最终实现资源共享，以追求集体福利。本文的重点是合作社区，在这些社区中，消费者共享资源，而不追求自私的金钱回报。能源社区的能源管理和调度尽管具有明显的优势，但由于高度的不确定性（特别是由于间歇性可再生能源发电和随机需求）以及对消费者隐私的担忧，对传统工具来说是一个挑战。本文就是要解决这些问题。具体而言，本文提出了一种基于多个聚合器的新型管理结构。这种模式既能保护用户的保密特征，又能让他们充分挖掘其资产的潜力。为了有效管理不确定性条件下的各种可用资产，本文开发了一个自适应稳健日前调度模型，该模型是一个可求解、可移植的混合整数线性规划框架，便于在现实世界中实施。新建议采用不确定性集合的多面体表示法来处理不确定的发电量和需求量。为验证所开发的模型，我们进行了一项案例研究，结果表明该模型大有可为。此外，还获得并分析了不同的结果。最后，值得注意的是稳健性水平如何影响集体账单，在假设规避风险的条件下，集体账单会增加 75%。此外，还指出了储能资产在悲观条件下的作用，指出这些资产而不是可再生能源发电机决定着社区的调度计划。

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引用次数: 0

Enhancing road traffic flow in sustainable cities through transformer models: Advancements and challenges 通过变压器模型提高可持续城市的道路交通流量：进步与挑战

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2024-10-10 DOI: 10.1016/j.scs.2024.105882

Shahriar Soudeep , Most. Lailun Nahar Aurthy , Jamin Rahman Jim , M.F. Mridha , Md Mohsin Kabir

Efficient traffic flow is crucial for sustainable cities, as it directly impacts energy consumption, pollution levels, and overall quality of life. The integration of superficial intelligence, particularly transformer models, plays a significant role in enhancing the predictive capabilities for traffic management, thereby supporting sustainable urban development. In this survey, we explored the application of transformer models to predict and optimize traffic flow in sustainable cities. These models leverage advanced machine learning to capture intricate spatiotemporal patterns,thereby providing valuable insights for urban planners and traffic management centers. By systematically reviewing the literature, we emphasize the importance of transformer models in urban planning and sustainable resource use. Our study demonstrates how transformer models can learn complex spatiotemporal patterns from traffic data by incorporating both real-time and historical data to enhance prediction accuracy. This improved predictive capability aids the development of smart cities by reducing traffic congestion, facilitating smoother movement for city dwellers and tourists, and ultimately contributing to the sustainability goals of urban areas. This comprehensive review highlights the transformative potential of predictive modeling using transformer models, underscoring their critical role in optimizing urban infrastructure and promoting sustainable city development.

高效的交通流对于可持续发展的城市至关重要，因为它直接影响到能源消耗、污染水平和整体生活质量。表面智能的集成，尤其是变压器模型，在增强交通管理预测能力方面发挥着重要作用，从而支持城市的可持续发展。在本次调查中，我们探讨了如何应用变压器模型来预测和优化可持续城市的交通流量。这些模型利用先进的机器学习捕捉错综复杂的时空模式，从而为城市规划者和交通管理中心提供有价值的见解。通过系统回顾文献，我们强调了变压器模型在城市规划和资源可持续利用中的重要性。我们的研究展示了变压器模型如何通过结合实时数据和历史数据，从交通数据中学习复杂的时空模式，从而提高预测准确性。这种预测能力的提高有助于智慧城市的发展，可以减少交通拥堵，为城市居民和游客提供更顺畅的交通，并最终为实现城市地区的可持续发展目标做出贡献。这篇综合评论强调了使用变压器模型进行预测建模的变革潜力，突出了其在优化城市基础设施和促进城市可持续发展方面的关键作用。

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引用次数: 0

An integrated hydrological-hydrogeological model for analysing spatio-temporal probability of groundwater infiltration in urban infrastructure 用于分析城市基础设施地下水渗透时空概率的水文-水文地质综合模型

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2024-10-10 DOI: 10.1016/j.scs.2024.105891

Nejat Zeydalinejad , Akbar A. Javadi , David Baldock , James L. Webber

While groundwater serves as a valuable resource, its infiltration poses significant challenges to urban infrastructure. This study develops and demonstrates a computationally efficient spatio-temporal analysis of groundwater infiltration (GWI) in urban facilities, specifically sewer networks (SNs), within the Lower River Otter Water Body, United Kingdom. To achieve this, the Fuzzy-Analytic Hierarchy Process (F-AHP) within a Geographic Information System (GIS) framework was employed, considering geology, geomorphology, hydrology, hydrogeology, climate, and topography. The proposed model encompasses 16 thematic maps, categorised into 6 groups: (1) groundwater (groundwater depth (GWD)); (2) altitude (elevation, slope, and topographic wetness index); (3) precipitation (monthly precipitation); (4) ground cover (rock permeability, alluvial permeability, soil type, land cover, and made ground); (5) earth movement (fault proximity, fault length density, and mass movement); and (6) runoff (river, flood potential, and drainage density). Expert judgment, F-analysis, and AHP were applied to the layers for classification, normalisation, and weight assignment, respectively. Verified by data from outfalls, GWI probability maps were generated considering the shallowest GWD and highest precipitation for temporal analysis. Overall, higher GWI probability scores were found in regions with shallower GWD, lower elevations, especially near river, and higher permeabilities. Assigning a probability score between 0 and 1 for each 1-metre area in each season, the vulnerability maps can guide water agencies in implementing protective strategies for infrastructure. The findings contribute to enhancing groundwater sustainability in urban areas, particularly in the face of potential climate change.

虽然地下水是一种宝贵的资源，但它的渗透也给城市基础设施带来了巨大挑战。本研究开发并演示了一种高效计算的时空分析方法，用于分析英国奥特河下游水体中城市设施（特别是下水道网络 (SN)）的地下水渗透（GWI）情况。为此，在地理信息系统 (GIS) 框架内采用了模糊分析层次过程 (F-AHP)，考虑了地质、地貌、水文、水文地质、气候和地形。拟议模型包括 16 幅专题地图，分为 6 组：(1) 地下水（地下水深度 (GWD)）；(2) 海拔（海拔高度、坡度和地形湿润指数）；(3) 降水（月降水量）；(4) 地面覆盖（岩石渗透性、冲积层渗透性、土壤类型、土地覆盖和人造地面）；(5) 地球运动（断层邻近度、断层长度密度和质量运动）；以及 (6) 径流（河流、洪水潜力和排水密度）。专家判断、F 分析和 AHP 分别应用于图层的分类、归一化和权重分配。经排污口数据验证，考虑到最浅的 GWD 和最高的降水量，生成了 GWI 概率图，用于时间分析。总体而言，全球降水潜能值较浅、海拔较低（尤其是靠近河流）和渗透率较高的地区，其全球降水潜能值概率得分较高。在每个季节，每个 1 米区域的概率分数介于 0 和 1 之间，脆弱性地图可指导水利机构实施基础设施保护战略。这些发现有助于提高城市地区地下水的可持续性，尤其是在面临潜在气候变化的情况下。

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引用次数: 0

A multi-stakeholder engagement framework for material-building-city synergy through circular transformation 多方利益相关者参与框架：通过循环转型实现材料建设与城市协同作用

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society

Pub Date : 2024-10-10 DOI: 10.1016/j.scs.2024.105892

Hafize Büşra Bostancı , Ali Murat Tanyer , Guillaume Habert

Scholars, industrial stakeholders, and governmental institutions are developing the circular economy paradigm. However, the emergence of multiple perspectives has challenged its implementation. As the industry that is the biggest contributor to the negative impacts on the environment, the construction industry stakeholders are paving the way for more sustainable as well as circular and regenerative construction by considering all actors in the system. Yet, the construction industry has a complex supply chain that requires clear strategies and stakeholder engagement across materials, buildings, and cities for efficient flows in the supply chain. Nonetheless, there is a need for improvement in the engagement of construction stakeholders for circular transformation. Therefore, this study aims to develop a multi-stakeholder engagement framework through circular transformation to guide the decision-makers for circular city governance. It has identified critical success factors by considering the construction stakeholders. The framework includes strategies at the micro (material), meso (building), and macro (city) scales to strengthen the material-building-city synergy. It's a significant step toward advancing circular city governance by bridging the gap between theoretical understanding and practical implementation and establishing a robust engagement for material-building-city synergy. The study employs a systematic literature review to extract strategies and natural language processing to analyze the strategies by topic modeling and defines critical success factors for multi-stakeholder engagement at multiscale. The outcome introduces the REVERT framework, bridging resource, envisagement, validation, entity, regulation, and technology, to facilitate a seamless transition by material-building-city synergy advancing circular city governance.

学者、行业利益相关者和政府机构正在发展循环经济范式。然而，多种观点的出现对其实施提出了挑战。作为对环境造成最大负面影响的行业，建筑行业的利益相关者正在通过考虑系统中的所有参与者，为更具可持续性以及循环和再生性的建筑铺平道路。然而，建筑行业的供应链十分复杂，需要明确的战略和利益相关者的参与，以实现材料、建筑和城市在供应链中的高效流动。尽管如此，仍需要改进建筑利益相关者的参与，以实现循环转型。因此，本研究旨在通过循环转型制定一个多方利益相关者参与框架，为循环型城市治理的决策者提供指导。它通过考虑建筑利益相关者，确定了关键的成功因素。该框架包括微观（材料）、中观（建筑）和宏观（城市）尺度的战略，以加强材料-建筑-城市的协同作用。通过弥合理论理解与实际执行之间的差距，建立材料-建筑-城市协同作用的有力参与，这是推进循环型城市治理的重要一步。本研究通过系统的文献综述提取策略，并采用自然语言处理技术通过主题建模对策略进行分析，定义了多利益相关者多尺度参与的关键成功因素。研究成果引入了 REVERT 框架，将资源、设想、验证、实体、监管和技术连接起来，通过材料建设-城市协同推进循环城市治理，促进无缝过渡。

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