Sustainable Cities and Society最新文献

{"title":"Integration of resilience-based community physical infrastructure system performance and community performance correlation relationships","authors":"Juan Zhang ,&nbsp;Pingyuan Liu ,&nbsp;Ming Lei ,&nbsp;Guofeng Du ,&nbsp;Mingyuan Zhang","doi":"10.1016/j.scs.2025.106862","DOIUrl":"10.1016/j.scs.2025.106862","url":null,"abstract":"<div><div>As the basic units of cities, resilient communities are essential to building resilient and sustainable cities. Community resilience is inextricably linked to subsystems (i.e., buildings, physical infrastructures), so the relationship between them has consistently been a focal point of research. Therefore, this paper introduced a novel method for establishing a relationship between community performance goals (CPG) and community subsystem performance goals (CSPG). Firstly, a community performance assessment framework and model were established from the technical dimension. Then, the community initial performance (CIPG) considering earthquake disaster was set through selecting appropriate parameters. Subsequently, the CPG was decomposed into the community vital function performance goals (CVFPG) through the event tree method, and then the CSPGs were derived similarly. Finally, the proposed method was used in a community in Dalian, China. Then, the CVFPGs and CSPGs were obtained using the proposed method. The result showed that to satisfy the CPG, the CSPGs must be superior to the CPG, and demonstrated the feasibility of decomposing CPGs to obtain CSPGs. The proposed framework can effectively establish the connection between the CPGs and the CSPGs, and can be decomposed to obtain the CSPGs. The method proposed in this paper can link CPGs with the design norms and standards of subsystems while providing relevant designers with a technical approach to adjust the performance goals at the component, system, and community levels.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"133 ","pages":"Article 106862"},"PeriodicalIF":12.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223091","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":"Assessing scale-dependent urban wind loss patterns: A CFD analysis of realistic urban segments from 1980 to 2020","authors":"Ran Wang ,&nbsp;Ziwei Mo ,&nbsp;Di Mei ,&nbsp;Wai-Chi Cheng ,&nbsp;Kangcheng Zhou ,&nbsp;Chun-Ho Liu","doi":"10.1016/j.scs.2025.106841","DOIUrl":"10.1016/j.scs.2025.106841","url":null,"abstract":"<div><div>Quantifying the impact of urbanization on wind speed remains a significant challenge due to the limitations of point-based observation and coarse-resolution mesoscale modeling. This study employed a micro-scale computational fluid dynamics (CFD) method to examine wind patterns around three urban segments within circles of 2-km radius in Shunde, Zhongshan, and Shenzhen, China, across different stages of urbanization from 1980 to 2020. The influences of spatial scales (2-km, 1-km, 0.5-km, 0.3-km, and 0.1-km radii) and wind directions on wind speed were analyzed, and the urbanization effect was assessed using the surface wind loss rate (<em>SWLR</em>) and boundary-layer wind loss rate (<em>BWLR</em>). The results show that urbanization significantly slowed down wind speeds due to building blockage, expanding low-wind zones and creating localized high-wind areas. Spatial scale played a crucial role in evaluating the wind speed reduction during urbanization. Larger domains (1 km-2 km radii) captured wind speed changes associated with urban development, whereas small domains might either fail to reflect building growth or exaggerate urbanization effects due to high‐rise building effects. Wind direction variability has a more significant impact at smaller scales, especially in areas with tall urban structures. <em>SWLR</em> and <em>BWLR</em> notably increased from 1980 to 2000, with the most significant effects in highly urbanized areas. By 2020, <em>SWLR</em> in the 2-km and 1-km buffer zones reached 42 %-67 %, while <em>BWLR</em> in Shenzhen exceeded 31 % that were nearly double compared with those observed in other urban segments. The analysis reveals that building density (<em>λ_p</em>), building surface coverage ratio (<em>λ_b</em>), and frontal area density (<em>λ_f</em>) strongly correlated with <em>SWLR</em> through a logarithmic function at 1 km-2 km radius scales, but had a weaker relationship with <em>BWLR</em>. The findings offer valuable insights into the evolution of wind fields around observation stations in response to changes in building configurations and contribute to more accurate evaluations of urbanization on wind speed.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"133 ","pages":"Article 106841"},"PeriodicalIF":12.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223219","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":"Intelligent parking management for sustainable society: A data-driven demand elasticity incentive model","authors":"Nazmus Sakib ,&nbsp;A.S.M. Bakibillah ,&nbsp;Md Abdus Samad Kamal ,&nbsp;Kou Yamada","doi":"10.1016/j.scs.2025.106864","DOIUrl":"10.1016/j.scs.2025.106864","url":null,"abstract":"<div><div>Growing urban populations and increased vehicle ownership exacerbated parking shortages, leading to severe congestion and environmental impacts. Consequently, optimal parking allocation becomes a critical challenge for intelligent parking management systems when parking facilities approach capacity during peak demands. To address this issue, we propose an intelligent parking system that employs an incentive-based demand distribution strategy to maximize parking space utilization and mitigate peak-demand congestion. Specifically, a data-driven demand elasticity-based incentive model is designed to influence user behavior and efficiently distribute parking demand via optimal allocation. The system operates a demand response (DR) incentive program that proactively controls incoming vehicle flow via incentives and alternative parking options, smoothing peak demand. This program offers various benefits to parking users, such as access to better parking spots and balancing parking loads between peak and off-peak periods while maintaining user satisfaction. This approach utilizes multi-attribution decision-making (MADM) to operate innovative traffic distribution systems. Incorporating demand elasticity allows the model to quantify drivers’ responsiveness to incentives, enabling dynamic adjustments of demand distribution that improve parking space utilization and prevent over-saturation peak times. We evaluate the proposed system by simulation experiments considering a real parking lot in Gunma, Japan, where it alleviates peak parking congestion, reduces the time spent searching for spaces, and lowers parking delays, fuel consumption, and CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> emissions compared to conventional parking systems. The proposed system enhances parking efficiency and contributes to sustainable urban parking management by encouraging users to shift to off-peak hours.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"133 ","pages":"Article 106864"},"PeriodicalIF":12.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223220","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":"Decarbonization pathways and key emission drivers in ports: A scenario-based study of Shanghai Port","authors":"Rong Shi ,&nbsp;Yue Chen ,&nbsp;Shuxia Yang ,&nbsp;Xiaopeng Guo ,&nbsp;Xiongfei Wang","doi":"10.1016/j.scs.2025.106877","DOIUrl":"10.1016/j.scs.2025.106877","url":null,"abstract":"<div><div>Ports are critical points in the global logistics chain and are crucial for China to achieve its 2030 carbon peak goal. It is necessary to assess ports’ current carbon emission levels and predict future trends to formulate effective emission reduction strategies. However, differences among ports make it challenging to conduct a systematic assessment and prediction. Establishing a systematic port carbon emission analysis framework is important. An extended stochastic impacts by regression on population, affluence, and technology (STIRPAT)-Tapio-Monte Carlo modeling framework is developed to analyze port-related carbon emissions. The Shanghai Port is used as a case study. The model identifies key emission drivers and projects static and dynamic carbon emission trajectories. The results show the following. (1) The number of berths of special container terminals and the number of terminal companies in coastal ports are the dominant factors affecting peak emissions in static and dynamic forecasts, with average variance contribution rates of 78.428%, 49.45% and 49.56%, respectively. (2) In the static simulation, Shanghai Port’s mean peak time is 2027, with peak carbon emissions of 4.17 million tons and a peak probability of 3.7%. (3) In the dynamic simulation, the average peak years are 2028.56 and 2028.57, with peak carbon emissions of 3.97 million tons and peak probabilities of 46.26% and 47.12%. Recommendations regarding technical upgrades, organizational optimization, and market incentives are provided for governments and port enterprises. The proposed framework contributes to the global discourse on low-carbon port development and provides a decision-support tool for emission management in maritime transport systems.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"133 ","pages":"Article 106877"},"PeriodicalIF":12.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145269936","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":"Spatiotemporal evolution analysis of urban lifeline infrastructure disaster chain network based on numerical simulation and cascading effects","authors":"Kehan Zhang ,&nbsp;Chao Mei ,&nbsp;Jiahong Liu ,&nbsp;Jia Wang ,&nbsp;Tianxu Song ,&nbsp;Hongyuan Shi ,&nbsp;Anqi Zhang ,&nbsp;Xiaojie Cao","doi":"10.1016/j.scs.2025.106880","DOIUrl":"10.1016/j.scs.2025.106880","url":null,"abstract":"<div><div>Under the backdrop of frequent extreme climate events, urban lifeline infrastructures are becoming highly interdependent, and the propagation path of the disaster chain is becoming increasingly complex. To reveal the spatiotemporal evolution of lifeline infrastructure disaster chain network (LFSCN) under extreme rainfall events, a coupled urban flood numerical model integrating the Storm Water Management Model (SWMM)—a widely used hydrological-hydraulic simulation tool for urban drainage—and TELEMAC-2D, a two-dimensional hydrodynamic model for simulating surface flow, was developed. Based on the spatial relationships between 20 types of lifeline infrastructure and disaster-bearing bodies, a weighted and directed network was constructed, with 0.5 m water depth defined as the threshold for cascading failures. The results show that under extreme rainfall events, the LFSCN undergoes a staged yet nonlinear degradation process, characterized by a transition from localized disruptions to system-wide cascading failures. Among various infrastructures, the influence of the power supply was relatively prominent, and its failure was more likely to cause the degradation of multi-system linkage. Upon reaching stabilization, the disaster chain network damage index (DCNDI) under 50 yr, 100 yr, 200 yr, and ZZ 720 rainfall events were 0.20, 0.37, 0.45, and 0.81, respectively. The proposed integrated framework, combining flood simulation with network analysis, not only quantifies network damage but also captures cascading propagation processes, providing scientific support for identifying critical nodes, informing infrastructure optimization, and strengthening urban resilience and emergency preparedness.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"133 ","pages":"Article 106880"},"PeriodicalIF":12.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145269224","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":"Coupling renewable energy with urban greening: quantifying the sustainable development potential of photovoltaic-green roofs","authors":"Taoyu Chen ,&nbsp;Yantong Li ,&nbsp;Yi Zhang ,&nbsp;Hexu Ji ,&nbsp;Xinyu Wang ,&nbsp;Junjun He ,&nbsp;Qunyue Liu ,&nbsp;He Zhang","doi":"10.1016/j.scs.2025.106866","DOIUrl":"10.1016/j.scs.2025.106866","url":null,"abstract":"<div><div>Photovoltaic–Green Roof (PV-GR) systems, integrating clean energy production with ecological greening, represent an emerging form of three-dimensional greening with substantial potential to promote urban sustainability. However, most existing studies focus on isolated benefits, without a comprehensive assessment framework or consideration of future pathways. Consequently, the sustainable development potential of PV-GR systems remains insufficiently explored. To address this gap, we propose a scalable and replicable integrated evaluation framework to assess the sustainable development potential of PV-GR systems. The framework incorporates rooftop suitability identification, Area Solar Radiation, the Denitrification–Decomposition model, multidimensional SDG indicator quantification, and multi-scenario dynamic simulation. Using the high-density urban core within Fuzhou’s Third Ring Road as a case study, we identified approximately 975.23 hectares of potentially suitable rooftop space. Under full deployment, PV-GR systems could annually generate 5936 GWh of electricity, reduce carbon emissions by 4.118×10⁶ t CO₂, and generate 1.079×10⁶ kg C yr⁻¹ of green biomass. Additionally, the PV-GR could create 75,092 jobs, deliver 2.401×10⁹ CNY in economic returns, and retain 5.013×10⁶ m³ of rainwater annually. Two future scenarios were simulated: S1 Photovoltaic–Green Roof Synergy Scenario and S2 Policy Incentive Scenario. Vegetation was found to enhance photovoltaic efficiency, leading to steady increases in electricity generation and carbon reduction—by up to 20.37 % and 6.7 %, respectively. Moreover, policy incentives significantly amplified system benefits. The findings reveal the sustainable development potential of PV-GR systems and offer a scalable and replicable framework to support the deployment of three-dimensional greening and the formulation of sustainable urban policies.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"133 ","pages":"Article 106866"},"PeriodicalIF":12.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223090","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":"Assessing and mitigating carbon emission exposure in dynamic multimodal transport networks","authors":"Yaxin Wu ,&nbsp;Xiaowei Hu ,&nbsp;Yujia Wang ,&nbsp;Yu Jiang","doi":"10.1016/j.scs.2025.106852","DOIUrl":"10.1016/j.scs.2025.106852","url":null,"abstract":"<div><div>On-road carbon emissions from heterogeneous traffic flows in multimodal urban transportation systems pose a significant risk to public health. Developing effective instruments to mitigate these emissions requires accurate modelling and assessment of their impact on the environment. To this end, this study establishes a holistic framework that integrates two interrelated components: 1) a multimodal dynamic traffic assignment model for obtaining equilibrated flow distributions, and 2) a Gaussian plume model, underpinned by a multi-category vehicle carbon emission model, to assess the spatiotemporal distribution of exposure. Numerical experiments demonstrate the model convergence and evaluate its performance under multiple scenarios. Results show that incorporating the proposed carbon emission cost and exposure cost into dynamic traffic assignment can simultaneously reduce carbon emissions and exposure risks, underscoring the necessity of jointly considering both factors in path choice modeling to achieve sustainable urban mobility and the broader development of low-carbon, healthy cities.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"133 ","pages":"Article 106852"},"PeriodicalIF":12.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223260","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":"Where do resilient cities grow? Exploring the pathways and mechanisms of resilience development","authors":"Ting Wang ,&nbsp;Tingbao Xu ,&nbsp;Zhiqiang Wang ,&nbsp;Huimin Wang ,&nbsp;Jinle Kang ,&nbsp;Lei Qiu ,&nbsp;Shi Xue ,&nbsp;Zhou Fang ,&nbsp;Yue Zhang","doi":"10.1016/j.scs.2025.106856","DOIUrl":"10.1016/j.scs.2025.106856","url":null,"abstract":"<div><div>Why do some cities show greater resilience than others within the same estuarine delta region? While many studies have identified the factors of urban resilience, few have examined how these factors interact to produce resilient outcomes under different local conditions. This study proposes a two-pronged methodology combining “calculation” and “explanation” to explore the mechanisms shaping resilience in estuarine delta cities. Using data from the Yangtze River Delta (YRD), this study integrated fuzzy-set Qualitative Comparative Analysis (fsQCA) and Necessary Condition Analysis (NCA) to identify not only the main drivers but also the specific configurations through which resilience develops. The spatial clustering of urban resilience revealed a geographically concentrated pattern of resilience performance, highlighting significant differences in institutional response and development paths across cities. Additionally, it found that industrial transformation and environmental governance are vital for improving urban resilience. Four distinct yet equally effective development pathways have been identified: Multidimensional Collaborative, Infrastructure–Economy Dominant, Green Development, and Livable Economy–Supported. Each pathway aligns with specific city profiles and capacity conditions. This work offers a practical and adaptable framework for building resilience in delta megaregions, supporting context-sensitive policy design that addresses structural and systemic urban vulnerabilities.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"133 ","pages":"Article 106856"},"PeriodicalIF":12.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223093","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":"Regulating regional resource environmental effect through systematic integration of nexus-based environmental carrying capacity and multiple environmental footprints","authors":"Yizhong Chen ,&nbsp;Lingzhi Yang ,&nbsp;Lan Yao ,&nbsp;Jing Li","doi":"10.1016/j.scs.2025.106861","DOIUrl":"10.1016/j.scs.2025.106861","url":null,"abstract":"<div><div>This study investigates the resource environmental effect (REE) in the Beijing–Tianjin–Hebei urban agglomeration from a multi-factor perspective, in which the past-to-future environmental carrying capacity (ECC) based on water–land–energy–food nexus and multiple environmental footprints are evaluated under uncertainty. The three-dimensional Rubik’s cube model is utilized to categorize the region into distinct units for REE regulation. Results reveal a sustained increase in REE and environmental pressure (EEP), growing by 9.92 % and 5.38 % in the future, respectively. The ECC remains in a moderately disharmonious state, with its trajectory expected to shift from past growth to future decline. Land and energy subsystems are the primary constraints on resource and environmental improvement, contributing 51.39 % and 27.95 % to the total REE, respectively. The urban agglomeration’s northern area exhibits a higher REE than the southern area. Uncertainty analysis reveals that lowering the indicator threshold improves the overall ECC and REE, which change by +7 % and –5 %, respectively. In contrast, increasing the threshold leads to a notable degradation, with changes of –23 % and +26 %, respectively. Notably, the energy subsystem demonstrates opposite responses to these adjustments. Qinhuangdao, Zhangjiakou, Chengde, Langfang, and Hengshui characterized by high REE and low ECC (high EEP) should be prioritized for regulation. The overall REE in Beijing and Tianjin is relatively low; however, the carrying capacity of their water, land, and food subsystems poses a potential risk to regional development. These findings can offer a scientific basis for safeguarding resource security and fostering harmony between human activities and nature.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"133 ","pages":"Article 106861"},"PeriodicalIF":12.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223095","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":"Differentiated landscape pattern transformation strategies drive territorial space carbon neutrality: A path exploration based on mixed land use units","authors":"Houbao Fan ,&nbsp;Xiaobin Jin ,&nbsp;Junjun Zhu ,&nbsp;Zhouyao Zhang ,&nbsp;Chunguang Hu ,&nbsp;Han Hu ,&nbsp;Xiaoya Du ,&nbsp;Yinkang Zhou","doi":"10.1016/j.scs.2025.106865","DOIUrl":"10.1016/j.scs.2025.106865","url":null,"abstract":"<div><div>Revealing the mechanism of landscape pattern on carbon emissions under the mixed land use units provides important insights for implementing dual carbon goals and territorial space planning. This study takes Jiangyin as the study area to develop a refined territorial carbon budget accounting system. Based on the data of land use proportion and intensity, the self-organizing map network model was applied to classify the mixed land use units. The interpretable machine learning model was used to analyze the impact of multidimensional landscape pattern on carbon emissions. The results show that: (1) There is a significant gap between carbon source emissions and carbon sink capacity in Jiangyin. The total amount of carbon source was 2349.938×10⁴ tC, with an average carbon source intensity was 2.986×10⁴ tC/km², while the total carbon sink was only 24983.809 tC. Industrial land is the major contributor to carbon emissions, whereas forestland and cropland serve as the primary carbon sinks. (2) High-carbon regions are mainly concentrated in the northern industrial development zone along the Yangtze River and the industrial parks in the central eastern area. Low-carbon regions are mainly located in forest covered hilly and mountainous areas at higher elevations, as well as in crop cultivation areas in the southern part. (3) Thirteen zones of mixed land use units were identified, among which the carbon emission intensity of green ecological protection zone was the lowest, and the carbon emission intensity of agricultural production transition zone was 7.58 times that of agricultural production core zone. (4) The relationship between landscape patterns and carbon emissions varies significantly across different mixed land use units, exhibiting complex nonlinear relationships. This study recommends establishing differentiated landscape pattern transformation strategies based on mixed land use units and advancing the territorial space carbon neutrality by regulating land spatial configuration and enhancing ecological connectivity.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"133 ","pages":"Article 106865"},"PeriodicalIF":12.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223217","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}