Research Hotspots and Evolution Trends of Port Emission Reduction: A Bibliometric Analysis Based on CiteSpace
Abstract
1. Introduction
2. Research Methods and Literature Statistical Analysis
2.1. Research Method
2.2. Literature Retrieval
2.3. Publication Analysis
3. Dynamic and Hotspot Analysis of Port Emission Reduction Research
3.1. Keyword Co-Occurrence Analysis
3.2. Keyword Cluster Analysis
- (1)
- Emission control areas and air quality improvement (#0 #1 #5 #12 #13). This theme focuses on effectively reducing port emissions within emission control areas to improve air quality and protect human health (#17) [1]. With the increasing global concern over air quality issues, the establishment of emission control areas has become a key measure to reduce port emissions and decrease PM2.5 concentrations (#1) and ozone pollution (#5) [2,3]. Research concentrates on implementing stringent emission control policies, such as restricting the use of high-sulfur fuels and promoting low-sulfur fuels [4] and green port technologies (#10), to reduce ship emissions (#12) and overall carbon emissions (#6) [5]. Simultaneously, the positive impacts of emission reduction strategies (#13) on enhancing environmental efficiency (#8) and human health and well-being are explored, providing a scientific basis for policy formulation.
- (2)
- Transport efficiency and combustion optimization (#2 #3 #7 #16). This theme revolves around improving maritime transport efficiency (#2) and combustion efficiency (#3) to reduce port emissions and fuel consumption. The application of compression ignition engines (#7) [6] and dual-fuel combustion technologies (#16) [7] has emerged as a crucial pathway to enhance combustion efficiency and reduce the carbon footprint. Research focuses on optimizing ship engine designs to improve combustion efficiency and reduce the generation of greenhouse gases and harmful emissions. Additionally, optimizing port logistics through technologies such as virtual arrival (#4) reduces ship waiting times and fuel consumption, achieving fuel savings (#18) [8]. These measures not only contribute to enhancing environmental efficiency (#8) but also enhance port competitiveness.
- (3)
- Green port technologies and sustainable development (#9 #10 #11 #14 #15). This theme emphasizes the adoption of green port technologies and innovative strategies to promote sustainable port development. The construction of green ports (#10) involves multiple aspects, including the promotion of clean energy sources such as hydrogenated vegetable oil (HVO, #11) [9] and shore power (#14) as well as optimizing port layouts and operational processes to reduce emissions. Research focuses on the development and application of efficient and environmentally friendly port equipment and technologies, such as the utilization of renewable energy sources like wind energy (#15), to reduce carbon emissions (#6) and environmental pollution. Furthermore, exploring the significance of green port technologies in enhancing the overall environmental performance of ports and promoting coordinated economic and environmental development of ports is crucial. By implementing these green technologies and strategies, ports can not only reduce emissions but also improve operational efficiency and sustainability, contributing to the global effort to address climate change challenges.
- (1)
- Green port construction and carbon emission management (#0 #1 #2). This theme focuses on how to construct green ports and effectively manage carbon emissions for sustainable development. Green port construction is a key initiative in the port industry to address climate change challenges, aiming to reduce carbon emissions during port operations through optimized operational methods and the adoption of clean energy sources (#1). To achieve this goal, a scientific and comprehensive carbon emission indicator system (#2) needs to be established to accurately measure and monitor port carbon emissions. Meanwhile, green port construction must comprehensively consider the economic, environmental, and social aspects of ports to ensure that carbon emissions are reduced without compromising normal port operations and sustainable development (#3).
- (2)
- Port emission reduction strategies and game theory applications (#3 #4 #9). This theme focuses on the formulation and implementation of port emission reduction strategies and the application of game theory in this context. As important nodes in waterway transportation (#5) and shipping logistics (#6), China considers environmental protection issues while promoting the economic development of port cities and their surrounding areas, enhancing the environmental adaptability of the port industry [10]. Therefore, theoretical tools such as game theory (#4) and evolutionary game theory (#9) are utilized to analyze the impacts of different emission reduction strategies on ports and their stakeholders, seeking optimal emission reduction solutions. The application of game theory provides a better understanding of cooperation and competition in the process of port emission reduction, providing a basis for formulating scientific and reasonable emission reduction policies.
- (3)
- China’s port emission reduction countermeasures and practices (#10 #12). This theme emphasizes proposing effective emission reduction countermeasures tailored to the specific conditions of Chinese ports and implementing them in practice. As a globally significant shipping country, China’s port emission reduction efforts are of great significance to global climate governance. Research priorities include compiling detailed port emission inventories (#10) [11] to accurately grasp port emission status and exploring port emission reduction countermeasures suitable for China’s national conditions (#12), such as promoting the use of clean energy and optimizing port layouts and operational methods. Through practical exploration, the technical system and management mechanism for port emission reduction are continuously improved, providing valuable experience for port emission reduction efforts in China and globally.
4. Evolution Path of Research on Port Emission Reduction
4.1. Analysis of Burst Terms in the Literature
4.2. Analysis of the Timeline Map of Keywords
- Phase One: Initial Exploration Period (2008–2015)
- Phase Two: Rapid Development Period (2016–2020)
- Phase Three: Application Maturity Period (2021–2024)
- First Phase: Initial Exploration Period (2008–2012)
- Second Phase: Rapid Development Period (2013–2019)
- Third Phase: Mature Application Period (2020–2024)
5. Research Areas and Future Prospects
5.1. Key Research Areas
- (1)
- Quantification and Assessment of Port Carbon Emissions
- (2)
- Technologies and Strategies for Port Emission Reduction
- (3)
- Research on the Synergistic Benefits of Port Emission Reduction and Regional Economic Development
5.2. Research Outlook
- (1)
- Deepening the quantification and assessment of port carbon emissions. With continuous advancements in carbon emission monitoring technology and the increasing availability of relevant data, future research should delve deeper into the quantification and assessment of port carbon emissions to gain a more accurate understanding of the actual situation and trends in port emissions.
- (2)
- Expanding the innovation and application of port emission reduction technologies and strategies. Future efforts should continue to explore and promote new emission reduction technologies and strategies, such as the widespread adoption of clean energy and the electrification trend of port equipment, to further reduce carbon emissions from port operations. Meanwhile, emphasis should also be placed on the economic and feasibility analysis of these technologies, providing more comprehensive technical support for port emission reduction.
- (3)
- Strengthening synergistic research between port emission reduction and regional economic development. Future research should pay greater attention to studying the synergistic effects between port emission reduction and regional economic development, exploring comprehensive strategies to integrate port emission reduction into regional economic development planning. By optimizing regional industrial structures, strengthening hinterland economies, improving ecological environments, and taking other measures, we can promote positive interactions and sustainable development between port emission reduction and regional economic development.
- (4)
- Research on new approaches to reduce port emissions. The digital transformation of ports, through the integration of advanced technologies such as blockchain and the Internet of Things, can optimize the logistics chain, increase transparency, and reduce the idle time of goods. For example, blockchain-based smart contracts can dynamically allocate berths and cargo routes, potentially reducing the repositioning of empty containers and emissions; cross-regional carbon trading mechanisms and pilot projects carried out in port clusters such as the Guangdong–Hong Kong–Macao Greater Bay Area can establish a carbon quota trading platform. This mechanism can generate economic benefits annually, while market-driven policy incentives promote emission reduction.
6. Conclusions
- (1)
- Deepening regional difference research. Future studies should strengthen comparative research on emission reduction technologies, policies, and management measures among ports in different regions. By exploring region-specific pathways and strategies, researchers can provide tailored solutions that account for varying economic, environmental, and infrastructural contexts. This will enhance the applicability and generalization of research findings.
- (2)
- Enhancing the cost–benefit analysis of emission reduction. A systematic quantitative analysis of the costs and benefits of port emission reduction is essential. Future research should conduct economic evaluations to provide policymakers and port managers with a clear understanding of the financial implications of emission reduction initiatives. This will enable more informed decision making and ensure the economic feasibility of the proposed measures.
- (3)
- Exploring the synergistic effect between port emission reduction and regional economic development. Research should integrate port emission reduction into regional economic development planning. By studying the interactive relationship between emission reduction and regional economic growth, scholars can propose comprehensive strategies that promote both environmental sustainability and economic prosperity. This approach will help optimize regional industrial structures, strengthen hinterland economies, and improve ecological environments.
- (1)
- Policy tools such as carbon taxes and implementing a carbon tax on port operations: this measure will encourage ports to adopt cleaner technologies and reduce emissions by internalizing the environmental costs of carbon emissions such as green credit, providing interest rate discounts to port enterprises investing in coastal power generation systems and renewable energy facilities; this financial mechanism will accelerate the transition to low-carbon infrastructure by alleviating the financial burden on port operators.
- (2)
- Implementation entities: The Ministry of Transport develops emission reduction policies, coordinates inter-departmental cooperation, and monitors national progress. The ministry should also provide technical and financial support to ensure the successful implementation of these policies; port authorities implement policies at the regional level, implement emission reduction targets, and provide technical guidance for port enterprises, and port authorities should also establish monitoring systems to track progress and ensure compliance with national standards.
- (3)
- Timeline: 50% coverage by 2025 will significantly reduce emissions from berthing ships and improve air quality in port cities; 100% coverage at all major ports by 2030 is in line with China’s national goal of peak carbon emissions by 2030 and becoming carbon neutral by 2060.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
- Tichavska, M.; Tovar, B. Environmental cost and eco-efficiency from vessel emissions in Las Palmas Port. Transp. Res. Part E Logist. Transp. Rev. 2015, 83, 126–140. [Google Scholar] [CrossRef]
- Misra, A.; Panchabikesan, K.; Gowrishankar, S.K.; Ayyasamy, E.; Ramalingam, V. GHG emission accounting and mitigation strategies to reduce the carbon footprint in conventional port activities—A case of the Port of Chennai. Carbon Manag. 2016, 8, 45–56. [Google Scholar] [CrossRef]
- Martinez-Moya, J.; Vazquez-Paja, B.; Gimenez Maldonado, J.A. Energy efficiency and CO2 emissions of port container terminal equipment: Evidence from the Port of Valencia. Energy Policy 2019, 131, 312–319. [Google Scholar] [CrossRef]
- Krantz, G.; Moretti, C.; Brandão, M.; Hedenqvist, M.; Nilsson, F. Assessing the Environmental Impact of Eight Alternative Fuels in International Shipping: A Comparison of Marginal vs. Average Emissions. Environments 2023, 10, 155. [Google Scholar] [CrossRef]
- Sdoukopoulos, E.; Boile, M.; Tromaras, A.; Anastasiadis, N. Energy Efficiency in European Ports: State-Of-Practice and Insights on the Way Forward. Sustainability 2019, 11, 4952. [Google Scholar] [CrossRef]
- Tadros, M.; Ventura, M.; Soares, C.G. Review of current regulations, available technologies, and future trends in the green shipping industry. Ocean Eng. 2023, 280, 114670. [Google Scholar] [CrossRef]
- Altinkurt, M.D.; Merts, M.; Tunér, M.; Turkcan, A. Effects of split diesel injection strategies on combustion, knocking, cyclic variations and emissions of a natural gas-diesel dual fuel medium speed engine. Fuel 2023, 347, 128517. [Google Scholar] [CrossRef]
- Jia, H.; Adland, R.; Prakash, V.; Smith, T. Energy efficiency with the application of Virtual Arrival policy. Transp. Res. Part D Transp. Environ. 2017, 54, 50–60. [Google Scholar] [CrossRef]
- Carvalho, F.; Portugal-Pereira, J.; Junginger, M.; Szklo, A. Biofuels for maritime transportation: A spatial, techno-economic, and logistic analysis in brazil, europe, south africa, and the usa. Energies 2021, 14, 4980. [Google Scholar] [CrossRef]
- Shao, Y.B.; Shao, Y.B. Evaluation of Carbon Emission Efficiency of Major Ports along “the Belt and Road” in China. Econ. Probl. 2023, 5, 22–30. [Google Scholar]
- Liu, H.; Shang, Y.; Jin, X.X.; Fu, X.L. Review of methods and progress on ship emission inventory studies. Acta Sci. Circumstantiae 2018, 38, 1–12. [Google Scholar]
- Villalba, G.; Gemechu, E.D. Estimating GHG emissions of marine ports-the case of Barcelona. Energy Policy 2011, 39, 1363–1368. [Google Scholar] [CrossRef]
- Song, S. Ship emissions inventory, social cost and eco-efficiency in Shanghai Yangshan port. Atmos. Environ. 2014, 82, 288–297. [Google Scholar] [CrossRef]
- Boretti, A.A. Novel heavy duty engine concept for operation dual fuel H2–NH3. Int. J. Hydrogen Energy 2012, 37, 7869–7876. [Google Scholar] [CrossRef]
- Tseng, P.H.; Pilcher, N. A study of the potential of shore power for the port of Kaohsiung, Taiwan: To introduce or not to introduce? Res. Transp. Bus. Manag. 2015, 17, 83–91. [Google Scholar] [CrossRef]
- Sulligoi, G.; Bosich, D.; Pelaschiar, R.; Lipardi, G.; Tosato, F. Shore-to-ship power. Proc. IEEE 2015, 103, 2381–2400. [Google Scholar] [CrossRef]
- Peterson, K.L.; Chavdarian, P.; Islam, M.; Cayanan, C. Tackling ship pollution from the shore. IEEE Ind. Appl. Mag. 2008, 15, 56–60. [Google Scholar] [CrossRef]
- Alamoush, A.S.; Ballini, F.; Ölçer, A.I. Ports’ technical and operational measures to reduce greenhouse gas emission and improve energy efficiency: A review. Mar. Pollut. Bull. 2020, 160, 111508. [Google Scholar] [CrossRef]
- Kotrikla, A.M.; Lilas, T.; Nikitakos, N. Abatement of air pollution at an aegean island port utilizing shore side electricity and renewable energy. Mar. Policy 2017, 75, 238–248. [Google Scholar] [CrossRef]
- Yarova, N.; Vorkunova, O.; Khoteyeva, N. Economic assessment of the alternative energy sources implementation for port enterprises. Econ. Ann. XXI 2017, 166, 46–50. [Google Scholar] [CrossRef]
- El-Amary, N.H.; Balbaa, A.; Swief, R.A.; Abdel-Salam, T.S. A reconfigured whale optimization technique (RWOT) for renewable electrical energy optimal scheduling impact on sustainable development applied to Damietta seaport, Egypt. Energies 2018, 11, 535. [Google Scholar] [CrossRef]
- Balbaa, A.; Swief, R.A.; El-Amary, N.H. Smart Integration Based on Hybrid Particle Swarm Optimization Technique for Carbon Dioxide Emission Reduction in Eco-Ports. Sustainability 2019, 11, 2218. [Google Scholar] [CrossRef]
- Li, X.; Peng, Y.; Wang, W.; Huang, J.; Liu, H.; Song, X.; Bing, X. A method for optimizing installation capacity and operation strategy of a hybrid renewable energy system with offshore wind energy for a green container terminal. Ocean Eng. 2019, 186, 106125. [Google Scholar] [CrossRef]
- Jonathan YC, E.; Kader, S.B.A. Prospect of emission reduction standard for sustainable port equipment electrification. Int. J. Eng. 2019, 31, 1347–1355. [Google Scholar]
- Musolino, G.; Rindone, C.; Vitetta, A. Passengers and freight mobility with electric vehicles: A methodology to plan green transport and logistic services near port areas—ScienceDirect. Transp. Res. Procedia 2019, 37, 393–400. [Google Scholar] [CrossRef]
- Correcher, J.F.; Van den Bossche, T.; Alvarez-Valdes, R.; Berghe, G.V. The berth allocation problem in terminals with irregular layouts. Eur. J. Oper. Res. 2019, 272, 1096–1108. [Google Scholar] [CrossRef]
- Cai, L.; Li, W.; Li, H.; Zhou, B.; He, L.; Guo, W.; Yang, Z. Incorporation of energy-consumption optimization into multi-objective and robust port multi-equipment integrated scheduling. Transp. Res. Part C Emerg. Technol. 2024, 166, 104755. [Google Scholar] [CrossRef]
- Kao, S.L.; Chung, W.H.; Chen, C.W. AIS-based scenario simulation for the control and improvement of ship emissions in ports. J. Mar. Sci. Eng. 2022, 10, 129. [Google Scholar] [CrossRef]
- Wu, P.H. Study on construction of green port. Mar. Environ. Sci. 2009, 28, 338–340+344. [Google Scholar]
- Li, W. Implications of the Fourth-generation Ports on Chinese Port Development. Reform. Strategy 2011, 27, 151–154. [Google Scholar]
- Zhang, Y. Comment on Port and Shipping Center Construction based on Green and Ecological Principle. J. Ind. Technol. Econ. 2012, 31, 154–160. [Google Scholar]
- Liu, C.L.; Liu, J.M.; Li, J.; Ma, R. Evaluation of port energy saving based on AHP-Fuzzy comprehensive method. Port Waterw. Eng. 2012, 4, 80–83+97. [Google Scholar]
- Chen, M.H.; Feng, X.J.; Wang, W. Evaluation of port energy conservation and emission reduction based on multi-attribute comprehensive evaluation. Port Waterw. Eng. 2012, 4, 75–79. [Google Scholar]
- Liu, H.B.; Wang, F.; Zhang, Z.P. Application of “electricity instead of oil” technology to RTGs for port energy conservation and pollution reduction. Port Waterw. Eng. 2011, 9, 123–125. [Google Scholar]
- Wang, S.R.; Wang, Y.Y. The current situation and countermeasures of green ecological port construction in our country. World Shipp. 2013, 36, 9–12+25. [Google Scholar]
- Ouyang, B.; Wang, L.; Huang, J.; Gao, A. Research and application of green and low-carbon port evaluation index system. Port Waterw. Eng. 2015, 4, 73–80. [Google Scholar]
- Xu, Y.; Meng, Y.P. Evolution game between government and port enterprises under mandatory emission reduction. JUSTC 2019, 49, 762–772. [Google Scholar]
- Jin, Y.; Huang, T.; Huang, X.X. Research on Port’s Energy Saving and Consumption Reduction. Sci. Technol. Ports 2015, 3, 34–38. [Google Scholar]
- Jiang, L. Transformation and efficiency of “changing of power supply from fuel to electricity” in RTG for container yards. Port Waterw. Eng. 2014, 4, 103–105. [Google Scholar]
- Tan, J.; Han, J.; Gui, S.R.; Li, H.; Zhao, H. Development and application of shore power supply system. J. Shanghai Marit. Univ. 2017, 38, 90–95. [Google Scholar]
- Wang, S.; Liu, Z.H. Study on the efficiency evaluation of energy conservation and emission reduction of ports around Bohai Sea-Analysis based on ccr-sbm and Malmquist index model. Price Theory Pract. 2022, 4, 98–101+206. [Google Scholar]
- Liu, J.-g.; Kong, Y.-d.; Zhen, L. Research on Sustainable Investment of Maritime Supply Chain Considering Double Equilibrium. Chin. J. Manag. Sci. 2022, 30, 142–153. [Google Scholar]
- Guo, W.W.; Ji, M.J.; Zhu, H.L. Container Terminal Berth and Yard Coordination Allocation Model and Algorithm. Syst. Eng. 2020, 38, 64–72. [Google Scholar]
- Fan, L.X.; Wang, X.Y.; Yi, J.B. Joint Scheduling of Berth-Quay Crane Based on Fair Principle. Ind. Eng. Manag. 2017, 22, 60–68. [Google Scholar]
- Sorte, S.; Rodrigues, V.; Lourenço, R.; Borrego, C.; Monteiro, A. Emission inven-tory for harbour-related activities:comparison of two distinctbottom-up methodologies. Air Qual. Atmos. Health 2021, 14, 831–842. [Google Scholar] [CrossRef]
- Oksas, O. Carbon emission strategies for container handlingequipment using the activity-based method: A case study of Ambarl container port in Turkiye. Mar. Policy 2023, 149, 105480. [Google Scholar] [CrossRef]
- Wang, C.; Yang, M.; Lv, M.J.; Wang, C.L. Estimation of Carbon Emissions and Low-carbon Development for Ningbo Port. Ningbo Univ. Technol. 2015, 27, 69–74. [Google Scholar]
- Cui, X.B.; Zhong, M.; Li, L.F.; Ma, X. Assessment of Disaggregate Carbon Emissions and Methods for Achieving Carbon Neutrality in Container Ports Based. Transp. Inf. Saf. 2024, 5, 1–12. [Google Scholar]
- Guo, X.; Liu, L. Research on construction technology of energy consumption online monitoring system for port energy equipment. Waterw. Harb. 2018, 39, 746–752. [Google Scholar]
- Zhong, X.; Chen, Q.; Wang, X.; Tang, D.; Zhang, Q.; Dong, M. Energy consumption management system design of intelligent ports and visualization. Port Waterw. Eng. 2023, 6, 185–191+230. [Google Scholar]
- Jiang, Y.P.; Yuan, C.Q.; Yuan, Y.P.; Dong, M.; Jiang, T.; Zhong, X.; Tong, L. Pathway for Integrated Development of Port and Clean Energy Under Strategy of Carbon Peaking and Carbon. Transp. Inf. Saf. 2023, 41, 139–146. [Google Scholar]
- Song, T.; Li, Y.; Zhang, X.P.; Wu, C.; Li, J.; Guo, Y.; Gu, H. Integrated port energy system considering integrated demand response and energy interconnection. Electr. Power Energy Syst. 2020, 117, 105654. [Google Scholar] [CrossRef]
- Song, J. Research on Distributed Energy Management Methods for Port Microgrid under the Low Carbon. Master’s thesis, Dalian Maritime University, Dalian, China, 2023. [Google Scholar]
- Fang, S.; Zhao, C.; Ding, Z.; Zhang, S.; Liao, R. Port Integrated Energy Systems Toward Carbon Neutrality(Part Ⅰ): Typical Topology and Key Problems. Proc. CSEE 2023, 43, 114–135. [Google Scholar]
- Han, H.; Qi, D.; Feng, B. Construction of Port Logistics Service Platform Based on Cloud Computing and Internet of Things. Comput. Sci. 2013, 40, 232–235+261. [Google Scholar]
- Ji, M.-J.; Chu, Y.-L. Optimization for Hub-and-Spoke Port Logistics Network of Dynamic Hinterland. Phys. Procedia 2012, 33, 827–832. [Google Scholar]
- Peng, C.Y. Development and perfection of ship discharge control area policy in China. Shipp. Manag. 2020, 42, 1–6. [Google Scholar]
- Liu, X.L.; Yang, X.H. Study on the Impact of Emission Control Areas on Shipping Enterprises in the Qiongzhou Strait. Pearl River Water Transp. 2022, 9, 49–51. [Google Scholar]
- Yu, G.; Wu, J. Empirical Study on Port Logistics and Regional Industrial Structure Optimization: In the Case of Zhuhai. Logist. Technol. 2017, 36, 114–116+149. [Google Scholar]
- Luo, Y.-H. Port Logistics and Optimization of Regional Industrial Structure: An empirical study on Zhanjiang. J. Beijing Jiaotong Univ. (Soc. Sci. Ed.) 2016, 15, 97–102. [Google Scholar]
- Cao, B.; Fan, X. Research on coordinated development of port logistics and Hinterland economy: A case study of Taicang Port. Geogr. Geo-Inf. Sci. 2019, 35, 126–132. [Google Scholar]
Database | Initial Retrieval (Step 1) | Expand the Search Range (Step 2) | Simplify the Types of Articles (Step 3) | Remove Duplicates (Step 4) | Final Selection |
---|---|---|---|---|---|
WoS | 1500 | 1830 | 1315 | 1200 | 1012 |
CNKI | 200 | 266 | 184 | 180 | 137 |
2008 to 2024 WOS | 2008 to 2024 CNKI | ||||
---|---|---|---|---|---|
Keywords | Frequency | Betweenness Centrality | Keywords | Frequency | Betweenness Centrality |
performance | 147 | 0.07 | green port | 30 | 0.61 |
emissions | 146 | 0.13 | port | 18 | 0.33 |
reduction | 104 | 0.27 | energy conservation and emission reduction | 14 | 0.32 |
impact | 84 | 0.22 | waterway transportation | 9 | 0.38 |
port | 78 | 0.01 | evolutionary game | 7 | 0.05 |
combustion | 68 | 0.22 | indicator system | 5 | 0.13 |
air pollution | 67 | 0.19 | carbon emissions | 5 | 0.09 |
model | 65 | 0 | low-carbon economy | 4 | 0.09 |
ship emissions | 59 | 0.06 | green and low carbon | 4 | 0.08 |
diesel engine | 58 | 0.16 | carbon tax | 4 | 0.06 |
management | 57 | 0.16 | shore power | 4 | 0.01 |
efficiency | 57 | 0.13 | port enterprises | 3 | 0.13 |
ships | 52 | 0 | game theory | 3 | 0.11 |
strategy | 45 | 0.01 | environmental protection | 3 | 0.06 |
blends | 43 | 0.16 | carbon emission reduction | 3 | 0.05 |
Phase | Time | Research Focus | Representative Technology/Policies |
---|---|---|---|
Initial Exploration Period | 2008–2015 | Emission quantification and shore power technology | IMO energy efficiency standards, U.S. shore power regulations |
Rapid Development Period | 2016–2020 | Renewable energy applications | Solar power generation, RTG electrification |
Application Maturity Period | 2021–2024 | Carbon monitoring and cross-regional collaboration | Blockchain carbon tracing, Guangdong–Hong Kong–Macao carbon trading |
Phase | Time | Research Focus | Representative Technology/Policies |
---|---|---|---|
Initial Exploration Period | 2008–2012 | Introduction of philosophy and establishment of indicator system | RTG “oil to electric” technology, port energy conservation, and emission reduction evaluation index system |
Rapid Development Period | 2013–2019 | Technical optimization and emerging technologies | Hybrid RTG, shore power system for ships, green and low-carbon port evaluation index system |
Mature Application Period | 2020–2024 | Collaborative emission reduction technology | Port group energy-saving and emission-reduction efficiency evaluation, berth and yard joint optimization |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Yuan, K.; Ma, L.; Wang, R. Research Hotspots and Evolution Trends of Port Emission Reduction: A Bibliometric Analysis Based on CiteSpace. Sustainability 2025, 17, 1474. https://doi.org/10.3390/su17041474
Yuan K, Ma L, Wang R. Research Hotspots and Evolution Trends of Port Emission Reduction: A Bibliometric Analysis Based on CiteSpace. Sustainability. 2025; 17(4):1474. https://doi.org/10.3390/su17041474
Chicago/Turabian StyleYuan, Kebiao, Lina Ma, and Renxiang Wang. 2025. "Research Hotspots and Evolution Trends of Port Emission Reduction: A Bibliometric Analysis Based on CiteSpace" Sustainability 17, no. 4: 1474. https://doi.org/10.3390/su17041474
APA StyleYuan, K., Ma, L., & Wang, R. (2025). Research Hotspots and Evolution Trends of Port Emission Reduction: A Bibliometric Analysis Based on CiteSpace. Sustainability, 17(4), 1474. https://doi.org/10.3390/su17041474