{"title":"Sustainable location selection for photovoltaic waste recycling centers: An extended MULTIMOORA approach","authors":"Xingya Zhang, Jing Li, Nan Wang","doi":"10.1016/j.scs.2025.106316","DOIUrl":"10.1016/j.scs.2025.106316","url":null,"abstract":"<div><div>Establishing a recycling system is of great significance for China to cope with the challenges of photovoltaic (PV) waste and promote the sustainable development of cities and society. Location selection of PV waste recycling centers (PVRCs) is one of the critical steps, which directly affects the transportation cost and environmental impact during the PV waste recycling process. PVRCs location selection is a complex multi-criteria decision-making (MCDM) problem, requiring considering numerous factors such as economic cost, resources, environmental impact, etc. This study constructs a comprehensive PVRCs location selection framework. First, we establish a sustainable location assessment criteria system for PVRCs that includes 11 criteria involving economic, environment and social aspects. Then, we propose an extended MULTIMOORA method based on rough-Z numbers to evaluate the potential PVRC locations, which combines the merit of rough Z-numbers in characterizing the information reliability and uncertainty inherent in expert evaluations and the advantage of MULTIMOORA approach in accurately ranking PVRCs locations. Finally, the proposed framework is applied to a real case to verify its effectiveness, providing valuable technical support for enterprises to avoid resource and economic loss.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"124 ","pages":"Article 106316"},"PeriodicalIF":10.5,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143684190","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}
Xiaoxin Zhao , Jinliu Chen , Jiayi Li , Haoqi Wang , Xinyu Zhang , Fangshu Yu
{"title":"Unraveling the renewal priority of urban heritage communities via macro-micro dimensional assessment- A case study of Nanjing City, China","authors":"Xiaoxin Zhao , Jinliu Chen , Jiayi Li , Haoqi Wang , Xinyu Zhang , Fangshu Yu","doi":"10.1016/j.scs.2025.106317","DOIUrl":"10.1016/j.scs.2025.106317","url":null,"abstract":"<div><div>Amidst rapid global urbanization, the resultant community decline has exacerbated issues such as social segregation, resource misallocation, and neighborhood alienation. In particular, heritage communities face unique challenges as standardized, project-based renewals frequently neglect their cultural and historical attributes, thereby intensifying mismatches in renewal decision-making. To address these challenges, this study proposes a multidimensional evaluation of heritage communities using the Social-spatial Service Index (SSI) to define renewal priority and fill gaps in current evaluation mechanisms. Focusing on Nanjing in China, the research conducts a macro-level GIS assessment of 2153 communities using a Bayesian Best-Worst Model and a micro-level evaluation of 10 typical heritage communities using the Analytic Hierarchy Process, comparing results across different scales. The dual-scale approach reveals that: (1) Despite heterogeneous measurement factors, the SSI delivers consistent results across macro and micro levels, demonstrating its robustness. (2) Community renewal priority decreases with distance from the urban core, but heritage communities exhibit higher renewal priority, emphasizing the unique value of preserving cultural heritage. (3) It underscores the importance of cultural and economic factors in renewal, validating its effectiveness in guiding context-sensitive strategies. These insights underscore the necessity of tailored renewal strategies that respect cultural contexts and provide actionable insights for urban policy and planning.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"124 ","pages":"Article 106317"},"PeriodicalIF":10.5,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143683818","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}
Jaekyoung Kim , Gunwon Lee , Samuel Park , Junsuk Kang
{"title":"Mitigating urban heat island effects through leadership in energy and environmental design evaluation and blue-green infrastructure: Applying the hazard capacity factor design model for urban thermal resilience","authors":"Jaekyoung Kim , Gunwon Lee , Samuel Park , Junsuk Kang","doi":"10.1016/j.scs.2025.106306","DOIUrl":"10.1016/j.scs.2025.106306","url":null,"abstract":"<div><div>This study aimed to evaluate urban heat island (UHI) mitigation strategies by applying the Hazard Capacity Factor Design (HCFD) model, which was initially developed for urban flooding, to assess the effectiveness of blue-green infrastructure in enhancing urban resilience to extreme heat. UHIs exacerbate the impacts of climate change, particularly in densely populated areas with limited green spaces. This study utilized computational fluid dynamics (CFD) simulations along with sensor data from Seongdong-gu, Seoul, to evaluate climate adaptation strategies, including cooling fog and green infrastructure, both individually and in combination. The results indicate that the HCFD model can effectively assess urban thermal resilience, with <em>R</em>² values exceeding 0.9 for all monitoring points. The combination of cooling fog and green infrastructure showed significant interaction effects, with a conservative interaction effect of approximately 3.97°C cooling at a wind speed of 1 m/s. These findings underscore the potential of the HCFD model to inform data-driven urban planning and improve climate adaptation strategies, thereby contributing to the development of resilient urban environments. Future research should explore the broader applicability of the HCFD model to other urban climate risks and assess the long-term impacts of integrated adaptation measures.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"124 ","pages":"Article 106306"},"PeriodicalIF":10.5,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143684323","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}
Yuan Feng , Chenyu Fang , Xiaoli Jia , Peihao Song , Lin Zhou , Xin Xu , Kun Wang , Ruizhen He , Nan Guo , Shidong Ge
{"title":"Dual pathways of carbon neutrality in urban green spaces: assessment and regulatory strategies","authors":"Yuan Feng , Chenyu Fang , Xiaoli Jia , Peihao Song , Lin Zhou , Xin Xu , Kun Wang , Ruizhen He , Nan Guo , Shidong Ge","doi":"10.1016/j.scs.2025.106311","DOIUrl":"10.1016/j.scs.2025.106311","url":null,"abstract":"<div><div>Urban green spaces (UGSs), essential semi-natural environments, play a crucial role in carbon sequestration and emission reduction by mitigating urban heat. Yet, their contribution to indirect carbon reduction has often been overlooked. This study introduces a novel dual-pathway framework to comprehensively assess the carbon neutrality potential of UGSs across various spatial scales in Xi'an from 2000 to 2020, while identifying key influencing factors. Findings reveal an average annual carbon neutrality capacity of 1.44 kg·C·m<sup>−2</sup>·yr<sup>−1</sup>, rising from -0.54 kg·C·m<sup>−2</sup>·yr<sup>−1</sup> during 2000–2005 to 1.97 kg·C·m<sup>−2</sup>·yr<sup>−1</sup> in 2015–2020. Indirect carbon reduction through heat mitigation significantly surpassed direct sequestration, averaging 1.16 kg·C·m<sup>−2</sup>·yr<sup>−1</sup> versus 0.27 kg·C·m<sup>−2</sup>·yr<sup>−1</sup>. Sequestration variations were largely influenced by developmental stages, while carbon reduction was shaped by spatial characteristics. Using 18 socio-economic, environmental, and spatial landscape factors, we applied correlation analysis, machine learning regression, and partial dependence analysis. Results indicate socio-economic factors had the strongest impact on carbon neutrality, followed by environmental, spatial, and landscape factors. Adjusting key drivers by 10 % and 25 % with random forest models demonstrated potential increases in carbon neutrality by 18.1 % and 41 %, respectively. These insights support UGS management strategies to boost carbon neutrality through targeted urban planning.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"125 ","pages":"Article 106311"},"PeriodicalIF":10.5,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143739406","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}
Wenhao Hu , Yang Hu , Yifu Ge , Zhongyu He , Yang Ju , Guofang Zhai , Yuwen Lu , Bardia Mashhoodi
{"title":"Thermal exposure across age groups: Social, spatial, and temporal inequalities in Nanjing, China","authors":"Wenhao Hu , Yang Hu , Yifu Ge , Zhongyu He , Yang Ju , Guofang Zhai , Yuwen Lu , Bardia Mashhoodi","doi":"10.1016/j.scs.2025.106282","DOIUrl":"10.1016/j.scs.2025.106282","url":null,"abstract":"<div><div>As climate change and urban expansion intensify, unequal thermal exposure among different age groups has emerged as a significant health concern. Existing studies on age groups' thermal exposures have notable gaps: (1) the lack of comparison between summer and winter seasons; and (2) insufficient understanding of how metropolitan location (e.g., inner-city, suburban) and built environment characteristics (e.g., land cover, morphology) influence thermal exposure. To bridge these gaps, this study analyzes Land Surface Temperature (LST) exposure of children (0–14 years), adults (15–59 years), and senior citizens (60+ years) across Nanjing's neighborhoods during the summer and winter of 2020. The study shows that variations in metropolitan locations correspond to demographic differences and built environment characteristics such as impervious surfaces, vegetation, and building heights, leading to social, spatial and temporal LST inequalities among age groups. For instance, inner-city areas exhibited higher thermal exposure risk in both summer and winter, particularly affecting senior citizens. In contrast, adults experienced relatively moderate LST exposure, likely due to their suburban residence. Random forest model results indicate that built environment characteristics significantly and seasonally influence LST. In summer, higher proportions of impervious surfaces and lower levels of vegetation contribute to elevated LST in inner-city areas. Conversely, in winter, greater impervious surface areas, taller buildings, and greater distance from industrial zones correlate with lower temperatures in these regions. This study ultimately highlights the need for policy interventions to mitigate thermal exposure inequities among different age groups.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"124 ","pages":"Article 106282"},"PeriodicalIF":10.5,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143706275","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":"Generation and prediction of building coincident design day for improving energy efficiency of building air conditioning systems","authors":"Zhengcheng Fang , Youming Chen","doi":"10.1016/j.scs.2025.106303","DOIUrl":"10.1016/j.scs.2025.106303","url":null,"abstract":"<div><div>For sustainable building air conditioning systems, accurately determining the total design cooling load serves as a critical foundation for judicious selection of cold and heat sources and the enhancement of their operating efficiency. Conventional design weather data provided in standard specifications and references are insufficient to meet the precise calculation of the total design cooling load. Coincident design day refers to a design day that considers the simultaneous occurrence of weather elements, as well as the correlation between design weather data and building characteristics. The utilization of coincident design days will enhance the precision of design cooling load calculations in air conditioning systems. In this study, a generation method and a prediction method for building coincident design days were proposed to promote the application of building coincident design days in a wider range. The evaluation results demonstrate that building coincident design days can reduce the building design cooling load by 10% ∼ 40%, while the relative deviation from the actual design cooling load is kept below 3% in more than 98% of cases. This is anticipated to yield at least a 2% ∼ 8% reduction in operating energy consumption and additional saving in construction costs for building air conditioning systems.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"124 ","pages":"Article 106303"},"PeriodicalIF":10.5,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143683916","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}
Mohammad Hossein Nejati Amiri , Sandeep Dhundhara , Fawaz Annaz , Mario De Oliveira , Florimond Gueniat
{"title":"Two-stage microgrid resilience and battery life-aware planning and operation for cyclone prone areas in India","authors":"Mohammad Hossein Nejati Amiri , Sandeep Dhundhara , Fawaz Annaz , Mario De Oliveira , Florimond Gueniat","doi":"10.1016/j.scs.2025.106290","DOIUrl":"10.1016/j.scs.2025.106290","url":null,"abstract":"<div><div>Microgrid (MG) resilience is crucial for modern power systems, due to the rising threats from High-Impact Low-Probability (HILP) events, such as natural disasters and cyberattacks. Effective management of microgrid resiliency has become a critical research area, yet operational resiliency studies often overlook microgrid sizing or rely on generic designs rather than actual resource and load data, and rarely incorporate real extreme weather events for performance validation. This paper proposes a two-stage approach for optimal design and resilient operation of the microgrid system. In the first stage, the microgrid’s photovoltaic (PV) arrays, wind turbines (WT), converters, and battery units are sized using HOMER Pro for a coastal village near Ongole, India, based on realistic solar and wind data. In the second stage, a model predictive control-based Mixed Integer Linear Programming (MILP) model with load shifting demand response optimizes real-time operation. An expected resiliency index enables smart control by dynamically adjusting objective function weights and battery state of charge limits, while a novel battery life cycle–depth of discharge formulation enhances battery life expectation. Resiliency is assessed using historical solar and wind data from Cyclone Laila. Simulation results indicate that a 140-kW PV, 80-kW WT, 52-kW converter, and 780 kWh lithium-ion battery system can meet the village’s load demand in both grid-connected and islanded modes during the HILP event. In grid-connected mode, excess energy sales reduce the Cost of Energy to $0.163/kWh, compared to $0.237/kWh in islanded mode. Under resilient operation with demand response, the system delivers an expected battery life of 15.5 years and approaches a resiliency index of close to 1.0. Grid connection doubles battery life while ensuring full load supply during HILP events. Even with reduced planned battery capacity scenarios, the proposed control maintains robust resiliency. These findings indicate that the proposed two-stage framework provides a scalable and sustainable strategy for enhancing MG resilience and battery longevity in regions prone to extreme weather events.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"124 ","pages":"Article 106290"},"PeriodicalIF":10.5,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143706119","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}
Qiuyue Zhao , Ling Tao , Hanyue Song , Yuhang Lin , Yuejiao Ji , Jianwei Geng , Kunyong Yu , Jian Liu
{"title":"Mitigation pathways of urban heat islands and simulation of their effectiveness from a perspective of connectivity","authors":"Qiuyue Zhao , Ling Tao , Hanyue Song , Yuhang Lin , Yuejiao Ji , Jianwei Geng , Kunyong Yu , Jian Liu","doi":"10.1016/j.scs.2025.106300","DOIUrl":"10.1016/j.scs.2025.106300","url":null,"abstract":"<div><div>Several studies have proposed strategies to alleviate the urban heat island (UHI) amidst the challenges of global warming and rapid urbanization. Though, few have explored multi-network synergies of heat and cold islands and simulation of their effectiveness. This study constructed an urban thermal environment (UTE) network by 2D and 3D urban structural parameters from a perspective of connectivity. Cooling measures are proposed to mitigate the UHI by combining forward and reverse thinking. The thermal environment is simulated using the patch-generating land use simulation (PLUS) model to assess the effectiveness of the cooling network. Firstly, morphological spatial pattern analysis (MSPA) and connectivity analysis are used to identify urban cold and heat island sources. Then, thermal resistance is constructed by 2D and 3D structural parameters. A multi-level thermal environment network is generated through the minimum cumulative resistance (MCR) model and circuit theory. Subsequently, key nodes within this network are identified. Finally, the PLUS model simulates and compares the thermal environment before and after the implemented of cooling network. Taking Fuzhou City as an instance, we find that: (1) 43 cold island sources, 28 heat island sources, 196 cooling corridors, 64 heat island corridors, and 711 thermal environment spatial network pinch-points are identified. (2) The PLUS model demonstrates an overall accuracy of 78% in simulating the 2023 thermal environment, affirming the feasibility of UTE simulation. (3) After optimization, the growth rate of the low-temperature zone increased by 60.63% while the growth rate of the high-temperature zone decreased by 8.63%, indicating the effectiveness of the proposed multi-level cooling network in mitigating the UHI. The approach presented in this research provides new insights for sustainable urban development and climate adaptation planning, and is crucial for addressing the UHI.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"124 ","pages":"Article 106300"},"PeriodicalIF":10.5,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143683815","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":"Optimal management of smart grid rental and electric vehicles for remote energy sharing between distinct-scale buildings with novel business model development","authors":"Yulin Liu , Shijie Zhou , Sunliang Cao","doi":"10.1016/j.scs.2025.106305","DOIUrl":"10.1016/j.scs.2025.106305","url":null,"abstract":"<div><div>Renewable energy sharing by internal grids has been proposed to enhance the load matching of zero-emission building (ZEB) clusters. However, past research focused on how the internal grid enhanced energy sharing from an energy-based perspective. The power limitation of the internal grid, the collaboration of the internal grid and electric vehicles (EVs), and the business model for renting the grid capacity from the grid operator still need to be investigated. In this work, an internal grid and twenty EVs are used to enhance the techno-economic performance of two distinct-scale buildings by remote energy sharing. The result shows that Case 10 with vehicle-to-building (V2B) at a rented grid capacity of 1500 kW improves the matching from 0.491 to 0.506 and increases the relative net present value (NPV<sub>rel</sub>) from 9.52×10<sup>8</sup> to 9.61×10<sup>8</sup> HKD, compared to only building-to-vehicle (B2V) cases. The neutral grid rental fee is in the middle of its upper and lower limits, which solves the benefit contradictions between the stakeholder's electric savings and the grid operator's income. A proper rented capacity for the stakeholder is where the internal grid provides the highest present value (PV). To enhance the scalability and applicability, some system design parameters, EV parameters, and economic parameters are tested to show the possible deviations in the techno-economic performance.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"124 ","pages":"Article 106305"},"PeriodicalIF":10.5,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143684191","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}
Xiaoyan Dong , Xiuyuan Zhang , Yi Jing , Qi Zhou , Lubin Bai , Shihong Du
{"title":"Corrigendum to “Does every public open space (POS) contribute to sustainable city development? An assessment of inefficient POS in Beijing” [Sustainable Cities and Society 117 (2024) 105980]","authors":"Xiaoyan Dong , Xiuyuan Zhang , Yi Jing , Qi Zhou , Lubin Bai , Shihong Du","doi":"10.1016/j.scs.2025.106264","DOIUrl":"10.1016/j.scs.2025.106264","url":null,"abstract":"","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"122 ","pages":"Article 106264"},"PeriodicalIF":10.5,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143643143","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}