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Agricultural Library and Information ›› 2018, Vol. 30 ›› Issue (12): 5-17.doi: 10.13998/j.cnki.issn1002-1248.2018.12.001

• Emergency intelligence analysis •     Next Articles

Literature Review on Emergency Management Based on Feature Analysis

FAN Chao1, CHEN An2,3   

  1. 1.School of Emergency Management, Henan Polytechnic University, Henan Jiaozuo 454003, China;
    2. Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China;
    3. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2018-05-09 Online:2018-12-05 Published:2019-01-03

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Abstract: The international research status of emergency management was mastered, and the development trend was predicted by analyzing the related literature, to promote the development of emergency management theory and practice in China. The literature about emergency management with higher citation frequency in the American SCI Database was summarized, analyzed and introduced by using the method of document analysis and feature analysis. The foreign theoretical achievements can provide theoretical and practical references for the China's development in the field of emergency management.

Key words: emergency management, literature review, feature, trend

CLC Number: 

  • G255
[1] Phadke AC, Martino CD, et al.Modeling of tropical cyclone winds and waves for emergency management[J]. OCEAN ENGINEERING, 2003, 30(4): 553-578.
[2] Cheung KF, Phadke AC, et al.Modeling of storm-induced coastal flooding for emergency management[J]. OCEAN ENGINEERING, 2003, 30(11): 1 353-1 386.
[3] Baumgart LA, Bass EJ, et al.Emergency Management Decision Making during Severe Weather[J]. WEATHER AND FORECASTING, 2008, 23(6): 1 268-1 279.
[4] Taskin S, Lodree EJ.A Bayesian decision model with hurricane forecast updates for emergency supplies inventory management[J]. JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 2010, 62(6): 1 098-1 108.
[5] Forster S, Chatterjee C, et al.Hydrodynamic simulation of the operational management of a proposed flood emergency storage area at the Middle Elbe River[J]. RIVER RESEARCH AND APPLICATIONS, 2008, 24(7): 900-913.
[6] Liu L, Liu Y, et al.Developing an effective 2-D urban flood inundation model for city emergency management based on cellular automata[J]. NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2015, 15(3): 381-391.
[7] Carlino S, Somma R, et al.Volcanic risk perception of young people in the urban areas of Vesuvius: Comparisons with other volcanic areas and implications for emergency management[J]. JOURNAL OF VOLCANOLOGY AND GEOTHERMAL RESEARCH, 2008, 172(3-4): 229-243.
[8] Peng M, Zhang, LM.Dynamic decision making for dam-break emergency management - Part 1: Theoretical framework[J]. NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2013, 13(2): 425-437.
[9] Ferrigno F, Gigli G, et al.GB-InSAR monitoring and observational method for landslide emergency management: the Montaguto earthflow (AV, Italy)[J]. NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2017, 17(6): 845-860.
[10] Lee Jung-Taek, Fazio Joseph.Influential factors in freeway crash response and clearance times by emergency management services in peak periods[J]. Traffic injury prevention, 2005, 6(4): 331-9.
[11] Mastellone ML, Brunner PH, et al.Scenarios of Waste Management for a Waste Emergency Area[J]. JOURNAL OF INDUSTRIAL ECOLOGY, 2009, 13(5): 735-757.
[12] Pezzullo L, De Filippo R.Perceptions of industrial risk and emergency management procedures in Hazmat Logistics: A qualitative mental model approach[J]. SAFETY SCIENCE, 2009, 47(4): 537-541.
[13] Peptenatu D, Pintilii RD, et al.MANAGEMENT OF ENVIRONMENT RISK WITHIN EMERGENCY TERRITORIAL SYSTEMS. CASE STUDY - THE INFLUENCE AREA OF THE BUCHAREST CITY[J]. JOURNAL OF ENVIRONMENTAL PROTECTION AND ECOLOGY, 2012, 13(4): 2360-2370.
[14] Lv Y, Huang GH, et al.A scenario-based modeling approach for emergency evacuation management and risk analysis under multiple uncertainties[J]. JOURNAL OF HAZARDOUS MATERIALS, 2013, 246: 234-244.
[15] Zhang XL, Raskob W, et al.Sequential multi-nuclide emission rate estimation method based on gamma dose rate measurement for nuclear emergency management[J]. JOURNAL OF HAZARDOUS MATERIALS, 2017, 325: 288-300.
[16] Dawes SS, Cresswell AM, et al.Learning from crisis - Lessons in human and information infrastructure from the World Trade Center response[J]. SOCIAL SCIENCE COMPUTER REVIEW, 2004, 22(1): 52-66.
[17] Balakrishna R, Yang W, et al.Simulation-based framework for transportation network management in emergencies[J]. TRANSPORTATION RESEARCH RECORD, 2008, 2041: 80-88.
[18] Ntuen CA, Balogun O, et al.Supporting command and control training functions in the emergency management domain using cognitive systems engineering[J]. ERGONOMICS, 2006, 49(12-13): 1 415-1 436.
[19] Dimakis ND,Filippoupolitis A, et al.Distributed Building Evacuation Simulator for Smart Emergency Management[J]. COMPUTER JOURNAL, 2010, 53(9): 1 384-1 400.
[20] Kobayashi Tetsuo, Medina Richard M, et al.Visualizing diurnal population change in urban areas for emergency management[J]. The Professional geographer : the journal of the Association of American Geographers, 2011, 63(1): 113-30.
[21] Shamszaman ZU, Ara SS, et al.Web-of-Objects ( WoO)-Based Context Aware Emergency Fire Management Systems for the Internet of Things[J]. SENSORS, 2014, 14(2): 2 944-2 966.
[22] Levy JK, Taji K.Group decision support for hazards planning and emergency management: A Group Analytic Network Process (GANP) approach[J]. MATHEMATICAL AND COMPUTER MODELLING, 2007, 46(7-8): 906-917.
[23] Chen Y, Li KW, et al.A DEA-TOPSIS method for multiple criteria decision analysis in emergency management[J]JOURNAL OF SYSTEMS SCIENCE AND SYSTEMS ENGINEERING, 2009, 18(4): 489-507.
[24] Shen M, Carswell M, et al.Emergency management information systems: Could decision makers be supported in choosing display formats?[J]. DECISION SUPPORT SYSTEMS, 2012, 52(2): 318-330.
[25] Mendonca D, Jeffereson T, et al.Collaborative adhocracies and mix-and-match technologies in emergency management - Using the emergent interoperability approach to address unanticipated contingencies during emergency response[J]. COMMUNICATIONS OF THE ACM, 2007, 50(3): 45-49.
[26] Carver L,Turoff M.Human-computer interaction: The human and computer as a team in emergency management information systems[J]. COMMUNICATIONS OF THE ACM, 2007,50(3): 33-38.
[27] Mendonca DJ, William AA.A cognitive model of improvisation in emergency management[J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2007, 37(4): 547-561.
[28] Guastello Stephen J, Bond Robert W Jr. Coordination learning in stag hunt games with application to emergency management[J]. Nonlinear dynamics, psychology, and life sciences, 2004, 8(3): 345-74.
[29] Mustajoki J, Hamalainen RP, et al.Interactive computer support in decision conferencing: Two cases on off-site nuclear emergency management[J]. DECISION SUPPORT SYSTEMS, 2007, 42(4): 2247-2260.
[30] Convertino G, Mentis HM, et al.Supporting Common Ground and Awareness in Emergency Management Planning: A Design Research Project[J]. ACM TRANSACTIONS ON COMPUTER-HUMAN INTERACTION, 2011, 18(4): .
[31] Wu AN, Convertino G, et al.Supporting collaborative sense-making in emergency management through geo-visualization[J]. INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, 2013, 71(1):4-23.
[32] Sommer M, Nja O, et al.Police officers' learning in relation to emergency management: A case study[J]. INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, 2017, 21: 70-84.
[33] Wex F, Schryen G, et al.Emergency response in natural disaster management: Allocation and scheduling of rescue units[J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2014, 235(3): 697-708.
[34] Fogli D, Guida G.Knowledge-centered design of decision support systems for emergency management[J]. DECISION SUPPORT SYSTEMS, 2013, 55(1): 336-347.
[35] Chen R, Sharman R, et al.Coordination in emergency response management[J]. COMMUNICATIONS OF THE ACM, 2008, 51(5): 66-73.
[36] Murphy Brenda L.Locating social capital in resilient community-level emergency management[J]. NATURAL HAZARDS, 2007, 41(2): 297-315.
[37] Kapucu Naim.Collaborative emergency management: better community organising, better public preparedness and response[J]. Disasters, 2008, 32(2): 239-62.
[38] Jaeger PT, Shneiderman B, et al.Community response grids: E-government, social networks, and effective emergency management[J]. TELECOMMUNICATIONS POLICY, 2007, 31(10-11): 592-604.
[39] Li J, Li QR, et al.Community-based collaborative information system for emergency management[J]. COMPUTERS & OPERATIONS RESEARCH, 2014,(42):116-124.
[40] Luchetti G, Mancini A, et al.Whistland: An Augmented Reality Crowd-Mapping System for Civil Protection and Emergency Management[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2017, 6(2):.
[41] Liu SB.Crisis Crowdsourcing Framework: Designing Strategic Configurations of Crowdsourcing for the Emergency Management Domain[J]. COMPUTER SUPPORTED COOPERATIVE WORK-THE JOURNAL OF COLLABORATIVE COMPUTING, 2014, 23(4-6): 389-443.
[42] Liu HX, Ban JX, et al.Model reference adaptive control framework for real-time traffic management under emergency evacuation[J]. JOURNAL OF URBAN PLANNING AND DEVELOPMENT-ASCE, 2007, 133(1): 43-50.
[43] Zhang XG, Zhang ZL, et al.Route selection for emergency logistics management: A bio-inspired algorithm[J]. SAFETY SCIENCE, 2013, 54: 87-91.
[44] Haghighi PD, Burstein F, et al.Development and evaluation of ontology for intelligent decision support in medical emergency management for mass gatherings[J]. DECISION SUPPORT SYSTEMS, 2013, 54(2): 1 192-1 204.
[45] Joshi M, Mansata A, et al.Design and analysis of multi-level active queue management mechanisms for emergency traffic[J]. COMPUTER COMMUNICATIONS, 2005, 28(2): 162-173.
[46] Chern CC, Chen YL, et al.A heuristic relief transportation planning algorithm for emergency supply chain management[J]. INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS, 2010, 87(7): 1 638-1 664.
[47] Sheu Jiuh-Biing.Dynamic relief-demand management for emergency logistics operations under large-scale disasters[J]. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2010, 46(1): 1-17.
[48] Yuan Y, Wang DW.Path selection model and algorithm for emergency logistics management[J]. COMPUTERS & INDUSTRIAL ENGINEERING, 2009, 56(3): 1 081-1 094.
[49] Zanini MA, Faleschini F, et al.Post-quake urban road network functionality assessment for seismic emergency management in historical centres[J]. STRUCTURE AND INFRASTRUCTURE ENGINEERING, 2017, 13(9): 1 117-1 129.
[50] Sheu JB.Challenges of emergency logistics management[J]. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2007, 43(6): 655-659.
[51] San-Miguel-Ayanz J, Ravail N, et al. Active fire detection for fire emergency management: Potential and limitations for the operational use of remote sensing[J]. NATURAL HAZARDS, 2005, 35(3): 361-376.
[52] Zhang GQ, Ma J, et al.Emergency management evaluation by a fuzzy multi-criteria group decision support system[J]. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2009, 23(4): 517-527.
[53] Zhou Q, Huang WL, et al.Identifying critical success factors in emergency management using a fuzzy DEMATEL method[J]. SAFETY SCIENCE, 2011, 49(2):243-252.
[54] Zhou XY, Shi YQY, et al.D-DEMATEL: A new method to identify critical success factors in emergency management[J]. SAFETY SCIENCE, 2017,(91):93-104.
[55] Tveiten CK, Albrechtsen E, et al.Building resilience into emergency management[J]. SAFETY SCIENCE, 2012, 50(10): 1 960-1 966.
[56] Green LV, Kolesar PJ.Improving emergency responsiveness with management science[J]. MANAGEMENT SCIENCE, 2004,50(8):1 001-1 014.
[57] Reddick Christopher.Information technology and emergency management: preparedness and planning in US states[J]. Disasters, 2011, 35(1):45-61.
[58] Crowe Adam.The social media manifesto: a comprehensive review of the impact of social media on emergency management[J]. Journal of business continuity & emergency planning, 2011, 5(1):409-20.
[59] Seppanen H, Makela J, et al.Developing shared situational awareness for emergency management[J]. SAFETY SCIENCE,2013,(55):1-9.
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