23.2.2.5.13 Disaster Management, Damage Mitigation, Risk Evaluation, Emergency Management

Chapter Contents (Back)
Remote Sensing. Disaster Management. Emergency Management.
See also Evacuation Management, Disaster Management.
See also Disaster Management, Seismic Vulnerability, Earthquakes.
See also Site Model Change Detection, Map Update.
See also Change Detection -- Image Level.
See also Oil Slicks, Oil Spills, Water Areas.

Global Environment Monitoring and Disaster Assessment System,
GEMDAS. 2010.
WWW Link. Vendor, Remote Sensing. Environmental, remote sensing, monitoring. Use of Formosat-2 for quick coverage for evaluating various disasters. Google-Earth plugins have stability issues.

Voigt, S., Kemper, T., Riedlinger, T., Kiefl, R., Scholte, K., Mehl, H.,
Satellite Image Analysis for Disaster and Crisis-Management Support,
GeoRS(45), No. 6, June 2007, pp. 1520-1528.
IEEE DOI 0706
BibRef

di Martino, G., Iodice, A., Riccio, D.[Daniele], Ruello, G.[Giuseppe],
A Novel Approach for Disaster Monitoring: Fractal Models and Tools,
GeoRS(45), No. 6, June 2007, pp. 1559-1570.
IEEE DOI 0706
BibRef

Riccio, D.[Daniele], Ruello, G.[Giuseppe],
Synthesis of Fractal Surfaces for Remote-Sensing Applications,
GeoRS(53), No. 7, July 2015, pp. 3803-3814.
IEEE DOI 1503
Fractals BibRef

Riccio, D.[Daniele], di Martino, G.[Gerardo], Iodice, A.[Antonio], Ruello, G.[Giuseppe], Zinno, I.[Ivana],
Fractal dimension images from SAR images,
ICIP14(106-110)
IEEE DOI 1502
Estimation BibRef

Messinger, D.[David], McKeown, D.[Don], and Raqueño, N.[Nina],
Remote sensing aid to the Japanese earthquake and tsunami relief effort,
SPIE(Newsroom), July 19, 2011
DOI Link 1108
Space-based remote sensing was used to produce high-resolution maps for relief workers following the March 2011 earthquake and tsunami in Japan. BibRef

Lin, Z., Levy, J., Lei, H., Bell, M.,
Advances in Disaster Modeling, Simulation and Visualization for Sandstorm Risk Management in North China,
RS(4), No. 5, May 2012, pp. 1337-1354.
DOI Link 1205
BibRef

Duda, K.A., Abrams, M.,
ASTER Satellite Observations for International Disaster Management,
PIEEE(100), No. 10, October 2012, pp. 2798-2811.
IEEE DOI 1210
BibRef

Aulov, O., Halem, M.,
Human Sensor Networks for Improved Modeling of Natural Disasters,
PIEEE(100), No. 10, October 2012, pp. 2812-2823.
IEEE DOI 1210
BibRef

Anyamba, A., Linthicum, K.J., Small, J., Britch, S.C., Tucker, C.J.,
Remote Sensing Contributions to Prediction and Risk Assessment of Natural Disasters Caused by Large-Scale Rift Valley Fever Outbreaks,
PIEEE(100), No. 10, October 2012, pp. 2824-2834.
IEEE DOI 1210
BibRef

Zeug, G.[Gunter], Kranz, O.[Olaf],
Remote Sensing Based Population Maps for Crisis Response,
PFG(2010), No. 1, 2010, pp. 33-46.
WWW Link. 1211
BibRef

Hoja, D.[Danielle], Schwinger, M.[Maximilian], Wendleder, A.[Anna], Löwe, P.[Peter], Konstanski, H.[Harald], Weichelt, H.[Horst], ander Havel, B.[Brandenburg], Kiefl, N.[Nadine], Janoth, J.[Jürgen],
Optimised Near-Real Time Data Acquisition and Preprocessing of Satellite Data for Disaster Related Rapid Mapping,
PFG(2010), No. 6, 2010, pp. 429-438.
WWW Link. 1211
BibRef

Andresen, T., Stracke, F.,
Applying Advanced Techniques to the Dissemination of Satellite Based Crisis Information,
PFG(2011), No. 1, 2011, pp. xx-yy.
WWW Link. 1211
BibRef

Zhang, C., Zhao, T., Li, W.,
Towards Improving Query Performance of Web Feature Services (WFS) for Disaster Response,
IJGI(2), No. 1, 2013, pp. 67-81.
DOI Link 1303
BibRef

Yerramilli, S.,
Potential Impact of Climate Changes on the Inundation Risk Levels in a Dam Break Scenario,
IJGI(2), No. 1, 2013, pp. 110-134.
DOI Link 1303
BibRef

Zheng, L., Shen, C., Tang, L., Zeng, C., Li, T., Luis, S., Chen, S.C.,
Data Mining Meets the Needs of Disaster Information Management,
HMS(43), No. 5, 2013, pp. 451-464.
IEEE DOI 1311
Communities BibRef

Manfré, L.A.[Luiz A.], Hirata, E.[Eliane], Silva, J.B.[Janaína B.], Shinohara, E.J.[Eduardo J.], Giannotti, M.A.[Mariana A.], Larocca, A.P.C.[Ana Paula C.], Quintanilha, J.A.[José A.],
Review: An Analysis of Geospatial Technologies for Risk and Natural Disaster Management,
IJGI(1), No. 2, September 2012, pp. 166-185.
DOI Link 1208
BibRef

Dorn, H.[Helen], Vetter, M.[Michael], Höfle, B.[Bernhard],
GIS-Based Roughness Derivation for Flood Simulations: A Comparison of Orthophotos, LiDAR and Crowdsourced Geodata,
RS(6), No. 2, 2014, pp. 1739-1759.
DOI Link 1403
BibRef

Schmitt, A.[Andreas], Wessel, B.[Birgit], Roth, A.[Achim],
Curvelet-based Change Detection on SAR Images for Natural Disaster Mapping,
PFG(2010), No. 6, 2010, pp. 463-474.
WWW Link. 1211
BibRef
Earlier:
Curvelet Approach for SAR Image Denoising, Structure Enhancement, and Change Detection,
CMRT09(151-156).
PDF File. 0909
BibRef

Schmitt, A.[Andreas], Wessel, B.[Birgit], Roth, A.[Achim],
An Innovative Curvelet-only-Based Approach for Automated Change Detection in Multi-Temporal SAR Imagery,
RS(6), No. 3, 2014, pp. 2435-2462.
DOI Link 1404
BibRef

Broussolle, J.[Joan], Kyovtorov, V.[Vladimir], Basso, M.[Marco], di Silvi e Castiglione, G.F.[Guido Ferraro], Morgado, J.F.[Jorge Figueiredo], Giuliani, R.[Raimondo], Oliveri, F.[Franco], Sammartino, P.F.[Pier Francesco], Tarchi, D.[Dario],
MELISSA, a new class of ground based InSAR system. An example of application in support to the Costa Concordia emergency,
PandRS(91), No. 1, 2014, pp. 50-58.
Elsevier DOI 1404
MIMO BibRef

Vieweg, S.[Sarah], Hodges, A.[Adam],
Rethinking Context: Leveraging Human and Machine Computation in Disaster Response,
Computer(47), No. 4, April 2014, pp. 22-27.
IEEE DOI 1405
Context awareness BibRef

Middleton, S.E.[Stuart E.], Middleton, L.[Lee], Modafferi, S.[Stefano],
Real-Time Crisis Mapping of Natural Disasters Using Social Media,
IEEE_Int_Sys(29), No. 2, March 2014, pp. 9-17.
IEEE DOI 1407
Databases BibRef

Singh, G., Yamaguchi, Y., Boerner, W.M., Park, S.E.[Sang-Eun],
Monitoring of the March 11, 2011, Off-Tohoku 9.0 Earthquake With Super-Tsunami Disaster by Implementing Fully Polarimetric High-Resolution POLSAR Techniques,
PIEEE(100), No. 3, March 2013, pp. 831-846.
IEEE DOI 1303
BibRef

Liu, C.C.[Cheng-Chien], and Chen, N.Y.[Nai-Yu],
Responding to natural disasters with satellite imagery,
SPIE(Newsroom), July 19, 2011
DOI Link 1107
In the aftermath of Japan's earthquake and tsunami, imagery from the Formosat-2 mission was rapidly acquired, processed, and distributed. BibRef

O'Neill, M., Mikler, A.R., Indrakanti, S., Tiwari, C., Jimenez, T.,
RE-PLAN: An Extensible Software Architecture to Facilitate Disaster Response Planning,
SMCS(44), No. 12, December 2014, pp. 1569-1583.
IEEE DOI 1412
disasters BibRef

Liu, C.[Cong], Zeng, Q.T.[Qing-Tian], Duan, H.[Hua], Zhou, M.[Meng_Chu], Lu, F.M.[Fa-Ming], Cheng, J.J.[Jiu-Jun],
E-Net Modeling and Analysis of Emergency Response Processes Constrained by Resources and Uncertain Durations,
SMCS(45), No. 1, January 2015, pp. 84-96.
IEEE DOI 1502
Petri nets BibRef

Singh, N.[Nagendra], Tuttle, M.[Mark], Bhaduri, B.[Budhendra],
Enhancing Disaster Management: Development of a Spatial Database of Day Care Centers in the USA,
IJGI(4), No. 3, 2015, pp. 1290.
DOI Link 1508
BibRef

Aye, Z.C.[Zar Chi], Jaboyedoff, M.[Michel], Derron, M.H.[Marc-Henri], van Westen, C.J.[Cees J.],
Prototype of a Web-based Participative Decision Support Platform in Natural Hazards and Risk Management,
IJGI(4), No. 3, 2015, pp. 1201.
DOI Link 1508
BibRef

Poorazizi, M.E.[Mohammad Ebrahim], Hunter, A.J.S.[Andrew J.S.], Steiniger, S.[Stefan],
A Volunteered Geographic Information Framework to Enable Bottom-Up Disaster Management Platforms,
IJGI(4), No. 3, 2015, pp. 1389.
DOI Link 1511
BibRef

Huang, Q.[Qunying], Xiao, Y.[Yu],
Geographic Situational Awareness: Mining Tweets for Disaster Preparedness, Emergency Response, Impact, and Recovery,
IJGI(4), No. 3, 2015, pp. 1549.
DOI Link 1511
BibRef

Lichter, M.[Michal], Grinberger, A.Y.[Asher Yair], Felsenstein, D.[Daniel],
Simulating and Communicating Outcomes in Disaster Management Situations,
IJGI(4), No. 4, 2015, pp. 1827.
DOI Link 1511
BibRef

Fekete, A.[Alexander], Tzavella, K.[Katerina], Armas, I.[Iuliana], Binner, J.[Jane], Garschagen, M.[Matthias], Giupponi, C.[Carlo], Mojtahed, V.[Vahid], Pettita, M.[Marcello], Schneiderbauer, S.[Stefan], Serre, D.[Damien],
Critical Data Source; Tool or Even Infrastructure? Challenges of Geographic Information Systems and Remote Sensing for Disaster Risk Governance,
IJGI(4), No. 4, 2015, pp. 1848.
DOI Link 1511
BibRef

Miyazaki, H.[Hiroyuki], Nagai, M.[Masahiko], Shibasaki, R.[Ryosuke],
Reviews of Geospatial Information Technology and Collaborative Data Delivery for Disaster Risk Management,
IJGI(4), No. 4, 2015, pp. 1936.
DOI Link 1511
BibRef

Kawamura, Y.[Youhei], Wagner, M.[Markus], Jang, H.[Hyongdoo], Nobuhara, H.[Hajime], Shibuya, T.[Takeshi], Kitahara, I.[Itaru], Dewan, A.M.[Ashraf M], Veenendaal, B.[Bert],
A Multimedia Data Visualization Based on Ad Hoc Communication Networks and Its Application to Disaster Management,
IJGI(4), No. 4, 2015, pp. 2004.
DOI Link 1511
BibRef

Zhai, X.[Xi], Yue, P.[Peng], Zhang, M.[Mingda],
A Sensor Web and Web Service-Based Approach for Active Hydrological Disaster Monitoring,
IJGI(5), No. 10, 2016, pp. 171.
DOI Link 1610
BibRef

Ciampalini, A.[Andrea], Raspini, F.[Federico], Bianchini, S.[Silvia], Tarchi, D.[Dario], Vespe, M.[Michele], Moretti, S.[Sandro], Casagli, N.[Nicola],
The Costa Concordia last cruise: The first application of high frequency monitoring based on COSMO-SkyMed constellation for wreck removal,
PandRS(112), No. 1, 2016, pp. 37-49.
Elsevier DOI 1602
Costa Concordia BibRef

Marzuoli, A., Boidot, E., Feron, E., van Erp, P.B.C., Ucko, A., Bayen, A., Hansen, M.,
Multimodal Impact Analysis of an Airside Catastrophic Event: A Case Study of the Asiana Crash,
ITS(17), No. 2, February 2016, pp. 587-604.
IEEE DOI 1602
Accidents BibRef

Marzuoli, A., Boidot, E., Colomar, P., Guerpillon, M., Feron, E., Bayen, A., Hansen, M.,
Improving Disruption Management With Multimodal Collaborative Decision-Making: A Case Study of the Asiana Crash and Lessons Learned,
ITS(17), No. 10, October 2016, pp. 2699-2717.
IEEE DOI 1610
Aircraft BibRef

Weaver, A.C., Byrd, G., Bryce, R.,
Computing Tools and Techniques for Emergency Response,
Computer(49), No. 5, May 2016, pp. 16-18.
IEEE DOI 1605
big data BibRef

Murphy, R.R.,
Emergency Informatics: Using Computing to Improve Disaster Management,
Computer(49), No. 5, May 2016, pp. 19-27.
IEEE DOI 1605
ESFs BibRef

Avvenuti, M., Cresci, S., Vigna, F.D., Tesconi, M.,
Impromptu Crisis Mapping to Prioritize Emergency Response,
Computer(49), No. 5, May 2016, pp. 28-37.
IEEE DOI 1605
computing and social issues BibRef

Bozkurt, A., Lobaton, E., Sichitiu, M.,
A Biobotic Distributed Sensor Network for Under-Rubble Search and Rescue,
Computer(49), No. 5, May 2016, pp. 38-46.
IEEE DOI 1605
biobotics BibRef

Besaleva, L.I., Weaver, A.C.,
Applications of Social Networks and Crowdsourcing for Disaster Management Improvement,
Computer(49), No. 5, May 2016, pp. 47-53.
IEEE DOI 1605
crowdsourcing BibRef

Laylavi, F.[Farhad], Rajabifard, A.[Abbas], Kalantari, M.[Mohsen],
A Multi-Element Approach to Location Inference of Twitter: A Case for Emergency Response,
IJGI(5), No. 5, 2016, pp. 56.
DOI Link 1606
BibRef

Liu, S.[Shufan], Hodgson, M.E.[Michael E.],
Satellite image collection modeling for large area hazard emergency response,
PandRS(118), No. 1, 2016, pp. 13-21.
Elsevier DOI 1606
Remote sensing BibRef

Singh, A., Adams, R., Dookie, I., Kissoon, S.,
A Simulation Tool for Examining the Effect of Communications on Disaster Response in the Oil and Gas Industry,
SMCS(46), No. 8, August 2016, pp. 1036-1046.
IEEE DOI 1608
gas industry BibRef

Tang, M., Zhu, H., Mao, X.,
A Lightweight Social Computing Approach to Emergency Management Policy Selection,
SMCS(46), No. 8, August 2016, pp. 1075-1087.
IEEE DOI 1608
common-sense reasoning BibRef

Ra, G.J.[Gun-Ju], Sung, J.H.[Jung-Hwan], Yu, H.[Huibeom], Min, H.Y.[Hyeong-Yu],
Analysis of serious games based on pedagogical features and proposal of civil defence training game,
IJCVR(6), No. 3, 2016, pp. 235-243.
DOI Link 1608
BibRef

Koyama, C.N.[Christian N.], Gokon, H.[Hideomi], Jimbo, M.[Masaru], Koshimura, S.[Shunichi], Sato, M.[Motoyuki],
Disaster debris estimation using high-resolution polarimetric stereo-SAR,
PandRS(120), No. 1, 2016, pp. 84-98.
Elsevier DOI 1610
Debris BibRef

Wang, W.[Wei], Hu, C.B.[Chuan-Bo], Chen, N.C.[Neng-Cheng], Xiao, C.J.[Chang-Jiang], Jia, S.[Shan],
Spatio-Temporal Risk Assessment Process Modeling for Urban Hazard Events in Sensor Web Environment,
IJGI(5), No. 11, 2016, pp. 203.
DOI Link 1612
BibRef

Qiu, L.Y.[Lin-Yao], Zhu, Q.[Qing], Du, Z.Q.[Zhi-Qiang], Wang, M.[Meng], Fan, Y.[Yida],
An On-Demand Retrieval Method Based on Hybrid NoSQL for Multi-Layer Image Tiles in Disaster Reduction Visualization,
IJGI(6), No. 1, 2017, pp. xx-yy.
DOI Link 1702
BibRef

Tomás, R.[Roberto], Li, Z.H.[Zhen-Hong],
Earth Observations for Geohazards: Present and Future Challenges,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Li, T.[Tao], Xie, N.[Ning], Zeng, C.Q.[Chun-Qiu], Zhou, W.[Wubai], Zheng, L.[Li], Jiang, Y.[Yexi], Yang, Y.M.[Yi-Min], Ha, H.Y.[Hsin-Yu], Xue, W.[Wei], Huang, Y.[Yue], Chen, S.C.[Shu-Ching], Navlakha, J.[Jainendra], Iyengar, S.S.,
Data-Driven Techniques in Disaster Information Management,
Surveys(50), No. 1, April 2017, pp. Article No 1.
DOI Link 1704
Improving disaster management and recovery techniques is one of national priorities given the huge toll caused by man-made and nature calamities. BibRef

Peng, G.Q.[Guo-Qiang], Yue, S.S.[Song-Shan], Li, Y.T.[Yu-Ting], Song, Z.Y.[Zhi-Yao], Wen, Y.N.[Yong-Ning],
A Procedural Construction Method for Interactive Map Symbols Used for Disasters and Emergency Response,
IJGI(6), No. 4, 2017, pp. xx-yy.
DOI Link 1705
BibRef

Yan, Y.W.[Ying-Wei], Eckle, M.[Melanie], Kuo, C.L.[Chiao-Ling], Herfort, B.[Benjamin], Fan, H.C.[Hong-Chao], Zipf, A.[Alexander],
Monitoring and Assessing Post-Disaster Tourism Recovery Using Geotagged Social Media Data,
IJGI(6), No. 5, 2017, pp. xx-yy.
DOI Link 1706
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Kuo, C.L.[Chiao-Ling], Chan, T.C.[Ta-Chien], Fan, I.C.[I-Chun], Zipf, A.[Alexander],
Efficient Method for POI/ROI Discovery Using Flickr Geotagged Photos,
IJGI(7), No. 3, 2018, pp. xx-yy.
DOI Link 1804
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Sang, X.J.[Xue-Jia], Xue, L.F.[Lin-Fu], Leng, X.P.[Xiao-Peng], Liu, J.W.[Ji-Wen], Zhan, L.[Liang],
Construction of a Decision Support System Based on GP Services, Using a Warning-Judgment Module as an Example,
IJGI(6), No. 6, 2017, pp. xx-yy.
DOI Link 1706
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Li, S.[Suju], Cui, Y.[Yan], Liu, M.[Ming], He, H.X.[Hai-Xia], Ravan, S.[Shirish],
Integrating Global Open Geo-Information for Major Disaster Assessment: A Case Study of the Myanmar Flood,
IJGI(6), No. 7, 2017, pp. xx-yy.
DOI Link 1708
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Murzintcev, N.[Nikita], Cheng, C.X.[Chang-Xiu],
Disaster Hashtags in Social Media,
IJGI(6), No. 7, 2017, pp. xx-yy.
DOI Link 1708
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Zhang, X.[Xin], Chen, Y.X.[Yong-Xin], Yu, L.J.[Lin-Jun], Wang, W.S.[Wei-Sheng], Wu, Q.Y.[Qian-Yu],
Three-Dimensional Modeling and Indoor Positioning for Urban Emergency Response,
IJGI(6), No. 7, 2017, pp. xx-yy.
DOI Link 1708
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Svatonova, H.[Hana], Kolejka, J.[Jaromir],
Comparative Research of Visual Interpretation of Aerial Images and Topographic Maps for Unskilled Users: Searching for Objects Important for Decision-Making in Crisis Situations,
IJGI(6), No. 8, 2017, pp. xx-yy.
DOI Link 1708
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Rezník, T.[Tomáš], Lukas, V.[Vojtech], Charvát, K.[Karel], Charvát, K.[Karel], Krivánek, Z.[Zbynek], Kepka, M.[Michal], Herman, L.[Lukáš], Rezníková, H.[Helena],
Disaster Risk Reduction in Agriculture through Geospatial (Big) Data Processing,
IJGI(6), No. 8, 2017, pp. xx-yy.
DOI Link 1708
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Cerba, O.[Otakar], Jedlicka, K.[Karel], Cada, V.[Václav], Charvát, K.[Karel],
Centrality as a Method for the Evaluation of Semantic Resources for Disaster Risk Reduction,
IJGI(6), No. 8, 2017, pp. xx-yy.
DOI Link 1708
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Xiao, C.J.[Chang-Jiang], Chen, N.C.[Neng-Cheng], Gong, J.Y.[Jian-Ya], Wang, W.[Wei], Hu, C.B.[Chuan-Bo], Chen, Z.Q.[Ze-Qiang],
Event-Driven Distributed Information Resource-Focusing Service for Emergency Response in Smart City with Cyber-Physical Infrastructures,
IJGI(6), No. 8, 2017, pp. xx-yy.
DOI Link 1708
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Li, J., He, Z., Plaza, J., Li, S., Chen, J., Wu, H., Wang, Y., Liu, Y.,
Social Media: New Perspectives to Improve Remote Sensing for Emergency Response,
PIEEE(105), No. 10, October 2017, pp. 1900-1912.
IEEE DOI 1710
Earth, emergency management, remote sensing, social networking (online), EO sensors, Earth observation, BibRef

Meng, L., Kang, Q., Han, C., Zhou, M.,
Determining the Optimal Location of Terror Response Facilities Under the Risk of Disruption,
ITS(19), No. 2, February 2018, pp. 476-486.
IEEE DOI 1802
emergency management, emergency services, facility location, game theory, optimisation, terrorism, State strategy, terrorism BibRef

Liu, W.[Wei], Dugar, S.[Sumit], McCallum, I.[Ian], Thapa, G.[Gaurav], See, L.[Linda], Khadka, P.[Prakash], Budhathoki, N.[Nama], Brown, S.[Sarah], Mechler, R.[Reinhard], Fritz, S.[Steffen], Shakya, P.[Puja],
Integrated Participatory and Collaborative Risk Mapping for Enhancing Disaster Resilience,
IJGI(7), No. 2, 2018, pp. xx-yy.
DOI Link 1802
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Wang, X., Choi, T.M., Liu, H., Yue, X.,
A Novel Hybrid Ant Colony Optimization Algorithm for Emergency Transportation Problems During Post-Disaster Scenarios,
SMCS(48), No. 4, April 2018, pp. 545-556.
IEEE DOI 1804
Algorithm design and analysis, Genetic algorithms, Linear programming, Optimization, Vehicle routing, Vehicles, integer linear programming BibRef

Chen, Z.[Zi], Lim, S.[Samsung],
Collecting Typhoon Disaster Information from Twitter Based on Query Expansion,
IJGI(7), No. 4, 2018, pp. xx-yy.
DOI Link 1805
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Deng, X.L.[Xiao Long], Yu, Y.L.[Yin Luan], Guo, D.H.[Dan Huai], Dou, Y.T.[Ying Tong],
Efficient CPS model based online opinion governance modeling and evaluation for emergency accidents,
GeoInfo(22), No. 2, April 2018, pp. 479-502.
WWW Link. 1805
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Liu, C.[Cheng], Qian, J.[Jing], Guo, D.H.[Dan-Huai], Liu, Y.[Yi],
A Spatio-temporal Scenario Model for Emergency Decision,
GeoInfo(22), No. 2, April 2018, pp. 411-433.
WWW Link. 1805
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Havivi, S.[Shiran], Schvartzman, I.[Ilan], Maman, S.[Shimrit], Rotman, S.R.[Stanley R.], Blumberg, D.G.[Dan G.],
Combining TerraSAR-X and Landsat Images for Emergency Response in Urban Environments,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
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And: Erratum: RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
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Havivi, S.[Shiran], Schvartzman, I.[Ilan], Maman, S.[Shimrit], Marinoni, A., Gamba, P., Rotman, S.R.[Stanley R.], Blumberg, D.G.[Dan G.],
Utilizing SAR and Multispectral Integrated Data For Emergency Response,
ISPRS16(B7: 493-496).
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Mileu, N.[Nelson], Queirós, M.[Margarida],
Integrating Risk Assessment into Spatial Planning: RiskOTe Decision Support System,
IJGI(7), No. 5, 2018, pp. xx-yy.
DOI Link 1806
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Hu, Y.[Ya], Zhu, J.[Jun], Li, W.L.[Wei-Lian], Zhang, Y.H.[Yun-Hao], Zhu, Q.[Qing], Qi, H.[Hua], Zhang, H.X.[Hui-Xin], Cao, Z.Y.[Zhen-Yu], Yang, W.J.[Wei-Jun], Zhang, P.C.[Peng-Cheng],
Construction and Optimization of Three-Dimensional Disaster Scenes within Mobile Virtual Reality,
IJGI(7), No. 6, 2018, pp. xx-yy.
DOI Link 1806
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Leng, X.P.[Xiao-Peng], Liu, D.L.[Dun-Long], Luo, J.S.[Jun-Song], Mei, Z.Y.[Zhan-Yong],
Research on a 3D Geological Disaster Monitoring Platform Based on REST Service,
IJGI(7), No. 6, 2018, pp. xx-yy.
DOI Link 1806
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Schumann, G.J.P.[Guy J-P.], Brakenridge, G.R.[G. Robert], Kettner, A.J.[Albert J.], Kashif, R.[Rashid], Niebuhr, E.[Emily],
Assisting Flood Disaster Response with Earth Observation Data and Products: A Critical Assessment,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
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Wang, Z.Y.[Zhao-Yang], Li, H.[Hui], Cai, X.O.[Xia-Obin],
Remotely Sensed Analysis of Channel Bar Morphodynamics in the Middle Yangtze River in Response to a Major Monsoon Flood in 2002,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
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Lee, J.[Jongook], Lee, D.K.[Dong Kun],
Application of Industrial Risk Management Practices to Control Natural Hazards, Facilitating Risk Communication,
IJGI(7), No. 9, 2018, pp. xx-yy.
DOI Link 1810
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Zhang, X.[Xun], Jin, M.[Min], Fu, J.Y.[Jing-Ying], Hao, M.M.[Meng-Meng], Yu, C.C.[Chong-Chong], Xie, X.L.[Xiao-Lan],
On the Risk Assessment of Terrorist Attacks Coupled with Multi-Source Factors,
IJGI(7), No. 9, 2018, pp. xx-yy.
DOI Link 1810
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Zhao, X.Z.[Xi-Zhi], Yu, B.L.[Bai-Lang], Liu, Y.[Yan], Yao, S.J.[Shen-Jun], Lian, T.[Ting], Chen, L.J.[Liu-Jia], Yang, C.S.[Cheng-Shu], Chen, Z.Q.[Zuo-Qi], Wu, J.P.[Jian-Ping],
NPP-VIIRS DNB Daily Data in Natural Disaster Assessment: Evidence from Selected Case Studies,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
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Ghaffarian, S.[Saman], Kerle, N.[Norman], Filatova, T.[Tatiana],
Remote Sensing-Based Proxies for Urban Disaster Risk Management and Resilience: A Review,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
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Divjak, A.K.[Ana Kuveždic], Lapaine, M.[Miljenko],
Crisis Maps: Observed Shortcomings and Recommendations for Improvement,
IJGI(7), No. 11, 2018, pp. xx-yy.
DOI Link 1812
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Albano, R.[Raffaele], Sole, A.[Aurelia],
Geospatial Methods and Tools for Natural Risk Management and Communications,
IJGI(7), No. 12, 2018, pp. xx-yy.
DOI Link 1901
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Chen, S.,
Multimedia for Disaster Information Management,
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Ge, X.T.[Xing-Tong], Yang, Y.[Yi], Chen, J.H.[Jia-Hui], Li, W.C.[Wei-Chao], Huang, Z.S.[Zhi-Sheng], Zhang, W.Y.[Wen-Yue], Peng, L.[Ling],
Disaster Prediction Knowledge Graph Based on Multi-Source Spatio-Temporal Information,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203

See also Improved Multi-Source Data-Driven Landslide Prediction Method Based on Spatio-Temporal Knowledge Graph, An. BibRef

Ge, X.T.[Xing-Tong], Yang, Y.[Yi], Peng, L.[Ling], Chen, L.J.[Luan-Jie], Li, W.C.[Wei-Chao], Zhang, W.[Wenyue], Chen, J.H.[Jia-Hui],
Spatio-Temporal Knowledge Graph Based Forest Fire Prediction with Multi Source Heterogeneous Data,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208

See also Improved Multi-Source Data-Driven Landslide Prediction Method Based on Spatio-Temporal Knowledge Graph, An. BibRef

Pan, Q.Q.[Qing-Qing], Lin, S.[Siyu], Lu, W.[Wei], Wang, Z.Y.[Zhao-Yi], Wu, L.Y.[Lun-Yu], Zou, Y.R.[Ya-Rong], Ai, B.[Bo], Zhong, Z.D.[Zhang-Dui],
Space-Air-Sea-Ground Integrated Monitoring Network-Based Maritime Transportation Emergency Forecasting,
ITS(23), No. 3, March 2022, pp. 2843-2852.
IEEE DOI 2203
Oils, Forecasting, Marine vehicles, Monitoring, Predictive models, Trajectory, Wind forecasting, Sanchi accident BibRef

Yan, J.Z.[Jian-Zhuo], Chen, L.H.[Li-Hong], Yu, Y.C.[Yong-Chuan], Xu, H.X.[Hong-Xia], Gao, Q.C.[Qing-Cai], Cao, K.P.[Kun-Peng], Chen, J.H.[Jian-Hui],
EmergEventMine: End-to-End Chinese Emergency Event Extraction Using a Deep Adversarial Network,
IJGI(11), No. 6, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Li, S.[Shuanglin], Ma, Z.[Zujun], Choi, T.M.[Tsan-Ming],
Post-Disaster Distribution System Restoration With Logistics Support and Geographical Characteristics,
ITS(23), No. 7, July 2022, pp. 9011-9020.
IEEE DOI 2207
Maintenance engineering, Routing, Microorganisms, Logistics, Scheduling, Resource management, Transportation, bacterial colony chemotaxis algorithm BibRef

Wang, C.[Chao], Wang, Z.Q.[Zi-Qiong], Tian, Y.[Ye], Zhang, X.Y.[Xing-Yi], Xiao, J.H.[Jian-Hua],
A Dual-Population Based Evolutionary Algorithm for Multi-Objective Location Problem Under Uncertainty of Facilities,
ITS(23), No. 7, July 2022, pp. 7692-7707.
IEEE DOI 2207
Reliability, Uncertainty, Statistics, Sociology, Optimization, Evolutionary computation, Task analysis, evolutionary algorithm BibRef

Chen, Z.[Zhe], Chang, R.[Ruichun], Guo, H.D.[Hua-Dong], Pei, X.J.[Xiang-Jun], Zhao, W.[Wenbo], Yu, Z.[Zhengbo], Zou, L.[Lu],
Prediction of Potential Geothermal Disaster Areas along the Yunnan-Tibet Railway Project,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Tiam-Lee, T.J.[Thomas James], Henriques, R.[Rui], Manquinho, V.[Vasco],
Associative Analysis of Inefficiencies and Station Activity Levels in Emergency Response,
IJGI(11), No. 7, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Paliaga, G.[Guido], Luino, F.[Fabio], Turconi, L.[Laura], Profeta, M.[Mario], Vojinovic, Z.[Zoran], Cucchiaro, S.[Sara], Faccini, F.[Francesco],
Terraced Landscapes as NBSs for Geo-Hydrological Hazard Mitigation: Towards a Methodology for Debris and Soil Volume Estimations through a LiDAR Survey,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Vogel, A.[Anissa], Seeger, K.[Katharina], Brill, D.[Dominik], Brückner, H.[Helmut], Soe, K.K.[Khin Khin], Oo, N.W.[Nay Win], Aung, N.[Nilar], Myint, Z.N.[Zin Nwe], Kraas, F.[Frauke],
Identifying Land-Use Related Potential Disaster Risk Drivers in the Ayeyarwady Delta (Myanmar) during the Last 50 Years (1974-2021) Using a Hybrid Ensemble Learning Model,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Lee, B.[Bomi], Kang, A.[Aetti], Ham, S.[Sungil],
Measure of Utilizing Space Database Information for Improvement of Efficient Disaster Management (Focusing on Nuclear Power Plant Accidents),
IJGI(11), No. 8, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Dai, M.H.[Ming-Hui], Luan, T.H.[Tom H.], Su, Z.[Zhou], Zhang, N.[Ning], Xu, Q.C.[Qi-Chao], Li, R.D.[Rui-Dong],
Joint Channel Allocation and Data Delivery for UAV-Assisted Cooperative Transportation Communications in Post-Disaster Networks,
ITS(23), No. 9, September 2022, pp. 16676-16689.
IEEE DOI 2209
Channel allocation, Resource management, Throughput, Base stations, Distributed databases, Transportation, Pricing, data delivery BibRef

Wang, S.[Sishi], Tan, X.[Xin], Fan, F.L.[Feng-Lei],
Landscape Ecological Risk Assessment and Impact Factor Analysis of the Qinghai-Tibetan Plateau,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Maxant, J.[Jérôme], Braun, R.[Rémi], Caspard, M.[Mathilde], Clandillon, S.[Stephen],
ExtractEO, a Pipeline for Disaster Extent Mapping in the Context of Emergency Management,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link 2211
BibRef

Rojas, S.S.[Sara S.], Khan, S.D.[Shuhab D.], Shahtakhtinskiy, A.[Aydin],
Impact of Hurricane Harvey on the Upper Texas Coast: Using Airborne Lidar Data Sets with UAV-Derived Topographic Data to Monitor Change and Track Recovery,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Elliott, S.N.[Shiloh N.], Shields, A.J.B.[Ashley J. B.], Klaehn, E.M.[Elizabeth M.], Tien, I.[Iris],
Identifying Critical Infrastructure in Imagery Data Using Explainable Convolutional Neural Networks,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Sarikaya, M.S.[Mehmet Serif], Yanalak, M.[Mustafa], Karaman, H.[Himmet],
Site Selection of Natural Gas Emergency Response Team Centers in Istanbul Metropolitan Area Based on GIS and FAHP,
IJGI(11), No. 11, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Bi, H.[Huibo], Shang, W.L.[Wen-Long], Chen, Y.Y.[Yan-Yan], Yu, K.P.[Ke-Ping], Ochieng, W.Y.[Washington Y.],
An Incentive Based Road Traffic Control Mechanism for Covid-19 Pandemic Alike Emergency Preparedness and Response,
ITS(23), No. 12, December 2022, pp. 25092-25105.
IEEE DOI 2212
Transportation, COVID-19, Task analysis, Roads, Biological system modeling, Pricing, Hazards, long-term emergency BibRef

Kaur, S.[Swapandeep], Gupta, S.[Sheifali], Singh, S.[Swati], Arora, T.[Tanvi],
A Review on Natural Disaster Detection in Social Media and Satellite Imagery Using Machine Learning and Deep Learning,
IJIG(22), No. 5 2022, pp. 2250040.
DOI Link 2212
BibRef

Kim, Y.[Yeseul],
Applicability Assessment of a Spatiotemporal Geostatistical Fusion Model for Disaster Monitoring: Two Cases of Flood and Wildfire,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Wang, X.C.[Xiao-Chen], Xu, Q.[Qiang], Pu, C.[Chuanhao], Li, W.[Weile], Zhao, K.[Kuanyao], Li, Z.G.[Zhi-Gang], Chen, W.L.[Wan-Lin], Xiu, D.[Dehao],
Effects of the Gully Land Consolidation Project on Geohazards on a Typical Watershed on the Loess Plateau of China,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Janicka, J.[Joanna], Rapinski, J.[Jacek], Blaszczak-Bak, W.[Wioleta],
Orthogonal Msplit Estimation for Consequence Disaster Analysis,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Ma, J.[Jingru], Wang, X.D.[Xiao-Dong], Yuan, G.X.[Guang-Xiang],
Evaluation of Geological Hazard Susceptibility Based on the Regional Division Information Value Method,
IJGI(12), No. 1, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Park, Y.S.[Young-Soo], Lee, S.[Sangyoon], Sung, I.[Inkyung], Nielsen, P.[Peter], Moon, I.[Ilkyeong],
Facility Location-Allocation Problem for Emergency Medical Service With Unmanned Aerial Vehicle,
ITS(24), No. 2, February 2023, pp. 1465-1479.
IEEE DOI 2302
Medical services, Costs, Optimization, Autonomous aerial vehicles, Resource management, Heuristic algorithms, Moon, Branch-and-price, unmanned aerial vehicle BibRef

Weber, E.[Ethan], Papadopoulos, D.P.[Dim P.], Lapedriza, A.[Agata], Ofli, F.[Ferda], Imran, M.[Muhammad], Torralba, A.[Antonio],
Incidents1M: A Large-Scale Dataset of Images With Natural Disasters, Damage, and Incidents,
PAMI(45), No. 4, April 2023, pp. 4768-4781.
IEEE DOI 2303
Dataset, Disasters. Social networking (online), Task analysis, Satellites, Computational modeling, Data models, Visualization, Training, incident detection BibRef

Wang, Q.[Qian], Li, W.F.[Wen-Feng], Yu, Z.[Zheqi], Abbasi, Q.[Qammer], Imran, M.[Muhammad], Ansari, S.[Shuja], Sambo, Y.[Yusuf], Wu, L.W.[Li-Wen], Li, Q.[Qiang], Zhu, T.[Tong],
An Overview of Emergency Communication Networks,
RS(15), No. 6, 2023, pp. 1595.
DOI Link 2304
BibRef

Shafapourtehrany, M.[Mahyat], Batur, M.[Maryna], Shabani, F.[Farzin], Pradhan, B.[Biswajeet], Kalantar, B.[Bahareh], Özener, H.[Haluk],
A Comprehensive Review of Geospatial Technology Applications in Earthquake Preparedness, Emergency Management, and Damage Assessment,
RS(15), No. 7, 2023, pp. 1939.
DOI Link 2304
BibRef

Hu, L.[Lei], Zhang, C.X.[Chen-Xiao], Zhang, M.[Mingda], Shi, Y.M.[Yu-Ming], Lu, J.[Jiasheng], Fang, Z.[Zhe],
Enhancing FAIR Data Services in Agricultural Disaster: A Review,
RS(15), No. 8, 2023, pp. 2024.
DOI Link 2305
BibRef

Tamire, N.A.[Natnael Alemayehu], Kim, H.D.[Hae-Dong],
Effective Video Scene Analysis for a Nanosatellite Based on an Onboard Deep Learning Method,
RS(15), No. 8, 2023, pp. 2143.
DOI Link 2305
To use in disaster monitoring. Train for specific issue, load model to satellite. BibRef

Jeon, H.G.[Hae-Gon], Im, S.H.[Sung-Hoon], Lee, B.U.[Byeong-Uk], Rameau, F.[François], Choi, D.G.[Dong-Geol], Oh, J.[Jean], Kweon, I.S.[In So], Hebert, M.[Martial],
A Large-Scale Virtual Dataset and Egocentric Localization for Disaster Responses,
PAMI(45), No. 6, June 2023, pp. 6766-6782.
IEEE DOI 2305
Cameras, Location awareness, Visualization, Semantics, Buildings, Task analysis, Large-scale dataset, disaster scenarios, camera relocalization BibRef

Nasar, W.[Wajeeha], da Silva-Torres, R.[Ricardo], Gundersen, O.E.[Odd Erik], Karlsen, A.T.[Anniken T.],
The Use of Decision Support in Search and Rescue: A Systematic Literature Review,
IJGI(12), No. 5, 2023, pp. xx-yy.
DOI Link 2306
BibRef

Michel, G.R.[Gregorio Rosario], Gonzalez-Campos, M.E.[María Ester], Aybar, F.M.[Fernando Manzano], Crompvoets, J.[Joep],
Assessing SDI Implementation Scenarios to Facilitate Emergency Mapping Operations in the Dominican Republic,
IJGI(12), No. 5, 2023, pp. xx-yy.
DOI Link 2306
BibRef

Li, B.[Boyi], Gong, A.[Adu], Liu, L.F.[Long-Fei], Li, J.[Jing], Li, J.L.[Jing-Lin], Li, L.L.[Ling-Ling], Pan, X.[Xiang], Chen, Z.[Zikun],
An Earth Observation Framework in Service of the Sendai Framework for Disaster Risk Reduction 2015-2030,
IJGI(12), No. 6, 2023, pp. xx-yy.
DOI Link 2307
BibRef

Eltehewy, R.[Rokaya], Abouelfarag, A.[Ahmed], Saleh, S.N.[Sherine Nagy],
Efficient Classification of Imbalanced Natural Disasters Data Using Generative Adversarial Networks for Data Augmentation,
IJGI(12), No. 6, 2023, pp. xx-yy.
DOI Link 2307
BibRef

Kimijima, S.[Satomi], Nagai, M.[Masahiko],
Monitoring Mining-Induced Geo-Hazards in a Contaminated Mountainous Region of Indonesia Using Satellite Imagery,
RS(15), No. 13, 2023, pp. 3436.
DOI Link 2307
BibRef

Niu, C.[Chence], Jian, S.[Sisi], Nair, D.[Divya], Dixit, V.[Vinayak],
Pre-Disaster Resilient Road Network Investment Strategy With Uncertainty Quantification,
ITS(24), No. 7, July 2023, pp. 6849-6864.
IEEE DOI 2307
Roads, Investment, Resilience, Steady-state, Optimization, Costs, Correlation, Resilience, copula, Shapley value, pre-disaster investment strategy BibRef

Hong, J.H.[Jung-Hong], Shi, Y.T.[Yi-Tin],
Integration of Heterogeneous Sensor Systems for Disaster Responses in Smart Cities: Flooding as an Example,
IJGI(12), No. 7, 2023, pp. xx-yy.
DOI Link 2308
BibRef

Saravanan, S.[Subbarayan], Abijith, D.[Devanantham], Sundar, P.K.S.[Parthasarathy Kulithalai Shiyam], Reddy, N.M.[Nagireddy Masthan], Almohamad, H.[Hussein], Dughairi, A.A.A.[Ahmed Abdullah Al], Al-Mutiry, M.[Motrih], Abdo, H.G.[Hazem Ghassan],
Multi-Criterion Analysis of Cyclone Risk along the Coast of Tamil Nadu, India: A Geospatial Approach,
IJGI(12), No. 8, 2023, pp. 341.
DOI Link 2309
BibRef

Salvo, C.[Carolina], Vitale, A.[Alessandro],
A Remote Sensing Method to Assess the Future Multi-Hazard Exposure of Urban Areas,
RS(15), No. 17, 2023, pp. 4288.
DOI Link 2310
BibRef

Lu, Z.K.[Zeng-Kang], Yu, C.L.[Cheng-Long], Liu, H.[Huanan], Zhang, J.Q.[Ji-Quan], Zhang, Y.C.[Yi-Chen], Wang, J.[Jie], Chen, Y.[Yanan],
Application of AHP-ICM and AHP-EWM in Collapse Disaster Risk Mapping in Huinan County,
IJGI(12), No. 10, 2023, pp. 395.
DOI Link 2311
BibRef

Jury, M.R.[Mark R.],
Identifying the Drivers of Caribbean Severe Weather Impacts,
RS(15), No. 22, 2023, pp. 5282.
DOI Link 2311
BibRef

Shekarizadeh, S.[Soroor], Rastgoo, R.[Razieh], Al-Kuwari, S.[Saif], Sabokrou, M.[Mohammad],
Deep-Disaster: Unsupervised Disaster Detection and Localization Using Visual Data,
ICPR22(2814-2821)
IEEE DOI 2212
Location awareness, Training, Knowledge engineering, Visualization, Social networking (online), Neural networks, Organizations BibRef

Elfahim, O.[Omar], Laoula, E.B.[El_Mehdi Ben], Youssfi, M.[Mohamed], Barakat, O.[Oussama], Mestari, M.[Mohammed],
Deep Reinforcement Learning Approach for Emergency Response Management,
ISCV22(1-7)
IEEE DOI 2208
Q-learning, Hospitals, Pandemics, Sociology, Decision making, Markov processes, Emergency services, Sequential decision making BibRef