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On Social-technical Control of Safety Development in Economic Transition Background

Xue-qiu He,Song Li

《工程管理前沿（英文）》 2015年第2卷第3期页码 234-240 doi: 10.15302/J-FEM-2015025

摘要： Industrial safety and economic growth, two vital and inextricable forces affecting national culture and development, are worthy of much more interest and attention than this article can hope to generate. Following economic growth, industrial safety remains as a high priority in this nation’s quest for sustainable development. At present, while China is on its way to transforming its economic structure and growth models, talk of industrial safety appears with special regularity, for it also is undergoing profound changes as an important facet of modern China.

关键词： safety development economic growth economic transition social-technical control

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工程技术百年颂

宋健

《中国工程科学》 2002年第4卷第3期页码 1-5

摘要：

回顾了20世纪世界工程科技发展的历程，论述了工程科技进步在推动全球经济和社会发展中所起的巨大作用；结合中国工程院主办的"20世纪我国重大工程技术成就"评选活动产生的25项评选结果，指出了我国科技人员在为中华民族的振兴和国家经济发展所做的重大贡献，以及工程师的创造性劳动获得了社会的广泛认知和尊重；阐明了没有科技实力的国家就不能跻身世界强国之列的重要真理；展望了21世纪，特别是未来50年我国工业化、现代化建设将迎来工程科技发展的新高潮。

关键词： 20世纪工程科学技术社会进步经济发展科技人才

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Emergence mechanisms of group consensus in social networks

《工程管理前沿（英文）》 doi: 10.1007/s42524-023-0277-x

摘要： Reaching consensus within larger social network groups has emerged as a pivotal concern in the digital age of connectivity. This article redefines group consensus as the emergence of collective intelligence resulting from self-organizing actions and interactions of individuals within a social network group. In our exploration of extant research on group consensus, we illuminate two frequently underestimated, yet noteworthy facets: Dynamism and emergence. In contrast to the conventional perspective of consensus as a mere outcome, we perceive it as an ongoing, dynamic process. This process encompasses self-organized communication and interaction among group members, collectively guiding the group towards cognitive convergence and viewpoint integration. Consequently, it is imperative to redirect our focus from the outcomes of group interactions to an examination of the relationships and processes underpinning consensus formation, thus elucidating the mechanisms responsible for the generation of group consensus. The amalgamation of cognitive contexts and accurate simplification of real-world scenarios for simulation and experimental analysis offers a pragmatic operational approach. This study contributes novel theoretical underpinnings and quantitative insights for establishing and sustaining group consensus within the realm of engineering management practices. Concurrently, it holds substantial importance for advancing the broader research landscape pertaining to social consensus.

关键词： group consensus social network collective intelligence

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The influence of social media on stock volatility

Xianjiao WU, Xiaolin WANG, Shudong MA, Qiang YE

《工程管理前沿（英文）》 2017年第4卷第2期页码 201-211 doi: 10.15302/J-FEM-2017018

摘要： This study explores the influence of social media on stock volatility and builds a feature model with an intelligence algorithm using social media data from Xueqiu.com in China, Sina Finance and Economics, Sina Microblog, and Oriental Fortune. We find that the effect of social factors, such as increased attention to a stock’s volatility, is more significant than public sentiment. A prediction model is introduced based on social factors and public sentiment to predict stock volatility. Our findings indicate that the influence of social media data on the next day’s volatility is more significant but declines over time.

关键词： stock volatility social data sentiment analysis boosting algorithm

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Reliability analysis of the control system of large-scale vertical mixing equipment

YANG Mingjin, LI Xiwen, LI Shaoping, YANG Shuzi

《机械工程前沿（英文）》 2008年第3卷第2期页码 133-138 doi: 10.1007/s11465-008-0037-y

摘要： The control system of vertical mixing equipment is a concentrate distributed monitoring system (CDMS). A reliability analysis model was built and its analysis was conducted based on reliability modeling theories such as the graph theory, Markov process, and redundancy theory. Analysis and operational results show that the control system can meet all technical requirements for high energy composite solid propellant manufacturing. The reliability performance of the control system can be considerably improved by adopting a control strategy combined with the hot spared redundancy of the primary system and the cold spared redundancy of the emergent one. The reliability performance of the control system can be also improved by adopting the redundancy strategy or improving the quality of each component and cable of the system.

关键词： composite redundancy monitoring vertical technical

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review of modeling, structure, and integration techniques of smart buildings in the cyber-physical-social

《能源前沿（英文）》 2022年第16卷第1期页码 74-94 doi: 10.1007/s11708-021-0792-6

摘要： Smart buildings have been proven to be a kind of flexible demand response resources in the power system. To maximize the utilization of the demand response resources, such as the heating, ventilating and air-conditioning (HVAC), the energy storage systems (ESSs), the plug-in electric vehicles (PEVs), and the photovoltaic systems (PVs), their controlling, operation and information communication technologies have been widely studied. Involving human behaviors and cyber space, a traditional power system evolves into a cyber-physical-social system (CPSS). Lots of new operation frameworks, controlling methods and potential resources integration techniques will be introduced. Conversely, these new techniques urge the reforming requirement of the techniques on the modeling, structure, and integration techniques of smart buildings. In this paper, a brief comprehensive survey of the modeling, controlling, and operation of smart buildings is provided. Besides, a novel CPSS-based smart building operation structure is proposed, and the integration techniques for the group of smart buildings are discussed. Moreover, available business models for aggregating the smart buildings are discussed. Furthermore, the required advanced technologies for well-developed smart buildings are outlined.

关键词： smart buildings cyber-physical-social-system optimization modeling demand response virtual power plant

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Environmental, social, and economic assessment of energy utilization of crop residue in China

Yueling ZHANG, Junjie LI, Huan LIU, Guangling ZHAO, Yajun TIAN, Kechang XIE

《能源前沿（英文）》 2021年第15卷第2期页码 308-319 doi: 10.1007/s11708-020-0696-x

摘要： This paper aims to discuss an environmental, social, and economic analysis of energy utilization of crop residues from life cycle perspectives in China. The methodologies employed to achieve this objective are environmental life cycle assessment (E-LCA), life cycle cost (LCC), and social life cycle assessment (S-LCA). Five scenarios are developed based on the conversion technologies and final bioenergy products. The system boundaries include crop residue collection, transportation, pre-treatment, and conversion process. The replaced amounts of energy are also taken into account in the E-LCA analysis. The functional unit is defined as 1 MJ of energy produced. Eight impact categories are considered besides climate change in E-LCA. The investment capital cost and salary cost are collected and compared in the life cycle of the scenarios. Three stakeholders and several subcategories are considered in the S-LCA analysis defined by UNEP/SETAS guidelines. The results show that the energy utilization of crop residue has carbon emission factors of 0.09–0.18 kg (CO eq per 1 MJ), and presents a net carbon emissions reduction of 0.03–0.15 kg (CO eq per 1 MJ) compared with the convectional electricity or petrol, but the other impacts should be paid attention to in the biomass energy scenarios. The energy utilization of crop residues can bring economic benefit to local communities and the society, but the working conditions of local workers need to be improved in future biomass energy development.

关键词： crop residue life cycle assessment life cycle cost social life cycle assessment energy production

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Are public‒private partnerships still an answer for social infrastructure?

《工程管理前沿（英文）》页码 467-482 doi: 10.1007/s42524-023-0249-1

摘要： Social infrastructure has become an important element for measuring national economic development and social benefits that are usually financed in the form of government grants, private investment, and public‒private partnerships (PPPs). However, social infrastructure PPPs have attracted considerable public debate due to their low profitability and complex operational demands. This study aims to answer the question, “are PPPs still an answer for social infrastructure?”, from the perspectives of the body of knowledge, application status, and prospects. Initially, an iterative search and review procedure and a scientometric analysis were performed to systematically screen the literature and to structure the body of knowledge of the social infrastructure PPPs literature. Furthermore, the application status and trends were analyzed to further explore the studied countries/regions, application sectors, and research topics. Results show that PPPs still have valuable application potential for delivering social infrastructure despite their mixed results across different topics. Six main research themes and the corresponding research trends were also identified, namely, financing and economics viability, risk management, performance management, contract and relationship management, governance and regulation, and facilitating and hindering factors. These findings offer practitioners and researchers a comprehensive overview and constructive guidance on social infrastructure PPPs.

关键词： public‒private partnerships social infrastructure scientometric analysis systematic review

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社会影响力分析——模型、方法和评价 Review

李侃, 张林, 黄河燕

《工程（英文）》 2018年第4卷第1期页码 40-46 doi: 10.1016/j.eng.2018.02.004

摘要：

社会影响力分析（SIA）是一个广泛的研究领域，吸引了诸多研究者的兴趣。本文总结了SIA 相关的模型、方法和评价方面代表性的工作，并将SIA 模型归纳为两种类型：微观模型和宏观模型。微观模型考虑人与人之间的相互影响和影响的过程，而宏观模型认为每个人具有相同的传播概率和影响力。本文分析了包括影响最大化、影响最小化、影响流和个人影响力等的社会影响力分析方法；介绍了影响力评价指标，并分析了社会影响力评价模型。本文的目标是对社会影响力提供全面的分析，旨在辅助理解社会行为，为舆论影响提供理论基础，并揭示未来的研究方向和潜在的应用。

关键词：社会影响力分析在线社交网络社会影响力分析模型影响力评价

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信息物理——社会系统视角下的智能城市 Perspective

Christos G. Cassandras

《工程（英文）》 2016年第2卷第2期页码 156-158 doi: 10.1016/J.ENG.2016.02.012

摘要：

新兴智慧城市是城市环境的新一代创新服务，包括交通、能源分布、医疗、环境监测、商务、商业、紧急响应和社会活动。要想实现这种为城市场景服务的各项技术，需要将智慧城市视为一个整体的信息物理融合系统(CPS)，这其中包括新的移动软件平台和对治安、安全、隐私和大量信息处理的严格要求。本文旨在确定智慧城市的关键特征，进而讨论了一些由CPS 观点出发而得出的经验教训，并概述了一些空白领域的基础研究内容。

关键词：智慧城市信息物理融合系统数据驱动的控制

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超特长隧洞TBM 集群施工风险管控技术 Article

邓铭江

《工程（英文）》 2018年第4卷第1期页码 112-122 doi: 10.1016/j.eng.2017.07.001

摘要：

北疆供水二期工程，总长540 km。其中，隧洞总长516 km，加上49 条各种缓斜井和竖井，隧洞掘进总进尺569 km。特别是喀—双隧洞单洞长283 km，是目前世界最长的输水隧洞。主洞划分了18 台隧洞掘进机（TBM）掘进段和34 个钻爆法施工段，施工掌子面多达91 个。该工程不仅对建设管理、风险防控、安全高效施工提出前所未有的挑战，同时也对TBM 及其配套设备的设计、制造、运维提出了更高的要求。有必要根据工程特点和不良地质条件，分析工程建设面临的重大难题和关键技术，系统查找风险源、合理划分风险等级、明确责任主体、建立分级管控机制。本文提出了应用超前地质预报技术、岩机信息感知和融合的智能掘进技术、监测预警及现代信息技术，用以科学指导风险管控，提高安全掘进效率的技术思路。

关键词：超特长隧洞地质灾害 TBM 集群施工质量安全风险防控

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Social responsibility in infrastructure mega-projects: A case study of ecological compensation for

Zheming LIU, Liangyan WANG, Zhaohan SHENG, Xinglin GAO

《工程管理前沿（英文）》 2018年第5卷第1期页码 98-108 doi: 10.15302/J-FEM-2018084

摘要： Ecological compensation plays an important role in implementing the social responsibility of infrastructure mega-projects. Based on the results of a field study, an in-depth interview, and archive data, this paper introduces the ecological compensation for (the Indo-Pacific humpbacked dolphin) during the construction of the Hong Kong-Zhuhai-Macao Bridge. It studies the concrete measures, decision-making processes, and organizational collaboration of the ecological compensation, using the method of a case study. The present study not only enriches our understanding of the ecological compensation practice during the construction of infrastructure mega-projects, but also extends the literature on the social responsibility of infrastructure mega-projects. This sheds light on the protection of the environment as well as biodiversity in the construction of future infrastructure mega-projects.

关键词： infrastructure mega-projects social responsibility ecological compensation Hong Kong-Zhuhai-Macao Bridge Sousa chinensis

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Identifying spreading influence nodes for social networks

《工程管理前沿（英文）》页码 520-549 doi: 10.1007/s42524-022-0190-8

摘要： The identification of spreading influence nodes in social networks, which studies how to detect important individuals in human society, has attracted increasing attention from physical and computer science, social science and economics communities. The identification algorithms of spreading influence nodes can be used to evaluate the spreading influence, describe the node’s position, and identify interaction centralities. This review summarizes the recent progress about the identification algorithms of spreading influence nodes from the viewpoint of social networks, emphasizing the contributions from physical perspectives and approaches, including the microstructure-based algorithms, community structure-based algorithms, macrostructure-based algorithms, and machine learning-based algorithms. We introduce diffusion models and performance evaluation metrics, and outline future challenges of the identification of spreading influence nodes.

关键词： complex network network science spreading influence machine learning

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Governance of social responsibility in international infrastructure megaprojects

Saixing ZENG, Hongquan CHEN, Hanyang MA, Jonathan Jingsheng SHI

《工程管理前沿（英文）》 2022年第9卷第2期页码 343-348 doi: 10.1007/s42524-022-0191-7

摘要：

Megaprojects are a critical aspect of socio–economic development that can have huge effects on local communities, the environment, society, politics, or locals’ way of life (Zeng et al., 2015; Denicol et al., 2020). Megaproject social responsibility (MSR) refers to “the policies and practices of stakeholders through the whole project lifecycle that reflect responsibilities for the well-being of the wide society” (Zeng et al., 2015). MSR governance refers to socially responsible actions of relevant stakeholders to alleviate and eliminate a megaproject’s negative effects on socio–economic and environmental outcomes during the megaproject’s entire lifecycle (Lin et al., 2017; Ma et al., 2017), such as poverty reduction, human rights protection, social philanthropy, and environmental protection (Zeng et al., 2015). For large international contractors, differences between the decision-making scenarios of international megaprojects in host countries and those in their home countries are huge (Javernick-Will and Scott, 2010; Cramton et al., 2021). Differences in political, cultural, economic, and regulatory contexts can lead to differences in the content of MSR, as well as in that of corporate social responsibility (Maignan and Ralston, 2002; Matten and Moon, 2008). Consequently, MSR governance is challenging for international contractors. Good performance in MSR might contribute to the sustainability of megaprojects, whereas the absence of MSR governance in international megaprojects might generate huge losses for international contractors (Ma et al., 2017; Petkova and van der Putten, 2020; Leviker, 2021). Therefore, we argue that MSR governance can improve the quality of international megaprojects and reduce conflict among different parties in host countries (Campbell et al., 2012; Zhou and Mi, 2017; Ma et al., 2021).

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Optimal risk allocation in alliance infrastructure projects: A social preference perspective

Xiang DING, Qian LI

《工程管理前沿（英文）》 2022年第9卷第2期页码 326-336 doi: 10.1007/s42524-020-0145-x

摘要： The mechanism of risk allocation is designed to protect all stakeholders, and it is vital to project success. Qualitative and quantitative ways of optimizing risk allocation have been well documented in extant literature (e.g., allocation principles, models, and solutions), and the foci of existing research are usually the maximization of rational utility. Few research has focused on partners’ social preferences affecting the output of risk allocation. This study presents a quantitative approach based on modeling alliance member (AM)’s inequity aversion (IA) to analyze risk-sharing arrangements in an alliance project. Fehr and Schmidt’s inequity-aversion model is integrated into modeling partner’s utility. This paper derives results for an alliance leader (AL)’s optimal risk-sharing ratio and AM’s optimal risk-management effort simultaneously. The derivation is based on solving a restrained optimization problem using the conception and methods from Stackelberg game theory. Results show that an AM’s IA significantly affects risk allocation between AL and AM. Specifically, envious preference is positively related to AL’s optimal risk-sharing ratio, whereas guilty preference negatively affects AL’s optimal risk-sharing ratio. These findings will be of interest to academics and practitioners involved in designing alliance negotiations.

关键词： public project contract design risk sharing inequity aversion governance