首页 > 最新文献

Sustainable Cities and Society最新文献

英文 中文
Effects of vertical greening on the thermal environment and energy consumption in different street canyons 垂直绿化对不同街道峡谷热环境和能源消耗的影响
IF 10.5 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-11-10 DOI: 10.1016/j.scs.2024.105979
Dongjin Cui , Chang Su , Jian Hang , Mengye Zhu , Guanwen Chen , Cheuk Ming Mak
Vertical greening is vital for energy conservation and urban sustainability. However, previous studies have seldom considered the energy-saving effects of vertical greening within street canyons—an important representative urban model. This study employs ENVI-met and EnergyPlus to evaluate the energy savings of vertical greening in twelve typical street canyon scenarios with varying aspect ratios (H/W = 1, 2, 4) and orientations (North–South, East–West, Northeast–Southwest, Northwest–Southeast). We quantified the relative contributions of building surface temperature reduction (Δ Tse) and air temperature reduction (ΔTa) to overall energy efficiency. Remarkably, our findings reveal that Δ Tse accounts for over 97 % of the total energy-saving contribution—a novel insight contrasting with previous studies that emphasized combined impacts. Additionally, the results indicate that stronger solar radiation in street canyons leads to greater reductions in building surface temperatures. To achieve maximum daily energy savings, the optimal combinations of street orientation and aspect ratio are: North–South orientation when H/W = 1, Southwest–Northeast when H/W = 2, and Northwest–Southeast when H/W = 4. This study is among the first to quantify the combined effects of different street canyon configurations and vertical greening on urban energy savings, providing effective methodologies and new insights for implementing sustainable urban vertical greening.
垂直绿化对节能和城市可持续性至关重要。然而,以往的研究很少考虑街道峡谷--一种重要的代表性城市模型--内垂直绿化的节能效果。本研究采用 ENVI-met 和 EnergyPlus 评估了 12 个典型街道峡谷中不同长宽比(高/宽=1、2、4)和朝向(南北、东西、东北-西南、西北-东南)的垂直绿化节能效果。我们量化了建筑表面温度降低(Δ Tse)和空气温度降低(ΔTa)对整体能效的相对贡献。值得注意的是,我们的研究结果表明,Δ Tse 占总节能贡献的 97% 以上,这与之前强调综合影响的研究形成了鲜明对比。此外,研究结果表明,街道峡谷中更强的太阳辐射会使建筑表面温度降低更多。为了实现最大的日节能效果,街道朝向和高宽比的最佳组合是当高宽比 = 1 时为南北向,当高宽比 = 2 时为西南-东北向,当高宽比 = 4 时为西北-东南向。这项研究首次量化了不同街道峡谷配置和垂直绿化对城市节能的综合影响,为实施可持续的城市垂直绿化提供了有效的方法和新的见解。
{"title":"Effects of vertical greening on the thermal environment and energy consumption in different street canyons","authors":"Dongjin Cui ,&nbsp;Chang Su ,&nbsp;Jian Hang ,&nbsp;Mengye Zhu ,&nbsp;Guanwen Chen ,&nbsp;Cheuk Ming Mak","doi":"10.1016/j.scs.2024.105979","DOIUrl":"10.1016/j.scs.2024.105979","url":null,"abstract":"<div><div>Vertical greening is vital for energy conservation and urban sustainability. However, previous studies have seldom considered the energy-saving effects of vertical greening within street canyons—an important representative urban model. This study employs ENVI-met and EnergyPlus to evaluate the energy savings of vertical greening in twelve typical street canyon scenarios with varying aspect ratios (<em>H/W</em> = 1, 2, 4) and orientations (North–South, East–West, Northeast–Southwest, Northwest–Southeast). We quantified the relative contributions of building surface temperature reduction (Δ <em>T<sub>se</sub></em>) and air temperature reduction (<em>ΔT</em><sub><em>a</em></sub>) to overall energy efficiency. Remarkably, our findings reveal that Δ <em>T<sub>se</sub></em> accounts for over 97 % of the total energy-saving contribution—a novel insight contrasting with previous studies that emphasized combined impacts. Additionally, the results indicate that stronger solar radiation in street canyons leads to greater reductions in building surface temperatures. To achieve maximum daily energy savings, the optimal combinations of street orientation and aspect ratio are: North–South orientation when <em>H/W</em> = 1, Southwest–Northeast when <em>H/W</em> = 2, and Northwest–Southeast when <em>H/W</em> = 4. This study is among the first to quantify the combined effects of different street canyon configurations and vertical greening on urban energy savings, providing effective methodologies and new insights for implementing sustainable urban vertical greening.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"117 ","pages":"Article 105979"},"PeriodicalIF":10.5,"publicationDate":"2024-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Urban form and seasonal PM2.5 dynamics: Enhancing air quality prediction using interpretable machine learning and IoT sensor data 城市形态与 PM2.5 的季节性动态:利用可解释的机器学习和物联网传感器数据加强空气质量预测
IF 10.5 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-11-10 DOI: 10.1016/j.scs.2024.105976
Jeongwoo Lee , Caryl Anne M. Barquilla , Kitae Park , Andy Hong
This study investigates the critical issue of how urban form characteristics influence PM2.5 concentrations, a key concern for public health in densely populated cities. Traditional monitoring methods have faced data gaps and methodological limitations. To address this, we employed interpretable machine learning (ML) models with data from 1,069 Internet-of-Things (IoT) sensors across Seoul, South Korea (September 2020–August 2023). Over 80 urban form variables—including density, transportation, road design, building morphology, and land use—were analyzed using Recursive Feature Elimination to identify key factors affecting PM2.5 concentrations within three buffer zones (300-m, 500-m, 1-km). The random forest model demonstrated the highest accuracy, with an R² of 95 % for autumn and 96 % for spring. Our findings show higher PM2.5 levels in colder months, driven by road width and building density in autumn and traffic and industrial activity in winter. In summer, green spaces and meteorological conditions were primary factors, while spring air quality was notably impacted by localized traffic emissions around highways and bus stops. This study offers robust predictions and actionable insights for urban planning and air quality management. Future research could integrate additional environmental variables and expand sensor coverage to further refine predictive models.
这项研究探讨了城市形态特征如何影响 PM2.5 浓度这一关键问题,PM2.5 浓度是人口稠密城市公共卫生的一个主要问题。传统的监测方法面临数据缺口和方法限制。为解决这一问题,我们利用韩国首尔(2020 年 9 月至 2023 年 8 月)1069 个物联网(IoT)传感器的数据,建立了可解释的机器学习(ML)模型。使用递归特征消除法分析了 80 多个城市形态变量,包括密度、交通、道路设计、建筑形态和土地利用,以确定影响三个缓冲区(300 米、500 米和 1 公里)内 PM2.5 浓度的关键因素。随机森林模型的准确度最高,秋季和春季的 R² 分别为 95% 和 96%。我们的研究结果表明,秋季道路宽度和建筑密度以及冬季交通和工业活动导致寒冷月份的 PM2.5 水平较高。在夏季,绿地和气象条件是主要因素,而春季空气质量则明显受到高速公路和公交车站周围局部交通排放物的影响。这项研究为城市规划和空气质量管理提供了可靠的预测和可行的见解。未来的研究可以整合更多的环境变量,扩大传感器的覆盖范围,以进一步完善预测模型。
{"title":"Urban form and seasonal PM2.5 dynamics: Enhancing air quality prediction using interpretable machine learning and IoT sensor data","authors":"Jeongwoo Lee ,&nbsp;Caryl Anne M. Barquilla ,&nbsp;Kitae Park ,&nbsp;Andy Hong","doi":"10.1016/j.scs.2024.105976","DOIUrl":"10.1016/j.scs.2024.105976","url":null,"abstract":"<div><div>This study investigates the critical issue of how urban form characteristics influence PM<sub>2.5</sub> concentrations, a key concern for public health in densely populated cities. Traditional monitoring methods have faced data gaps and methodological limitations. To address this, we employed interpretable machine learning (ML) models with data from 1,069 Internet-of-Things (IoT) sensors across Seoul, South Korea (September 2020–August 2023). Over 80 urban form variables—including density, transportation, road design, building morphology, and land use—were analyzed using Recursive Feature Elimination to identify key factors affecting PM<sub>2.5</sub> concentrations within three buffer zones (300-m, 500-m, 1-km). The random forest model demonstrated the highest accuracy, with an R² of 95 % for autumn and 96 % for spring. Our findings show higher PM<sub>2.5</sub> levels in colder months, driven by road width and building density in autumn and traffic and industrial activity in winter. In summer, green spaces and meteorological conditions were primary factors, while spring air quality was notably impacted by localized traffic emissions around highways and bus stops. This study offers robust predictions and actionable insights for urban planning and air quality management. Future research could integrate additional environmental variables and expand sensor coverage to further refine predictive models.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"117 ","pages":"Article 105976"},"PeriodicalIF":10.5,"publicationDate":"2024-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Expediting decarbonization in energy, waste, and water sector through digitalization in sustainable smart cities (SSC): Case-studies in Malaysia and China based on Industry 5.0 paradigm 通过可持续智慧城市(SSC)中的数字化,加速能源、废物和水行业的去碳化:基于工业 5.0 范式的马来西亚和中国案例研究
IF 10.5 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-11-09 DOI: 10.1016/j.scs.2024.105969
Kai Chen Goh , Tonni Agustiono Kurniawan , Nadzirah Zainordin , Ika Diyah Candra Arifah , Muhamad Azahar Abas , Md Asrul Nasid Masrom , Sulzakimin Mohamed , Roshartini Omar , Sui Lai Khoo , Hun Chuen Gui , Tien Choon Toh , Choo Wou Onn
This work explores the application of Industry 5.0 principles in smart cities development in Malaysia and China, focusing on digital transformation for sustainable urban development. The study presents case-studies from both the countries, highlighting the implementation strategies, challenges, and outcomes associated with integrating advanced technologies to enhance efficiency, climate resilience, and sustainability. This study aims to develop a data-driven methodology to address the absence of region-specific frameworks for sustainable smart cities (SSCs) and to evaluate their impacts. In Malaysia, the implementation of smart energy management systems that utilize IoT and AI has shown promise in reducing carbon footprints and maximizing resource efficiency. China's focus on smart water management using sensor networks and real-time data analytics provides insights into effective water conservation. Smart waste management systems have increased recycling rates by 20–30 %. Progress is crucial for the region's pursuit of SSCs to reach a global investment of USD 2.5 trillion by 2025. This work concludes by discussing the implications of this work in both countries to achieve sustainable urbanization through Industry 5.0 technologies. This work offers recommendations for policymakers, urban planners, and technologists to navigate the complexities of smart city development, while providing a roadmap to leverage digital transformation to achieve decarbonization goals in energy, waste and water sector by 2060.
本研究探讨了工业 5.0 原则在马来西亚和中国智慧城市发展中的应用,重点关注城市可持续发展的数字化转型。本研究介绍了这两个国家的案例研究,强调了与整合先进技术以提高效率、气候适应力和可持续性相关的实施策略、挑战和成果。本研究旨在开发一种数据驱动的方法,以解决缺乏针对特定地区的可持续智慧城市(SSCs)框架的问题,并评估其影响。在马来西亚,利用物联网和人工智能实施的智能能源管理系统在减少碳足迹和最大限度地提高资源效率方面大有可为。中国注重利用传感器网络和实时数据分析进行智能水管理,为有效节水提供了启示。智能废物管理系统使回收率提高了 20-30%。要在 2025 年实现全球 2.5 万亿美元的投资目标,该地区在追求 SSCs 方面取得进展至关重要。这项工作最后讨论了这项工作对两国通过工业 5.0 技术实现可持续城市化的影响。这项工作为政策制定者、城市规划者和技术专家提供了建议,帮助他们驾驭智能城市发展的复杂性,同时为利用数字化转型在 2060 年前实现能源、废物和水领域的去碳化目标提供了路线图。
{"title":"Expediting decarbonization in energy, waste, and water sector through digitalization in sustainable smart cities (SSC): Case-studies in Malaysia and China based on Industry 5.0 paradigm","authors":"Kai Chen Goh ,&nbsp;Tonni Agustiono Kurniawan ,&nbsp;Nadzirah Zainordin ,&nbsp;Ika Diyah Candra Arifah ,&nbsp;Muhamad Azahar Abas ,&nbsp;Md Asrul Nasid Masrom ,&nbsp;Sulzakimin Mohamed ,&nbsp;Roshartini Omar ,&nbsp;Sui Lai Khoo ,&nbsp;Hun Chuen Gui ,&nbsp;Tien Choon Toh ,&nbsp;Choo Wou Onn","doi":"10.1016/j.scs.2024.105969","DOIUrl":"10.1016/j.scs.2024.105969","url":null,"abstract":"<div><div>This work explores the application of Industry 5.0 principles in smart cities development in Malaysia and China, focusing on digital transformation for sustainable urban development. The study presents case-studies from both the countries, highlighting the implementation strategies, challenges, and outcomes associated with integrating advanced technologies to enhance efficiency, climate resilience, and sustainability. This study aims to develop a data-driven methodology to address the absence of region-specific frameworks for sustainable smart cities (SSCs) and to evaluate their impacts. In Malaysia, the implementation of smart energy management systems that utilize IoT and AI has shown promise in reducing carbon footprints and maximizing resource efficiency. China's focus on smart water management using sensor networks and real-time data analytics provides insights into effective water conservation. Smart waste management systems have increased recycling rates by 20–30 %. Progress is crucial for the region's pursuit of SSCs to reach a global investment of USD 2.5 trillion by 2025. This work concludes by discussing the implications of this work in both countries to achieve sustainable urbanization through Industry 5.0 technologies. This work offers recommendations for policymakers, urban planners, and technologists to navigate the complexities of smart city development, while providing a roadmap to leverage digital transformation to achieve decarbonization goals in energy, waste and water sector by 2060.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"117 ","pages":"Article 105969"},"PeriodicalIF":10.5,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142662823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Exploring the influence of block environmental characteristics on land surface temperature and its spatial heterogeneity for a high-density city 探索高密度城市街区环境特征对地表温度的影响及其空间异质性
IF 10.5 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-11-09 DOI: 10.1016/j.scs.2024.105973
Yang Wan , Han Du , Lei Yuan , Xuesong Xu , Haida Tang , Jianfeng Zhang
A fundamental understanding of the spatial change trends and driving mechanisms of land surface temperature (LST) under urbanization is a prerequisite for the development of effective strategies to mitigate the urban heat island effect. In this study, the built-up blocks of Shenzhen, a high-density city in China, were selected as the unit of analysis. Multi-source datasets were utilized to calculate a total of 44 environmental characteristic indicators, covering four categories. In order to comprehensively analyze the influence of each environmental feature indicator on LST and spatial heterogeneity, MLR, XGBoost and MGWR models were constructed. Furthermore, the nonlinear relationship between the variables was investigated using the SHAP method. The results demonstrated that the predictive efficacy of the MGWR and XGBoost models was markedly superior to that of the MLR model. The percentage cover of forest, the average elevation, NDVI, the frontal area index and the standard deviation of building height were identified as the primary determinants of the LST. These factors account for >52 % to the explanation of the LST distribution. The effects of the majority of landscape pattern, building form and street view indicators on LST exhibited spatial heterogeneity. Furthermore, the indicators also showed nonlinear patterns and threshold effects on LST. The findings offer valuable insights for enhancing the urban thermal environment, particularly in high-density urban areas.
从根本上了解城市化进程中地表温度(LST)的空间变化趋势和驱动机制,是制定有效战略缓解城市热岛效应的前提条件。本研究选取中国高密度城市深圳的建成区作为分析单元。利用多源数据集,计算出涵盖四大类共 44 个环境特征指标。为了全面分析各环境特征指标对 LST 和空间异质性的影响,建立了 MLR、XGBoost 和 MGWR 模型。此外,还利用 SHAP 方法研究了变量之间的非线性关系。结果表明,MGWR 和 XGBoost 模型的预测效果明显优于 MLR 模型。森林覆盖率、平均海拔、NDVI、正面面积指数和建筑物高度标准偏差被确定为 LST 的主要决定因素。这些因素占 LST 分布解释的 52%。大部分景观格局、建筑形态和街景指标对 LST 的影响表现出空间异质性。此外,这些指标对 LST 的影响还表现出非线性模式和阈值效应。研究结果为改善城市热环境,尤其是高密度城市地区的热环境提供了宝贵的启示。
{"title":"Exploring the influence of block environmental characteristics on land surface temperature and its spatial heterogeneity for a high-density city","authors":"Yang Wan ,&nbsp;Han Du ,&nbsp;Lei Yuan ,&nbsp;Xuesong Xu ,&nbsp;Haida Tang ,&nbsp;Jianfeng Zhang","doi":"10.1016/j.scs.2024.105973","DOIUrl":"10.1016/j.scs.2024.105973","url":null,"abstract":"<div><div>A fundamental understanding of the spatial change trends and driving mechanisms of land surface temperature (LST) under urbanization is a prerequisite for the development of effective strategies to mitigate the urban heat island effect. In this study, the built-up blocks of Shenzhen, a high-density city in China, were selected as the unit of analysis. Multi-source datasets were utilized to calculate a total of 44 environmental characteristic indicators, covering four categories. In order to comprehensively analyze the influence of each environmental feature indicator on LST and spatial heterogeneity, MLR, XGBoost and MGWR models were constructed. Furthermore, the nonlinear relationship between the variables was investigated using the SHAP method. The results demonstrated that the predictive efficacy of the MGWR and XGBoost models was markedly superior to that of the MLR model. The percentage cover of forest, the average elevation, NDVI, the frontal area index and the standard deviation of building height were identified as the primary determinants of the LST. These factors account for &gt;52 % to the explanation of the LST distribution. The effects of the majority of landscape pattern, building form and street view indicators on LST exhibited spatial heterogeneity. Furthermore, the indicators also showed nonlinear patterns and threshold effects on LST. The findings offer valuable insights for enhancing the urban thermal environment, particularly in high-density urban areas.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"118 ","pages":"Article 105973"},"PeriodicalIF":10.5,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142704418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Understanding how digital infrastructure construction could promote sustainable development 了解数字基础设施建设如何促进可持续发展
IF 10.5 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-11-09 DOI: 10.1016/j.scs.2024.105977
Zihao Ma, Pingdan Zhang
Progress made in environmental protection may negatively affect regional socioeconomic development, reducing or impairing the ability of local economic systems to defend against external shocks, culminating in weakened economic resilience. Implementing carbon abatement programs without risking economic resilience is therefore an urgent problem for the international community, especially for its emerging national economies. Digital infrastructure construction (DIC), as a driving force of technological progress and structural transformation, may offer a viable solution to that problem. Here, we used county-level data for China, the biggest emerging economy in the world, to investigate whether and how Smart City Pilot policy (SCP, a policy close to DIC) has lowered regional carbon emissions and influenced economic resilience. We find that the SCP could significantly promote carbon abatement goals, and this result is robust under several tests. Further, chain-based mediating effect analysis revealed that the SCP's beneficial impact could have arisen by first promoting innovation and then productivity, and public concern acting as a stressor that pressures officials to engage in environmental governance. Furthermore, our results show the SCP is capable of bolstering regional economic resilience, and could even offset or negate the adverse effects of strict environmental regulation on that resilience. However, the positive effects of the SCP on carbon abatement in China's developed counties, or ones located in a resources-based city, were not significant. Altogether, our empirical results highlight how DIC can serve as a way to help achieve sustainable development, but more studies on its contributing role are clearly needed.
在环境保护方面取得的进展可能会对地区社会经济发展产生负面影响,降低或损害当地经济体系抵御外部冲击的能力,最终导致经济恢复能力减弱。因此,如何在不危及经济恢复能力的前提下实施碳减排计划,是国际社会,尤其是新兴国家经济体亟待解决的问题。数字基础设施建设(DIC)作为技术进步和结构转型的推动力,或许可以为这一问题提供可行的解决方案。在此,我们利用世界上最大的新兴经济体中国的县级数据,研究智慧城市试点政策(SCP,一种接近于 DIC 的政策)是否以及如何降低了地区碳排放并影响了经济韧性。我们发现,智慧城市试点政策能显著促进碳减排目标的实现,而且这一结果在多种检验中都是稳健的。此外,基于链的中介效应分析表明,SCP 的有利影响可能首先来自于促进创新,然后是生产力,而公众的关注则是一种压力源,迫使官员参与环境治理。此外,我们的研究结果表明,SCP 能够增强区域经济的韧性,甚至可以抵消或消除严格的环境监管对这种韧性的不利影响。然而,在中国的发达县或资源型城市,SCP 对碳减排的积极影响并不显著。总之,我们的实证结果凸显了 DIC 如何成为实现可持续发展的一种途径,但显然还需要对其促进作用进行更多的研究。
{"title":"Understanding how digital infrastructure construction could promote sustainable development","authors":"Zihao Ma,&nbsp;Pingdan Zhang","doi":"10.1016/j.scs.2024.105977","DOIUrl":"10.1016/j.scs.2024.105977","url":null,"abstract":"<div><div>Progress made in environmental protection may negatively affect regional socioeconomic development, reducing or impairing the ability of local economic systems to defend against external shocks, culminating in weakened economic resilience. Implementing carbon abatement programs without risking economic resilience is therefore an urgent problem for the international community, especially for its emerging national economies. Digital infrastructure construction (DIC), as a driving force of technological progress and structural transformation, may offer a viable solution to that problem. Here, we used county-level data for China, the biggest emerging economy in the world, to investigate whether and how Smart City Pilot policy (SCP, a policy close to DIC) has lowered regional carbon emissions and influenced economic resilience. We find that the SCP could significantly promote carbon abatement goals, and this result is robust under several tests. Further, chain-based mediating effect analysis revealed that the SCP's beneficial impact could have arisen by first promoting innovation and then productivity, and public concern acting as a stressor that pressures officials to engage in environmental governance. Furthermore, our results show the SCP is capable of bolstering regional economic resilience, and could even offset or negate the adverse effects of strict environmental regulation on that resilience. However, the positive effects of the SCP on carbon abatement in China's developed counties, or ones located in a resources-based city, were not significant. Altogether, our empirical results highlight how DIC can serve as a way to help achieve sustainable development, but more studies on its contributing role are clearly needed.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"117 ","pages":"Article 105977"},"PeriodicalIF":10.5,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A two-stage coordinated restoration scheme of hybrid AC/DC distribution grid considering cold load pickup and resilience enhancement 交直流混合配电网两阶段协调恢复方案(考虑冷负荷拾取和提高恢复能力
IF 10.5 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-11-08 DOI: 10.1016/j.scs.2024.105959
Hang Yu , Fu Xiao , Hanbei Zhang , Wei Liao , Yanxue Li
The ever-increasingly severe weather events have elevated the quest for resilience in distribution grids. Cold load pickup (CLPU), a common occurrence in buildings with thermostatically controlled loads (TCLs), generates a significant peak power demand when loads restart. With widespread TCLs distribution, the restoration speed and power level could be impacted by the conventional grid restoration scheme due to limited distribution generator (DG) capability and power supply paths. In this context, this paper proposes a two-stage coordinated restoration scheme based on the novel hybrid AC/DC distribution grid, encompassing the grid configuration level, information interaction level, and designed restoration flow. The typical delayed exponential model is used to characterize CLPU properties during extended outages. In the 1st stage, the contained coordinated restoration strategy decides the optimal load restoration sequence with CLPU concerned. Then, the grid loss optimization is carried out in stage 2 to generate the proper power reference for DGs and voltage source converters (VSCs) of hybrid grids. In case studies, four types of heterogeneous buildings with varied CLPU characteristics are deployed in the analyzed grid. It is verified that the proposed scheme could make effective aggregation and dispatching for multiple DGs, achieving an additional 11.3 h of total load support, a 16.5 % increase of DG utilization and an 11.7 % enhancement of the resilience index compared to the conventional restoration scheme. Furthermore, this scheme demonstrates adaptability for resilience improvement under varied temperatures and fault locations.
越来越严重的天气事件提高了对配电网恢复能力的要求。冷负荷启动(CLPU)是带有恒温控制负载(TCL)的建筑物中经常出现的情况,当负载重新启动时会产生巨大的峰值电力需求。在 TCL 分布广泛的情况下,由于配电发电机 (DG) 能力和供电路径有限,传统的电网恢复方案可能会影响恢复速度和功率水平。在此背景下,本文提出了一种基于新型交直流混合配电网的两阶段协调恢复方案,包括电网配置层面、信息交互层面和设计的恢复流程。本文采用典型的延迟指数模型来表征延长停电期间的中电联特性。在第一阶段,包含的协调恢复策略决定了与中电网有关的最佳负荷恢复顺序。然后,在第 2 阶段进行电网损耗优化,为混合电网的 DG 和电压源变流器(VSC)生成适当的功率参考。在案例研究中,在分析的电网中部署了四种具有不同 CLPU 特性的异构建筑物。结果表明,与传统的恢复方案相比,所提出的方案可以对多个风电机组进行有效的聚合和调度,实现额外 11.3 小时的总负荷支持,风电机组利用率提高了 16.5%,弹性指数提高了 11.7%。此外,该方案还展示了在不同温度和故障位置下提高恢复能力的适应性。
{"title":"A two-stage coordinated restoration scheme of hybrid AC/DC distribution grid considering cold load pickup and resilience enhancement","authors":"Hang Yu ,&nbsp;Fu Xiao ,&nbsp;Hanbei Zhang ,&nbsp;Wei Liao ,&nbsp;Yanxue Li","doi":"10.1016/j.scs.2024.105959","DOIUrl":"10.1016/j.scs.2024.105959","url":null,"abstract":"<div><div>The ever-increasingly severe weather events have elevated the quest for resilience in distribution grids. Cold load pickup (CLPU), a common occurrence in buildings with thermostatically controlled loads (TCLs), generates a significant peak power demand when loads restart. With widespread TCLs distribution, the restoration speed and power level could be impacted by the conventional grid restoration scheme due to limited distribution generator (DG) capability and power supply paths. In this context, this paper proposes a two-stage coordinated restoration scheme based on the novel hybrid AC/DC distribution grid, encompassing the grid configuration level, information interaction level, and designed restoration flow. The typical delayed exponential model is used to characterize CLPU properties during extended outages. In the 1st stage, the contained coordinated restoration strategy decides the optimal load restoration sequence with CLPU concerned. Then, the grid loss optimization is carried out in stage 2 to generate the proper power reference for DGs and voltage source converters (VSCs) of hybrid grids. In case studies, four types of heterogeneous buildings with varied CLPU characteristics are deployed in the analyzed grid. It is verified that the proposed scheme could make effective aggregation and dispatching for multiple DGs, achieving an additional 11.3 h of total load support, a 16.5 % increase of DG utilization and an 11.7 % enhancement of the resilience index compared to the conventional restoration scheme. Furthermore, this scheme demonstrates adaptability for resilience improvement under varied temperatures and fault locations.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"117 ","pages":"Article 105959"},"PeriodicalIF":10.5,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Can smart cities improve energy resilience? Evidence from 229 cities in China 智慧城市能否提高能源适应能力?来自中国 229 个城市的证据
IF 10.5 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-11-08 DOI: 10.1016/j.scs.2024.105971
Zhen Wang , Yu Hao
Energy security is a crucial component of national economic stability and growth. Given current technological limitations, improving management strategies is essential for safeguarding energy resources. Digital technologies play a pivotal role in enhancing management efficiency, thus contributing to energy security. As a key element of modernization, smart cities leverage digital solutions to drive urban development and have the potential to catalyze an energy revolution. Nevertheless, the relationship between energy security and smart cities remains underexplored, creating gaps in policy-making and implementation. This study, leveraging the smart city pilot policies enacted in 2012, 2013, and 2015, utilizes a sample of 229 prefecture-level cities covering the period from 2010 to 2020. Employing the Propensity Score Matched Difference-in-Differences (PSM-DID) model, the research assesses smart city policies’ impact on energy resilience. The results show that smart city policies significantly enhance energy resilience through three separate pathways: optimizing resource allocation, upgrading industrial structure, and promoting technological progress. Notably, smart city polices have more beneficial effects on the city characterized by low fiscal expenditure, being populous, resource-based, having high human capital, and being located in eastern region. This study aids in the improvement and promotion of smart city policies, thereby enhancing energy resilience and achieving sustainable urban development.
能源安全是国家经济稳定和增长的重要组成部分。鉴于当前技术的局限性,改进管理策略对保障能源资源至关重要。数字技术在提高管理效率方面发挥着举足轻重的作用,从而为能源安全做出贡献。作为现代化的关键因素,智慧城市利用数字解决方案推动城市发展,并有可能催生能源革命。然而,能源安全与智慧城市之间的关系仍未得到充分探索,从而在政策制定和实施方面造成了差距。本研究利用 2012 年、2013 年和 2015 年颁布的智慧城市试点政策,以 229 个地级市为样本,时间跨度为 2010 年至 2020 年。研究采用倾向得分匹配差分(PSM-DID)模型,评估了智慧城市政策对能源抵御能力的影响。研究结果表明,智慧城市政策通过优化资源配置、升级产业结构和促进技术进步三条途径显著增强了能源抵御能力。值得注意的是,智慧城市政策对财政支出低、人口多、资源型、人力资本高、地处东部地区的城市更有利。本研究有助于完善和推广智慧城市政策,从而提高能源抵御能力,实现城市可持续发展。
{"title":"Can smart cities improve energy resilience? Evidence from 229 cities in China","authors":"Zhen Wang ,&nbsp;Yu Hao","doi":"10.1016/j.scs.2024.105971","DOIUrl":"10.1016/j.scs.2024.105971","url":null,"abstract":"<div><div>Energy security is a crucial component of national economic stability and growth. Given current technological limitations, improving management strategies is essential for safeguarding energy resources. Digital technologies play a pivotal role in enhancing management efficiency, thus contributing to energy security. As a key element of modernization, smart cities leverage digital solutions to drive urban development and have the potential to catalyze an energy revolution. Nevertheless, the relationship between energy security and smart cities remains underexplored, creating gaps in policy-making and implementation. This study, leveraging the smart city pilot policies enacted in 2012, 2013, and 2015, utilizes a sample of 229 prefecture-level cities covering the period from 2010 to 2020. Employing the Propensity Score Matched Difference-in-Differences (PSM-DID) model, the research assesses smart city policies’ impact on energy resilience. The results show that smart city policies significantly enhance energy resilience through three separate pathways: optimizing resource allocation, upgrading industrial structure, and promoting technological progress. Notably, smart city polices have more beneficial effects on the city characterized by low fiscal expenditure, being populous, resource-based, having high human capital, and being located in eastern region. This study aids in the improvement and promotion of smart city policies, thereby enhancing energy resilience and achieving sustainable urban development.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"117 ","pages":"Article 105971"},"PeriodicalIF":10.5,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142703239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multi-scale effects of LCZ and urban green infrastructure on diurnal land surface temperature dynamics 低碳区和城市绿色基础设施对昼夜地表温度动态的多尺度影响
IF 10.5 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-11-07 DOI: 10.1016/j.scs.2024.105945
Yuxin Yan, Wenchen Jian, Boya Wang, Zhicheng Liu
The impact of urban green infrastructure (UGI) on land surface temperature (LST) has been widely discussed as a strategy to improve urban thermal environments. However, most studies have focused primarily on daytime conditions. Due to the limitations of polar-orbiting satellites like the Landsat series, the influence of UGI on LST over a 24-hour cycle remains unclear. To assess the relative influence and interdependence of UGI characteristics on LST across four different grid scales over the diurnal cycle, this study, conducted within Beijing's Fifth Ring Road during the summer, utilized a random forest (RF) regression model. The results indicate that: (1) UGI's impact on LST follows two distinct patterns: daytime (morning and afternoon) and non-daytime (night and dawn), which indicates the intensity of sunlight as a key driving factor; (2) tree landscape pattern indices are the most significant factors affecting LST; (3) during non-daytime periods (night and dawn), cropland's cooling effect is equally important as that of trees. These findings are valuable for prioritizing and strategically placing different types of UGI in urban planning. However, as this study focuses on a specific area, future research should include comparative studies in cities with different climatic conditions.
作为改善城市热环境的一种策略,城市绿色基础设施(UGI)对地表温度(LST)的影响已被广泛讨论。不过,大多数研究主要集中在白天的情况。由于 Landsat 系列等极轨卫星的局限性,UGI 在 24 小时周期内对 LST 的影响仍不明确。为了评估昼夜周期内四个不同网格尺度的 UGI 特征对 LST 的相对影响和相互依存关系,本研究于夏季在北京五环路内进行,采用了随机森林(RF)回归模型。结果表明(1)UGI 对 LST 的影响有两种不同的模式:日间(上午和下午)和非日间(夜间和黎明),这表明日照强度是关键的驱动因素;(2)树木景观模式指数是影响 LST 的最重要因素;(3)在非日间时段(夜间和黎明),耕地的降温效应与树木的降温效应同等重要。这些研究结果对于在城市规划中确定不同类型城市温室气体排放的优先次序和战略布局非常有价值。不过,由于本研究侧重于特定地区,未来的研究应包括不同气候条件城市的比较研究。
{"title":"Multi-scale effects of LCZ and urban green infrastructure on diurnal land surface temperature dynamics","authors":"Yuxin Yan,&nbsp;Wenchen Jian,&nbsp;Boya Wang,&nbsp;Zhicheng Liu","doi":"10.1016/j.scs.2024.105945","DOIUrl":"10.1016/j.scs.2024.105945","url":null,"abstract":"<div><div>The impact of urban green infrastructure (UGI) on land surface temperature (LST) has been widely discussed as a strategy to improve urban thermal environments. However, most studies have focused primarily on daytime conditions. Due to the limitations of polar-orbiting satellites like the Landsat series, the influence of UGI on LST over a 24-hour cycle remains unclear. To assess the relative influence and interdependence of UGI characteristics on LST across four different grid scales over the diurnal cycle, this study, conducted within Beijing's Fifth Ring Road during the summer, utilized a random forest (RF) regression model. The results indicate that: (1) UGI's impact on LST follows two distinct patterns: daytime (morning and afternoon) and non-daytime (night and dawn), which indicates the intensity of sunlight as a key driving factor; (2) tree landscape pattern indices are the most significant factors affecting LST; (3) during non-daytime periods (night and dawn), cropland's cooling effect is equally important as that of trees. These findings are valuable for prioritizing and strategically placing different types of UGI in urban planning. However, as this study focuses on a specific area, future research should include comparative studies in cities with different climatic conditions.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"117 ","pages":"Article 105945"},"PeriodicalIF":10.5,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The impact of agglomeration on CO2 emissions in China's transport sector: A spatial econometric analysis 集聚对中国交通运输业二氧化碳排放的影响:空间计量经济学分析
IF 10.5 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-11-06 DOI: 10.1016/j.scs.2024.105966
Puju Cao , Zhao Liu , Huan Zhang , Lanye Wei
The long-term processes of urbanization and industrialization have led to the agglomeration of population and industry, fostering economic development while introducing opportunities and challenges for carbon reduction in transport. This paper integrates the Stochastic Impacts by Regression on Population, Affluence, and Technology Model with the Spatial Durbin Model to assess the effects of population agglomeration and industrial agglomeration on transport carbon dioxide emissions. The empirical results show that a 1% increase in population agglomeration decreases local transport carbon dioxide emissions by 1.7065% and generates a spillover effect of 1.0542% in surrounding areas. In contrast, industrial agglomeration increases regional transport carbon dioxide emissions by an average of 0.3308% without significant spillover effects. Furthermore, economic agglomeration exhibits an N-shaped relationship with transport carbon dioxide emissions, reflecting the dual influences of the "economic effect" and the "congestion effect". Mechanism analysis reveals that both types of agglomeration can modulate the impact of infrastructure development on transport carbon dioxide emissions, suggesting that effective infrastructure planning can help alleviate the negative environmental impacts. This study provides a spatial mode for understanding the synergistic effects of population planning, industrial development, and environmental improvement, offering significant reference value for policymakers in the decision-making related to low-carbon transport development.
城市化和工业化的长期进程导致了人口和产业的聚集,在促进经济发展的同时,也为交通减碳带来了机遇和挑战。本文将人口、富裕程度和技术回归随机影响模型与空间杜宾模型相结合,评估了人口集聚和产业集聚对交通二氧化碳排放的影响。实证结果显示,人口集聚每增加 1%,当地的交通二氧化碳排放量就会减少 1.7065%,并对周边地区产生 1.0542%的溢出效应。相比之下,产业集聚平均增加 0.3308%的区域交通二氧化碳排放量,但没有显著的溢出效应。此外,经济集聚与交通二氧化碳排放呈 N 型关系,反映了 "经济效应 "和 "拥堵效应 "的双重影响。机制分析表明,这两种集聚类型都能调节基础设施发展对交通二氧化碳排放的影响,表明有效的基础设施规划有助于减轻对环境的负面影响。本研究为理解人口规划、产业发展和环境改善的协同效应提供了一种空间模式,为决策者在低碳交通发展相关决策中提供了重要的参考价值。
{"title":"The impact of agglomeration on CO2 emissions in China's transport sector: A spatial econometric analysis","authors":"Puju Cao ,&nbsp;Zhao Liu ,&nbsp;Huan Zhang ,&nbsp;Lanye Wei","doi":"10.1016/j.scs.2024.105966","DOIUrl":"10.1016/j.scs.2024.105966","url":null,"abstract":"<div><div>The long-term processes of urbanization and industrialization have led to the agglomeration of population and industry, fostering economic development while introducing opportunities and challenges for carbon reduction in transport. This paper integrates the Stochastic Impacts by Regression on Population, Affluence, and Technology Model with the Spatial Durbin Model to assess the effects of population agglomeration and industrial agglomeration on transport carbon dioxide emissions. The empirical results show that a 1% increase in population agglomeration decreases local transport carbon dioxide emissions by 1.7065% and generates a spillover effect of 1.0542% in surrounding areas. In contrast, industrial agglomeration increases regional transport carbon dioxide emissions by an average of 0.3308% without significant spillover effects. Furthermore, economic agglomeration exhibits an N-shaped relationship with transport carbon dioxide emissions, reflecting the dual influences of the \"economic effect\" and the \"congestion effect\". Mechanism analysis reveals that both types of agglomeration can modulate the impact of infrastructure development on transport carbon dioxide emissions, suggesting that effective infrastructure planning can help alleviate the negative environmental impacts. This study provides a spatial mode for understanding the synergistic effects of population planning, industrial development, and environmental improvement, offering significant reference value for policymakers in the decision-making related to low-carbon transport development.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"117 ","pages":"Article 105966"},"PeriodicalIF":10.5,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Sustainable urban digital innovation: A socio-technical competency-based approach to evaluation 可持续的城市数字创新:基于社会技术能力的评估方法
IF 10.5 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-11-06 DOI: 10.1016/j.scs.2024.105946
Ahmad Helmi , Viviana Bastidas , Kwadwo Oti-Sarpong , Jennifer Schooling
This study explores the leadership competencies required in practice by city planners and managers in smart city projects focusing on environmental urban sustainability. Although the literature notes that urban technologies and their capabilities can help address sustainability challenges in cities, there is a lack of studies exploring the competency requirements necessary to foster leadership capacity. This paper identifies leadership competencies within four real-world case studies in the urban built environment, guided by a socio-technical competency framework (DC2-CF). The selected case studies represent a diverse set of city planning purposes, geographic regions, various levels of spatial scale, and socio-technical elements of digital innovation. In these case studies, city managers exhibit specific competencies to develop digital innovation projects that uphold and advance urban sustainability. The study demonstrates the relevance and practical application of DC2-CF as a valuable tool to identify competency needs for local public, private, and community stakeholders throughout diverse stages of the urban digital innovation process. The findings suggest the complex relationship between competencies and project delivery, stressing variations in how they are utilised across various projects. Drawing from these key results, this paper provides practical recommendations for city professionals, guiding them in leading climate-friendly and sustainable urban digital innovation.
本研究探讨了以城市环境可持续性为重点的智慧城市项目中,城市规划者和管理者在实践中需要具备的领导能力。尽管文献指出城市技术及其能力有助于应对城市的可持续发展挑战,但缺乏对培养领导能力所需的能力要求进行探讨的研究。本文以社会技术能力框架(DC2-CF)为指导,在城市建筑环境的四个实际案例研究中确定了领导能力。所选案例研究代表了不同的城市规划目的、地理区域、不同层次的空间尺度以及数字创新的社会技术要素。在这些案例研究中,城市管理者展示了开发数字创新项目的特定能力,以维护和推进城市的可持续发展。这项研究表明,DC2-CF 作为一种有价值的工具,可以在城市数字创新过程的各个阶段确定当地公共、私人和社区利益相关者的能力需求,具有现实意义和实际应用价值。研究结果表明了能力与项目交付之间的复杂关系,并强调了不同项目在利用能力方面的差异。根据这些关键结果,本文为城市专业人员提供了实用建议,指导他们引领气候友好型和可持续城市数字化创新。
{"title":"Sustainable urban digital innovation: A socio-technical competency-based approach to evaluation","authors":"Ahmad Helmi ,&nbsp;Viviana Bastidas ,&nbsp;Kwadwo Oti-Sarpong ,&nbsp;Jennifer Schooling","doi":"10.1016/j.scs.2024.105946","DOIUrl":"10.1016/j.scs.2024.105946","url":null,"abstract":"<div><div>This study explores the leadership competencies required in practice by city planners and managers in smart city projects focusing on environmental urban sustainability. Although the literature notes that urban technologies and their capabilities can help address sustainability challenges in cities, there is a lack of studies exploring the competency requirements necessary to foster leadership capacity. This paper identifies leadership competencies within four real-world case studies in the urban built environment, guided by a socio-technical competency framework (DC2-CF). The selected case studies represent a diverse set of city planning purposes, geographic regions, various levels of spatial scale, and socio-technical elements of digital innovation. In these case studies, city managers exhibit specific competencies to develop digital innovation projects that uphold and advance urban sustainability. The study demonstrates the relevance and practical application of DC2-CF as a valuable tool to identify competency needs for local public, private, and community stakeholders throughout diverse stages of the urban digital innovation process. The findings suggest the complex relationship between competencies and project delivery, stressing variations in how they are utilised across various projects. Drawing from these key results, this paper provides practical recommendations for city professionals, guiding them in leading climate-friendly and sustainable urban digital innovation.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"117 ","pages":"Article 105946"},"PeriodicalIF":10.5,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
Sustainable Cities and Society
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1