Sustainable Cities and Society最新文献_第2页

Big-data-driven approach and scalable analysis on environmental sustainability of shared micromobility from trip to city level analysis

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2024-09-10 DOI: 10.1016/j.scs.2024.105803

{"title":"Big-data-driven approach and scalable analysis on environmental sustainability of shared micromobility from trip to city level analysis","authors":"","doi":"10.1016/j.scs.2024.105803","DOIUrl":"10.1016/j.scs.2024.105803","url":null,"abstract":"<div><p>Shared e-scooters (SES) have recently gained popularity, but their environmental sustainability remains debatable. This study develops a data-driven and scalable method based on big data and data fusion from multiple sources to comprehensively analyze substitutions and the environmental impacts of SES from trip to city level analysis. Field trip transaction data in three major Swedish cities (Stockholm, Gothenburg, and Malmö) are leveraged for empirical analysis considering mode choice behavior. The results reveal that most SES trips (86.7% in Stockholm, 85.6% in Gothenburg, and 85.3% in Malmö) replace walking or public transport, while the proportion substituting private car and taxis is less than 12%. On average, each SES trip increases in <span><math><msub><mrow><mi>CO</mi></mrow><mrow><mn>2</mn><mo>−</mo><mi>e</mi><mi>q</mi></mrow></msub></math></span> emissions (34.58 g in Stockholm, 21.18 g in Gothenburg, and 24.07 g in Malmö). Only a limited percentage of SES trips (19.20% in Stockholm, 24.22% in Gothenburg, and 23.94% in Malmö) and a small percentage of urban areas with SES (8.3% in Stockholm, 7.48% in Gothenburg, and 2.02% in Malmö) demonstrate positive environmental effects from SES. The substitution and environment impacts of SES vary significantly across different trips spatially and temporally, emphasizing the importance of conducting trip-level analyses. The analysis provides quantitative insights into the sustainability of SES in Nordic contexts, offering potential support for sustainable management in a variety of urban contexts.</p></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":null,"pages":null},"PeriodicalIF":10.5,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2210670724006279/pdfft?md5=0633c09d4abbbd1a0c5bc2b8c0acac74&pid=1-s2.0-S2210670724006279-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142243862","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

Eco-environmental regret-aware optimization of networked multi-energy microgrids with fully carbon elimination and electric vehicles' promotion

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2024-09-10 DOI: 10.1016/j.scs.2024.105807

{"title":"Eco-environmental regret-aware optimization of networked multi-energy microgrids with fully carbon elimination and electric vehicles' promotion","authors":"","doi":"10.1016/j.scs.2024.105807","DOIUrl":"10.1016/j.scs.2024.105807","url":null,"abstract":"<div><p>With the escalating concern of global warming propelled by the rise in Earth's temperature, the need for effective CO<sub>2</sub> management has become crucial. This paper presents an innovative CO<sub>2</sub> elimination approach, wherein a multiple integrated system of energies (MISEs) incorporating sustainable resources, including renewable resources (RENs), plug-in electric vehicles (PEVs), and demand response programs, is optimized. The proposed carbon elimination framework begins by modeling the onsite carbon capturing and recycling within each MISE. To effectively utilize the onsite carbon recycling facilities and achieve carbon neutrality, the proposed model also incorporates carbon transfer capability between MISEs, thereby enhancing the efficiency of overall carbon recycling. Furthermore, a stochastic p-robust optimization technique is proposed to effectively manage uncertainties by combining the advantages of stochastic programming and robust optimization. This uncertainty modeling approach promotes greater utilization of sustainable resources like PEVs and RENs due to their lower operational regrets from economic and environmental perspectives. Based on the simulation results, implementing the p-robust-based regret assessment technique led to the total operation cost increasing by only 2.75 %, while achieving a significant 44.5 % reduction in maximum relative regret. These results underscore the effectiveness of the proposed framework in enhancing both the economic and environmental performance of MISEs.</p></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":null,"pages":null},"PeriodicalIF":10.5,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142243867","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

Impact of green infrastructure on PM10 in port-adjacent residential complexes: A finite volume method-based computational fluid dynamics study

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2024-09-10 DOI: 10.1016/j.scs.2024.105815

{"title":"Impact of green infrastructure on PM10 in port-adjacent residential complexes: A finite volume method-based computational fluid dynamics study","authors":"","doi":"10.1016/j.scs.2024.105815","DOIUrl":"10.1016/j.scs.2024.105815","url":null,"abstract":"<div><p>This study examines the effects of PM<sub>10</sub> reduction by introducing green infrastructure (GI) in residential areas adjacent to ports, where significant pollutant emissions from ships are prevalent. Using finite volume method (FVM)-based computational fluid dynamics (CFD) simulations, we evaluated 30 scenarios based on various GI types and spacings and validated these simulations using observational data. The assessed GI types included trees and shrubs (hedges). Planting configurations were categorized into single (T for trees, H for hedges) and mixed (TH for both trees and hedges) plantings, with one or two rows and spacings of trees from 6 m to 14 m at 2 m intervals. We also considered both aerodynamic and depositional effects as mechanisms for PM<sub>10</sub> reduction by GI. Our results revealed the following: 1) Plant spacing significantly influenced PM<sub>10</sub> reduction, with both excessively narrow and wide spacings being suboptimal. (2) Trees proved to be more effective, whereas combining them with shrubs offers limited advantages. 3) Among the shrubs, the adsorption effect was more influential on PM<sub>10</sub> reduction than the aerodynamic effects. These insights are not limited to port regions but also offer foundational knowledge for enhancing urban air quality, setting the groundwork for subsequent studies.</p></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":null,"pages":null},"PeriodicalIF":10.5,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142243861","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-region models built with machine and deep learning for predicting several heat-related health outcomes

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2024-09-10 DOI: 10.1016/j.scs.2024.105785

{"title":"Multi-region models built with machine and deep learning for predicting several heat-related health outcomes","authors":"","doi":"10.1016/j.scs.2024.105785","DOIUrl":"10.1016/j.scs.2024.105785","url":null,"abstract":"<div><p>As a result of climate change, populations worldwide will be exposed to more heat episodes. To ensure a sustainable future, cutting-edge tools must be developed to predict the health effects of heat and limit its consequences. However, current research has mainly focused on one health outcome in a single city/region, thus providing limited knowledge to improve society's resilience to extreme heat. In this study, a machine learning (ML) framework is introduced to predict several heat-related health outcomes in multiple regions simultaneously, using the province of Quebec (Canada) as a case study. Five ML models including penalized regression, ensemble tree-based models and deep neural networks were considered and compared. Models were trained to predict these health outcomes using various meteorological, regional and temporal predictors across all regions. Our results showed that deep learning models were the most promising, with out-of-sample R<sup>2</sup> of >60 % for most of the studied health outcomes. However, ensemble tree-based approaches also had the best performance for some health outcomes, and were more sensitive to weather variables and to heatwaves. By introducing novel ML-based tools for predicting heat risks in several regions, this study can guide climate change adaptation and help cities and society to become more healthy, resilient and sustainable.</p></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":null,"pages":null},"PeriodicalIF":10.5,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2210670724006097/pdfft?md5=be8455a668f483cfb213c7399790abf2&pid=1-s2.0-S2210670724006097-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142243857","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

User-needs-oriented shared DC charging resources optimal configuration and operation for improving EV penetration in old residential communities 以用户需求为导向，优化配置和运营共享直流充电资源，提高电动汽车在老旧住宅小区的普及率

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2024-09-08 DOI: 10.1016/j.scs.2024.105796

{"title":"User-needs-oriented shared DC charging resources optimal configuration and operation for improving EV penetration in old residential communities","authors":"","doi":"10.1016/j.scs.2024.105796","DOIUrl":"10.1016/j.scs.2024.105796","url":null,"abstract":"<div><p>The charging limitation of electric vehicles (EVs) in old residential communities (ORCs) derived from insufficient electricity capacity and parking spaces significantly impacts residents' quality of life and impedes urban sustainability. Considering economic and social factors, ORCs are likely to persist worldwide for the foreseeable future. To tackle these challenges, this paper proposes the scheme of shared DC fast charging stations to address the EV charging issues in ORCs. Specific methods involve minimizing the charging station spaces and charging infrastructure investment, while optimizing the photovoltaic (PV) and energy storage capacity. Additionally, a coordinated charging strategy based on dynamic price is designed to guide users in choosing the initial charging time, enhancing EV charging infrastructure utilization and EV penetration. This work is predominantly driven by human needs, integrating surveys on human behavior related to charging station locations and charging times. This case study is based on a real-life ORC in Shenzhen, China. By utilizing the proposed dynamic-pricing coordinated charging strategy tailored to the station capacity, the maximum EV penetration rate is to be achieved with satisfying EV charging demand. Furthermore, the implementation of dynamic pricing effectively guides users to adjust charging behavior, achieving the peak-shaving and valley-filling performance of load curves.</p></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":null,"pages":null},"PeriodicalIF":10.5,"publicationDate":"2024-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142168883","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 the combination of urban development models promote carbon productivity? Evidence from an empirical analysis in China 城市发展模式的组合能否促进碳生产力？来自中国实证分析的证据

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2024-09-07 DOI: 10.1016/j.scs.2024.105802

{"title":"Can the combination of urban development models promote carbon productivity? Evidence from an empirical analysis in China","authors":"","doi":"10.1016/j.scs.2024.105802","DOIUrl":"10.1016/j.scs.2024.105802","url":null,"abstract":"<div><p>The combination integration of urban development models (CUDM) emerges as pivotal in aligning economic development with achieving the “dual-carbon” goals. However, existing studies often overlook CUDM's potential for carbon emissions reduction. Multi-period DID models exhibit excellent performance in mitigating endogeneity and eliminating omitted variables. This study examines the impact of the combination integration of innovative and smart city development models (CISDM) on urban carbon productivity, employing a multi-period DID model with data spanning 2006–2019 from Chinese cities. The results indicate that: (1) CISDM significantly enhances urban carbon productivity by 0.2064 units, primarily driven by innovation-induced technological advancements and structural effects. (2) CISDM yields a significant synergistic effect on urban carbon productivity. Compared to single pilot cities, CISDM significantly increases a city's carbon productivity by 0.1854 units. This effect is particularly noticeable when prioritizing “smart” initiatives over innovation. (3) The effect of the CISDM on carbon productivity varies according to city characteristics. While environmental regulations amplify CISDM's positive impact, resource-based cities struggle to harness its effective. This study underscores the potential of leveraging CUDM to promote \"dual-carbon\" objectives, providing valuable insights for policy synergies.</p></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":null,"pages":null},"PeriodicalIF":10.5,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142161714","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

Examining the suitability of the local climate zones (LCZ) framework in informal urban settlements: Insights from Kabul, Afghanistan 考察当地气候区（LCZ）框架在非正规城市住区的适用性：阿富汗喀布尔的启示

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2024-09-07 DOI: 10.1016/j.scs.2024.105797

{"title":"Examining the suitability of the local climate zones (LCZ) framework in informal urban settlements: Insights from Kabul, Afghanistan","authors":"","doi":"10.1016/j.scs.2024.105797","DOIUrl":"10.1016/j.scs.2024.105797","url":null,"abstract":"<div><p>To better investigate the Urban Heat Island (UHI) effect, a standardized framework known as Local Climate Zones (LCZ) has been developed and widely applied to numerous cities. However, cities from least-developed countries with heterogeneous typologies are underrepresented in the LCZ literature. This study assesses the applicability of the LCZ framework in the slum-dominant built-up environment of Kabul. Using a combined method involving GIS and remote sensing, we classified natural and built-type LCZs and analyzed LCZ-LST fluctuations. The analysis revealed that four new subclasses cover 23 % of the built type LCZs: LCZ 3<sub>5</sub> (mid/high-rise buildings within compact lowrise layouts) and LCZ 6<sub>5</sub> (midrise buildings among open lowrise areas) have the lowest LSTs at 34.36 °C and 34.42 °C in July, respectively. In contrast, LCZ 7<sub>3</sub> (two/three-story buildings in lightweight configurations), and LCZ 9<sub>F</sub> (sparse buildings on bare soil or sand) have higher LSTs at 37.2 °C and 38.6 °C in July, respectively. These subclasses showed distinct zone parameter thresholds compared to standard LCZs. In most built-type LCZs, Average Building Height (ABH) and Pervious Surface Fraction (PSF) negatively influenced LST, while impervious surfaces and Sky View Factor contributed to higher LST. Based on the findings, LCZ-specified strategies (Vegetation, urban form, and using high-albedo materials) for LST mitigation are proposed. Furthermore, we provide planning, design, and policy recommendations aimed at mitigating urban heat, with potential applicability to other cities facing rapid urbanization and growth of informal settlements. The findings can inform action toward urban climate change adaptation.</p></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":null,"pages":null},"PeriodicalIF":10.5,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142168882","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

WRF-CFD coupling method to investigate the effect of sea-land breeze on dispersion of time-dependent traffic pollutant at street scales WRF-CFD 耦合方法研究海陆风对街道尺度上随时间变化的交通污染物扩散的影响

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2024-09-06 DOI: 10.1016/j.scs.2024.105762

引用次数: 0

Can app-based communities support energy sufficiency in households? Evidence from a one-year quasi-experiment in Switzerland 基于应用程序的社区能否支持家庭能源自给自足？来自瑞士为期一年的准实验的证据

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2024-09-06 DOI: 10.1016/j.scs.2024.105771

{"title":"Can app-based communities support energy sufficiency in households? Evidence from a one-year quasi-experiment in Switzerland","authors":"","doi":"10.1016/j.scs.2024.105771","DOIUrl":"10.1016/j.scs.2024.105771","url":null,"abstract":"<div><p>App-based interventions are increasingly used to foster energy-sufficient household routines. Previous studies rarely measure whether the effect persists in the long-term, and for the few that have, the savings effects – often estimated without a control group – are not maintained over time. To favour long-lasting effects, we posit that (i) app users should be engaged in the app design, (ii) apps should focus on collective-level features that support community building (rather than individual-level consumption feedback only), and (iii) specific app features are needed in the long-term to resist relapse. We assess the overall effect of these strategies in the “Social Power Plus Community Energy Challenge”, an app-based intervention run in 2022 in Switzerland involving about 200 voluntary households. Quasi-experimental estimates under a weighted Difference-in-Differences approach show that on average the intervention produced nearly 5% energy savings over one full year. However, the effect was higher in the first quarter (up to 11% energy saving), becoming negligible in the last quarters. We reflect on how the three strategies did not ensure long-term effects and recommend future research to further explore the potential of community-based processes, focusing less on apps and more on collectively questioning dominant social norms around household routines.</p></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":null,"pages":null},"PeriodicalIF":10.5,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2210670724005961/pdfft?md5=39def8593bdcf361d3e5ce797bb500ad&pid=1-s2.0-S2210670724005961-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142148459","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

Exploiting temporal features in water resource carrying capacity assessment based on extended VIKOR 在基于扩展 VIKOR 的水资源承载能力评估中利用时间特征

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2024-09-05 DOI: 10.1016/j.scs.2024.105801

{"title":"Exploiting temporal features in water resource carrying capacity assessment based on extended VIKOR","authors":"","doi":"10.1016/j.scs.2024.105801","DOIUrl":"10.1016/j.scs.2024.105801","url":null,"abstract":"<div><p>Investigation of water resources carrying capacity (WRCC) is very important to promote regional high-quality development. However, existing WRCC assessment models overlook the dynamic changes over time, limiting their practical application. This study constructs 15 evaluation index systems, and proposes a time-varying multi-criteria decision-making (MCDM) framework for regional WRCC evaluation, incorporating an obstacle degree model to identify key hindrances. The applicability of the proposed framework is verified by using the Nine Cities of the Pearl River Delta (NCPD) as a typical research area. The findings indicate that: (1) The proposed framework expands the capabilities of existing methods and provides a potential method to grasp the dynamic changes and directions of results over time; (2) The distribution of WRCC in the research region exhibits a pattern of low in the central and high around; (3) Per capita water resources, total water supply, and ecological water use rate are key elements influencing WRCC improvement, with obstacle frequencies over 0.8. Additionally, when the decision-making mechanism coefficient <em>v</em> is [0.3,0.8], the highest status of Zhuahi's WRCC is guaranteed. This work gives a fresh perspective for grasping the temporal dynamic changes of regional WRCC and provides a scientific reference for decision makers to formulate relevant plans.</p></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":null,"pages":null},"PeriodicalIF":10.5,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142168932","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