Sustainable Cities and Society最新文献

{"title":"A six - stage evaluation model for optimizing urban EV charging and swapping station locations","authors":"Jianming Cai ,&nbsp;Yanzi Xiao ,&nbsp;Yaxin Wang ,&nbsp;Ruiting Cai","doi":"10.1016/j.scs.2025.106342","DOIUrl":"10.1016/j.scs.2025.106342","url":null,"abstract":"<div><div>This study proposes a Six-Stage Evaluation Model, integrating fuzzy DEMATEL and an enhanced MultiMOORA-Borda algorithm for the siting of charging and swapping stations. Applied to Changsha City, the fuzzy DEMATEL method identifies construction cost and annual operation and maintenance costs as primary drivers, with smart grid coordination and horizontal dispatch efficiency as balancing factors. The MultiMOORA-Borda algorithm resolves weight inconsistencies and ranking issues. Key factors for site selection include service capacity, economic feasibility, and accessibility, while lower-ranked sites require better transportation access and infrastructure.Sensitivity analysis shows that economic factor weights significantly affect rankings, while technical indicators ensure stability. Compared to fuzzy AHP, ANP, VIKOR, SWARA, and TOPSIS methods, MultiMOORA Borda algorithm demonstrates superior stability and adaptability. This research provides both a theoretical foundation and practical guidance for optimizing charging and swapping station siting in dynamic urban environments.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"125 ","pages":"Article 106342"},"PeriodicalIF":10.5,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143833821","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}

{"title":"Interpreting complex relationships between urban and meteorological factors and street-level urban heat islands: Application of random forest and SHAP method","authors":"Tageui Hong ,&nbsp;Steve H.L. Yim ,&nbsp;Yeonsook Heo","doi":"10.1016/j.scs.2025.106353","DOIUrl":"10.1016/j.scs.2025.106353","url":null,"abstract":"<div><div>Urban and meteorological factors strongly affect street-level urban heat islands (UHIs), but few studies have considered their interactions under varying weather conditions. This study investigated the relationship between urban and meteorological factors and street-level UHI intensity in Seoul during daytime and nighttime in summer. UHI intensity was calculated from urban air temperatures measured by 568 street-level sensors. Random forest regression models and Shapley Additive exPlanations (SHAP) method were used to quantitatively analyze nonlinear relationships and interaction effects of the predictors. The results indicated that meteorological variables, particularly regional air temperature, significantly influenced UHI intensity during both daytime and nighttime. Furthermore, urban factors such as building coverage ratio and pervious ratio became more important during nighttime. Both meteorological and urban variables indicated nonlinear relationships with UHI intensity, with some showing threshold effects. Compared to total effects, main effects were significantly smaller in magnitude and range due to high parameter interactions among variables. For most variables, the sum of interaction effects outweighed main effects. In particular, notable interaction effects were observed within each meteorological and urban category. These results pinpoint that effects of urban variables are important individually and in combination with other variables. The findings highlight the importance of designing effective mitigation strategies that account for both nonlinear relationships of individual factors influencing UHI and interactive influences of multiple factors.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"126 ","pages":"Article 106353"},"PeriodicalIF":10.5,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143838616","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}

{"title":"Exploring the seasonal impacts of morphological spatial pattern of green spaces on the urban heat island","authors":"Jialong Xu ,&nbsp;Yingying Jin ,&nbsp;Yun Ling ,&nbsp;Yiyan Sun ,&nbsp;Yuan Wang","doi":"10.1016/j.scs.2025.106352","DOIUrl":"10.1016/j.scs.2025.106352","url":null,"abstract":"<div><div>Studying the influencing factors of urban heat island (UHI) is the key to improving the urban thermal environment. Research has shown that the spatial pattern of green space is an essential factor, but the impact of morphological spatial pattern of green spaces on UHI intensity has not yet been thoroughly explored. Compared to traditional landscape pattern indices, Morphological Spatial Pattern Analysis (MSPA) is more accurate and efficient in identifying different morphological types. Therefore, this study takes Nanjing, China as a case study and combines MSPA with landscape indices to analyze the spatial patterns of seven green space morphological types. Pearson's coefficients and Random Forest models were used to quantitatively assess their relationships with UHI intensity in different seasons. The results indicate that all green space morphological types are negatively correlated with UHI intensity, with the core being the most critical type to mitigate UHI, followed by perforation, and islet showing the weakest cooling capacity. Moreover, the impact of each green space morphological type on UHI exhibits seasonal differences, with summer being most prominent. The study further reveals that rational optimization of key morphological elements can significantly enhance their cooling effects. Expanding the core area is the most rewarding option to improve cooling, while improving the core connectivity, increasing the edge length and density of the core also yields high returns. Additionally, increasing the density, number, aggregation, and shape complexity of perforation is an effective strategy. In contrast, additional islets are unlikely to yield a significant benefit. These findings highlight that it is crucial to rationally consider their morphological spatial pattern in the actual planning and management of green spaces. This study provides valuable insights for formulating more refined UHI mitigation strategies.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"125 ","pages":"Article 106352"},"PeriodicalIF":10.5,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143777584","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}

{"title":"Precise mitigation strategies for urban heat island effect in Hong Kong's new towns using automated machine learning","authors":"Yiyan Li ,&nbsp;Hongsheng Zhang ,&nbsp;Yinyi Lin ,&nbsp;Jing Ling ,&nbsp;Huiyuan Xue ,&nbsp;Peizhuo Guo","doi":"10.1016/j.scs.2025.106350","DOIUrl":"10.1016/j.scs.2025.106350","url":null,"abstract":"<div><div>New town developments aim to enhance the spatial layout and quality of living environments in metropolitan areas. These areas are vulnerable to the urban heat island (UHI) effect owing to high-density development and poor long-term planning. However, few studies have investigated the spatial distribution of the influence of built environments on UHI, limiting the ability of urban planners to develop targeted mitigation strategies. To address this gap, we analyzed the complex spatial relationship between land surface temperature (LST), an important indicator of UHI, and the built environment in all new towns in Hong Kong. We employed remote sensing images, street view images, geographical information science (GIS) data, and land-use data with automated machine learning to model the LST-built environmental relationship at various spatial scales, using Shapley Additive Explanations (SHAP) to interpret the model to show the spatial distribution of the influence of the built environment on UHI. Our best model was the Extreme Gradient Boosting Machine model with a 210-m grid R-squared value of 0.79. We found that 1) the land-use feature class had the most significant influence on LST, and 2) there was spatial heterogeneity among the major contributors to UHI. The refined UHI attribution analysis method proposed in this study enables precise modeling for smart and sustainable city planning. (211 words)</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"125 ","pages":"Article 106350"},"PeriodicalIF":10.5,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143792624","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}

{"title":"Future resource efficiency scenarios for the Western Asian and Northern African residential buildings: An exploratory study","authors":"Sahin Akin,&nbsp;Fabio Carrer,&nbsp;Edgar Hertwich","doi":"10.1016/j.scs.2025.106351","DOIUrl":"10.1016/j.scs.2025.106351","url":null,"abstract":"<div><div>This study examines resource efficiency in residential buildings across Western Asia and Northern Africa (WN). The research addresses the pressing challenge of the residential sector's greenhouse gas emissions (GHGE) by evaluating strategies to enhance energy and material efficiency. The primary research question investigates how different scenarios can reduce operational energy use, material consumption, and related GHGE in residential buildings. Employing the ODYM-RECC framework, we developed a dynamic stock model using data from 850 residential archetypes spanning 19 countries. This model evaluated ten future scenarios, including six individual strategies and four combinations. The results indicate that a combined strategy could reduce use-phase emissions by 60 % and material-related emissions by 47 %, achieving an overall GHGE reduction of 56 % by 2050. These findings highlight the importance of integrated strategies addressing both construction practices and energy use to achieve substantial emissions reductions. Future research should focus on country-specific strategies and incorporate evolving regional policies and climate projections.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"125 ","pages":"Article 106351"},"PeriodicalIF":10.5,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143785063","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}

{"title":"Market mechanism enabling electric vehicle grid integration: A critical review on operational frameworks, service provisions and optimization techniques","authors":"Yanchong Zheng,&nbsp;Yubin Wang,&nbsp;Qiang Yang","doi":"10.1016/j.scs.2025.106347","DOIUrl":"10.1016/j.scs.2025.106347","url":null,"abstract":"<div><div>The growing concern on global environmental deterioration is accelerating the adoption of electric vehicles (EVs) for the electrification of transportation. However, unregulated and stochastic charging loads of large-scale EVs will add complexity in power generation, transmission, and distribution. Electric vehicle grid integration (EVGI) can link the electric power system and the transportation system in ways that can benefit both. This work exploits a series of critical issues of EVGI and provides a comprehensive review of the related technological advances. The background of EVGI is first introduced, including EV technology classifications, EV charging standards, and grid impacts of EV charging. Note that prior studies for the EVGI largely ignored the realistic framework to capture EV charging flexibilities. As such, two types of potential EVGI frameworks are summarized, whereby the market mechanism regarding how to procure EV flexibilities for the EVGI is investigated. In addition, grid services available from EVs are discussed based on the EVGI frameworks. Moreover, mathematical models for optimal strategies for EV charging in a market environment are elaborated. Finally, key issues and research trends in EVGI deployment are outlined in the conclusion and remarks.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"125 ","pages":"Article 106347"},"PeriodicalIF":10.5,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143761319","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}

{"title":"Curse or blessing: How does digital inclusive finance affect urban electricity consumption in China?","authors":"Yicheng Zhou ,&nbsp;Malin Song ,&nbsp;Xiaofeng Long ,&nbsp;Wenjie Ouyang","doi":"10.1016/j.scs.2025.106348","DOIUrl":"10.1016/j.scs.2025.106348","url":null,"abstract":"<div><div>In the context of climate change, it is essential to give full play to the role of financial instruments and policies. Digital inclusive finance (DIF) is an important product of the combination of digital economy and traditional finance. This study uses the panel data of 282 cities in China from 2011 to 2021 to investigate the impact and mechanisms of DIF on urban electricity consumption (UEC). The results show that DIF and UEC show a significant inverted U-shaped relationship. However, the inverted U-shaped relationship shows obvious heterogeneity in different stages and regions. Meanwhile, DIF can produce the nonlinear relationship to UEC through agglomeration effect and technical effect. In addition, the inclusive effect of DIF is significant. DIF can narrow the electricity consumption gap between cities, especially in the coverage breadth and use depth of DIF. The theoretical and empirical evidence in this paper provides new findings for understanding the relationship between DIF and energy utilization.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"125 ","pages":"Article 106348"},"PeriodicalIF":10.5,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143792621","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}

{"title":"Model fusion algorithms for digital twinning in built environments: Extending behavioral models in a real HVAC system","authors":"Jeyoon Lee ,&nbsp;Peng Wang ,&nbsp;Sungmin Yoon","doi":"10.1016/j.scs.2025.106343","DOIUrl":"10.1016/j.scs.2025.106343","url":null,"abstract":"<div><div>Digital twin-enabled building operations can improve energy efficiency and reduce carbon emissions from heating, ventilation, and air conditioning (HVAC) systems. However, designing a digital twin model without a measured target variable is inevitable owing to the limited sensing environment and sensor malfunctions in massive building systems. To address this challenge, this study proposes a model fusion method that enables in situ digital twinning for HVAC systems. The proposed method provides an algorithm to effectively combine three model fusion techniques: model coupling, prediction model assembly, and benchmark model assembly, thereby achieving a more accurate and extensive digital twin model environment during HVAC operations. Model coupling is a technique that indirectly calibrates a physics-based prediction model using a benchmark model developed through a data-driven approach. Model assembly involves the additional use of auxiliary models to prevent modeling failures, where prediction model assembly targets the prediction model, and benchmark model assembly focuses on the benchmark model. The proposed method was applied to the (1) mass flow rate and (2) water temperature at the return-side chilled water loop in a real HVAC system. After applying the combinations of model fusion techniques according to the proposed method, the mass flow rate was obtained with a mean absolute percentage error (MAPE) of 2.91 %, and the return water temperature was obtained with a root mean squared error (RMSE) of 0.47 °C. These results demonstrate the effectiveness of model fusion techniques and their combinations for enhancing the accuracy of in situ digital twinning and extending in situ behavioral models for operational HVAC systems.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"125 ","pages":"Article 106343"},"PeriodicalIF":10.5,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143828271","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}

{"title":"Optimizing green space configuration for mitigating land surface temperature: A case study of karst mountainous cities","authors":"Shujun Liu,&nbsp;Zhijie Wang,&nbsp;Gilbert Kumilamba,&nbsp;Lifei Yu","doi":"10.1016/j.scs.2025.106345","DOIUrl":"10.1016/j.scs.2025.106345","url":null,"abstract":"<div><div>Despite growing recognition of green spaces' role in mitigating urban heat island (UHI) effects, research on how different green space landscape patterns impact land surface temperature (LST) across various spatial scales remains limited, particularly in mountainous cities where human-land conflicts complicate this relationship. This study uses XGBoost-SHAP models to analyze the effects of different green space landscape patterns on LST in major gray-green landscape combinations (artificial green space-impervious surface combination (AGIS), mountain green space-impervious surface combination (MGIS), artificial green space-mountain green space-impervious surface combination (AGMGIS)) in the central urban area of Guiyang City, China, across grid scales of 150 to 600 m. The results show that: (1) At various spatial scales, the MGIS exhibits the lowest average LST, whereas AGIS registers the highest, underscoring the superior cooling efficacy of mountain green spaces over their artificial counterparts. (2) Beyond increasing green space area, enhancing patch connectivity further reduces the LST in mountainous cities. (3) The influence of green space landscape patterns on LST's significant cooling thresholds exhibits a scale-dependent effect. For instance, the cooling thresholds for MGIS's mountain green space proportion range from 70.93 % to 86.27 % across grid scales of 150 to 600 m. Notably, high landscape percentage, large largest patch index, and low landscape division index in mountain green spaces significantly enhance cooling effects of both MGIS and AGMGIS. (4) Increasing patch shape complexity improves cooling in small mountain green spaces, while enhancing connectivity boosts cooling in small artificial green spaces. Overall, in mountainous cities, maximizing the area and integrity of mountain green spaces is essential for optimal cooling. When mountain green space area is constrained, maintaining patch shape complexity is recommended. Meanwhile, when artificial green space area is limited, ensuring patch connectivity is crucial. These strategies enhance cooling effects and provide insights for mitigating UHI in mountainous urban areas.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"125 ","pages":"Article 106345"},"PeriodicalIF":10.5,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143783619","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}

{"title":"Dynamics of human speech as aerosol transmission sources: Implications for sustainable urban health based on impulsive jet theory","authors":"Chunwen Xu ,&nbsp;Weiqiang Ma ,&nbsp;Shuquan Yi ,&nbsp;Li Liu ,&nbsp;Peter V. Nielsen ,&nbsp;Chen Zhang","doi":"10.1016/j.scs.2025.106340","DOIUrl":"10.1016/j.scs.2025.106340","url":null,"abstract":"<div><div>In the context of sustainable urban environments and public health, this study investigates exhaled airflows during vocalization to understand their flow dynamics and transmission characteristics. Using illuminated high-speed imaging and PIV, the research characterizes exhaled flows through comprehensive parameters including jet flow stages, injection times, mouth scales, directions, distances, velocities, Reynolds numbers, and dimensionless time parameters, establishing baseline data for flow description and modeling. Through analogy with impulsive jets, two distinct flow regimes were identified based on formation time parameter (<em>t*</em>_inj) and formation number (Fn). Regime A (<em>t*</em>_inj &lt; Fn) exhibits single vortex ring evolution, while Regime B (<em>t</em>*_inj &gt; Fn) features additional trailing jets. The formation number (Fn = 5.5–9.0) serves as a critical transition parameter between these regimes, with peak vortex ring vorticity reaching approximately 70 s^-1. Analysis suggests that bulk velocity and injection time may serve as key parameters for simplified CFD modeling, pending validation. As expelled droplets tend to concentrate and penetrate in vortices, disrupting these structures may reduce aerosol penetration and transport. These findings contribute to the theoretical framework for respiratory flow modeling and disease transmission control.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"125 ","pages":"Article 106340"},"PeriodicalIF":10.5,"publicationDate":"2025-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143785062","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}