Sustainable Cities and Society最新文献

{"title":"Analysis of Beijing's cold and heat risks based on infectious disease trends","authors":"Yi Zhou,&nbsp;Endian Wan","doi":"10.1016/j.scs.2024.106117","DOIUrl":"10.1016/j.scs.2024.106117","url":null,"abstract":"<div><div>Infectious disease is one of the greatest challenges to human health, closely linked to climate change. However, temperature-related risks based on infectious disease trends are rarely studied, potentially hindering sustainable development goals. This study collects weekly infectious disease and land surface temperature (LST) for Beijing from 2015 to 2019, using the Savitzky–Golay filter to identify temperature-related risk thresholds across seasons (winter and summer) and times (daytime and nighttime). Cold and heat risk maps for Beijing are created based on these thresholds and location-based service data, furthermore, machine learning methods explore the dominant factors of these risks from land use, building morphology, and human activities. The results show that rapid increases in infectious disease cases occur when daytime and nighttime LST exceed 35.79°C and 21.77°C in summer, and when daytime LST drops below 7.67°C or nighttime LST falls below 1.84°C in winter. Developed districts face higher heat risks but lower cold risks, while peripheral districts experience the opposite. About 58% of Beijing's population faces high and extreme daytime heat risks, slightly reduced at night, but over 90% are exposed to high and extreme cold risks during winter. Land use factors significantly influence temperature-related risks, with population density impacting nighttime risks more than daytime. The local urban heat island effect in Beijing is pronounced, especially at night, exacerbating summer heat risks while mitigating winter cold risks. Future climate change suggests an increase in heat risk days, particularly at night, and a decrease in cold risk days, highlighting the need for proactive measures to address rising heat risks in future.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"119 ","pages":"Article 106117"},"PeriodicalIF":10.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143145427","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":"Network structure and urban mobility sustainability: A topological analysis of cities from the urban mobility readiness index","authors":"D.D. Herrera-Acevedo ,&nbsp;D. Sierra-Porta","doi":"10.1016/j.scs.2024.106076","DOIUrl":"10.1016/j.scs.2024.106076","url":null,"abstract":"<div><div>In the context of rapid urbanization, efficient and sustainable urban mobility is critical. This study explores the impact of urban network structure and socio-demographic factors on Urban Mobility Readiness (UMRi) across 62 cities worldwide. Using complex network analysis, Principal Component Analysis, and multiple linear regression models, we identify significant relationships between network metrics — such as average node degree, clustering coefficient, and graph diameter — and urban mobility performance. Cities with denser, more interconnected networks tend to achieve higher UMRi scores, indicating better preparedness for modern mobility challenges.</div><div>Our findings also highlight the importance of economic resources, with GDP per capita emerging as a significant predictor of UMRi. Cities with well-funded and well-designed transportation networks demonstrate stronger performance in terms of mobility readiness and sustainability. Conversely, cities with more dispersed networks face greater challenges in optimizing their transportation systems. These insights underscore the importance of compact, resilient networks that promote accessibility and efficiency.</div><div>This study emphasizes the critical role of network structure in shaping urban mobility outcomes and offers strategic guidance for enhancing transportation systems in rapidly growing urban areas. Future research should focus on integrating emerging technologies, such as autonomous vehicles and smart city solutions, to further optimize urban mobility. This approach offers a novel perspective on how the structure of urban networks influences the sustainability and efficiency of public transport in diverse urban contexts.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"119 ","pages":"Article 106076"},"PeriodicalIF":10.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143145439","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":"AirQFormer: Improving regional air quality forecast with a hybrid deep learning model","authors":"Mingyun Hu ,&nbsp;Xingcheng Lu ,&nbsp;Yiang Chen ,&nbsp;Zhenning Li ,&nbsp;Yueya Wang ,&nbsp;Jimmy C.H. Fung","doi":"10.1016/j.scs.2024.106113","DOIUrl":"10.1016/j.scs.2024.106113","url":null,"abstract":"<div><div>Accurate air quality forecasting is crucial in providing reliable early warning information to the public. However, predictions generated by three-dimensional chemical transport models, such as the widely used Community Multiscale Air Quality (CMAQ) model, often exhibit considerable biases compared to observations. Post-processing techniques can substantially enhance the forecasting skill of air quality models. In this paper, a hybrid deep learning model, namely AirQFormer, is proposed as an end-to-end bias correction method to improve the accuracy and reliability of regional CMAQ forecasts over 72 h. The performance of AirQFormer was evaluated based on ozone observations from the Greater Bay Area in Southern China for the year 2023. AirQFormer demonstrated superior accuracy at the temporal scale compared to the CMAQ model and the long short-term memory (LSTM) model over the 72-hour forecasting period. It achieved an average reduction of 35 % (5.2 ppbv) in mean absolute error (MAE) and 33 % (6.5 ppbv) in root mean square error (RMSE) compared to the CMAQ model. Additionally, it showed a 12 % reduction (1.1 ppbv) in MAE and an 11 % reduction (1.4 ppbv) in RMSE compared to the LSTM model. At the spatial scale, AirQFormer outperformed both the CMAQ model and traditional spatial bias correction methods, with MAE values being 31 % (4.5 ppbv) and 5 % (0.5 ppbv) lower than those of the CMAQ model and traditional methods, respectively. Regarding peak value forecasting, AirQFormer exhibited notable improvements compared to the CMAQ model. The false alarm rate of AirQFormer is 12 % lower than that of the CMAQ model, indicating a more accurate identification of episode events. These results demonstrate the effectiveness of our proposed model in improving air quality predictions.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"119 ","pages":"Article 106113"},"PeriodicalIF":10.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143146016","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 nuanced correlation between built environment and the integrated travel of dockless bike-sharing and metro at origin-route-destination level","authors":"Huapeng Shen ,&nbsp;Jiancheng Weng ,&nbsp;Pengfei Lin","doi":"10.1016/j.scs.2024.106090","DOIUrl":"10.1016/j.scs.2024.106090","url":null,"abstract":"<div><div>As an essential mode of last-mile connectivity for public transit, dockless bike-sharing (DBS) has garnered increasing attention in the analysis of feeder trips. However, most previous studies have primarily focused on land use attributes around stations, neglecting the influence of factors at other stages such as trip origins and route environments. To address these gaps, this study employs XGBoost and SHAP to analyze the relationship between built environment attributes and DBS-metro integrated travel at origin-route-destination level based on multi-source geographic data such as DBS trajectory data, streetscape images, and POIs. The results indicate that route-built environment factors have a stronger influence on DBS-metro integration than traditional 5D attributes. Furthermore, the influence of built environment factors is nonlinear. When the green view index is between 0.15 and 0.25, residents are attracted to using DBS to reach the metro. Moreover, this study identifies interaction effects between cycling distance and other factors. The research findings provide scientific support for operators to allocate vehicles and transportation planners to undertake community regeneration and develop sustainable transportation systems.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"119 ","pages":"Article 106090"},"PeriodicalIF":10.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143144910","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":"The impact of energy metabolic pattern on household carbon emissions: A spatio-temporal perspective in Guangdong-Hong Kong-Macao Greater Bay Area","authors":"Lei Chen ,&nbsp;Jiahan Luo ,&nbsp;Guotian Cai ,&nbsp;Linlin Xia ,&nbsp;Yongyang Wang ,&nbsp;Linyu Xu","doi":"10.1016/j.scs.2024.106094","DOIUrl":"10.1016/j.scs.2024.106094","url":null,"abstract":"<div><div>The increasing energy metabolism of households and its role in carbon emissions underscore the critical need for comprehensive studies in meeting emission targets. Existing research often fails to incorporate these patterns holistically, leaving a gap in understanding how rising energy metabolism drives household carbon emissions within different regions. This study addressed this gap by employing a spatio-temporal LMDI model to investigate household CO₂ emissions in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) and its peripheral cities (PC) from 2010 to 2020. With a city-level inventory and MuSIASEM analysis of energy metabolic patter, this research found that, alongside with During this period, household CO₂ emissions nearly doubled, with total household growth and the increased energy metabolism rate (EMR) contributing 60 % and 32 % of the rise, respectively. Significant regional disparities were observed, particularly in the GBA regions, where factors such as smaller population sizes and higher housing prices amplified the effects of EMR and shifts in energy structure. These findings highlight the urgent need for tailored carbon reduction strategies that address both socioeconomic and geographical disparities in urban agglomerations, advocating for diversified energy policies and adaptive urban planning to mitigate carbon emissions effectively in densely populated cities worldwide.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"119 ","pages":"Article 106094"},"PeriodicalIF":10.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143145422","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":"Simulation of sustainable solar thermal storage system involving photovoltaic panel equipped with nanofluid-based splitter considering self-cleaning coating","authors":"M. Sheikholeslami ,&nbsp;Z. Khalili ,&nbsp;Fatemeh Salehi ,&nbsp;Ladan Momayez","doi":"10.1016/j.scs.2024.106100","DOIUrl":"10.1016/j.scs.2024.106100","url":null,"abstract":"<div><div>In this investigation, an improvement strategy for a photovoltaic (PV) system is examined, incorporating a nanofluid filter and a paraffin-based storage system. The utilization of a spectral filter, employing ZnO-water nanofluid, is intended to optimize the utilization of the entire spectral distribution of sunlight. In all scenarios, a paraffin layer is introduced, comprising RT25 mixed with ZnO nanoparticles. Moreover, the consideration is given to the influence of applying TiO₂ nanoparticles for coating the upper glass layer. The investigation utilizes simulations based on the finite volume method and examines four unique scenarios: case 1, characterized by the absence of a filter; case 2, involving the incorporation of a nanofluid filter; case 3, incorporating dusty glass with a filter; and case 4, integrating a self-cleaning effect with a filter. Examining various performance metrics uncovers significant findings. The research showcases a 5.3 % rise in CO₂ mitigation (CM) through the integration of a nanofluid filter, a 12 % reduction linked to the influence of dust, and an 11.2 % enhancement facilitated by a self-cleaning method. The presence of dust initially contributes to a decrease in outlet temperature of the filter (T_out), but eventually, it exhibits a 66.79 % improvement with the adoption of the self-cleaning method. The application of a coating on the glass layer leads to an 11.2 % boost in electrical performance (η_el). Utilizing filter results in a decrease of 19.08 % in temperature of paraffin (T_PCM) and 8.54 % in liquid fraction (LF), while concurrently enhancing η_el by 5.03 % at <em>t</em> = 80 min. Three cities have been analyzed in terms of profit after 12 years, with Berlin showing the highest returns. For Berlin, implementing the spectral filter increases the system's profit by approximately 5.34 %, while coating the glass with nanoparticles further boosts it by about 18.12 %.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"119 ","pages":"Article 106100"},"PeriodicalIF":10.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143145424","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":"Can proximity forge strong bonds? Exploring the relationship between urban proximity and social cohesion at the neighbourhood level","authors":"Serena Mombelli ,&nbsp;Carme Miralles-Guasch ,&nbsp;Oriol Marquet","doi":"10.1016/j.scs.2024.106096","DOIUrl":"10.1016/j.scs.2024.106096","url":null,"abstract":"<div><div>Urban proximity has recently regained prominence in urban and transport planning. While the environmental and health benefits of increased proximity are well documented, its social implications, particularly in relation to social cohesion, remain under-researched. This is important because social cohesion is often associated with increased community resilience and societal stability. While previous research has examined how features of the built environment affect social cohesion, few studies have isolated the impact of proximity to daily destinations. We address this gap by integrating objective and subjective measures of proximity to daily destinations and assessing their impact on neighbourhood social cohesion. Using survey data on social cohesion and perceived proximity, together with georeferenced data on destination distances in five Spanish cities, we apply an SEM approach to analyse the relationship. The results indicate a negative relationship between distance to destinations and social cohesion, mediated by perceptions of proximity. This means that the impact of distances to destinations over social cohesion is stronger when destinations are perceived to be closer or further than they actually are. Urban planners and policymakers should consider objective and subjective measures of proximity and focus on equitable access to essential services to promote community cohesion.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"119 ","pages":"Article 106096"},"PeriodicalIF":10.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143145441","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":"A multi-objective optimization framework for designing residential green space between buildings considering outdoor thermal comfort, indoor daylight and Green View Index","authors":"Yuxiao Wang ,&nbsp;Xiaoyue Yan ,&nbsp;Xin Zhang ,&nbsp;Di Zhang","doi":"10.1016/j.scs.2024.106045","DOIUrl":"10.1016/j.scs.2024.106045","url":null,"abstract":"<div><div>As vital elements of residential communities, landscape represented by green spaces significantly impact light, wind, and thermal environments, influencing residents' wellbeing. However, most research has focused on thermal performance of greening design, neglecting key factors such as indoor lighting and window view benefits, which are crucial to the indoor visual environment. This study introduces a multi-objective optimization framework for the design of residential Green Space between Buildings (GSBB), aiming to improve both indoor visual environments and outdoor thermal conditions. By incorporating Tree Shape Surfaces (TSS) and using the NSGA-II optimization algorithm, the study focuses on optimizing the Universal Thermal Climate Index (UTCI), Spatial Daylight Autonomy (sDA), Annual Sunlight Exposure (ASE), and Green View Index (GVI). A case study conducted on a typical residential building cluster in Beijing revealed notable performance improvements: a 1.31 % reduction in UTCI, a 6.07 % increase in sDA, an 11.77 % decrease in ASE, and a 26.27 % rise in GVI. Among all feasible solutions, sDA showed Spearman correlations of 0.9, 0.78, and -0.94 with UTCI, ASE, and GVI, respectively. These findings underscore the effectiveness of optimized greening designs in enhancing multiple environmental performance objectives, emphasizing the importance of balancing various environmental performance objectives in sustainable greening design.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"119 ","pages":"Article 106045"},"PeriodicalIF":10.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143145659","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":"Research on optimal design of multi-energy microgrid considering hybrid resilience load management and Carbon emissions","authors":"Talha Rehman ,&nbsp;Muhammad Ahsan Khan ,&nbsp;Hak-Man Kim","doi":"10.1016/j.scs.2024.106108","DOIUrl":"10.1016/j.scs.2024.106108","url":null,"abstract":"<div><div>This paper presents an optimal sizing model for the multi-energy microgrid (MEMG) based on mixed-integer linear programming (MILP), intended to minimize the annual total cost (ATC). The MEMG incorporates multi-energy storage systems (MESS) and power-to-gas (P2G) systems considering power-to-hydrogen (P2H) and hydrogen-to-gas (H2G) processes independently. To this end, a novel two-way hybrid resilience load management strategy is introduced and the uncertain behavior of EVs and HVs is modeled via Monte-Carlo Simulations (MCS). In addition, the vehicle-to-grid (V2G) capabilities are enabled for MEMG stability. The proposed design achieves a 4.19% annual total cost reduction rate (ATCRR) and 8.81% annual emission reduction rate (AERR) compared to the design without MESS, <span><math><msub><mrow><mi>O</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span> revenue, and H2G capabilities. Co-integration of H2G and V2G technologies yields a 7.281% AERR and 0.37% ATCRR. The CCS alone captures 20.35% of the <span><math><msub><mrow><mi>CO</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span> annually making the system low-carbon. Furthermore, five storage systems improve efficiency and reduce ATC by 1.5%. Besides, the revenue generated from <span><math><msub><mrow><mi>O</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span> sales and cross-market arbitrage covers 35.56% of MEMG expenses. Notably, the resilience management strategy effectively mitigates incremental cost burden of 1.3% and reduces emissions, ensuring robustness against outages. Therefore, the proposed system provides a clean, resilient, and cost-effective solution to the modern energy sector.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"119 ","pages":"Article 106108"},"PeriodicalIF":10.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143145660","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":"Enhancing compound flood simulation accuracy and efficiency in urbanized coastal areas using hybrid meshes and modified digital elevation model","authors":"Ebrahim Hamidi ,&nbsp;Behzad Nazari ,&nbsp;Hamed Moftakhari ,&nbsp;Hamid Moradkhani","doi":"10.1016/j.scs.2025.106184","DOIUrl":"10.1016/j.scs.2025.106184","url":null,"abstract":"<div><div>Accurate flood simulation is crucial for comprehending its impacts, especially in urbanized coastal areas. Reliable flood modeling depends on precise input data, as errors can lead to inaccurate severity estimates. This research investigates the impact of Digital Elevation Model (DEM) modifications on hydrodynamic simulation results, particularly in densely populated urban regions where man-made features like roads and bridges significantly affect water movement. Findings reveal that integrating local survey data to modify DEMs not only significantly enhances result accuracy but also reduces computational costs. Additionally, comparing unstructured and hybrid meshes indicates that using hybrid meshes on a Modified DEM significantly improves accuracy and computational efficiency for flood inundation mapping. A case study of Hurricane Harvey in Houston, Texas, shows a 40 % improvement in flood estimate accuracy and a 34 % reduction in computation time with hybrid meshes on a modified DEM. Additionally, the study evaluates the impact of atmospheric forces and surge, revealing a 20 % improvement in results in the Bay area when atmospheric forces are included. This research underscores the importance of employing accurate DEMs, appropriate meshes tailored to domain features and proper boundary forces for precise flood simulations, helping decision-makers and city planners better assess community vulnerability.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"121 ","pages":"Article 106184"},"PeriodicalIF":10.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143209498","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}