Maritime Computing Transportation, Environment, and Development: Trends of Data Visualization and Computational Methodologies
This research aims to characterize the field of maritime computing (MC) transportation, environment, and development. It is the first report to discover how MC domain configurations support management technologies. An aspect of this research is the creation of drivers of ocean-based businesses. Systematic search and meta-analysis are employed to classify and define the MC domain. MC developments were first identified in the 1990s, representing maritime development for designing sailboats, submarines, and ship hydrodynamics. The maritime environment is simulated to predict emission reductions, coastal waste particles, renewable energy, and engineer robots to observe the ocean ecosystem. Maritime transportation focuses on optimizing ship speed, maneuvering ships, and using liquefied natural gas and submarine pipelines. Data trends with machine learning can be obtained by collecting a big data of similar computational results for implementing artificial intelligence strategies. Research findings show that modeling is an essential skill set in the 21st century.
J. B. R. G. Souppez, “Interdisciplinary Pedagogy: A Maritime Case Study,” Dialogue: Journal of Learning and Teaching, pp. 37-44, January 2017.
M. Luo and S. H. Shin, “Half-Century Research Developments in Maritime Accidents: Future Directions,” Accident Analysis & Prevention, vol. 123, pp. 448-460, February 2019.
P. Hanafizadeh, A. Karimi, A. Taklifi, and A. Hojati, “Experimental Investigation of Two-Phase Water–Oil Flow Pressure Drop in Inclined Pipes,” Experimental Thermal and Fluid Science, vol. 74, pp. 169-180, June 2016.
T. Chaichana and G. Reeve, “Computer Simulation Approach to Model Virtual Geography of Seablite Source,” 4th International Conference on Computer Communication and the Internet (ICCCI), pp. 174-178, July 2022.
T. Chaichana, S. Wangtueai, S. Sookpotharom, D. Songtam, and Y. Chakrabandhu, “Computing Virtual Geography Possesses Seablite Local Assets,” International Journal on Engineering Applications (IREA), vol. 10, no. 4, pp. 272-278, July 2022.
Z. Sun and T. Chaichana, “An Investigation of Correlation between Left Coronary Bifurcation Angle and Hemodynamic Changes in Coronary Stenosis by Coronary Computed Tomography Angiography-Derived Computational Fluid Dynamics,” Quantitative Imaging in Medicine and Surgery, vol. 7, no. 5, pp. 537-548, October 2017.
Z. Sun and T. Chaichana, “Computational Fluid Dynamic Analysis of Calcified Coronary Plaques: Correlation between Hemodynamic Changes and Cardiac Image Analysis Based on Left Coronary Bifurcation Angle and Lumen Assessments,” Interventional Cardiology, vol. 8, no. 6, pp. 713-719, November 2016.
T. Chaichana, Z. Sun, M. Barrett-Baxendale, and A. Nagar, “Automatic Location of Blood Vessel Bifurcations in Digital Eye Fundus Images,” Proceedings of Sixth International Conference on Soft Computing for Problem Solving, vol. 2, pp. 332-342, 2016.
T. Chaichana, B. Drury, C. S. Brennan, and G. Reeve, “Machine Learning Predicts Future Growth of Seablite,” unpublished.
N. Boonnam, T. Udomchaipitak, S. Puttinaovarat, T. Chaichana, V. Boonjing, and J. Muangprathub, “Coral Reef Bleaching under Climate Change: Prediction Modeling and Machine Learning,” Sustainability, vol. 14, no. 10, article no. 6161, May 2022.
T. Chaichana, S. Yoowattana, Z. Sun, S. Tangjitkusolmun, S. Sookpotharom, and M. Sangworasil, “Edge Detection of the Optic Disc in Retinal Images Based on Identification of a Round Shape,” International Symposium on Communications and Information Technologies, pp. 670-674, October 2008.
World Maritime University (WMU), Transport 2040: Automation, Technology, Employment - The Future of Work, London: International Transport Workers’ Federation (ITF), 2019. https://commons.wmu.se/lib_reports/58
N. Befort, “Going Beyond Definitions to Understand Tensions within The Bioeconomy: The Contribution of Sociotechnical Regimes to Contested Fields,” Technological Forecasting and Social Change, vol. 153, article no. 119923, April 2020.
S. Wydra, “Measuring Innovation in the Bioeconomy – Conceptual Discussion and Empirical Experiences,” Technology in Society, vol. 61, article no. 101242, May 2020.
R. Kitney, M. Adeogun, Y. Fujishima, Á. Goñi-Moreno, R. Johnson, M. Maxon, et al., “Enabling the Advanced Bioeconomy through Public Policy Supporting Biofoundries and Engineering Biology,” Trends in Biotechnology, vol. 37, no. 9, pp. 917-920, September 2019.
X. Liu, “Exploration on Relativity of Modern Economic Science: Viewpoint Based on Sustainable Development,” China Population, Resources and Environment, vol. 17, no. 1, pp. 11-14, January 2007.
H. Mohammadi, R. Kazemi, H. Maghsoudloo, E. Mehregan, and A. Mashayekhi, “System Dynamic Approach for Analyzing Cyclic Mechanism in Land Market and Their Effect on House Market Fluctuations,” Proceedings of the 28th International Conference of the System Dynamics Society, pp. 1-7, July 2010.
M. Bolgorian and A. Mayeli, “Banks’ Characteristics, State Ownership and Vulnerability to Sanctions: Evidences from Iran,” Borsa Istanbul Review, vol. 19, no. 3, pp. 264-272, September 2019.
E. Mehregan, “Designing a Sustainable Development Model with a Dynamic System Approach (Isfahan Province),” NeuroQuantology, vol. 20, no. 6, pp. 8143-8164, June 2022.
T. Chaichana, Z. Sun, A Lucey, D. Reid, and A. Nagar, “The Increasing Role of Use of Computer-Based Methods in Disease Diagnosis,” Digital Medicine, vol. 3, no. 4, pp. 150-153, 2017.
J. D. Sterman, “System Dynamics Modeling: Tools for Learning in a Complex World,” California Management Review, vol. 43, no. 4, pp. 8-25, July 2001.
K. McFarlane, T. Chaichana, Z. Sun, J. N. Dentith, and P. Brown, “Femoral Neck Angle Impacts Hip Disorder and Surgical Intervention: A Patient-Specific 3D Printed Analysis,” Proceedings of the 2019 The 3rd International Conference on Digital Technology in Education, pp. 155-159, October 2019.
T. Chaichana, Z. Sun, and J. Jewkes, “Impact of Plaques in the Left Coronary Artery on Wall Shear Stress and Pressure Gradient in Coronary Side Branches,” Computer Methods in Biomechanics and Biomedical Engineering, vol. 17, no. 2, pp. 108-118, 2014.
T. Chaichana, Z. Sun, and J. Jewkes, “Computation of Hemodynamics in the Left Coronary Artery with Variable Angulations,” Journal of Biomechanics, vol. 44, no. 10, pp. 1869-1878, July 2011.
T. Chaichana, Z. Sun, and J. Jewkes, “Hemodynamic Impacts of Left Coronary Stenosis: A Patient-Specific Analysis,” Acta of Bioengineering and Biomechanics, vol. 15, no. 3, pp. 107-112, 2013.
T. Chaichana, Z. Sun, and J. Jewkes, “Computational Fluid Dynamics Analysis of the Effect of Plaques in the Left Coronary Artery,” Computational and Mathematical Methods in Medicine, vol. 2012, article no. 504367, 2012.
A. Mourad, J. Puchinger, and C. Chu, “A Survey of Models and Algorithms for Optimizing Shared Mobility,” Transportation Research Part B: Methodological, vol. 123, pp. 323-346, May 2019.
T. Ruiz, L. Mars, R. Arroyo, and A. Serna, “Social Networks, Big Data and Transport Planning,” Transportation Research Procedia, vol. 18, pp. 446-452, 2016.
M. Gohar, M. Muzammal, and A. Rahman, “SMART TSS: Defining Transportation System Behavior Using Big Data Analytics in Smart Cities,” Sustainable Cities and Society, vol. 41, pp. 114-119, August 2018.
Z. Allam and Z. A. Dhunny, “On Big Data, Artificial Intelligence and Smart Cities,” Cities, vol. 89, pp. 80-91, June 2019.
Z. Sun and T. Chaichana, “A Systematic Review of Computational Fluid Dynamics in Type B Aortic Dissection,” International Journal of Cardiology, vol. 210, pp. 28-31, May 2016.
D. Moher, L. Shamseer, M. Clarke, D. Ghersi, A. Liberati, M. Petticrew, et al., “Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) 2015 Statement,” Systematic Reviews, vol. 4, article no. 1, 2015. https://doi.org/10.1186/2046-4053-4-1
“Cambridge Dictionary,” https://dictionary.cambridge.org, May 19, 2022
S. Furber, “Microprocessors: The Engines of the Digital Age,” Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 473, no. 2199, article no. 20160893, March 2017.
M. Madhavan, S. Wangtueai, M. A. Sharafuddin, and T. Chaichana, “The Precipitative Effects of Pandemic on Open Innovation of SMEs: A Scientometrics and Systematic Review of Industry 4.0 and Industry 5.0,” Journal of Open Innovation: Technology, Market, and Complexity, vol. 8, no. 3, article no. 152, September 2022.
T. Chaichana, C. S. Brennan, S. Osiriphun, P. Thongchai, and S. Wangtueai, “Development of Local Food Growth Logistics and Economics,” AIMS Agriculture and Food, vol. 6, no. 2, pp. 588-602, 2021.
Y. Chakrabandhu, S. Chotinun, P. Rachtanapun, C. Jaisan, S. Phongthai, P. Klinmalai, et al., “Computing Survey Assessing Digital Business Status: Simaon’s Pradu Hang Dam Thai native Chicken Farm,” International Conference on Inventive Computation Technologies (ICICT), pp. 161-165, July 2022.
“BibExcel,” https://homepage.univie.ac.at/juan.gorraiz/bibexcel/, May 19, 2019
“CiteSpace,” http://cluster.cis.drexel.edu/~cchen/citespace/, May 19, 2022.
Y. J. An, B. J. Kim, and B. R. Shin, “Numerical Analysis of 3-D Flow Through LNG Marine Control Valves for Their Advanced Design,” Journal of Mechanical Science and Technology, vol. 22, no. 10, pp. 1998-2005, October 2008.
N. Fan, T. K. Nian, H. B. Jiao, and Y. G. Jia, “Interaction between Submarine Landslides and Suspended Pipelines with a Streamlined Contour,” Marine Georesources & Geotechnology, vol. 36, no. 6, pp. 652-662, 2018.
W. C. Ikealumba and H. Wu, “Effect of Air and Sea Surface Temperatures on Liquefied Natural Gas Dispersion,” Energy & Fuels, vol. 30, no. 11, pp. 9266-9274, November 2016.
M. Haase, K. Zurcher, G. Davidson, J. R. Binns, G. Thomas, and N. Bose, “Novel CFD-Based Full-Scale Resistance Prediction for Large Medium-Speed Catamarans,” Ocean Engineering, vol. 111, pp. 198-208, January 2016.
A. Hajivand and S. H. Mousavizadegan, “Virtual Simulation of Maneuvering Captive Tests for a Surface Vessel,” International Journal of Naval Architecture and Ocean Engineering, vol. 7, no. 5, pp. 848-872, September 2015.
S. H. Kwag, “Lift/Drag Prediction of 3-Dimensional WIG Moving Above Free Surface,” KSME International Journal, vol. 15, no. 3, pp. 384-391, March 2001.
P. Peltonen, P. Kanninen, E. Laurila, and V. Vuorinen, “The Ghost Fluid Method for OpenFOAM: A Comparative Study in Marine Context,” Ocean Engineering, vol. 216, article no. 108007, November 2020.
M. Bakhtiari and H. Ghassemi, “CFD Data Based Neural Network Functions for Predicting Hydrodynamic Performance of a Low-Pitch Marine Cycloidal Propeller,” Applied Ocean Research, vol. 94, article no. 101981, January 2020.
S. Wu and Y. Ju, “Numerical Study of the Boil-Off Gas (BOG) Generation Characteristics in a Type C Independent Liquefied Natural Gas (LNG) Tank under Sloshing Excitation,” Energy, vol. 223, article no. 120001, May 2021.
Y. Wang, H. C. Chen, A. Koop, and G. Vaz, “Verification and Validation of CFD Simulations for Semi-Submersible Floating Offshore Wind Turbine under Pitch Free-Decay Motion,” Ocean Engineering, vol. 242, article no. 109993, December 2021.
T. Välikangas, M. Folkersma, M. D. Maso, T. Keskitalo, P. Peltonen, and V. Vuorinen, “Parametric CFD Study for Finding the Optimal Tube Arrangement of a Fin-and-Tube Heat Exchanger with Plain Fins in a Marine Environment,” Applied Thermal Engineering, vol. 200, article no. 117642, January 2022.
T. Zhu, S. Ke, W. Li, J. Chen, Y. Yun, and H. Ren, “WRF-CFD/CSD Analytical Method of Hydroelastic Responses of Ultra-Large Floating Body on Maritime Airport under Typhoon-Wave-Current Coupling Effect,” Ocean Engineering, vol. 261, article no. 112022, October 2022.
A. Abbas, A. Rafiee, M. Haase, and A. Malcolm, “Geometrical Deep Learning for Performance Prediction of High-Speed Craft,” Ocean Engineering, vol. 258, article no. 111716, August 2022.
Z. Zhang, J. Lv, W. Li, J. Long, S. Wang, D. Tan, et al., “Performance and Emission Evaluation of a Marine Diesel Engine Fueled with Natural Gas Ignited by Biodiesel-Diesel Blended Fuel,” Energy, vol. 256, article no. 124662, October 2022.
M. Edmunds, R. Malki, A. J. Williams, I. Masters, and T. N. Croft, “Aspects of Tidal Stream Turbine Modelling in the Natural Environment Using a Coupled BEM–CFD Model,” International Journal of Marine Energy, vol. 7, pp. 20-42, September 2014.
B. Han, G. Zheng, J. Wei, Y. Yang, L. Lu, Q. Zhang, et al., “Computer-Aided Design of Microfluidic Resistive Network Using Circuit Partition and CFD-Based Optimization and Application in Microalgae Assessment for Marine Ecological Toxicity,” Bioprocess and Biosystems Engineering, vol. 42, no. 5, pp. 785-797, May 2019.
J. Yoon, D. Y. Kim, and D. Kim, “A Numerical Study on the Behavior of Coastal Waste Particles in a Wind-Power Sorting System for Renewable Fuel Production,” Waste Management, vol. 80, pp. 387-396, October 2018.
C. Lee, “Numerical and Experimental Investigation of Evaporation and Mixture Uniformity of Urea–Water Solution in Selective Catalytic Reduction System,” Transportation Research Part D: Transport and Environment, vol. 60, pp. 210-224, May 2018.
A. Kazakidi, D. P. Tsakiris, and J. A. Ekaterinaris, “Impact of Arm Morphology on the Hydrodynamic Behavior of a Two-Arm Robotic Marine Vehicle,” IFAC-PapersOnLine, vol. 50, no. 1, pp. 2304-2309, July 2017.
A. Antonini, A. Lamberti, R. Archetti, and A. M. Miquel, “CFD Investigations of OXYFLUX Device, an Innovative Wave Pump Technology for Artificial Downwelling of Surface Water,” Applied Ocean Research, vol. 61, pp. 16-31, December 2016.
T. Kim, J. Lee, D. W. Fredriksson, J. DeCew, A. Drach, and K. Moon, “Engineering Analysis of a Submersible Abalone Aquaculture Cage System for Deployment in Exposed Marine Environments,” Aquacultural Engineering, vol. 63, pp. 72-88, December 2014.
C. Yue, S. Guo, and L. Shi, “Hydrodynamic Analysis of the Spherical Underwater Robot SUR-II,” International Journal of Advanced Robotic Systems, vol. 10, no. 5, 2013. https://doi.org/10.5772/56524
H. K. Kang, K. D. Ro, M. Tsutahara, and Y. H. Lee, “Numerical Prediction of Acoustic Sounds Occurring by the Flow Around a Circular Cylinder,” KSME International Journal, vol. 17, no. 8, pp. 1219-1225, August 2003.
S. A. Brown, E. J. Ransley, S. Zheng, N. Xie, B. Howey, and D. M. Greaves, “Development of a Fully Nonlinear, Coupled Numerical Model for Assessment of Floating Tidal Stream Concepts,” Ocean Engineering, vol. 218, article no. 108253, December 2020.
W. Y. Wang, Y. S. Tseng, and T. K. Yeh, “Evaluation of Crack Growth of Chloride-Induced Stress Corrosion Cracking in Dry Storage System under Different Environmental Conditions,” Progress in Nuclear Energy, vol. 130, article no. 103534, December 2020.
Y. Sun, X. Cao, F. Liang, and J. Bian, “Investigation on Underwater Gas Leakage and Dispersion Behaviors Based on Coupled Eulerian-Lagrangian CFD Model,” Process Safety and Environmental Protection, vol. 136, pp. 268-279, April 2020.
D. Kim, S. Song, and T. Tezdogan, “Free Running CFD Simulations to Investigate Ship Manoeuvrability in Waves,” Ocean Engineering, vol. 236, article no. 109567, September 2021.
M. Raznahan, S. S. Li, Z. Wang, M. Boufadel, X. Geng, and C. An, “Numerical Simulation of Multiphase Oil Behaviors in Ice-Covered Nearshore Water,” Journal of Contaminant Hydrology, vol. 251, article no. 104069, December 2022.
K. Ankang, L. Fuliang, G. Jiandou, D. Bin, C. Haofeng, and C. A. O. Dan, “Numerical Simulation and Experimental Study on Marine Cabin's Ventilation for Reefer Containers,” International Journal of Refrigeration, vol. 133, pp. 226-234, January 2022.
J. H. Wang, W. W. Zhao, and D. C. Wan, “Development of Naoe-FOAM-SJTU Solver Based on OpenFOAM for Marine Hydrodynamics,” Journal of Hydrodynamics, vol. 31, no. 1, pp. 1-20, February 2019.
M. M. Helal, T. M. Ahmed, A. A. Banawan, and M. A. Kotb, “Numerical Prediction of Sheet Cavitation on Marine Propellers Using CFD Simulation with Transition-Sensitive Turbulence Model,” Alexandria Engineering Journal, vol. 57, no. 4, pp. 3805-3815, December 2018.
C. Liao, D. Tong, D. S. Jeng, and H. Zhao, “Numerical Study for Wave-Induced Oscillatory Pore Pressures and Liquefaction Around Impermeable Slope Breakwater Heads,” Ocean Engineering, vol. 157, pp. 364-375, June 2018.
N. M. Nouri, S. Mohammadi, and M. Zarezadeh, “Optimization of a Marine Contra-Rotating Propellers Set,” Ocean Engineering, vol. 167, pp. 397-404, November 2018.
F. Yang, W. Shi, X. Zhou, B. Guo, and D. Wang, “Numerical Investigation of a Wave Glider in Head Seas,” Ocean Engineering, vol. 164, pp. 127-138, September 2018.
N. P. B. Mannam, P. Krishnankutty, H. Vijayakumaran, and R. C. Sunny, “Experimental and Numerical Study of Penguin Mode Flapping Foil Propulsion System for Ships,” Journal of Bionic Engineering, vol. 14, no. 4, pp. 770-780, December 2017.
C. Kamble and H. C. Chen, “CFD Prediction of Vortex Induced Vibrations and Fatigue Assessment for Deepwater Marine Risers,” Ocean Systems Engineering, vol. 6, no. 4, pp. 325-344, December 2016.
M. P. Kishore, “Numerical Investigation for CFD Simulation of Open Water Characteristics and Cavitation Inception of Marine Propeller Blade,” Journal of Maritime Research, vol. 13, no. 1, pp. 73-78, January 2016.
X. Wu, Y. Wang, C. Huang, Z. Hu, and R. Yi, “An Effective CFD Approach for Marine-Vehicle Maneuvering Simulation Based on the Hybrid Reference Frames Method,” Ocean Engineering, vol. 109, pp. 83-92, November 2015.
M. I. Lamas Galdo, C. G. Rodríguez Vidal, and J. D. Rodríguez García, “Optimization of the Efficiency of a Biomimetic Marine Propulsor Using CFD,” Ingeniería e Investigación, vol. 34, no. 1, pp. 17-21, April 2014.
H. N. Das, P. Veerabhadra, C. Suryanarayana, and S. Kapuria, “Effect of Structural Deformation on Performance of Marine Propeller,” Journal of Maritime Research, vol. 10, no. 3, pp. 47-50, December 2013.
X. D. He, Y. Hong, and R. G. Wang, “Hydroelastic Optimisation of a Composite Marine Propeller in a Non-Uniform Wake,” Ocean Engineering, vol. 39, pp. 14-23, January 2012.
Y. S. Wei, Y. S. Wang, S. P. Chang, and J. Fu, “Numerical Prediction of Propeller Excited Acoustic Response of Submarine Structure Based on CFD, FEM and BEM,” Journal of Hydrodynamics, Ser. B, vol. 24, no. 2, pp. 207-216, April 2012.
A. Olivieri, F. Pistani, and A. D. Mascio, “Breaking Wave at the Bow of a Fast Displacement Ship Model,” Journal of Marine Science and Technology, vol. 8, no. 2, pp. 68-75, October 2003.
J. Wang, B. Gower, and N. Müller, “A Case Study of a Novel Ducted Composite Material Marine Current Turbine,” Open Engineering, vol. 3, no. 1, pp. 80-86, March 2013.
W. J. Kim, S. H. Van, and D. H. Kim, “Measurement of Flows Around Modern Commercial Ship Models,” Experiments in Fluids, vol. 31, no. 5, pp. 567-578, November 2001.
Y. Sato, H. Miyata, and T. Sato, “CFD Simulation of 3-Dimensional Motion of a Ship in Waves: Application to an Advancing Ship in Regular Heading Waves,” Journal of Marine Science and Technology, vol. 4, no. 3, pp. 108-116, December 1999.
S. Shiotani and Y. Kodama, “Numerical Analysis on Free Surface Waves and Stern Viscous Flow of a Ship Model,” Journal of Marine Science and Technology, vol. 3, no. 3, pp. 130-144, September 1998.
H. Miyata, H. Akimoto, and F. Hiroshima, “CFD Performance Prediction Simulation for Hull-Form Design of Sailing Boats,” Journal of Marine Science and Technology, vol. 2, no. 4, pp. 257-267, December 1997.
Y. J. Cho, W. Seok, K. H. Cheon, and S. H. Rhee, “Maneuvering Simulation of an X-Plane Submarine Using Computational Fluid Dynamics,” International Journal of Naval Architecture and Ocean Engineering, vol. 12, pp. 843-855, 2020.
R. Ponzini, F. Salvadore, E. Begovic, and C. Bertorello, “Automatic CFD Analysis of Planing Hulls by Means of a New Web-Based Application: Usage, Experimental Data Comparison and Opportunities,” Ocean Engineering, vol. 210, article no. 107387, August 2020.
Y. Jin, L. J. Yiew, Y. Zheng, A. R. Magee, J. Duffy, and S. Chai, “Dynamic Manoeuvres of KCS with CFD Free-Running Computation and System-Based Modelling,” Ocean Engineering, vol. 241, article no. 110043, December 2021.
H. J. Shaw and C. K. Lin, “Marine Big Data Analysis of Ships for the Energy Efficiency Changes of the Hull and Maintenance Evaluation Based on the ISO 19030 Standard,” Ocean Engineering, vol. 232, article no. 108953, July 2021.
H. Xia, S. Zhang, R. Jia, H. Qiu, and S. Xu, “Blade Shape Optimization of Savonius Wind Turbine Using Radial Based Function Model and Marine Predator Algorithm,” Energy Reports, vol. 8, pp. 12366-12378, November 2022.
S. Lovato, A. Kirichek, S. L. Toxopeus, J. W. Settels, and G. H. Keetels, “Validation of the Resistance of a Plate Moving through Mud: CFD Modelling and Towing Tank Experiments,” Ocean Engineering, vol. 258, article no. 111632, August 2022.
S. Shiotani and Y. Kodama, “Numerical Simulation of Viscous Flows with Free-Surface Around a Ship Model,” Computational Mechanics ’95, pp. 838-843, 1995. https://doi.org/10.1007/978-3-642-79654-8_136
T. Chaichana, “Analysis of Computing Progress in Maritime Studies,” Proceedings of the 2019 The 3rd International Conference on Digital Technology in Education, pp. 150-154, October 2019.
C. Cook, H. Zhao, T. Sato, M. Hiromoto, and S. X. D. Tan, “GPU-Based Ising Computing for Solving Max-Cut Combinatorial Optimization Problems,” Integration, vol. 69, pp. 335-344, November 2019.
K. L. Nash, J. L. Blythe, C. Cvitanovic, E. A. Fulton, B. S. Halpern, E. J. Milner-Gulland, et al., “To Achieve a Sustainable Blue Future, Progress Assessments Must Include Interdependencies between the Sustainable Development Goals,” One Earth, vol. 2, no. 2, pp. 161-173, February 2020.
P. Centobelli, R. Cerchione, and E. Esposito, “Pursuing Supply Chain Sustainable Development Goals Through the Adoption of Green Practices and Enabling Technologies: A Cross-Country Analysis of LSPs,” Technological Forecasting and Social Change, vol. 153, article no. 119920, April 2020.
S. Lan, C. Yang, and G. Q. Huang, “Data Analysis for Metropolitan Economic and Logistics Development,” Advanced Engineering Informatics, vol. 32, pp. 66-76, April 2017.
H. H. Lean, W. Huang, and J. Hong, “Logistics and Economic Development: Experience from China,” Transport Policy, vol. 32, pp. 96-104, March 2014.
V. W. B. Martins, I. S. Rampasso, R. Anholon, O. L. G. Quelhas, and W. L. Filho, “Knowledge Management in the Context of Sustainability: Literature Review and Opportunities for Future Research,” Journal of Cleaner Production, vol. 229, pp. 489-500, August 2019.
J. Webb, “The Future of Transport: Literature Review and Overview,” Economic Analysis and Policy, vol. 61, pp. 1-6, March 2019.
J. L. Aleixandre-Tudó, L. Castelló-Cogollos, J. L. Aleixandre, and R. Aleixandre-Benavent, “Renewable Energies: Worldwide Trends in Research, Funding and International Collaboration,” Renewable Energy, vol. 139, pp. 268-278, August 2019.
K. Gregor, I. Danihelka, A. Graves, D. J. Rezende, and D. Wierstra, “Draw: A Recurrent Neural Network for Image Generation,” Proceedings of the 32nd International Conference on Machine Learning, vol. 37, pp. 1462-1471, July 2015.
K. Laxman, “A Conceptual Framework Mapping the Application of Information Search Strategies to Well and Ill-Structured Problem Solving,” Computers & Education, vol. 55, no. 2, pp. 513-526, September 2010.
H. G. Weller, G. Tabor, H. Jasak, and C. Fureby, “A Tensorial Approach to Computational Continuum Mechanics Using Object-Oriented Techniques,” Computers in Physics, vol. 12, no. 6, pp. 620-631, November 1998.
J. E. van Aken and H. Berends, Problem Solving in Organizations: A Methodological Handbook for Business and Management Students, 3rd ed., Cambridge: Cambridge University Press, 2018.
M. E. Porter, Competitive Strategy: Techniques for Analyzing Industries and Competitors, New York: Free Press, 1980.
F. D. Vivien, M. Nieddu, N. Befort, R. Debref, and M. Giampietro, “The Hijacking of the Bioeconomy,” Ecological Economics, vol. 159, pp. 189-197, May 2019.
T. Düppe, “Border Cases Between Autonomy and Relevance: Economic Sciences in Berlin—A Natural Experiment,” Studies in History and Philosophy of Science Part A, vol. 51, pp. 22-32, June 2015.
Copyright (c) 2023 Thanapong Chaichana
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Submission of a manuscript implies: that the work described has not been published before that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication. Authors can retain copyright in their articles with no restrictions. is accepted for publication. Authors can retain copyright of their article with no restrictions.
Since Jan. 01, 2019, AITI will publish new articles with Creative Commons Attribution Non-Commercial License, under The Creative Commons Attribution Non-Commercial 4.0 International (CC BY-NC 4.0) License.
The Creative Commons Attribution Non-Commercial (CC-BY-NC) License permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.