Sustainable Cities and Society最新文献

{"title":"Multi-criteria decision support framework for outdoor heat stress management in urban environments","authors":"","doi":"10.1016/j.scs.2024.105799","DOIUrl":"10.1016/j.scs.2024.105799","url":null,"abstract":"<div><p>In the face of warming climates, urban planners are increasingly preparing and protecting urban communities from growing risks of heat exposure. There is a need for comprehensive decision support frameworks that can aid urban planners in their efforts to provide context-based solutions to heat exposure in urban environments. The framework proposed in this study enables evidence-based decision-making for heat stress management. The framework incorporates climate classifications, climate data, cooling strategies, heat stress indicators with thresholds, and analysis methods. The proposed framework is implemented in Phoenix-Mesa-Scottsdale Metropolitan Area using thirteen measurement points. The impact of vegetation cover on heat stress is evaluated using the Normalized Difference Vegetation Index and Heat Index from June 2023 to August 2023. The research findings indicate a strong correlation between nighttime heat stress and vegetation cover, with an R² value of 0.46 at 50 m, 0.59 at 100 m, 0.67 at 250 m, and 0.67 at 500 m radius around the measurement points. The study demonstrates an overall decrease in heat stress with an increase in vegetation cover during summer, daytime, and nighttime analysis. This framework provides a user-friendly and easy to apply decision support framework to manage outdoor heat stress during climate change.</p></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":null,"pages":null},"PeriodicalIF":10.5,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142148458","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":"Elevating urban surveillance: A deep CCTV monitoring system for detection of anomalous events via human action recognition","authors":"","doi":"10.1016/j.scs.2024.105793","DOIUrl":"10.1016/j.scs.2024.105793","url":null,"abstract":"<div><p>In the face of urbanization and the widespread use of CCTV cameras, the processing of surveillance videos has gained importance. This study endeavors to create a city-wide monitoring system utilizing human action recognition that can elevate the social sustainability of citizens. The primary goal is to develop an entire framework to detect unusual events within urban environments, with a specific focus on identifying four aberrant actions: “falling,” “violence,” “loitering,” and “intrusion.”. The processing of CCTV images is vulnerable to adverse weather conditions, particularly impacting human detection and tracking when obstructions like body parts occlusion, such as during falling events. To address these challenges, the paper proposes tracking compensation techniques that boost the system’s ability to detect anomalies without requiring additional training. The proposed approach demonstrates a remarkable 21.21% enhancement in detecting falling events, without compromising its handling of other event types. Overall, the system achieves an impressive average F1 score of 93% across diverse event categories. The system’s effectiveness is thoroughly assessed through an extensive subway domain case study, shedding light on its robustness and adaptability for potential real-world deployment. This study also delves into transfer learning dynamics based on sample quantity and pre-training with relevant human-of-interest data.</p></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":null,"pages":null},"PeriodicalIF":10.5,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142161712","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 framework for achieving urban sustainable development goals (SDGs): Evaluation and interaction","authors":"","doi":"10.1016/j.scs.2024.105780","DOIUrl":"10.1016/j.scs.2024.105780","url":null,"abstract":"<div><p>Sustainable development is a complex system involving multiple dimensions of society, economy, resources and environment. It is of great significance to evaluate the sustainable development level and explore the interactions among sustainable development goals (SDGs) for the promotion of sustainability. In present study, a localized urban sustainable development evaluation framework was first proposed. Then, taking Shandong Province as an example, the spatiotemporal variations and goal evenness of sustainability were investigated. Finally, synergies and trade-offs between SDGs were revealed. The results showed that the sustainable development level has improved slightly from 2011 to 2020 in Shandong Province, exhibiting a dual-core pattern with Jinan and Qingdao. Shandong Province performed relatively well in SDG 1 (no poverty), SDG 2 (zero hunger), SDG 9 (industry, innovation, and infrastructure), and SDG 11 (sustainable cities and communities). The unevenness existed in sustainable development, indicating that the development process varied from one goal to another and there were obvious differences among cities for the same goal. Relatively weak synergies and trade-offs relationships were mainly observed between SDGs, and the interactions were in a changing state. Analyzing the sustainable development level from multiple perspectives and promoting multi-goal coordinated development are vital for achieving urban sustainable development.</p></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":null,"pages":null},"PeriodicalIF":10.5,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142148457","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 tight coupling model for urban flood simulation based on SWMM and TELEMAC-2D and the uncertainty analysis","authors":"","doi":"10.1016/j.scs.2024.105794","DOIUrl":"10.1016/j.scs.2024.105794","url":null,"abstract":"<div><p>The urban flood of rainstorm has posed a major threat to human life and property in recent years, seriously affecting the sustainable development of society. The numerical model can simulate how an urban flood develops and moves, and then guide how to reduce the disaster's impact. This study develops a tight coupling model named STUFMS based on Storm Water Management Model (SWMM) and TELEMAC-2D for urban flood simulation. Theoretical and practical cases were respectively applied to verify the reasonability and accuracy of the model. The theoretical case demonstrates that the STUFMS can better simulate the process of water exchange between the surface and rainwater drainage systems while the practical case suggests that the change in water level and the flooded area simulated by the STUFMS are basically consistent with the typical historical rainfall events. The uncertainty analysis revealed that terrain resolution and temporal resolution of rainfall series have a significant impact on the inundation scopes. Generally, the STUFMS model behaved well in simulating the urban flood process, offering a novel tool for numerical modeling of urban flood.</p></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":null,"pages":null},"PeriodicalIF":10.5,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142148451","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":"Asymmetric Nash bargaining model for operation optimization of multi-integrated energy systems considering peer-to-peer energy trading","authors":"","doi":"10.1016/j.scs.2024.105791","DOIUrl":"10.1016/j.scs.2024.105791","url":null,"abstract":"<div><p>Energy interactions across integrated energy systems constitute crucial means to enhance energy efficiency and match supply and demand. However, the cooperative operation and benefit distribution among multiple integrated energy systems still need in-depth exploration. To fill this gap, this paper presents an asymmetric Nash bargaining optimization model for multiple integrated energy systems considering peer-to-peer trading. First, a scheduling model for multi-integrated energy systems is formulated considering carbon trading. Then, the model is incorporated into Nash bargaining framework and transformed into the alliance cost minimization subproblem and peer-to-peer trading payment bargaining subproblem. The bargaining power factor is introduced to measure the contribution of participants in energy sharing. The alternating direction multiplier method is utilized to handle the proposed model. Finally, a case study is carried out to validate the validity of the proposed strategy. The results show that compared with the independent operation mode, the performances of three integrated energy systems in collaborative operation mode are enhanced by 11.7 %, 9.0 %, and 4.8 % respectively. The distributed algorithm can reduce the computation time by 30 % and obtain highly efficient solutions while protecting private information of each participant. This research provides support and practical tools for conducting peer-to-peer transactions of multiple integrated energy systems.</p></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":null,"pages":null},"PeriodicalIF":10.5,"publicationDate":"2024-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142148453","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 creation of multi-level urban ecological cooling network to alleviate the urban heat island effect","authors":"","doi":"10.1016/j.scs.2024.105786","DOIUrl":"10.1016/j.scs.2024.105786","url":null,"abstract":"<div><p>In the context of global warming and rapid urbanization, the surface urban heat island (UHI) effect has become increasingly serious. Research on UHI effect mitigation can provide useful references for urban planners and decision-makers, and is of great significance for sustainable urban development. However, few studies have considered UHI mitigation from a network perspective, not to mention the multi-level network. Therefore, oriented to the practical needs of urban master planning, this study took Hefei city as a case study, combined the methods of morphological spatial pattern analysis (MSPA), landscape connectivity analysis and circuit theory, and proposed a new approach for UHI mitigation by creating the ecological cooling network at multi-level. The results showed that: (1) 19 heat source patches and 24 cold source patches were identified, which were mainly distributed in the main urban area and the suburbs, respectively. (2) The central urban area had higher resistance values to the diffusion process of hot and cold air flow than the surrounding areas. (3) 71 corridors and 46 barrier points between cold-heat sources were obtained at metropolitan level, while 41 corridors and 70 pinch points between heat-heat sources were obtained at main urban area level. (4) The UHI effect can be potentially alleviated by strengthening the connectivity of cold-heat sources and breaking the connectivity of heat-heat sources. The approach proposed in this research can provide new insights for the compilation of climate-resilient urban planning and the formulation of UHI mitigation strategies.</p></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":null,"pages":null},"PeriodicalIF":10.5,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142148452","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":"Towards equitable infrastructure asset management: Scour maintenance strategy for aging bridge systems in flood-prone zones using deep reinforcement learning","authors":"","doi":"10.1016/j.scs.2024.105792","DOIUrl":"10.1016/j.scs.2024.105792","url":null,"abstract":"<div><p>Bridges play a critical role in transportation networks; however, they are vulnerable to deterioration, aging, and degradation, especially in the face of climate change and extreme weather events such as floodings. Furthermore, bridges can significantly affect social vulnerability; their damage or destruction can isolate communities, inhibit emergency responses, and disrupt essential services. Maintaining critical bridges in a cost-effective and sustainable manner is crucial to ensure their longevity and protect vulnerable communities. To address the maintenance optimization problem of bridge systems considering the effects of time deterioration, flood degradation, and social vulnerability, this study proposes a deep reinforcement learning algorithm to optimally allocate resources to bridges that are at expected cost of failure due to scour. The algorithm considers the effects of flood degradation with different return periods and is trained using a Markov Decision Process as the environment. The study conducts four flood simulation scenarios using Geographic Information System data. The findings suggest that the deep reinforcement learning algorithm proposes a sequence of repair actions that outperforms the status quo, currently employed by bridge managers. The significance of this study lies in its valuable insights for cities worldwide on how to effectively optimize their limited resources for the maintenance and rehabilitation of critical infrastructure systems to decrease portfolio cost and increase social equity.</p></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":null,"pages":null},"PeriodicalIF":10.5,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2210670724006164/pdfft?md5=9cf3d4d2bbbfee8387dabdea8e1e6007&pid=1-s2.0-S2210670724006164-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142161713","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":"Coordinated restoration of interdependent critical infrastructures: A novel distributed decision-making mechanism integrating optimization and reinforcement learning","authors":"","doi":"10.1016/j.scs.2024.105761","DOIUrl":"10.1016/j.scs.2024.105761","url":null,"abstract":"<div><p>The proper functioning of any society heavily depends on its critical infrastructures (CIs), such as power grids, road networks, and water and waste-water systems. These infrastructures consist of facilities spread across a community to provide essential services to its residents. Their spatial expansion and functional interdependencies make them highly vulnerable against natural/manmade disasters. Functional interdependencies mean that the functionality of components in one CI relies on the services provided by others. These features, combined with decentralized decision-making structure of CIs and the stochastic nature of post-disaster environments, highly complicate the optimization process for restoring CIs damaged in disasters. Optimizing CI restorations is critical to maximizing the post-disaster resilience of communities.</p><p>In this paper, we integrate and leverage Reinforcement Learning (RL) and optimization strengths to design a novel distributed modeling and solution approach for advancing the restoration process for interdependent CIs after disasters. The proposed approach (1) bridges the gap between integrative and distinct decision-making, enabling coordinated restoration planning for CIs within a decentralized decision-making context; (2) handles post-disaster uncertainties (e.g., uncertainty in recovery times of disrupted components); (3) generates adaptive solutions that cope with post-disaster dynamics (e.g., varying numbers of recovery teams); and (4) is flexible enough to handle several restoration decisions (e.g., restoration scheduling and resource allocation) simultaneously.</p><p>To evaluate its performance, we focus on restoring the road and power CIs in Sioux Falls, South Dakota, disrupted by several tornado scenarios. The numerical results show that coordinated policies in the restoration process of interdependent CIs consistently yield higher service for the community. The overperformance of the coordinated restoration policies can be as high as 27.9 %. The impact of coordination is more significant in severe disasters with higher disruptions and in the absence of efficient recovery resources.</p></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":null,"pages":null},"PeriodicalIF":10.5,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142173478","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 association between multi-mode transport and the built environment: A comparative study of metro, bus, taxi, and shared bike use","authors":"","doi":"10.1016/j.scs.2024.105789","DOIUrl":"10.1016/j.scs.2024.105789","url":null,"abstract":"<div><p>Urban transportation plays a pivotal role in sustainable city planning, with multiple transportation modes coexisting to achieve sustainable goals. Despite the extensive use of various mobility datasets to analyze mobility behaviors, comparative studies focusing on multiple transportation modes for origin-destination (OD) trips remain scarce. This study, conducted in Shenzhen, presents three in-depth comparative analyses: (1) variations in the utilization of metros, buses, taxis, and shared bikes; (2) the clustering patterns of OD flows across different modes; and (3) the influence of the built environment at origins and destinations on OD flows. The findings reveal that the use of public transportation and taxis mirrors the city's polycentric layout, with each transportation mode fulfilling distinct roles in linking disparate urban areas. The nonlinear effect of the built environment on OD flows exhibits mode-specific variations, particularly in relation to thresholds. Additionally, network topology characteristics are identified as significant factors in explaining OD flows for all modes. Despite observed differences in weekday and weekend OD flow clustering, the built environment consistently correlates with daily OD flows. These findings provide valuable insights to inform mode-specific strategies that enhance sustainable urban development.</p></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":null,"pages":null},"PeriodicalIF":10.5,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142128369","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":"Thermal performance and energy efficacy of membrane-assisted radiant cooling outdoors","authors":"","doi":"10.1016/j.scs.2024.105787","DOIUrl":"10.1016/j.scs.2024.105787","url":null,"abstract":"<div><p>Membrane-assisted radiant cooling systems offer a promising solution for directly cooling human bodies in outdoor settings. In this study a prototype system is experimentally assessed, which comprised of two wall-mounted panels and one ceiling-mounted panel with the cooling provided by a water chiller system. Three different radiant panel surface temperatures (<span><math><msub><mi>T</mi><mrow><mi>s</mi><mi>u</mi><mi>r</mi></mrow></msub></math></span> =14.3°C, 17.8°C, 21.9°C) were tested to observe possible condensation and to measure the heat flux, and a thermal comfort survey was conducted in combination to analyze the system energy efficacy. The results indicate that selecting appropriate panel surface temperatures under different ambient universal thermal climate index (UTCI) conditions can not only effectively avoid energy surplus but also improve thermal comfort for people. When the ambient UTCI is 38.1°C, the panel surface temperature needs to be lowered to 14.3°C to achieve neutral thermal sensation while 333.7 W of cooling energy is required; but when the ambient UTCI is 29.9°C, a panel surface temperature of 21.9°C would suffice with a much lower energy demand. It is also concluded that the surface condensation may occur but can be controlled. This experimental study provides solid data for the further development of radiant cooling technology for open-space applications.</p></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":null,"pages":null},"PeriodicalIF":10.5,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142161711","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}