Sustainable Cities and Society最新文献

{"title":"A novel domain knowledge augmented large language model based medical conversation system for sustainable smart city development","authors":"Haochen Zou,&nbsp;Yongli Wang,&nbsp;Anqi Huang","doi":"10.1016/j.scs.2025.106444","DOIUrl":"10.1016/j.scs.2025.106444","url":null,"abstract":"<div><div>The medical conversation system plays a significant role in smart healthcare services, contributing to the development of sustainable smart cities. While pre-trained large language models have exhibited impressive performance in general domain conversations, the effectiveness in medical applications remains limited due to the scarcity and inferior quality of domain-specific corpora. We introduce a domain knowledge augmented medical conversation system in Chinese, constructed on an advanced large language model with a reduced carbon footprint to support sustainable smart city development. The overall performance is enhanced through three key innovations, including retrieval augmentation from domain knowledge, dynamic masking training strategy, and prompt augmentation with question intention training data. To the best of our knowledge, this research represents initial efforts to integrate knowledge augmentation into a large language model-based medical conversation system in Chinese while actively controlling its environmental impact. Comparative experiments against state-of-the-art baseline models using comprehensive Chinese medical domain benchmark datasets demonstrate the efficiency of the proposed medical conversation system. The experimental results show remarkable improvements, with approximately 2% to 4% enhancement across evaluation metrics, underscoring the potential to facilitate smart healthcare services for sustainable smart cities. Future directions will concentrate on extending the Chinese domain-specific corpora, developing a multilingual medical conversation system, and designing efficient algorithms for refining the medical conversation system, which aims to reduce the carbon footprint while enhancing performance and generalization.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"128 ","pages":"Article 106444"},"PeriodicalIF":10.5,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144131447","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 flood resilience of urban rail transit systems through recovery resource scheduling optimisation: A case study of London","authors":"Wei Bi ,&nbsp;Jürgen Hackl ,&nbsp;Kristen MacAskill","doi":"10.1016/j.scs.2025.106437","DOIUrl":"10.1016/j.scs.2025.106437","url":null,"abstract":"<div><div>As heavy rainfall increasingly disrupts services of urban rail transit systems (URTSs), enhancing their resilience to flood risks is crucial to sustaining reliable public transport, particularly amid growing climate challenges. To investigate the effectiveness of potential interventions for mitigating post-flood impacts on URTS operations, this research introduces a novel application of genetic algorithms to optimise recovery resource scheduling for URTSs following large-scale flood-induced disruptions. The objective is to reduce economic impacts related to revenue loss and operational impacts concerning disruptions to passenger travel. By systematically integrating network topology, operational performance, flood disruption scenarios, and recovery profiles, the methodology is demonstrated through the London URTS under 30-year, 100-year, and 1,000-year flood risk scenarios. Compared to a topological attribute-determined benchmark, the optimised resource scheduling solutions have a tangible effect in reducing post-flood impacts. In the London case study, revenue loss can be reduced by 10.9%, 10.7%, and 6.7% across the respective flood scenarios, corresponding to savings of approximately £337K, £708K, and £760K, along with decreased unmet travel demand of 197K, 404K and 470K. These results demonstrate the significance of strategic resource scheduling in ensuring effective recovery from large-scale flood disruptions, offering valuable insights for disaster risk management, especially for extreme weather scenarios.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"128 ","pages":"Article 106437"},"PeriodicalIF":10.5,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144134949","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 smart cities policy on urban green growth in China: The mediating effect of urban resilience","authors":"Lihong Wang ,&nbsp;Feng Li ,&nbsp;Xuemei Li ,&nbsp;Shiwei Zhou","doi":"10.1016/j.scs.2025.106471","DOIUrl":"10.1016/j.scs.2025.106471","url":null,"abstract":"<div><div>Using panel data of 280 cities above prefecture-level in China between 2003 and 2021, this paper estimates the urban green growth by the super-efficient SBM-GML model and assesses the impact of smart city policy (<em>SCP</em>) on urban green growth by utilizing the time-varying difference-in-differences (TV-DID) model. Additionally, this paper systematically examines the influence of urban resilience (<em>UR</em>) on green total factor productivity (<em>GTFP</em>), and elucidates the mechanisms through which <em>UR</em> affects both smart city development and <em>GTFP</em> using mediation analysis. The main findings indicate that: (1) <em>SCP</em> promotes <em>GTFP</em> by enhancing technological effects, allocation effects, and structural effects. (2) <em>UR</em> significantly improves a city’s <em>GTFP</em>. Specifically, economic resilience fosters <em>GTFP</em> through technological progress and industrial upgrading, while social resilience contributes through green innovation. Ecological resilience improves <em>GTFP</em> through infrastructure development and government intervention, while infrastructure resilience helps alleviate labor mismatches and improve human capital, thereby promoting total factor productivity growth. (3) <em>UR</em> mediates the relationship between <em>SCP</em> and <em>GTFP</em>. (4) As revealed by heterogeneity analysis, <em>SCP</em> and <em>UR</em> on <em>GTFP</em> vary across regions, resource endowments, and city size. The policy effects in eastern regions are significantly stronger than those in the central and western regions; resource-based cities exhibit more pronounced effects than non-resource cities; and super-cities experience stronger policy effects than non-super cities. Finally, derived from empirical evidence, specific policy recommendations are outlined.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"128 ","pages":"Article 106471"},"PeriodicalIF":10.5,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144147598","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 resilience of green-grey infrastructure by integrating two redundancy strategies into a multi-objective optimization and service period assessment framework","authors":"Yu Zhang ,&nbsp;Haiwei Yin ,&nbsp;Dongqing Zhang ,&nbsp;Fanhua Kong ,&nbsp;Jiangang Xu ,&nbsp;Mo Wang ,&nbsp;Haojun Yuan","doi":"10.1016/j.scs.2025.106474","DOIUrl":"10.1016/j.scs.2025.106474","url":null,"abstract":"<div><div>Green-grey infrastructure is increasingly recognized for its role in mitigating flood risks and promoting sustainable stormwater management. Despite extensive research on optimization, enhancing system resilience through improved drainage network redundancy remains under-explored. This study aims to address this gap by integrating two redundancy strategies, i.e., parallel pipelines and redundant paths, into a multi-objective optimization framework to enhance the system resilience from the cross-sectional and top-down dimensions, respectively. Iterative layouts were designed using a graph-theoretic algorithm coupled with green infrastructure optimization. The predominant objectives were to reduce life cycle costs and enhance resilience against urban flood pressures caused by extreme storms and infrastructure failures. A service period assessment method was employed to evaluate the sustainability gains for the optimized layouts provided by redundancy strategies. The findings indicated that both parallel pipeline and redundant path strategies significantly improve sustainability, with pronounced effectiveness in decentralized and centralized layouts, respectively. Additionally, these strategies were more effective in addressing internal pressure of infrastructure failures than external pressure of extreme storm. Consequently, three decentralized green-grey infrastructure layouts incorporating both redundancy strategies are recommended for decision-makers. This framework offers novel insights into the application of redundancy strategies for the design and planning of sustainable urban drainage systems.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"128 ","pages":"Article 106474"},"PeriodicalIF":10.5,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144134948","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 SWMM-UrbanEVA for continuous long-term water balance analysis of green infrastructure","authors":"Lea Rosenberger ,&nbsp;Jorge Leandro ,&nbsp;Brigitte Helmreich","doi":"10.1016/j.scs.2025.106475","DOIUrl":"10.1016/j.scs.2025.106475","url":null,"abstract":"<div><div>The EPA Stormwater Management Model (SWMM) is widely used to simulate runoff quantity and quality in drainage systems. With the SWMM-UrbanEVA extension, evapotranspiration of green infrastructure is better represented by incorporating vegetation-specific components, improving the analysis of the water balance for sustainable cities. However, accurate modeling of the long-term water balance is challenging due to the sensitivity of results to the chosen reporting time step. In SWMM-UrbanEVA, the results at each reporting time step represent instantaneous values. This leads to reduced accuracy in capturing temporal trends when larger reporting intervals are used to reduce the output file size. To address this limitation, we propose several changes to the code of SWMM-UrbanEVA. This adaptation, termed hereafter SWMM-UrbanEVA-AvgTimestep, computes and outputs the average of all computed time steps for subcatchment results between two reporting time steps. This change maintains the accuracy of water balance simulations by ensuring that total evaporation, infiltration, and runoff are correctly represented, regardless of the reporting time step. Our results indicate that while small reporting time steps are preferred for detailed peak analysis, the averaged results provide a reliable alternative for comprehensive, long-term planning and climate adaptation studies. In addition, we added a new option to export the results as a text file rather than just a binary file. It allows users easier access to the output results. SWMM-UrbanEVA-AvgTimestep empowers engineers and urban planners to analyze the long-term water balance, which is crucial for analyzing the performance of urban green infrastructure and climate adaptation for more sustainable cities.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"128 ","pages":"Article 106475"},"PeriodicalIF":10.5,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144147600","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 patterns in urban water consumption: The role of local climate zones and temperature dynamics","authors":"Mohammad Maleki ,&nbsp;Amirbahador Damroodi ,&nbsp;Mahsa Mostaghim ,&nbsp;Amir Reza Bakhshi Lomer ,&nbsp;Samira Sadat Saleh ,&nbsp;Junye Wang ,&nbsp;Nabi Moradpour ,&nbsp;Iain D. Stewart ,&nbsp;Kanglin (Connie) Chen ,&nbsp;Fatemeh Kazemi","doi":"10.1016/j.scs.2025.106438","DOIUrl":"10.1016/j.scs.2025.106438","url":null,"abstract":"<div><div>Urban Water Consumption (UWC) is a major challenge in arid regions, intensified by urbanization, population growth, and resource scarcity, prompting debates on relocating Iran's capital to address resource scarcity and sustainability. This study analyzed the relationship between Local Climate Zones (LCZ), Land Surface Temperature (LST), and water usage in Tehran (2015–2019) to inform urban water management. UWC data was spatially matched to urban areas to calculate per capita consumption. An LCZ map for the base year 2017 was generated using the Random Forest (RF) algorithm, achieving an accuracy of 88.88 %. LST data for the five years was derived using the single-channel algorithm. LCZ2 of dense midrise buildings exhibited the largest area, while LCZG of water had the smallest area. Annual per capita UWC showed a consistent upward trend, with 2019 experiencing the most significant increase. The highest UWC was in LCZG and LCZ2, respectively, while LCZ7 of low dense single buildings recorded the lowest. Most of the city's area had neighbourhoods with an average LST ranging between 30 °C and 35 °C throughout the study period. The correlation between population density, LST, and UWC was 10 % to 17 %. Modelling accuracy, measured by Root Mean Square Error (RMSE), ranged from 1.4 to 9.9. This research highlights the need for climate-sensitive urban design and sustainable water management, providing a foundation for policies to address water scarcity in vulnerable urban areas. Additionally, analyzing annual population dynamics and improving UWC modeling will help better reflect future urban water consumption patterns.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"127 ","pages":"Article 106438"},"PeriodicalIF":10.5,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144084149","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":"Comprehensive integration framework of CFD – Local and whole body hybrid PBPK in indoor chemical exposure modeling: An inhalation exposure study","authors":"Nguyen Dang Khoa,&nbsp;Kazuki Kuga,&nbsp;Kazuhide Ito","doi":"10.1016/j.scs.2025.106463","DOIUrl":"10.1016/j.scs.2025.106463","url":null,"abstract":"<div><div>Di(2-ethylhexyl) phthalate (DEHP) is the most pervasive phthalate in the environment and is identified as an endocrine-disrupting chemical causing dysfunction in multiple organs. This study has employed a novel Computational Fluid Dynamics (CFD)-based pollutant transport analysis and a local-whole-body hybrid physiologically based pharmacokinetics (PBPK) model to elucidate the systematic disposition of DEHP and its metabolites in human organs via inhalation exposure. A local PBPK model was constructed for the respiratory tract, employing the CFD and air-mucus-tissue-blood (AMTB) model to investigate the DEHP transportation and diffusion through the respiratory tissue during breathing activities. This is seamlessly linked with the whole-body PBPK model. As a result, the validation work demonstrates the reliability of the CFD and local whole-body hybrid PBPK model. The absorbed and plasma uptake of DEHP were found to be dependent on the airway tissue thickness and morphometry. Visualization reveals a non-uniform DEHP distribution over the respiratory surface. The whole-body PBPK model tracks DEHP metabolism in the liver and intestine. Cumulative concentration profiles significantly varied across organs as a function of biochemical and physiological parameters. Post-exposure monitoring unveils a slow clearance in the brain, bone, skin, adipose, gonads, and muscle. At the concentration levels covered in this study, a proportional relationship was quantified between the exposure concentration to the cumulative airway tissue concentration and organ concentration. The results consolidate the current technique as a reliable tool to link indoor DEHP exposure to the corresponding adverse effects on human health via inhalation.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"128 ","pages":"Article 106463"},"PeriodicalIF":10.5,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144117036","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":"Low emission zone and inequalities: car restriction and reduction of air pollution exposure in the Paris region","authors":"Alexis Poulhès ,&nbsp;Laurent Proulhac ,&nbsp;Judith Malriat","doi":"10.1016/j.scs.2025.106469","DOIUrl":"10.1016/j.scs.2025.106469","url":null,"abstract":"<div><div>Over the past few decades, Low Emission Zones (LEZs) have emerged as a widely adopted tool for improving air quality accross Europe. However, the scientific literature devotes limited attention to the inequalities associated with their implementation. In addressing this gap, this article proposes to identify the residents least affected by reductions in air pollution and those most impacted due to ownership of non-compliant vehicles, focusing on the Paris region (France). By integrating data from the Enquête Globale Transport with data on spatio-temporal NO₂ concentration levels, the methodological approach first evaluates the spatio-temporal exposure of surveyed individuals, considering their activities and transport modes. Thus, the objective is to study individual inequalities related to reduced exposure levels and non-compliant vehicle ownership. A series of logistic regressions model independently, and then subsequently jointly, estimate the likelihood of individual exposure levels falling below the WHO recommended threshold and the need to replace a non-compliant vehicle. The results reveal that the poorest residents are the most affected by restrictions on non-compliant vehicles, both in terms of exposure and ownership, and ultimately facing a double inequality. This inequality is less evident in the case of a more ambitious scenario.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"128 ","pages":"Article 106469"},"PeriodicalIF":10.5,"publicationDate":"2025-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144117038","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":"Global patterns and drivers of summertime surface urban heat island cohesion","authors":"Kangning Li ,&nbsp;Shengjun Gao","doi":"10.1016/j.scs.2025.106470","DOIUrl":"10.1016/j.scs.2025.106470","url":null,"abstract":"<div><div>With the advancement of urbanization globally, the surface urban heat island (SUHI) effects have become increasingly pronounced, posing substantial challenges to both urban livability and public health. SUHI cohesion (SUHIC) quantifies the spatial aggregation and connectivity patterns of SUHI effects, providing critical insights into their structural organization and identifying strategic priority points for thermal regulation. However, spatial distribution and temporal tendency of SUHIC remain largely unknown, and their controls are still unclear. Therefore, spatial characteristics and temporal patterns of SUHIC from 2003 to 2022 across global cities were quantified and their drivers were further explored. There are two major findings summarized as follows. (1) The high level of SUHIC accounts for 75 % and 65 % of global cities at daytime and nighttime, respectively. The geographical distribution of SUHIC indicates significant spatial variations and climate differences, with the lowest cohesion is observed in the arid climate. SUHIC is negatively correlated to △EVI while positively correlated with △ISA and SUHII during both day and night. (2) Temporally, SUHIC of global cities shows an increasing trend from 2003 to 2022. The increasing, decreasing and stable trend account for 61 %, 25 % and 14 % at daytime worldwide, compared to 55 %, 24 % and 21 % at nighttime, respectively. The similar tendency between SUHIC and SUHII accounts for 55 % and 51 % at daytime and nighttime, respectively. About 55 % of cities exhibit an opposite trend between daytime SUHIC and △EVI (Enhanced Vegetation Index). Namely, higher vegetation difference between urban and rural areas results in greater intensity and cohesion of daytime SUHI within urban areas. This work is proposed to enhance the understanding of the aggregation and connectivity patterns of SUHI and to provide theoretical support for optimizing urban planning for sustainable city development.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"128 ","pages":"Article 106470"},"PeriodicalIF":10.5,"publicationDate":"2025-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144147599","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":"Unlocking Urban Ecological Resilience: The Dual Role of Environmental Regulation and Green Technology Innovation","authors":"Chenlin Lan ,&nbsp;Xingwei Li ,&nbsp;Bei Peng ,&nbsp;Xiangxue Li","doi":"10.1016/j.scs.2025.106466","DOIUrl":"10.1016/j.scs.2025.106466","url":null,"abstract":"<div><div>The growing complexity and dynamism of the environmental challenges driven by rapid urbanization pose significant risks to achieving sustainable development goals, highlighting the urgent need to assess urban ecological resilience (<em>UER</em>). This paper aims to evaluate the influence of environmental regulation (<em>ER</em>) and green technology innovation (<em>GTI</em>) on <em>UER</em>, particularly focusing on understanding their interactive effects. Using a resistance‒adaptability‒resilience (RAR) theoretical framework, we construct a <em>UER</em> evaluation system categorized into four dimensions: driving, resistance, adaptability and resilience (DRAR). This paper applies the entropy‒weight TOPSIS (EW‒TOPSIS) method combined with system GMM (SYS‒GMM) estimation to evaluate how <em>ER</em> and <em>GTI</em> impact <em>UER</em> across 247 China's prefecture‒level cities from 2010‒2022. The key findings included the following: (1) <em>UER</em> exhibited an upward trend from 2010‒2022, with a narrowing gap between cities and a westward decreasing trend; (2) <em>ER</em> hindered the increase in <em>UER</em> during this period; (3) further mechanism analysis revealed that <em>ER</em> indirectly reduced <em>UER</em> by weakening <em>GTI</em>; (4) regional heterogeneity analysis revealed that <em>ER</em> exhibits a robust negative association with U<em>ER</em> in China's eastern, central, and northeastern zones, while western region shows positive statistically significant <em>ER‒UER</em> linkage; and (5) resource heterogeneity analysis indicated that <em>ER</em> demonstrates a significant negative correlation with <em>UER</em> in resource‒based cities and non‒resource‒based cities. This paper offers valuable insights into how <em>ER</em> and <em>GTI</em> influence <em>UER</em>. Policymakers should implement differentiated <em>ER</em> and innovation‒driven strategies to establish mechanisms for enhancing <em>UER</em> that promote regional coordination, policy synergy, and technological integration.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"128 ","pages":"Article 106466"},"PeriodicalIF":10.5,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144116907","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}