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Research approaches to mass casualty incidents response：development from routine perspectives to complexity science

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Chinese Medical Journal 2014年第13期127卷 2523-2530页

作者： Shen Weifeng Jiang Libing Zhang Mao Ma Yuefeng Jiang Guanyu He Xiaojun Department of Emergency Medicine Second Affiliated HospitalSchool of Medicine & Institute of Emergency Medicine ZhejiangUniversity Hangzhou Zhejiang 310009 China Chinese Training Center for Advanced Relief Projects HarvardMedical International Trauma and Disaster Institute USA Department of Chinese Journal of Emergency Medicine HangzhouZhejiang 310009 China

Objective To review the research methods of mass casualty incident （MCI） systematically and introduce the concept and characteristics of complexity science and artificial system,computational experiments and parallel execution （ACP） method.Data sources We searched PubMed,Web of Knowledge,China Wanfang and China Biology Medicine （CBM） databases for relevant studies.Searches were performed without year or language restrictions and used the combinations of the following key words：“mass casualty incident”,“MCI”,“research method”,“complexity science”,“ACP”,“approach”,“science”,“model”,“system” and “response”.Study selection Articles were searched using the above keywords and only those involving the research methods of mass casualty incident （MCI） were enrolled.Results Research methods of MCI have increased markedly over the past few decades.For now,dominating research methods of MCI are theory-based approach,empirical approach,evidence-based science,mathematical modeling and computer simulation,simulation experiment,experimental methods,scenario approach and complexity science.Conclusions This article provides an overview of the development of research methodology for MCI.The progresses of routine research approaches and complexity science are briefly presented in this paper.Furthermore,the authors conclude that the reductionism underlying the exact science is not suitable for MCI complex systems.And the only feasible alternative is complexity science.Finally,this summary is followed by a review that ACP method combining artificial systems,computational experiments and parallel execution provides a new idea to address researches for complex MCI.

关键词： mass casualty incident research approaches complexity science

complexity science & MANAGEMENT

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Bulletin of the Chinese Academy of sciences 1999年第3期13卷 166-174页

作者： Cheng Siwei(Department of Management sciences, the National Natural science Foundation of China)

Ⅰ. science IS FACING A SHARP TURN complexity science is a new scientific category that made its debut in the 1980s. It is a newly emerging discipline concerning research into complexity itself, and its application to complex systems. Although it is still in its infancy, it has been hailed by some leading scientists as "the science for the 21st century."

关键词： complexity science MANAGEMENT

MODELING OF MANUFACTURING INFORMATION SYSTEM BASED ON complexity science

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MODELING OF MANUFACTURING INFORMATION SYSTEM BASED ON COMPLE...

Evolution of airports from a network perspective--An analytical concept

2006年中国机械工程学会年会暨中国工程院机械与运载工...

作者： SUN Yanming, ZHANG Kaisheng, ZHANG Xiaohua, ZHENG Shixiong School of Business Administration, South China University of Technology, Guangzhou 510640, China College of Mechanical Engineering, South China University of Technology, Guangzhou 510640, China

Manufacturing information system (MIS) has properties of complex system. To analyze, plan and optimally design MIS, a new modeling approach based on flexible coupling automata of complexity science wa

关键词： complexity science manufacturing information system modeling multi agent system.

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Chinese Journal of Aeronautics 2017年第2期30卷 513-522页

作者： Mark Azzam German Aerospace Center -DLR 53227 Bonn Germany

Analyzing airports＇ role in global air transportation and monitoring their development over time provides an additional perspective on the dynamics of network evolution.In order to understand the different roles airports can play in the network an integrated and multidimensional approach is needed.Therefore,an approach to airport classification through hierarchical clustering considering several parameters from network theory is presented in this paper.By applying a 29 year record of global flight data and calculating the conditional transition probabilities the results are displayed as an evolution graph similar to a discrete-time Markov chain.With this analytical concept the meaning of airports is analyzed from a network perspective and a new airport taxonomy is established.The presented methodology allows tracking the development of airports from certain categories into others over time.Results show that airports of equal classes run through similar stages of development with a limited number of alternatives,indicating clear evolutionary patterns.Apart from giving an overview of the results the paper illustrates the exact data-driven approach and suggests an evaluation scheme.The methodology can help the public and industry sector to make informed strategy decisions when it comes to air transportation infrastructure.

关键词： Airport classification Air transportation Cluster analysis complexity science Network development Network science

耦合魔方——一个分析人地系统耦合机理的多维框架

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Journal of Geographical sciences 2020年第3期30卷 355-377页

作者：刘海猛方创琳方恺 Key Laboratory of Regional Sustainable Development Modeling Institute of Geographic Sciences and Natural Resources ResearchCASBeijing 100101China College of Resources and Environment University of Chinese Academy of SciencesBeijing 100049China School of Public Affairs Zhejiang UniversityHangzhou 310058China

Understanding the interactions between humans and nature in the Anthropocene is central to the quest for both human wellbeing and global sustainability.However,the time-space compression,long range interactions,and reconstruction of socio-economic structures at the global scale all pose great challenges to the traditional analytical frameworks of human-nature systems.In this paper,we extend the connotation of coupled human and natural systems(CHANS)and their four dimensions—space,time,appearance,and organization,and propose a novel framework:“Coupled Human and Natural Cube”(CHNC)to explain the coupling mechanism between humans and the natural environment.Our proposition is inspired by theories based on the human-earth areal system,telecoupling framework,planetary urbanization,and perspectives from complexity science.We systematically introduce the concept,connotation,evolution rules,and analytical dimensions of the CHNC.Notably there exist various“coupling lines”in the CHNC,connecting different systems and elements at multiple scales and forming a large,nested,interconnected,organic system.The rotation of the CHNC represents spatiotemporal nonlinear fluctuations in CHANS in different regions.As a system continually exchanges energy with the environment,a critical phase transition occurs when fluctuations reach a certain threshold,leading to emergent behavior of the system.The CHNC has four dimensions—pericoupling and telecoupling,syncoupling and lagcoupling,apparent coupling and hidden coupling,and intra-organization coupling and inter-organizational coupling.We mainly focus on the theoretical connotation,research methods,and typical cases of telecoupling,lagcoupling,hidden coupling,and inter-organizational coupling,and put forward a human-nature coupling matrix to integrate multiple dimensions.In summary,the CHNC provides a more comprehensive and systematic research paradigm for understanding the evolution and coupling mechanism of the human-nature system,which expands the analytical dimension of CHANS.The CHNC

关键词： Coupled Human and Natural Cube human-environment systems social-ecological systems pericoupling and telecoupling climate change urbanization human activity complexity science sustainability science

CAS and ABM-based Demolition Waste Management Research in the AEC Industry

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Frontiers of Engineering Management 2016年第1期3卷 18-23页

作者： Zhi-kun Ding Yi-fei Wang Jin-chuang Wu College of Civil Engineering Shenzhen University

With the increase of the urban population and the rapid development of urbanization in China,a large number of old buildings will be demolished and produce a huge amount of waste.Currently the recycling ratio of old building materials is very low,which results in the problems of resource waste and environment pollution.This greatly challenges urban sustainable development.With respect to the continual growth of demolition waste quantities,it is urgent to research how to implement effective management of demolition wastes by focusing on the demolition agents' behavior.Based on the theory of complexity,this paper analyzes the demolition waste management from the perspective of complex adaptive system.Taking into account the "green" demolition(building dismantling) and conventional demolition(building demolished) methods,the agent-based modeling method with Repast Simphony platform is applied to simulate interactions between demolition agents.The longitudinal trend of demolition waste quantities is forecasted.

关键词： demolition waste complexity science agentbased modeling

Current mathematics education context in the US

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Current mathematics education context in the US

BRIDGING REDUCTIONISM AND HOLISM-MULTI——SCALE METHODOLOGY WITH APPLICATIONS TO PARTICLE-FLUID SYSTEMS

第三届数学史与数学教育国际研讨会

作者： Jayne Fleener Thomas E.Ricks Louisiana State University

In this paper, the authors review the trends of mathematics education in the United States, tied with the development of society, from knowledge to knowing, to learning and finally to the full development of the potentials of the learners. Theoretical perspectives in current mathematics education contexts that have impacted the complexity of learning and teaching in mathematics are discussed, as well. As a conclusion, the authors call for interactive, interrelated and dynamic perspectives in mathematics teaching and learning.

关键词： Mathematics Education in the US Trends Learners Knowledge Competencies Dispositions Constructivism Socio-cultural Constructivism complexity science Ecology

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China Particuology 2005年第1期3卷 68-68页

作者： JinghaiLi Multi-PhaseReactionLaboratory InstituteofProcessEngineering(IPE)ChineseAcademyofSciencesBeijing100080RR.China

While science continues to extend to two extremes - micro-scale towards dimensions even smaller than elemental particles and mega-scale even beyond the universe, one recognizes that reductionism is not sufficient to solve many problems we encounter in engineering, which are likely characterized by nonlinearity, nonequilibrium and dissipative multi-scale structures. On the other hand, the common features of these nonlinear systems, such as bifurcation, state multiplicity and self-organization, have attracted much attention, leading to the approaches of the so-called complexity science which has become a focus not only in natural science and engineering science, but also in social science. However, no effective methodology has been established to understand these complex systems, though noticeable progress has been achieved in studying these systems, such as particle-fluid multi-phase systems. Multi-scale methodology has been considered as a promising methodology to tackle complex systems due to its capability in correlating phenomena at different scales. In this presentation, we shall review the development of the multi-scale methodology and its applications to particle-fluid systems, elucidating the essential relevance of complex systems and the challenging problems in chemical engineering. Multi-scale structure is considered to be the focus in studying complex systems, particularly, correlation between phenomena at different scales, compromise between different dominant mechanisms, coupling between spatial and temporal structural changes and critical phenomena occurring in these systems - these are the four critical issues in understanding complex systems. We first propose that by analyzing particle-fluid systems complex systems can be formulated as a multi-objective variational problem. Such an analytical multi-scale method will be reviewed in particular by analyzing the above four critical issues and by showing its 20-year development at IPE from a rough idea to modeling approaches, softwares and finally to in

关键词： complex systems industrial applications chemical engineering variational problem structural changes critical phenomena complexity science nonlinear systems

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复杂性科学的社会文化背景