Sustainable Cities and Society最新文献

{"title":"The landscape pattern characteristics of urban built-up land significantly influence urban thermal comfort: Evidence from large cities in China","authors":"Chunguang Hu,&nbsp;Hui Zeng","doi":"10.1016/j.scs.2025.106402","DOIUrl":"10.1016/j.scs.2025.106402","url":null,"abstract":"<div><div>The rapid convergence of urban development drivers and Thermal Comfort (TC) demands highlights a critical gap in understanding the relationship between the Landscape Pattern Characteristics (LPC) of Urban Built-up Land (UBL) and TC. Using Shapley Additive Explanations (SHAP) within an Interpretable Machine Learning (IML) framework, this study investigates the nonlinear, spatially non-stationary impacts of UBL's LPC on TC. The findings reveal complex spatial interactions: (1) A threshold effect between patch area and TC, with TC sharply declining when the Largest Patch Index (LPI) exceeds 0.65 and the Mean Patch Area (AREA_MN) surpasses 0.2; (2) Patch shape complexity exhibits a significant nonlinear relationship with TC: higher Perimeter-Area Fractal Dimension (PAFRAC &gt; 0.36) and Shape Area Metric (SHAPE_AM &gt; 0.22) increase shape irregularity, enhancing heat retention and negatively impacting TC; (3) Moderate patch aggregation, characterized by Patch Density (PD) &gt; 0.15, can improve TC if inter-patch connectivity, measured by Effective Mesh Size (MESH &lt; 0.1), is sufficiently enhanced; (4) The interaction of area, shape, and aggregation characteristics reveals key regulatory mechanisms, highlighting the positive impact of small-scale, simplified morphologies and reduced fragmentation on TC. These findings provide scientific guidance for urban planning and microclimate regulation.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"126 ","pages":"Article 106402"},"PeriodicalIF":10.5,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143891773","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":"Examining the influencing factors of green transformation efficiency in resource-exhausted cities through the lens of Chinese case studies: A framework integrating urban system composition analysis and PLS-SEM methodology","authors":"Ziyi Wang ,&nbsp;Yi Yang ,&nbsp;Zhen Li ,&nbsp;Prasanna Divigalpitiya","doi":"10.1016/j.scs.2025.106398","DOIUrl":"10.1016/j.scs.2025.106398","url":null,"abstract":"<div><div>In resource-exhausted cities, improving the efficiency of green transformation requires analysis of influencing factors and action paths. DEMATEL-ISM method and MICMAC model were used to analyze the dependence and driving force of five influencing factors. Based on PLS-SEM model, the hierarchical structure and action path of the influencing factors were quantitatively analyzed through 39-sample cities in China. Simultaneously, the relationship between spatial form and Urban Green Transformation Efficiency (UGTE) and its reasons are qualitatively analyzed. The main conclusions are as follows: (1) The urban spatial system affects urban productivity. (2) Economy, environment, and infrastructure are highly interdependent, with minimal driving force. In contrast, society and space have a larger driving force and are less dependent. (3) In resource-exhausted cities, economy has the greatest impact on UGTE (0.367***), followed by infrastructure (0.358***) and environment (-0.160***). The path coefficients of spatial impact on economy, environment, and infrastructure were 0.337, 0.741, and 0.564, respectively. The path coefficient of social influence on economy is 0.564***. (4) The UGTE of radiation and centralized urban spatial forms is higher. The UGTE of band and group urban spatial form is lower. The theoretical contributions of this study are as follows: (1) for the first time, an analysis framework that includes spatial factors influencing UGTE is proposed; (2) the study explores sustainable urban form and establishes a research paradigm for related studies. The practical contributions include providing guidance for the medium- and long-term spatial planning of different resource-based cities. For example, resource-exhausted cities in the decline stage should adopt a compact spatial form of functions. This study has some limitations: (1) the regional heterogeneity of spatial form is not considered; (2) the urban spatial system evaluation method has room for optimization; (3) the potential impact of the location of urban spatial elements on UGTE has not been discussed.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"126 ","pages":"Article 106398"},"PeriodicalIF":10.5,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143899897","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":"A CycleGAN-Pix2pix framework for multi-objective 3D urban morphology optimization: enhancing thermal performance in high-density areas","authors":"Shiqi Zhou ,&nbsp;Weiyi Jia ,&nbsp;Haifeng Diao ,&nbsp;Xiwen Geng ,&nbsp;Yuwei Wu ,&nbsp;Mo Wang ,&nbsp;Yuankai Wang ,&nbsp;Haowen Xu ,&nbsp;Yijiao Lu ,&nbsp;Zhiqiang Wu","doi":"10.1016/j.scs.2025.106400","DOIUrl":"10.1016/j.scs.2025.106400","url":null,"abstract":"<div><div>Enhancing understanding of urban thermal environments is crucial for reducing energy consumption, improving resident comfort, and mitigating urban heat island effects. Previous studies rarely addressed the systematic optimization of local-scale three-dimensional (3D) urban spaces for thermal improvements. This study developed an integrated CycleGAN-Pix2pix-based (CP-GAN) model chain to automatically generate 3D urban morphology coupled with Local Climate Zones (LCZ)and perform performance assessment as well as morphology optimization. The approach was applied to six typical sites in Hong Kong to optimize four variables of urban thermal environments: summer solar radiation (SSR), Universal Thermal Climate Index (UTCI), optimal UTCI area (UTCIA), and floor area ratio variance (FARV). The results showed that (1) CP-GAN model achieved a 0.028 higher average SSIM compared to the previous Pix2pix model, validating its efficiency. (2) The iterated optimal Pareto solutions significantly improved thermal performance compared to the initial morphology, particularly in samples characterized by compact mid-rise buildings, achieving the best optimization results. (3) Four primary optimization strategies were identified: increasing building heights in a suitable interval, reducing building volumes and their variability, expanding green spaces, and arranging building layout rationally. This integrated framework supports sustainable urban design and regeneration, contributing to more livable and resilient cities.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"126 ","pages":"Article 106400"},"PeriodicalIF":10.5,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143891776","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":"Implementing blue-green infrastructures in cities – A methodological approach considering space constraints and microclimatic benefits","authors":"Philipp Stern ,&nbsp;Magdalena Holzer ,&nbsp;Florian Kretschmer","doi":"10.1016/j.scs.2025.106391","DOIUrl":"10.1016/j.scs.2025.106391","url":null,"abstract":"<div><div>In the context of globally rising temperatures, the imperative for climate change adaptation measures in cities is becoming increasingly apparent. Blue-green infrastructures (BGI) are recognised for their heat mitigating effects. However, urban settlements frequently face spatial constraints, that hinder their implementation. Consequently, this article introduces a methodological approach to systematically describe and assess urban street space to indicate possible space availability for BGI implementation in dense urban areas. We propose two scenarios, one context sensitive and one more disruptive, to free up and increase available space by altering current street usage while maintaining initial street functionality. Compositions of BGI were implemented in the scenarios according to space availability and their anticipated heat mitigation potency. Microclimatic computer simulation served to assess related temperature reducing capacities of the newly implemented BGI. The methodological approach was applied in a historic part of Vienna, Austria. Investigations clearly showed a positive correlation of the extent of BGI implementation and the reduction of physiological equivalent temperature (PET). Correlating space consumption and temperature reducing capacity of BGI implementations revealed differences in microclimatic and spatial efficiency. Most efficient reductions of PET were observed when 10–25 % of street surface was allocated for BGI. Our study suggests that allocating around 10 % of street surface for new BGI implementation can lead to considerable reductions of PET emphasising the potential for effective urban heat mitigation strategies. The results and the method developed provide new insights and possibilities for strategic urban planning, implementing heat mitigation strategies in dense urban areas while supporting existing concepts for the sustainable transformation of cities.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"126 ","pages":"Article 106391"},"PeriodicalIF":10.5,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143918057","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":"Spatial heterogeneity, interaction and multi-scale effects of driving factors of heat island intensity in different urban agglomerations","authors":"Shouhai Shi ,&nbsp;Shunping Ji ,&nbsp;Zhaohui Luo","doi":"10.1016/j.scs.2025.106401","DOIUrl":"10.1016/j.scs.2025.106401","url":null,"abstract":"<div><div>Quantifying the spatial heterogeneity of Surface Urban Heat Island (SUHI) and its driving mechanisms is essential for proposing sustainable heat mitigation measures. However, the spatial relationship between various factors and SUHI across different urban agglomerations, as well as the synergistic effects of multiple factors on it, remain unclear. This study analyzes SUHI patterns and their drivers from the perspectives of spatial heterogeneity, interaction and multi-scale effects of driving factors across three urban agglomerations (urban agglomeration of Chengdu-Chongqing (UACC), the Yangtze River middle reaches (UAYZMR), and the Yangtze River delta (UAYZD)) in China with multiscale geographically weighted regression and optimal parameter geographical detector. The results included: (1) Distinct dominant drivers across regions—UACC exhibited strongest elevation control (<em>q</em> = 0.73) coupled with artificial lighting impacts, UAYZMR showed balanced vegetation-elevation interactions (<em>q</em> = 0.35), while UAYZD demonstrated comparable vegetation and urbanization influences (<em>q</em> = 0.37). (2) Strong interaction effects existed between factors, with SUHIs in UACC and UAYZMR primarily influenced by vegetation-terrain interactions, while SUHIs in UAYZD were driven by vegetation-urbanization interactions. (3) Scale-dependent spatial heterogeneity in both direction and intensity of driving forces. These findings advocate for differentiated urban planning: prioritizing terrain-adaptive designs in mountainous cities, large-scale green infrastructure in transitional zones, and compact green-blue networks in coastal megacities. This study provides a transferable framework for developing spatially-tailored and sustainable heat resilience strategies across diverse urban contexts.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"126 ","pages":"Article 106401"},"PeriodicalIF":10.5,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143888068","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 joint health risks of PM2.5 pollution wave and cold spell in eastern China","authors":"Yujia Huang ,&nbsp;Pei Yu ,&nbsp;Wenzhong Huang ,&nbsp;Rongbin Xu ,&nbsp;Yanming Liu ,&nbsp;Yuming Guo ,&nbsp;Lei Huang","doi":"10.1016/j.scs.2025.106390","DOIUrl":"10.1016/j.scs.2025.106390","url":null,"abstract":"<div><div>Based on 1800,669 mortality records collected during 2008–2018, we estimated the mortality risk and identified the vulnerable subpopulations of joint effects of the air pollution wave and the cold spell in eastern China. Here, air pollution waves were defined as daily mean fine particulate matter higher than a threshold (P1/P2/P3/P4: 75/115/120/150 μg/m³) for at least two days. Cold spells were defined as daily mean temperature below a threshold (T1/T2/T3: 10th/5th/2.5th percentile) for at least two days. A quasi-Poisson regression model combined with a distributed lag linear model was used to estimate the city-specific joint effects. When defined by P4T3, the highest pooled relative risks 2.07 (95 %CI: 1.73–2.48) of all-cause mortality was discovered cross Jiangsu province. The strongest relative excess risk due to interaction were observed in Suzhou (P3T3, 4.25, 95 %CI: 3.45–5.23). Generally, higher mortality risks were in cardiovascular disease, respiratory disease, and mental and behavior disorders disease. Moreover, the female, elderly, not married, and higher educated individuals and the residents in coastal and southern cities were more vulnerable to joint events. These findings are crucial for the development of local health and climate policies to reduce the health impacts of extreme weather and air pollution under climate change.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"126 ","pages":"Article 106390"},"PeriodicalIF":10.5,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143888069","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":"Experimental and computational predictions of odorant transport dynamics from indoor environment to olfactory tissue","authors":"Islam M.S. Abouelhamd ,&nbsp;Kazuki Kuga ,&nbsp;Kazuko Saito ,&nbsp;Megumi Takai ,&nbsp;Takahiro Kikuchi ,&nbsp;Kazuhide Ito","doi":"10.1016/j.scs.2025.106397","DOIUrl":"10.1016/j.scs.2025.106397","url":null,"abstract":"<div><div>The intricate dynamics of odorants in the indoor environment and human respiratory system remain poorly understood. In the present study, we integrate odor sensory tests (OSTs) and computational fluid dynamics coupled with a physiologically based pharmacokinetic (CFD-PBPK) model to elucidate various aspects of odorant transport and olfaction dynamics. Safe yogurt-derived substances were incorporated into OSTs to prevent harmful exposure. Acetaldehyde was identified as a key active component in determining odor intensity, prompting further analysis of acetone and other four constituents. Logarithmic correlations were established between the perceived odor intensity from the OSTs and both time-averaged absorption flux and equilibrium concentration within the olfactory mucus layer. These parameters were numerically captured, enabling the logarithmic approximation of odor intensity for different breathing profiles and developing reliable prediction models for odor sensation in the indoor environment based on quantifiable physiological parameters. Location-specific analysis revealed the nostrils and olfactory regions as the most accurate indicators of perceived odor intensity, proving the limitations of rough sensory assessments in the indoor/breathing zone scales. This study offers insights for potential safe and sustainable applications, such as smart odor displays, e-noses, and sensors/control systems in the indoor environment, particularly for long-term exposure in industries that emit harmful compounds.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"126 ","pages":"Article 106397"},"PeriodicalIF":10.5,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143887616","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":"Spatial-temporal variation of surface temperature and cold island network construction in the Yangtze River delta urban agglomeration: Perspectives from current and future scenarios","authors":"Jiayang Gao ,&nbsp;Liping Qu ,&nbsp;Wei Wu","doi":"10.1016/j.scs.2025.106396","DOIUrl":"10.1016/j.scs.2025.106396","url":null,"abstract":"<div><div>In the context of global climate change and rapid urbanization, the Urban Cold Island (UCI) effect plays a crucial role in improving urban thermal environments and enhancing residents’ quality of life. Existing research primarily addresses urban heat issues from isolated blue-green space perspectives, with limited focus on the connectivity and spatiotemporal dynamics of cooling island networks. This study identified Cooling Island Core Sources (CICS), corridors, and cool nodes, and constructs cooling island networks from 2000 to 2020 using land surface temperature (LST) data. The study also predicted future cooling island networks by projecting LST for 2030 and 2060 under natural and dual-carbon scenarios. Results indicated the LST in the high-temperature areas generally exceeds 35 ℃, while the LST in the low-temperature areas is mostly below 28 ℃. Future scenario simulations indicate that the LST in high-temperature areas may increase by 2-4 ℃.In 2010 and 2020, the CICS expanded significantly in the southern and western regions, particularly around the Hefei and Hangzhou metropolitan areas, where connectivity-rich corridors had gradually increased. Under the carbon peaking and carbon neutrality goals in 2030 and 2060, cooling island network connectivity was notably higher than in natural development scenario, with the number and distribution of high-connectivity corridors expanding in the Suzhou-Hangzhou area. The cold island network system has transitioned from “centralized network” to “zonal network”, with its spatial layout shifting from large-scale dispersed pattern to small-scale clustered pattern, which is conducive to enhancing its effectiveness in mitigating the urban heat island effect.This study provides a scientific basis for urban blue-green space planning, offering new perspectives for constructing future cooling island networks.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"126 ","pages":"Article 106396"},"PeriodicalIF":10.5,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143891775","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 integrating factors and size thresholds affecting cooling effects in urban parks: A diurnal balance perspective","authors":"Junyi Li ,&nbsp;Daoyuan Chen ,&nbsp;Jingyao Ou ,&nbsp;Quanquan Rui ,&nbsp;Bowen Jin ,&nbsp;Zhipeng Zhu ,&nbsp;Guochang Ding","doi":"10.1016/j.scs.2025.106386","DOIUrl":"10.1016/j.scs.2025.106386","url":null,"abstract":"<div><div>Urban parks play a key role in mitigating urban heat island effects, yet the diurnal dynamics influencing their cooling performance remain insufficiently explored. This study investigated the diurnal variations in cooling effects across different types of urban parks in Fuzhou, China. Using multiple stepwise regression, the influence of two-dimensional (2D) and three-dimensional (3D) factors on diurnal cooling patterns was assessed. Additionally, cooling thresholds were identified based on the law of diminishing marginal utility. Results indicated that the park cooling intensity (PCI), park cooling gradient (PCG) and park cooling area (PCA) generally increased with park size throughout the day, whereas the park cooling efficiency (PCE) declined. The key determinants of cooling effects varied with park types: the difference between the contribution of 2D and 3D factors to the cooling effect of small and medium parks was not significant throughout the day, whereas large parks were primarily influenced by 2D factors. Buffer characteristics significantly affected cooling effects of all park types. The threshold value of cooling efficiency (TVoE) and the threshold value of cooling benefit (TVoB) varied across park types and exhibited temporal dynamics. These findings support balanced strategies for diverse urban parks' cooling goals from an all-weather perspective, effectively addressing urban heat challenges.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"126 ","pages":"Article 106386"},"PeriodicalIF":10.5,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143864007","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":"Mapping carbon emissions and exploring its spatiotemporal dynamic based on local climate zones and landscape ecology theory across Beijing-Tianjin-Hebei","authors":"Tingting Xie ,&nbsp;Bin Guo ,&nbsp;Dingming Zhang ,&nbsp;Peiqing Jing ,&nbsp;Haojie Wu ,&nbsp;Shixin Zhang ,&nbsp;Jun Li ,&nbsp;Chengye Zhang","doi":"10.1016/j.scs.2025.106393","DOIUrl":"10.1016/j.scs.2025.106393","url":null,"abstract":"<div><div>A comprehensive understanding of carbon emissions (CE) spatiotemporal dynamics is a prerequisite for achieving carbon dioxide emissions peak and carbon neutrality aim and taking measures to mitigate climate warming. Although the impact of urban morphology on CE is confirmed by prior studies, the differences of CE for each sector in constructing the CE estimation model were ignored leading to CE datasets with relatively coarse resolution. Here, we propose a new scheme to improve the resolution of CE products based on Local Climate Zones (LCZ) and landscape ecology theory using novel extra proxy data. We classify LCZ using the Google Earth Engine (GEE) platform, quantify urban morphology parameters, and analyze the correlation of CE with urban morphology, population density (Pd), and nighttime light imagery (NTL). Using a CE estimation model to generate 500 m CE data and explore its spatiotemporal dynamic. The results indicate that the LCZ classification accuracy is acceptable (<span><math><mover><mrow><mi>O</mi><mi>A</mi></mrow><mo>‾</mo></mover></math></span> = 86.59 %, Kappa coefficient &gt; 80 %). CE is closely related to Pd, the Connectivity Index, the Largest Patch Index, the Splitting Index, and the Contagion Index. The simulation accuracy of residential and service CE (R² = 0.99) and industrial CE (R² = 0.83) is well. CE in the BTH shows an aggregation feature, and the gravity center of residential and service CE shifts southeastward, while the gravity center of industrial CE shifts eastward. This study provides a reference and guidance for estimating CE datasets and formulating carbon reduction strategies.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"126 ","pages":"Article 106393"},"PeriodicalIF":10.5,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143877130","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}