论文概览 |《Sustainable Cities and Society》2024.10 Vol.113（上）

本次给大家整理的是《Sustainable Cities and Society》杂志2024年10月第113期的论文的题目和摘要，一共包括79篇SCI论文！由于论文过多，我们将通过两篇文章进行介绍，本篇文章介绍第1--第30篇论文!

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论文1

Urban tree cover provides consistent mitigation of extreme heat in arid but not humid cities

城市树木覆盖能够持续缓解干旱城市的极端热量，但对潮湿城市则无效

【摘要】

Urban land cover types influence the urban microclimates. However, recent work indicates the magnitude of land cover's microclimate influence is affected by aridity. Moreover, this variation in cooling and warming potentials of urban land cover types can substantially alter the exposure of urban areas to extreme heat. Our goal is to understand both the relative influences of urban land cover on local air temperature, as well as how these influences vary during periods of extreme heat. To do so we apply predictive machine learning models to an extensive in-situ microclimate and 1 m land cover dataset across eight U.S. cities spanning a wide aridity gradient during typical and extreme heat conditions. We demonstrate how the cooling influence of tree canopy and the warming influence of buildings on microclimate linearly scales with regional aridity, while the influence of turf and impervious surfaces does not. These interactions lead tree canopy to consistently mitigate to air temperature increases during periods extreme heat in arid cities, while the influence of urban tree canopy on extreme heat in humid regions is varied, suggesting that mitigation is possible, but tree canopy can also aggravate extreme heat or have no significant effect.

【摘要翻译】

城市土地覆盖类型会影响城市微气候。然而，最近的研究表明，土地覆盖对微气候影响的强度受干旱程度的影响。此外，城市土地覆盖类型在降温和升温潜力上的差异，可能会显著改变城市区域对极端高温的暴露情况。我们的目标是了解城市土地覆盖对局部气温的相对影响，以及这些影响在极端高温期间如何变化。为此，我们在横跨干旱梯度的八个美国城市中，利用广泛的现场微气候数据和 1 米分辨率的土地覆盖数据，应用了预测性机器学习模型，分析了在典型和极端高温条件下的影响。研究表明，树冠的降温效应和建筑物的升温效应与区域干旱程度呈线性关系，而草坪和不透水表面的影响则没有这种关联。这些互动导致在干旱城市中，树冠能持续缓解极端高温期间的气温上升，而在湿润地区，城市树冠对极端高温的影响有所不同，表明虽然树冠可能具备缓解作用，但在某些情况下也可能加剧极端高温，或没有显著影响。

【doi】

https://doi.org/10.1016/j.scs.2024.105677

【作者信息】

Peter C. Ibsen, 美国地质调查局，地球科学与环境变化科学中心，美国科罗拉多州莱克伍德，pibsen@usgs.gov

Benjamin R. Crawford, 科罗拉多大学丹佛分校，地理与环境科学系，美国科罗拉多州丹佛

Lucila M. Corro, 美国地质调查局，地球科学与环境变化科学中心，美国科罗拉多州莱克伍德

Kenneth J. Bagstad, 美国地质调查局，地球科学与环境变化科学中心，美国科罗拉多州莱克伍德

Brandon E. McNellis, 美国农业部森林服务局，太平洋岛屿林业研究所，美国夏威夷希洛

George D. Jenerette, 加利福尼亚大学河滨分校，植物学与植物科学系，美国加利福尼亚州河滨市

Jay E. Diffendorfer，美国地质调查局，地球科学与环境变化科学中心，美国科罗拉多州莱克伍德

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论文2

Exploring the gradient impact of climate and economic geographical factors on city-level building carbon emissions in China: Characteristics and enlightenments

探索气候和经济地理因素对中国城市层面建筑碳排放的梯度影响：特征与启示

【摘要】

Due to its vast territory, the climatic conditions and socioeconomic development of different regions in China are closely related to geographical location, and their impact on city-level building carbon emissions (BCEs) shows significant spatial differences. Ignoring this difference will hinder the building sector from achieving carbon peak and carbon neutrality goals. This study integrates climate and economic factors into a unified analysis framework from a geographical perspective, uses the global regression model ordinary least squares (OLS), local regression models geographically weighted regression (GWR) and multiscale geographically weighted regression (MGWR) for comparative verification, and explores the gradient impact of China's climate and economic geographical factors on city-level BCEs. Furthermore, BCE reduction policy recommendations for different regions are proposed. The model comparison results show that the effect obtained when using the global regression model to analyze influencing factors related to geographical location may be biased. The local MGWR results show that the impacts of climate geographical factors heating degree days (HDD) and cooling degree days (CDD) on city-level BCEs have obvious north‒south gradient characteristics, while the impacts of economic geographical factors population (P), tertiary industry GDP (GDP3), urbanization rate (UR) and floor area (FR) on city-level BCEs show obvious gradient decreasing characteristics from northeast to southwest. These gradient characteristics cannot be ignored when promoting building carbon emission reduction work. This study expands and deepens the driving mechanism of BCEs and provides a reference for formulating building carbon emission reduction policies based on local conditions.

【摘要翻译】

由于中国幅员辽阔，不同地区的气候条件和社会经济发展与地理位置密切相关，其对城市层面建筑碳排放（BCEs）的影响表现出显著的空间差异。忽视这种差异将阻碍建筑部门实现碳峰值和碳中和目标。本研究从地理学视角将气候和经济因素整合到统一的分析框架中，使用全球回归模型普通最小二乘法（OLS）、局部回归模型地理加权回归（GWR）和多尺度地理加权回归（MGWR）进行对比验证，探讨了中国气候和经济地理因素对城市层面BCEs的梯度影响。此外，提出了针对不同地区的BCE减排政策建议。模型比较结果表明，使用全球回归模型分析与地理位置相关的影响因素可能存在偏差。局部MGWR结果显示，气候地理因素中的采暖度日数（HDD）和制冷度日数（CDD）对城市层面BCEs的影响具有明显的南北梯度特征，而经济地理因素中的人口（P）、第三产业GDP（GDP3）、城市化率（UR）和建筑面积（FR）对城市层面BCEs的影响则呈现出从东北到西南梯度递减的特征。在推动建筑碳排放减排工作时，这些梯度特征不容忽视。本研究拓展和深化了BCEs的驱动机制，并为基于当地条件制定建筑碳排放减排政策提供了参考。

【doi】

https://doi.org/10.1016/j.scs.2024.105637

【作者翻译】

Rui Li，重庆大学管理科学与房地产学院，中国重庆 400044

Yanhui Yu, 重庆大学管理科学与房地产学院，中国重庆 400044

Weiguang Cai，重庆大学管理科学与房地产学院，中国重庆 400044, wgcai@cqu.edu.cn

Yuan Liu, 重庆大学管理科学与房地产学院，中国重庆 400044

Yan Li，重庆大学管理科学与房地产学院，中国重庆 400044

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论文3

Spatial correlation network structure of carbon emission reduction capacity on urban agglomerations and its driving factors: A perspective of Sustainable Development Goals

城市群碳减排能力的空间相关网络结构及其驱动因素：可持续发展目标的视角

【摘要】

Sustainable Development Goal 7 and Goal 13 are important for evaluating carbon emission reduction capacity in urban agglomerations. Exploring the spatial correlation network structures of carbon emission reduction capacity can help synergize carbon reduction actions between cities. Existing research regarding the urban agglomerations to address carbon emission reduction goals has neglected both coordination with Sustainable Development Goals and the impact of spatial correlation network structures. Based on Sustainable Development Goals, an evaluation system of carbon emission reduction capacity is constructed. The characteristics of spatial correlation network structure for carbon emission reduction capacity are described using the social network analysis method. Its driving factors are described using the quadratic assignment procedure method. The Guanzhong Plain urban agglomeration in China is used for validation. The spatial distribution of carbon emission reduction capacity in urban agglomerations is significantly unbalanced, and the spatial correlation network structure follows a stable core-edge pattern. Factors such as differences in technological level, economic level affect the formation of the spatial correlation, but the differences in urbanization level have no significant impact. Countermeasures are proposed to provide a scientific basis for the collaborative management of carbon emission reduction in urban agglomerations.

【摘要翻译】

可持续发展目标 7 和目标 13 对评估城市群的碳减排能力至关重要。探索碳减排能力的空间相关网络结构有助于城市之间的碳减排行动协同。现有研究在解决城市群的碳减排目标时，忽视了与可持续发展目标的协调以及空间相关网络结构的影响。基于可持续发展目标，构建了碳减排能力的评估体系。利用社会网络分析方法描述碳减排能力的空间相关网络结构特征，并使用二次分配程序方法描述其驱动因素。以中国关中平原城市群作为验证。研究表明，城市群碳减排能力的空间分布显著不均衡，空间相关网络结构呈现稳定的核心-边缘模式。技术水平和经济水平的差异影响空间相关的形成，但城市化水平的差异对其没有显著影响。提出了相应对策，以为城市群碳减排的协同管理提供科学依据。

【doi】

https://doi.org/10.1016/j.scs.2024.105646

【作者翻译】Yi Yang, 西安理工大学经济与管理学院，中国西安 710054

Xiaoyuan Su，西安理工大学经济与管理学院，中国西安 710054

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论文4

Decarbonizing cities through electrification: A strategic study for densely built residential districts in Southern Italy

通过电气化实现城市脱碳：意大利南部高密度住宅区的战略研究

【摘要】

This paper presents a strategic analysis of the potential for energy savings and decarbonization in a densely built residential district through the synergistic implementation of electrification and building retrofitting measures. The study specifically focuses on the energy performance achievable when completely electrifying the Heating, Cooling, and Domestic Hot Water (DHW) services of a densely built urban district in Catania (Italy), including more than 200 residential buildings. The research thus models the district's energy systems to assess the impact of various scenarios, which include individual measures tailored for thermal systems as well as a comprehensive approach that combines full electrification, on-site renewable energy integration and building envelope retrofitting. The findings underline the effectiveness of the combined scenario, which results in cancelling natural gas consumption while also reducing by around 57 % the amount of electrical energy purchased from the grid, with a final 70 % decrease in carbon emissions. Of particular relevance is the efficacy of upgrading thermal systems alongside PV system installation, under the hypothesis of creating a stand-alone electric grid for the entire district that can exchange electricity with the existing network when needed. Under these premises, the energy procurement from the electric network can be reduced by 40 %.

【摘要翻译】

本文通过协同实施电气化和建筑改造措施，对密集建成的住宅区节能和脱碳的潜力进行了战略分析。研究重点是完全电气化供暖、制冷和生活热水（DHW）服务时，在意大利卡塔尼亚一个包含200多座住宅建筑的密集建成的城市区域中可实现的能源性能。因此，研究对该区域的能源系统进行了建模，评估了包括针对热系统的个体措施以及全面的电气化、现场可再生能源整合和建筑围护结构改造在内的各种情景的影响。研究结果突出了综合方案的有效性，该方案不仅能够完全取消天然气的使用，还能够减少约57%从电网购买的电能量，最终减少约70%的碳排放。特别值得关注的是在安装光伏系统的同时升级热系统的有效性，假设为整个区域创建一个独立的电网，并在需要时与现有网络交换电力。在这种假设下，来自电网的能源采购量可减少40%。

【doi】

https://doi.org/10.1016/j.scs.2024.105651

【作者翻译】

Vincenzo Costanzo, 意大利卡塔尼亚大学土木工程与建筑系 (DICAR)，地址：via Santa Sofia 64, 95123, Catania, Italy

Francesco Nocera, 意大利卡塔尼亚大学土木工程与建筑系 (DICAR)，地址：via Santa Sofia 64, 95123, Catania, ItalyMaurizio Detommaso, 意大利卡塔尼亚大学电气电子与计算机工程系 (DIEEI)，地址：via Santa Sofia 64, 95123, Catania, ItalyGianpiero Evola，意大利卡塔尼亚大学电气电子与计算机工程系 (DIEEI)，地址：via Santa Sofia 64, 95123, Catania, Italy

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论文5

Quantifying the decarbonization potential of mobile heat battery in low-temperature district heating

量化低温区域集中供热中移动热电池的脱碳潜力

【摘要】

This research assesses the potential of a mobile thermochemical storage system, the mobile heat battery (M-HB), for decarbonizing a low-temperature district heating (DH) system in the Netherlands. The assessment is built on a case study where the M-HB is used to transport waste heat from different sources to a neighborhood interface of a DH system. This case study utilizes a simulation-based methodology to calculate the emissions from grid electricity, DH, and M-HB transport and charging. Building performance simulation is used as the main experimental method in combination with both empirical data and theoretical assumptions. Various system operational strategies and uncertain factors are explored, and waste heat sources are screened by different decarbonization targets. Findings indicate that using the M-HB can reduce the operational carbon emissions by up to 80 %, from approximately 60–70 KgCO2/GJ of the system without M-HB to around 13 KgCO2/GJ in optimal scenarios. Emissions from M-HB transport and charging are identified as more influential to the decarbonization potential than other considered factors, which addresses the significance of choosing proper waste heat sources. Despite some limitations from data availability and assumptions, this work identifies both opportunities and challenges for using M-HB to decarbonize DH systems.

【摘要翻译】

本研究评估了一种移动热化学储能系统——移动热电池（M-HB）在荷兰低温区域供热（DH）系统中实现脱碳的潜力。评估基于一个案例研究，在该研究中，M-HB用于将不同来源的废热运输至区域供热系统的接口。该案例研究采用基于仿真的方法，计算电网电力、区域供热系统以及M-HB运输和充电过程中的碳排放。建筑性能仿真被作为主要实验方法，结合了实测数据和理论假设。研究探索了不同的系统运行策略和不确定因素，并根据不同的脱碳目标筛选了废热源。研究结果表明，使用M-HB可将系统的运行碳排放减少高达80%，从未使用M-HB时的约60-70千克CO2/GJ降至最优情景下的约13千克CO2/GJ。M-HB的运输和充电过程中的排放被认为比其他因素对脱碳潜力的影响更大，这突显了选择合适废热源的重要性。尽管受限于数据可得性和假设，本研究仍识别了利用M-HB为区域供热系统脱碳带来的机遇和挑战。

【doi】

https://doi.org/10.1016/j.scs.2024.105657

【作者翻译】

Shuwei Wang, 荷兰埃因霍温理工大学建筑环境系，埃因霍温，荷兰

Pieter-Jan Hoes, 荷兰埃因霍温理工大学建筑环境系，埃因霍温，荷兰

Jan L.M. Hensen, 荷兰埃因霍温理工大学建筑环境系，埃因霍温，荷兰

Olaf C.G. Adan，荷兰埃因霍温理工大学应用物理系，埃因霍温，荷兰；TNO材料解决方案公司，埃因霍温，荷兰

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论文6

Cross-national examination of facilitators and hindrances to the public acceptance of hydrogen refuelling facilities

跨国研究氢气加注设施公众接受度的促进因素和障碍

【摘要】

Recognising the factors that shape the public acceptance of hydrogen refuelling facilities is essential for gaining social support for the widespread implementation of hydrogen infrastructure. This study applies a cross-national research perspective to investigate the public acceptance of hydrogen refuelling facilities using stated-preference survey data. Moreover, multidimensional explanatory variables encompassing hydrogen energy awareness levels, hydrogen refuelling station configurations, residential characteristics, car ownership and use, and sociodemographics are used to interpret public acceptance. The data revealed that 21.1 %, 45.5 %, and 31.5 % of the respondents in Japan, Spain, and Norway expressed support for such facilities near their residences, respectively. An important discovery was the validation of nonproportional odds in acceptance measurements across countries, which challenges the conventional assumptions of parallel regression and suggests that distinct behavioural determinants shape positive, negative, and neutral attitudes. Consequently, a generalised ordinal logistic regression approach was applied to identify the determinants of varying acceptance levels and mitigate the biases from nonproportional odds. In addition to identifying facilitators and hindrances, the results highlight several predictors with polarising effects. These findings provide public feedback for enhancing the planning of hydrogen infrastructure and offer potential pathways for hydrogen risk communication and policymaking.

【摘要翻译】

识别影响公众接受氢燃料加注设施的因素对于赢得社会对氢能基础设施广泛实施的支持至关重要。本研究采用跨国研究视角，使用陈述偏好调查数据来调查公众对氢燃料加注设施的接受度。此外，还使用多维解释变量，包括氢能认知水平、加氢站配置、居住特征、汽车拥有量和使用情况以及社会人口学特征来解释公众接受度。数据显示，在日本、西班牙和挪威，分别有21.1%、45.5%和31.5%的受访者支持在其居住地附近建设加氢设施。一个重要的发现是各国接受度测量中的非比例性差异得到了验证，这挑战了传统的平行回归假设，并表明不同的行为决定因素影响了正面、负面和中立态度。因此，研究采用了广义有序逻辑回归方法，以识别不同接受度水平的决定因素，并减轻非比例性差异带来的偏差。除了识别出促进因素和阻碍因素外，结果还强调了几个具有极化效应的预测因素。这些研究结果为优化氢能基础设施规划提供了公众反馈，并为氢能风险沟通和政策制定提供了潜在路径。

【doi】

https://doi.org/10.1016/j.scs.2024.105653

【作者翻译】

Ning Huan, 名古屋大学材料与系统可持续性研究所，日本名古屋，464-8603

Toshiyuki Yamamoto, 名古屋大学材料与系统可持续性研究所，日本名古屋，464-8603

Hitomi Sato, 名古屋大学未来社会创新研究所，日本名古屋，464-8603

Roser Sala, 技术与社会研究中心，能源、环境与技术研究中心 (CIEMAT)，巴塞罗那自治大学，西班牙巴塞罗那，08193

Dimitrios Tzioutzios, 挪威科技大学 (NTNU) 机械与工业工程系，挪威特隆