Sustainable Cities and Society最新文献_第5页

Exploring the climatic conditions effect on spatial urban photovoltaic systems development using a spatial multi-criteria decision analysis: A multi-city analysis 利用空间多标准决策分析探讨气候条件对城市空间光伏系统开发的影响：多城市分析

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

Sustainable Cities and Society

Pub Date : 2024-10-28 DOI: 10.1016/j.scs.2024.105941

Abouzar Gholamalizadeh , Saman Nadizadeh Shorabeh , Kianoosh Choubineh , Alireza Karimi , Laleh Ghahremani , Mohammad Karimi Firozjaei

Identifying suitable locations for urban photovoltaic systems (UPVS) is crucial for achieving sustainable energy objectives and designing smart, eco-friendly cities. This study assesses the potential for UPVS expansion in eight cities across different climatic zones in Iran using a spatial multi-criteria decision-making method. Two scenarios were analyzed: the first compared spatial potential within each city, and the second compared potential between cities. The findings indicate that rooftops of the tallest buildings in densely populated areas, especially those with high solar energy output and sky view factor, hold the greatest potential for UPVS development. These locations are often near parks, commercial centers, and road networks. In the first scenario, Ardabil (5.70%), Gorgan (4.65%), Mashhad (5.46%), Tehran (8.10%), Kermanshah (5.76%), Shahrekord (3.41%), Kerman (8.67%), and Zahedan (8.56%) show significant potential for photovoltaic development. In the second scenario, cities in hot, dry climates like Zahedan and Kerman exhibit greater potential compared to cities in moderate, humid climates like Ardabil and Gorgan. Based on the analysis of this scenario, Ardabil (0.04%), Gorgan (1.49%), Mashhad (5.58%), Tehran (5.06%), Kermanshah (0.00%), Shaherkord (0.03%), Kerman (21.70%) and Zahedan (39.11%) showed a very high potential for UPVS development. The results of this study offer valuable insights for urban solar energy planning.

确定城市光伏系统（UPVS）的合适位置对于实现可持续能源目标和设计智能、生态友好型城市至关重要。本研究采用空间多标准决策方法，对伊朗不同气候带八个城市的 UPVS 扩展潜力进行了评估。研究分析了两种方案：第一种方案比较了每个城市内部的空间潜力，第二种方案比较了城市之间的潜力。研究结果表明，人口稠密地区最高建筑的屋顶，尤其是太阳能输出和天空视角系数较高的屋顶，具有最大的 UPVS 开发潜力。这些地点通常靠近公园、商业中心和道路网络。在第一种情况下，阿尔达比勒（5.70%）、戈尔甘（4.65%）、马什哈德（5.46%）、德黑兰（8.10%）、克尔曼沙赫（5.76%）、沙雷科德（3.41%）、克尔曼（8.67%）和扎赫丹（8.56%）显示出巨大的光伏发展潜力。在第二种情况下，扎黑丹和克尔曼等气候炎热干燥的城市与阿尔达比勒和戈尔甘等气候温和潮湿的城市相比，表现出更大的潜力。根据对这一情景的分析，阿尔达比勒（0.04%）、戈尔甘（1.49%）、马什哈德（5.58%）、德黑兰（5.06%）、克尔曼沙赫（0.00%）、沙赫科德（0.03%）、克尔曼（21.70%）和扎黑丹（39.11%）显示出极高的 UPVS 发展潜力。这项研究的结果为城市太阳能规划提供了宝贵的启示。

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引用次数: 0

Energy management based on coalitionnal game subdivision applied to energy communities 基于联盟博弈细分的能源管理应用于能源社区

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

Sustainable Cities and Society

Pub Date : 2024-10-24 DOI: 10.1016/j.scs.2024.105911

Adrien Bossu , Benoit Durillon , Arnaud Davigny , Hervé Barry , Fateh Belaïd , Benoît Robyns , Christophe Saudemont

The energy transition requires rethinking how we produce and consume energy. Energy communities (EC) provide a recent legal framework for sharing energy, aiming to reduce energy bills and the environmental footprint of their participants. One of the challenges is adapting economic models to this technological upheaval. In this context, cooperative games, based on game theory, are valuable tools for modeling energy management through cooperation. However, despite their promising characteristics, cooperative games are limited by their computational complexity. The required computation time to solve cooperative games increases exponentially with the number of participants, restricting their application in energy management. This paper aims to propose a solution to apply cooperative game theory tools to larger communities using a multidisciplinary approach. For this purpose, a game subdivision approach based on the specific properties of energy communities is proposed. This methodology will be shown to be efficient in terms of computation time. While the game theory concepts are depreciated by limiting computing time, the sub-games method can become an interesting tool in energy management. Advantages and drawbacks in terms of energy management and game theory are discussed in this paper.

能源转型要求我们重新思考如何生产和消费能源。能源社区（EC）为共享能源提供了一个最新的法律框架，旨在减少能源账单和参与者对环境的影响。其中一项挑战是如何调整经济模式，以适应这一技术变革。在这种情况下，基于博弈论的合作博弈是通过合作进行能源管理建模的重要工具。然而，尽管合作博弈具有良好的特点，但其计算复杂性却限制了合作博弈的发展。解决合作博弈所需的计算时间会随着参与人数的增加而呈指数增长，从而限制了其在能源管理中的应用。本文旨在提出一种解决方案，利用多学科方法将合作博弈论工具应用于更大的社区。为此，本文提出了一种基于能源社区特定属性的博弈细分方法。该方法将被证明在计算时间方面是高效的。虽然由于计算时间的限制，博弈论的概念有所贬值，但子博弈方法可以成为能源管理中一个有趣的工具。本文将讨论能源管理和博弈论的优缺点。

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引用次数: 0

Intersecting social welfare with resilience to streamline urban flood management 将社会福利与抗灾能力相结合，简化城市洪水管理

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

Sustainable Cities and Society

Pub Date : 2024-10-24 DOI: 10.1016/j.scs.2024.105927

Mohammad Reza Hassani , Seyyed Farid Mousavi Janbehsarayi , Mohammad Hossein Niksokhan , Ashish Sharma

Urban policymakers have long searched for stormwater management plans that incentivize stakeholders to adopt Green Infrastructure (GI) while effectively reducing the vulnerability of drainage systems. In this regard, our research introduces a novel framework to develop GI strategies that provide both hydrological resiliency and social acceptance. To achieve this, first, using a coupled Stormwater Management Model (SWMM) and Non-dominated Sorting Genetic Algorithm-II (NSGA-II), optimal alternatives for GI planning were generated. In the optimization process, we used a novel Simple Urban Flood Resilience Index (SUFRI) to consider the internal performance of the system in identifying resilient plans. Derived management strategies warrant runoff volume reduction and resilience improvement up to 31.3% and 55.1%, respectively. In the next step, Utilitarian-based Social Welfare (USW) was employed to clarify the socio-economic behavior of management strategies. Results indicate that while financial incentives significantly motivate developers to implement GI, they cannot guarantee high social welfare, and achieving a sustainable solution requires evaluating both SUFRI and USW layers under different subsidy levels. Visualizing the SUFRI layer revealed a critical failure in the resiliency trend of solutions that cannot be detected by evaluating simpler metrics, such as runoff volume reduction. This highlights the importance of the SUFRI method in conducting deeper evaluations and preventing financial waste. Finally, we navigated the intersection of USW and SUFRI measures to reach an ideal management plan with optimal supporting level. Our findings showed that the selected solution with the highest social acceptability can improve the resiliency of the system by 29 %. This study is a novel combination of the hydrological and social aspects of stormwater management, enabling decision-makers to take significant steps towards sustainable urban development.

长期以来，城市决策者一直在寻找既能激励利益相关者采用绿色基础设施（GI），又能有效降低排水系统脆弱性的雨水管理计划。为此，我们的研究引入了一个新颖的框架，以制定既能提供水文恢复能力又能获得社会认可的绿色基础设施战略。为此，我们首先利用雨水管理模型（SWMM）和非优势排序遗传算法-II（NSGA-II），为 GI 规划生成了最佳替代方案。在优化过程中，我们使用了新颖的简单城市抗洪指数（SUFRI），在确定抗洪计划时考虑了系统的内部性能。得出的管理策略保证了径流量的减少和恢复力的提高，分别达到 31.3% 和 55.1%。下一步，采用基于功利主义的社会福利（USW）来阐明管理策略的社会经济行为。结果表明，虽然经济激励措施能极大地调动开发商实施 GI 的积极性，但并不能保证高社会福利，要实现可持续的解决方案，需要在不同补贴水平下对 SUFRI 层和 USW 层进行评估。对 SUFRI 层的可视化揭示了解决方案恢复力趋势中的一个关键失误，而这一失误无法通过评估径流量减少等更简单的指标来发现。这凸显了 SUFRI 方法在进行更深入评估和防止资金浪费方面的重要性。最后，我们对 USW 和 SUFRI 措施的交叉点进行了导航，以达到具有最佳支持水平的理想管理计划。我们的研究结果表明，所选方案的社会接受度最高，可将系统的恢复能力提高 29%。这项研究新颖地将雨水管理的水文和社会方面结合起来，使决策者能够采取重要措施，实现城市的可持续发展。

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引用次数: 0

Air quality improvement at urban bus stops: Optimal air purification placement using CFD 改善城市公交站台的空气质量：利用 CFD 优化空气净化位置

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

Sustainable Cities and Society

Pub Date : 2024-10-24 DOI: 10.1016/j.scs.2024.105937

Yup Yoo , Junghwan Kim , Jaewon Lee , Hyungtae Cho

Nitrogen dioxide (NO₂) levels are often elevated near roadways due to vehicle emissions, while sulfur dioxide (SO₂) is predominantly found near petrochemical complexes as a result of industrial activities such as oil refining and chemical manufacturing. Considering the detrimental effects of these emissions on the environment and human health, the optimal placement of air purification systems at two bus stops in Ulsan, a heavily industrialized city in South Korea, was investigated in this study to reduce NO₂ and SO₂ concentrations. Computational fluid dynamics (CFD) simulations were performed to identify strategic installation locations, resulting in a significant reduction in pollutant levels. The largest impact was noted for the Deokha Market bus stop, whereby the added health risk (AR) decreased by 1.93 % and the exposure reduction effectiveness (ERE), a measure of air purification system efficiency, increased by 13.8 %. Similarly, at the Hyomun Intersection bus stop, placing the system near the sidewalk led to a significant reduction in AR by 1.60 % and an increase in ERE by 11.63 %. Additionally, air purification systems at Ulsan bus stops are expected to reduce NO2 levels by 9.1 ppb, decreasing mortality risk by 1.44 %, saving 7 lives annually, and yielding an economic benefit of 33.06 million USD.

由于汽车尾气的排放，道路附近的二氧化氮（NO2）含量经常升高，而由于炼油和化工生产等工业活动，石油化工综合体附近的二氧化硫（SO2）含量居高不下。考虑到这些排放物对环境和人类健康的不利影响，本研究调查了在韩国重工业城市蔚山的两个公交站点安装空气净化系统以降低二氧化氮和二氧化硫浓度的最佳方案。通过计算流体动力学（CFD）模拟，确定了最佳安装位置，从而显著降低了污染物水平。影响最大的是德化市场公交车站，增加的健康风险 (AR) 降低了 1.93%，衡量空气净化系统效率的暴露减少效果 (ERE) 提高了 13.8%。同样，在 Hyomun 十字路口公交车站，将空气净化系统安装在人行道附近，可显著降低 1.60% 的健康风险，提高 11.63% 的ERE。此外，蔚山公交车站的空气净化系统预计可将二氧化氮水平降低 9.1 ppb，将死亡风险降低 1.44 %，每年挽救 7 条生命，并产生 3306 万美元的经济效益。

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引用次数: 0

Multi-period Charging Infrastructure Planning under Uncertainty: Challenges and Opportunities 不确定性下的多期充电基础设施规划：挑战与机遇

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

Sustainable Cities and Society

Pub Date : 2024-10-24 DOI: 10.1016/j.scs.2024.105908

Qiming Ye , Prateek Bansal , Bryan Adey

Long-term charging infrastructure planning is imperative to sustain the rapid adoption of electric vehicles (EVs) in line with climate goals. While the literature on spatial planning of charging infrastructure is well documented, the temporal dimension has received limited attention. This paper comprehensively reviews the literature on multi-period charging infrastructure planning under uncertainty. It examines the complex interplay between EV mobility and the energy sector. Four gaps are identified after examining 44 pertinent studies published from January 1990 to March 2024. Firstly, current models are predominantly deterministic and myopic, lacking a forward-looking approach to accommodate future uncertainties. Secondly, most studies rely on EVs’ aggregated mobility and charging patterns, leading to inaccurate charging demand forecasts and suboptimal plans. Addressing this requires integrating vehicle-level agent-based models that accurately depict EVs’ charging patterns, and their interactions with charging stations and the grid. Thirdly, the impact of improved charging infrastructure on EV adoption is generally ignored. Joint consideration of charging demand forecasting with infrastructure planning is essential to incorporate such infrastructure-demand feedback loops. Lastly, current planning frameworks show limited integration of grid expansion, operations, and renewable energy sources To address these gaps, we propose a dynamic programming-based framework and solution approach to this planning problem.

要使电动汽车（EV）的快速普及与气候目标保持一致，就必须进行长期的充电基础设施规划。有关充电基础设施空间规划的文献已被大量引用，但对时间维度的关注却很有限。本文全面回顾了不确定性条件下多期充电基础设施规划方面的文献。它研究了电动汽车流动性与能源部门之间复杂的相互作用。在研究了 1990 年 1 月至 2024 年 3 月期间发表的 44 篇相关研究后，发现了四个差距。首先，目前的模型主要是确定性和近视性的，缺乏前瞻性的方法来考虑未来的不确定性。其次，大多数研究依赖于电动汽车的综合移动性和充电模式，导致充电需求预测不准确和计划不理想。要解决这个问题，需要整合基于车辆级代理的模型，准确描述电动汽车的充电模式，以及它们与充电站和电网之间的互动。第三，改善充电基础设施对电动汽车应用的影响通常被忽视。将充电需求预测与基础设施规划结合起来考虑，对于纳入此类基础设施需求反馈回路至关重要。最后，目前的规划框架对电网扩展、运营和可再生能源的整合有限。为了弥补这些不足，我们针对这一规划问题提出了基于动态编程的框架和解决方法。

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引用次数: 0

Simulation and prediction of daytime surface urban heat island intensity under multiple scenarios via fully connected neural network 通过全连接神经网络模拟和预测多种情景下的白天地表城市热岛强度

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

Sustainable Cities and Society

Pub Date : 2024-10-23 DOI: 10.1016/j.scs.2024.105922

Jiongye Li , Yingwei Yan , Rudi Stouffs

The intensification of the Surface Urban Heat Island (SUHI), driven by urbanization, land use and land cover (LULC) changes, and population growth, presents significant environmental and public health risks in urban areas. Simulating and predicting SUHI, particularly through the identification of future high SUHI intensity (SUHII) zones, has been recognized as a critical step in mitigating these effects. This study employs a Fully Convolutional Neural Network (FCNN) model, trained on data from four research sites, to simulate the current daytime SUHII across six validation sites in Singapore, utilizing 15 key independent variables identified in previous studies. The model exhibits high validation accuracy, achieving 87.45%. Three projection scenarios, based on projected population growth and LULC changes, predict a decrease in High SUHII across all validation sites, ranging from 98.3% to 9%. This reduction is attributed to the LULC improvements proposed in the 2019 Master Plan. Spatial analysis of the predicted SUHII maps indicates that the majority of High SUHII locations across scenarios remain consistent with the current situation. This research also suggests that the model could be a valuable tool for urban planners, allowing them to assess whether new urban development plans will effectively reduce High SUHII to desired thresholds, thereby mitigating SUHII in urban environments.

城市化、土地利用和土地覆盖（LULC）变化以及人口增长导致城市地表热岛（SUHI）加剧，给城市地区带来了巨大的环境和公共健康风险。模拟和预测 SUHI，特别是通过识别未来的 SUHI 高强度（SUHII）区，已被视为减轻这些影响的关键步骤。本研究采用了一个全卷积神经网络（FCNN）模型，该模型在四个研究地点的数据基础上进行了训练，利用之前研究中确定的 15 个关键独立变量，模拟了新加坡六个验证地点当前的日间 SUHII。该模型的验证准确率很高，达到 87.45%。根据预测的人口增长和土地利用、土地利用的变化，三种预测方案预测所有验证地点的高 SUHII 都会下降，降幅从 98.3% 到 9% 不等。这一下降归因于 2019 年总体规划中提出的 LULC 改善措施。对预测的 SUHII 地图进行的空间分析表明，在各种方案中，大多数 SUHII 偏高的地点与当前情况保持一致。这项研究还表明，该模型可以成为城市规划者的宝贵工具，使他们能够评估新的城市发展计划是否能有效地将高 SUHII 降低到所需的阈值，从而减轻城市环境中的 SUHII。

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引用次数: 0

Self-reported public fast charging infrastructure demand: What do existing and potential electric vehicle adopters want and where? 自我报告的公共快速充电基础设施需求：现有和潜在的电动汽车用户需要什么？

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

Sustainable Cities and Society

Pub Date : 2024-10-23 DOI: 10.1016/j.scs.2024.105935

Ubaid Illahi , Robert Egan , Margaret O'Mahony , Brian Caulfield

Electric vehicles (EVs) promise emissions reduction, but adoption rates must increase to meet 2030 targets. Since public fast charging infrastructure (PFCI) is considered important to increase EV uptake, this research aims to assess its demand across existing and potential EV adopters in Ireland. Online mapping tools were used to capture 1635 self-reported locations where users prefer PFCI, along with other related preferences from 545 respondents. The results were analysed using a mixed-method approach including exploratory factor analysis (EFA), Geographic Information System (GIS), two-step cluster analysis, and qualitative analysis. The results indicate that expanding PFCI is critical for increasing EV uptake, with 81.4% of potential EV adopters showing a significant impact on uptake. Major deterrents identified include insufficient availability of public fast chargers followed by high charging costs. The qualitative analysis highlights existing EV users’ demand for improved end-user experiences, such as unified payment systems. Most preferred locations for PFCI installation include travel routes, followed by shopping centres/ supermarkets. Results also indicate that a reliable second-hand market would be key to increasing EV uptake. The findings from this study can serve policymakers in effectively rolling out PFCI, while the methodology employed can be replicated in other comparable study areas.

电动汽车（EV）有望实现减排，但要达到 2030 年的目标，必须提高采用率。由于公共快速充电基础设施（PFCI）被认为是提高电动汽车采用率的重要因素，本研究旨在评估爱尔兰现有和潜在电动汽车采用者对该基础设施的需求。研究使用在线绘图工具，从 545 名受访者那里获取了 1635 个用户自报的公共快速充电基础设施首选地点以及其他相关偏好。分析结果采用混合方法，包括探索性因子分析 (EFA)、地理信息系统 (GIS)、两步聚类分析和定性分析。结果表明，扩大 PFCI 对提高电动汽车使用率至关重要，81.4% 的潜在电动汽车采用者认为 PFCI 对提高电动汽车使用率有重大影响。发现的主要阻碍因素包括公共快速充电器供应不足，其次是充电成本过高。定性分析强调了现有电动汽车用户对改善终端用户体验的需求，如统一支付系统。安装 PFCI 的首选地点包括旅行路线，其次是购物中心/超市。研究结果还表明，可靠的二手市场是提高电动汽车使用率的关键。这项研究的结果可以帮助政策制定者有效地推广 PFCI，同时所采用的方法也可以在其他可比研究地区推广。

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引用次数: 0

A cross-scale indicator framework for the study of annual stability of land surface temperature in different land uses 用于研究不同土地利用中地表温度年稳定性的跨尺度指标框架

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

Sustainable Cities and Society

Pub Date : 2024-10-23 DOI: 10.1016/j.scs.2024.105936

Shuyang Zhang , Chao Yuan , Taihan Chen , Beini Ma , Nianxiong Liu

Urban Land Surface Temperature (LST) is crucial in surface urban heat island (SUHI) and microclimate studies. Currently, research has focused on seasonal LST differences across land uses, but annual LST fluctuations (ΔLST) within the same land use and their drivers remain underexplored. To explore the impact of land characteristics and urban elements on seasonal LST differences, we propose annual LST stability. We constructed a new indicator framework based on Land Use and Land Cover (LULC), supplemented by Land Morphology (LM) and Land Properties (LP), for cross-scale ΔLST research. We identified land use ratios and key characteristics of urban plots with high stability. The results show an interactive effect of the green land ratio to other land on ΔLST. For residential and office land, the green space ratio (GSR) is key to annual LST stability. Residential land needs a GSR of more than 24 %. The floor area ratio (FAR) for residential and office land has a significant nonlinear effect on annual LST stability, with FARs of 1.8 for residential land and 1.5 for office land being most detrimental to the LST stability. For practical implications, we conducted cluster analyses on residential, office, and green lands, providing strategies to improve stability. These conclusions help balance land economic benefits with urban climate resilience and guide urban planning and design to address the challenges of heat and cold waves.

城市地表温度（LST）在地表城市热岛（SUHI）和小气候研究中至关重要。目前，研究主要集中在不同土地利用方式的季节性地表温度差异上，但对同一土地利用方式下的地表温度年波动（ΔLST）及其驱动因素的研究仍然不足。为了探索土地特征和城市要素对 LST 季节性差异的影响，我们提出了 LST 年度稳定性。我们构建了一个基于土地利用和土地覆盖（LULC）的新指标框架，并辅以土地形态（LM）和土地性质（LP），用于跨尺度ΔLST 研究。我们确定了具有高度稳定性的城市地块的土地利用比率和主要特征。结果显示，绿地与其他土地的比例对ΔLST 有交互影响。对于住宅和办公用地而言，绿地率（GSR）是年度 LST 稳定性的关键。居住用地的绿地率需要大于 24%。居住用地和办公用地的容积率（FAR）对年 LST 稳定性有显著的非线性影响，其中居住用地的容积率为 1.8 和办公用地的容积率为 1.5 对 LST 稳定性最为不利。出于实际考虑，我们对住宅、办公和绿化用地进行了聚类分析，提出了提高稳定性的策略。这些结论有助于平衡土地经济效益和城市气候适应能力，指导城市规划和设计应对热浪和寒潮的挑战。

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引用次数: 0

Democratizing air: A co-created citizen science approach to indoor air quality monitoring 空气民主化：共同创建的室内空气质量监测公民科学方法

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

Sustainable Cities and Society

Pub Date : 2024-10-22 DOI: 10.1016/j.scs.2024.105890

Sachit Mahajan , Rosy Mondardini , Dirk Helbing

Indoor air quality (IAQ) is crucial for public health, yet many remain unaware of indoor pollutants. Although Citizen Science has enhanced outdoor air quality understanding, its application to IAQ remains underexplored. This study introduces a new co-creation methodology that addresses key limitations in existing IAQ monitoring practices by integrating value-sensitive design principles and a ‘facilitated emergence’ paradigm. Through three co-creation workshops, we engaged multiple stakeholders in every stage, from problem definition to data interpretation. We employed adaptive facilitation strategies to effectively balance power dynamics among stakeholders, ensuring inclusive decision-making and mitigating potential biases. Our 30-day data collection campaign provided real-time measurements of Particulate Matter (PM) concentrations. Analysis revealed several locations with Indoor/Outdoor (I/O) PM2.5 ratios close to or above 1, uncovering hidden IAQ complexities and emphasizing the need for localized monitoring. We showed how citizen-generated data can improve spatial resolution, detecting local variations missed by official networks. Feedback from the co-creation workshops demonstrated shifts in participants’ perceptions regarding IAQ, accountability, and their role in environmental decision-making, moving from passive awareness to active engagement. Our findings demonstrate how this value-sensitive and community-driven bottom-up approach can enhance air quality assessment, inform targeted IAQ management strategies, and empower citizens in environmental health decisions.

室内空气质量（IAQ）对公众健康至关重要，但许多人仍然不了解室内污染物。虽然 "公民科学 "增强了人们对室外空气质量的了解，但其在室内空气质量方面的应用仍未得到充分探索。本研究引入了一种新的共同创造方法，通过整合价值敏感设计原则和 "促进涌现 "范式，解决了现有室内空气质量监测实践中的主要局限性。通过三次共同创造研讨会，我们让多个利益相关者参与了从问题定义到数据解释的每个阶段。我们采用了适应性促进策略，以有效平衡利益相关者之间的权力动态，确保决策的包容性并减少潜在的偏见。我们为期 30 天的数据收集活动提供了颗粒物 (PM) 浓度的实时测量数据。分析显示，多个地点的室内/室外（I/O）PM2.5 比率接近或超过 1，揭示了隐藏的室内空气质量复杂性，并强调了本地化监测的必要性。我们展示了公民生成的数据如何提高空间分辨率，发现官方网络所忽略的地方变化。共同创造研讨会的反馈表明，参与者对室内空气质量、问责制及其在环境决策中的作用的看法发生了转变，从被动认识转变为主动参与。我们的研究结果表明，这种价值敏感和社区驱动的自下而上的方法可以加强空气质量评估，为有针对性的室内空气质量管理策略提供信息，并增强公民在环境健康决策中的能力。

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引用次数: 0

How does digital technology innovation drive synergies for reducing pollution and carbon emissions? 数字技术创新如何推动减少污染和碳排放的协同效应？

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

Sustainable Cities and Society

Pub Date : 2024-10-22 DOI: 10.1016/j.scs.2024.105932

Yiheng Zhu , Yingqi Xu , Shanggang Yin

Digital technological innovation is a key force in reshaping production and achieving green, low-carbon development, provides new impetus to reducing pollution emissions (PE) and carbon emissions (CE). This study employed the coupled coordination model, panel regression model and spatial Durbin model to examine how the digital technology innovation level (DTIL) and digital technology transfer scale (DTTS) affected synergies for reducing pollution and carbon emissions (PCRS) in the Yangtze River Delta region from 2015 to 2021. The results showed that: The evolution of PCRS is characterized by high synergy cities are increasing, low synergy cities are decreasing, and excellent coordination cities are becoming more concentrated. In the synergistic type migration evolution, the core area primarily ascends; the central and peripheral areas remain mostly stable. The effects of DTIL and DTTS on PCRS follow a non-linear inverted U-shaped pattern. DTIL has a stronger effect on reducing PE, while DTTS tends to increase CE. In terms of spatial spillover effects, DTIL has an inverted U-shaped relationship with PCRS in local regions and a positive spillover effect on neighboring regions; DTTS has a negative impact on PCRS in local regions, but shows an inverted U-shaped relationship in neighboring regions. Both of them also affect PCRS through industrial structure and energy efficiency.

数字技术创新是重塑生产方式、实现绿色低碳发展的关键力量，为减少污染排放（PE）和碳排放（CE）提供了新动力。本研究采用耦合协调模型、面板回归模型和空间杜宾模型，考察了2015-2021年数字技术创新水平（DTIL）和数字技术转移规模（DTTS）对长三角地区污染减排和碳减排协同效应（PCRS）的影响。研究结果表明PCRS的演化特点是高协同城市增加，低协同城市减少，优秀协同城市更加集中。在协同型迁移演化过程中，核心区主要呈上升趋势，中心区和外围区基本保持稳定。DTIL 和 DTTS 对 PCRS 的影响呈非线性倒 U 型。DTIL 对减少 PE 的影响更大，而 DTTS 则倾向于增加 CE。在空间溢出效应方面，DTIL 与本地区域的 PCRS 呈倒 U 型关系，对邻近区域有正向溢出效应；DTTS 对本地区域的 PCRS 有负向影响，但对邻近区域呈倒 U 型关系。二者还通过产业结构和能源效率影响 PCRS。

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