Journal of Transportation Systems Engineering and Information Technology

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    Public Transport Development Experience of UK and Its Enlightenment to China
    XU Wen-Qiang, XU Ya-Hua, FENG Li-Guang
    Journal of Transportation Systems Engineering and Information Technology    2012, 12 (4): 190-194.  
    Abstract （5187）      PDF （278KB）（1732）      

    Based on field investigation and related materials, the paper summarizes the development characteristics of UK urban public transport. It analyzes the policies and measures of UK in terms of management system, market operation, service monitoring investment and ticket pricing. Considering the actual status of cities in China, some advices are proposed for improving China’s urban public transport, including establishing the operation management system, promoting company competition, pricing ticket with scientific theory and methods, increasing investment, strictly evaluating operation and services, adjusting traffic demands by economic approaches, and encouraging green traffic modes. It may provide references for policy and measure making up of the government.
    Energy Conservation and Emission Reduction of Integrated Transportation System
    ZHANG Guo-wu
    Journal of Transportation Systems Engineering and Information Technology    2010, 10 (2): 2-11.  
    Abstract （5022）      PDF （1869KB）（1395）      
    The 18th Conference of “Traffic and Transportation Forum 7+1” sets its theme as “energy conservation and emission reduction of integrated transportation system”. With the rapid development of economy, the contradiction between increasing transport capacity and limited energy resource appears to be more serious than ever. The energy consumption and emission is directly identified in the process of service production. While, its amount have strong relationship with the overall planning, layout, equipment, and structure of the integrated transportation system, instead of merely determined by the production process. The differences of the domestic and international statistical caliber are analyzed, and the energy consumption level in China is estimated with the international caliber. The results indicate that the transportation consumption level is underestimated in Chinese transport industry, especially the level of petroleum. The consumption factors of different transport mode are presented then. Moreover, the coming challenge, future direction, and relevant count measures are discussed for energy conservation and emission reduction of integrated transportation system.
    Prediction of Transportation Industry Carbon Peak in China
    LI Ninghai, CHEN Shuo, LIANG Xiao, TIAN Peining
    Journal of Transportation Systems Engineering and Information Technology    2024, 24 (1): 2-13.   DOI: 10.16097/j.cnki.1009-6744.2024.01.001
    Abstract （1447）      PDF （2327KB）（683）    PDF(English version) （684KB）（142）   
    Transportation industry faces a series of challenges under the strategy of "carbon peak" due to the high carbon emissions. This paper analyzes the current situation of the carbon emissions in passenger and freight transportation in China. Based on the statistical data and relevant research results, this study simulates the carbon emissions of the transportation industry including private cars. The carbon emission factors of each transportation mode are calculated. The trend of passenger and freight turnover in 2019 to 2040 is predicted based on the experience of some developed countries. Taking 2040 as the target year, the scenarios of future transportation structure and carbon emission factors were designed, and the time and value of carbon peak for transportation in China are estimated. The results show that the transportation carbon emission, including private cars, is 1.11 billion tons in 2020. It is predicted that the passenger transportation demand will be 8.2 to 8.7 trillion person-kilometers, and the freight transportation demand will be 27.3 to 28.7 trillion tonnage kilometers in 2040. It is verified that it would be difficult to achieve the carbon peak before 2040 only through improving the transportation structure, and it is also significantly important to promote the upgrading of clean transportation technology. The scenario analysis shows that the transportation industry is expected to achieve the carbon peak in 2031 to 2034 by encouraging the transformation of transportation structure such as "road to rail" and "road to water", and promoting the cleanliness of roadway transportation.
    Natural Peak Characteristics and Peak Forecast of Carbon Emissions in Transportation Industry
    YANGDong, LIYanhong, TIAN Chunlin
    Journal of Transportation Systems Engineering and Information Technology    2024, 24 (2): 34-44.   DOI: 10.16097/j.cnki.1009-6744.2024.02.004
    Abstract （1357）      PDF （3274KB）（309）      
    The peak of carbon emissions in the transportation industry is a natural long-term evolutionary process. In order to study the process of carbon peaking in China's transportation industry, this paper adopts the international analogy method, selects typical foreign countries, and compares the time of the peaks of the overall national carbon emissions, transportation industry carbon emissions, and converted turnover. The natural peak characteristics of transportation industry carbon emission are analyzed and the time of the natural peaks of carbon emissions in China's transportation industry is predicted according to transportation demand forecast. Then, the STIRPAT (Stochastic Impacts by Regression on Population, Affluence, and Technology) prediction model is constructed by introducing the core influencing factors such as carbon emissions per unit of converted turnover and the ratio of railroad to road freight transportation. Finally, through analogical analysis and model prediction, the time and volume of peak carbon emissions of China's transportation sector are obtained. The results of the international analogy show that there is no clear causal relationship between the peak carbon emissions of the transportation industry and the national peak carbon emissions, but it is closely related to the peak converted turnover, and the converted turnover reaches the peak or is close to the peak when the carbon emissions of the transportation industry reach the peak. It is predicted that China's converted turnover will reach a plateau period of 26 trillion ton-kilometers in about 2048. From the perspective of the international analogy, the time of the natural peak of China's carbon emissions from transportation is roughly roughly between 2040 and 2043. The STIRPAT model shows that the carbon emissions of China's transportation industry will increase by 1.201%, 0.259%, 0.454%, and-0.389%, respectively, for every 1% increase in urbanization rate, per capita GDP, carbon emissions per unit converted turnover, and railway- road freight ratio. Based on the combination prediction of international analogy and STIRPAT model, China's transportation industry will achieve peak carbon emissions in 2038-2040, with about 1.3 billion tons.
    Research on Energy Consumption and Carbon Emissions in the Whole Life Cycle of Beijing-Xiong'an Intercity Railway
    CAO Meng, YUAN Zhenzhou, YANG Yang, NIE Yingjie, NA Yanling, SUN Yunchao, CHEN Jinjie
    Journal of Transportation Systems Engineering and Information Technology    2024, 24 (5): 37-44.   DOI: 10.16097/j.cnki.1009-6744.2024.05.004
    Abstract （1205）      PDF （1339KB）（665）    PDF(English version) （341KB）（43）   
    As the backbone of green transportation, intercity railways play a supporting role in reducing energy consumption and achieving the goal of "carbon peak and carbon neutrality". This paper analyzes the development trajectory and energy consumption patterns of intercity railways in China, with a particular focus on the entire lifecycle of planning, design, construction, and operation within the context of the "dual carbon" initiative. Utilizing the Beijing-Xiong'an intercity railway as a prototypical case, the paper examines energy consumption and carbon emissions across its lifecycle, incorporating the influence of energy-saving, emission-reduction strategies, and green carbon sink measures. The findings reveal that carbon emissions during the planning and design phases are negligible, whereas the energy consumption during the operation stage dominates, accounting for approximately 74.9% of the total annual lifecycle energy consumption. Additionally, the energy consumption attributed to building materials production (scaled to 100 years) constitutes roughly 22.4% of the total. Notably, the implementation of energy conservation, emission reduction, and green carbon sequestration measures has yielded substantial outcomes, achieving an average annual energy savings of approximately 12%. When compared with similar railway energy consumption indicators globally, the Beijing- Xiong'an intercity railway's unit transportation traction energy consumption of 6.42 tce per million person-kilometer aligns with expectations. Furthermore, its carbon reduction impact is significant in diverting highway passenger traffic, savings approximately 612.67 million yuan in carbon sink transactions and generating substantial societal benefits. This comprehensive analysis offers valuable insights and reference for the establishment of a green and low-carbon intercity railway carbon emission dual control indicator system.
    A Quantitative Analysis of Carbon Emissions Reduction Ability of Transportation Structure Optimization in China
    WEI Qing-qi, ZHAO Song-zheng, XIAO Wei
    Journal of Transportation Systems Engineering and Information Technology    2013, 13 (3): 10-17.  
    Abstract （1129）      PDF （548KB）（913）      

    In order to develop a lowcarbon emissions transportation system, it is important to study the carbon emissions reduction ability of transportation structure optimization. Based on analysis of the impact of transportation structure on carbon emissions, this paper employed a quantitative approach and time series data (1989-2009) to analyze the effect of transportation structure on carbon emissions in China. In this study, a quantitative approach of the decomposition analysis and the impulse response function were combined. Measurements of the quantity change in carbon emissions caused by the transportation structure factor were obtained along with the responses of the carbon emissions to the impulse of the transportation structure optimization. The relationship between transportation structure and carbon emissions was discussed based on empirical results, including: (1) shortand longterm influence of transportation structure on carbon emissions; (2) comparative analysis of transportation structure and other principal factors; (3) the dynamic interaction mechanism between transportation structure and carbon emissions. The outcome of this study proved to be valuable for researchers and decision makers in this field.
    Hydrogen Fuel Cell Bus: A Literature Review and Prospects
    LIU Tao, GUO Jiaxin, HAN Ying, TANG Chunyan
    Journal of Transportation Systems Engineering and Information Technology    2024, 24 (5): 1-13.   DOI: 10.16097/j.cnki.1009-6744.2024.05.001
    Abstract （958）      PDF （1708KB）（378）    PDF(English version) （807KB）（48）   
    The adoption of hydrogen fuel cell buses (HFCBs) contributes to reducing carbon emissions and promoting the sustainable development of transportation systems. This paper systematically reviews the research literature on HFCBs by searching relevant databases. The review covers five main areas: the feasibility and prospects of developing HFCBs, evaluation of HFCB systems and comparison with other transit modes, social acceptance of HFCBs, planning and operations management of HFCBs, and safety analysis of HFCBs. This study reveals that, as HFCBs are still in the exploratory development stage, there are relatively more studies on the feasibility, system evaluation, and social acceptance of HFCBs, whereas studies on the system planning, operations management, and safety analysis are relatively less. Although China's scientific research and practice in the field of HFCBs started later than other countries, it is currently among the world leaders. Driven by both policy support and market demand, HFCBs are rapidly developing in China. Based on the literature review, the paper further analyzes existing research limitations and proposes suggestions for future studies. The research indicates that further in-depth studies can be conducted in four areas: reducing the cost of HFCBs, enhancing infrastructure construction, increasing social acceptance, and strengthening safety management. Particularly, attention should be given to innovations in hydrogen fuel cell battery technology, supporting infrastructure development, and operational safety assurance. In the future, HFCBs have broad application prospects by providing transportation service in various transportation scenarios, such as in tourist attractions, large-scale sports events, urban transportation, or in intercity long-distance transport. Academia and industry should actively align with the relevant policy requirements and practical needs of the hydrogen energy industry and transportation development. Continuous in-depth research should be conducted on the key and challenging aspects of HFCBs development to jointly support its sustainable development.
    Drone Delivery: A Systematic Review on Technology, Efficiency, and Applications
    WU Jingqiong, DIAN Ran, ZI Taisheng, LI Yunqi
    Journal of Transportation Systems Engineering and Information Technology    2025, 25 (6): 34-49.   DOI: 10.16097/j.cnki.1009-6744.2025.06.004
    Abstract （952）      PDF （2284KB）（450）      
    With the rapid development of e-commerce and a surge in demand for instant delivery, drone delivery, as an innovative solution in the logistics sector, is driving profound transformations in the logistics system. This paper synthesizes findings from 74 relevant articles published between 2015 and 2024, comprehensively examining drone delivery research advancements across key dimensions including critical technologies, economic benefits, environmental sustainability, application potential, and system synergy. The results indicate that drone delivery primarily relies on path planning algorithms, energy management, and multi-drone collaboration as its core technologies. Related optimization research has evolved from single-objective to multi-objective coordination, with algorithms transitioning from classical heuristics to intelligent approaches, effectively reducing solution time and optimizing costs. However, nonlinear effects of payload and wind resistance, along with adaptability to harsh weather conditions, remain bottlenecks. In terms of economic benefits, drone-vehicle collaborative systems can significantly reduce customer waiting time, delivery costs, and labor demands through optimized path planning and resource scheduling. Integration with public transit systems (bus/subway) effectively expands service coverage while reducing energy consumption. Multi-objective optimization models dynamically balance energy consumption, cost, and timeliness to further enhance synergistic benefits. Nevertheless, economic viability remains constrained by payload and range limitations, showing greater advantages in short distance, lightweight deliveries, particularly for emergency cargo deliveries. Environmental benefit analyses demonstrate that the operational phase of drone delivery exhibits significantly lower carbon emissions than traditional transportation methods, though a comprehensive lifecycle assessment encompassing manufacturing, operation, and recycling phases is required. Regarding applications, drone delivery technology demonstrates unique value in medical supply distribution, emergency logistics, and urban "last- mile" delivery, with particular advantages in remote areas and urgent emergency scenarios. However, challenges persist regarding safety risks, technological innovation gaps, limited social acceptance, and imperfect policy regulations. Future research should prioritize battery technology breakthroughs, intelligent path planning optimization, privacy/security safeguards, and cross regional policy coordination to accelerate drone delivery commercialization.
    Evolutionary Game Analysis of Port and Shipping System Emission Reduction Under Government Regulation
    LI Xiao-dong, KUANG Hai-bo, HE Hong-yua
    Journal of Transportation Systems Engineering and Information Technology    2023, 23 (1): 17-29.   DOI: 10.16097/j.cnki.1009-6744.2023.01.003
    Abstract （884）      PDF （2913KB）（297）    PDF(English version) （1841KB）（111）   
    This paper focuses on the emission reduction problem in China's port and shipping system and proposes a game model with environmental regulation evolutions. The model includes the subjects of local governments, ports, and shipping companies. The study analyzes the strategy selection process and overall evolutionary stability of the three subjects and clarifies the driving mechanism of the evolutionary trend for each subject in the port and shipping system. Based on the numerical simulation analysis, the paper discusses the initial strategy of the three subjects and the strategy choice of the port and shipping system under different incentive and punishment mechanisms of local government. The results show that: (1) The active supervision strategy of local governments is related to the low willingness of ports and shipping companies to actively reduce emissions. (2) The evolution rate of active emission reduction strategies of ports and shipping companies corresponds directly to their mitigation intentions. (3) Under the static incentive and punishment mechanism, the penalty intensity of the local government does not affect the positive emission reduction strategies of ports and shipping companies. Still, it leads to their negative emission reduction if local governments adopt low subsidy measures. (4) Local governments have only a single strategy (high subsidies, no penalties) to enable ports and shipping companies to reach an evolutionary equilibrium (active emission reduction, aggressive emission reduction) under the static incentive and punishment mechanism. (5) Under the dynamic incentive and punishment mechanism, local governments adopt a hybrid regulatory strategy (low dynamic subsidy, high static penalty) to achieve the evolutionary equilibrium of active emission reduction strategies for port and shipping systems with low cost.
    Intermodal Transportation Network Design Optimization Considering Demand Uncertainty Under "Dual Carbon" Background
    HUANG Rui, ZHAO Xu, WANG Jingyun
    Journal of Transportation Systems Engineering and Information Technology    2025, 25 (6): 1-12.   DOI: 10.16097/j.cnki.1009-6744.2025.06.001
    Abstract （859）      PDF （2693KB）（416）      
    A central challenge in modern intermodal transportation planning is the simultaneous consideration of "Dual Carbon" goals and growing fluctuations in freight demand. To address this challenge, this study presents an optimization model for intermodal transport network design. First, a bi-level bi-objective optimization model is developed, with the strategy planner serving as the upper-level leader and shippers as the lower-level followers. The upper level jointly determines the capacity expansion investment, low-carbon investment, and subsidy policies, with the objective of maximizing total revenue while minimizing total carbon emissions. The lower layer solves the network cargo flow allocation under user equilibrium based on generalized transportation costs. Then, the theory of real options is introduced, and geometric Brownian motion is used to describe the stochastic process of transportation demand fluctuations. This enables the quantification of the option value of delayed optimization to determine the optimal timing for strategy implementation. Based on the model characteristics, a nested Frank Wolfe multi-objective evolutionary algorithm based on decomposition (MOEA/D) is designed to solve the deterministic model, combined with a least squares Monte Carlo simulation algorithm to get the optimal implementation timing. Empirical analysis along the Western Land-Sea New Corridor shows that the proposed method simultaneously balances the economic, low-carbon, and operational efficiency optimization goals, which results in a 16.58% decrease in unit transportation costs, a 27.11% decrease in total carbon emissions, and a robust 5.41% increase in total revenue. Under demand uncertainty, delaying the implementation of optimization strategies can generate additional option value. In the case study, delaying to the third period can increase expected revenue by 4.70% and reduce total carbon emissions by 5.03%.
    On Development Path of Hydrogen Energy Technology in China's Transportation System Under Carbon Neutrality Goal
    MAO Bao-hua , LU Xia , HUANG Jun-sheng , HO Tin-kin , CHEN Hai-bo
    Journal of Transportation Systems Engineering and Information Technology    2021, 21 (6): 234-243.   DOI: 10.16097/j.cnki.1009-6744.2021.06.027
    Abstract （783）      PDF （1489KB）（814）    PDF(English version) （679KB）（246）   
    Hydrogen energy is an important secondary energy for the clean transformation of the future energy system. In this paper, we first investigate the research, development, and implementation strategy of hydrogen energy in the USA, EU, and Japan. With the advantages of hydrogen energy and the future task of global carbon emissions reduction, we then analyze the key technologies research, industrial development, and transportation industry application on hydrogen energy. The promotion strategies of hydrogen energy technologies in the USA, EU, and Japan are compared from the technical point of view. And the gap in hydrogen energy technologies between China and the countries was pointed out. Based on the actual statistical data, the carbon emissions of railway, highway, water, and air transportation in China are analyzed. With the characteristic parameters of hydrogen energy, the effect of hydrogen energy application on carbon emission reduction is calculated in different fields, such as road and railway. The results show that the carbon emissions are reduced by 70 million tons if the hydrogen energy can reach 10% in energy consumption of road freight transportation, using 10 million tons of hydrogen could reduce nearly 100 million tons of carbon emissions. Wepropose the research and application strategy of hydrogen energy and establish the comprehensive complementary regulation mechanism of renewable energy and hydrogen energy. For example, the abandoned electricity of renewable power generation in western China can be used recently to reduce the cost of hydrogen production from electrolytic water, gray hydrogen can be used to replace fuel oil, and the market of the hydrogen fuel cell can be expanded in the medium and long term. We also study the key fields which are suitable for hydrogen energy development in the transportation industry. The analysis shows that if the application of hydrogen energy in road transportation can reach 40 million tons in 2060, it is expected to achieve a carbon emission reduction of about 400 million tons in the transportation industry. Under the goal of the carbon neutrality, we propose suggestions of promoting hydrogen energy technology and products in passenger and freight transportation of high-power, long-distance, and low-temperature areas and building a green transportation system together with the existing development strategy of electric vehicles.
    Synergistic Benefit Analysis of CO 2 and NOx Emissions in Civil Aviation of China Under Dual-carbon Target
    HAN Bo , DENG Zhi-qiang , YU Jing-lei, SHI Yi-lin , YU Jian
    Journal of Transportation Systems Engineering and Information Technology    2022, 22 (4): 53-62.   DOI: 10.16097/j.cnki.1009-6744.2022.04.006
    Abstract （720）      PDF （1989KB）（259）    PDF(English version) （711KB）（46）   
    As an important part of transportation, the civil aviation industry is of great significance to the implementation of the national carbon peak and carbon neutral policy. In this study, a comprehensive prediction model of carbon emission and air pollutant emission is constructed to fit the characteristics of civil aviation, and the growth of civil aviation aircraft and CO2 and NOx emissions in 2019-2050 is predicted. The synergistic control coordinate system and synergistic emission elasticity coefficient are used to evaluate the synergistic benefits of emission reduction. The research shows that the future annual increment of civil aviation aircraft will show a trend of continuous growth, which is closely related to the development of GDP, potential output, and labor efficiency. The improvement of fuel efficiency cannot change the current situation of the continuous growth of CO2 and NOx emissions in civil aviation. The development of sustainable aviation fuel will make the CO2 emission of civil aviation peak at 3.18×108 tons in 2045 and promote the continuous growth of NOx emission. This effect can be eliminated through technological advancement and the introduction of new power aircraft, and the peak time of CO2 emission in civil aviation will be advanced to 2040, in which the emission can be reduced to 2.65×108 tons. On this basis, accelerating the application of sustainableaviation fuel can make civil aviation CO2 emissions peak at 2.47×108 tons in 2037. Civil aviation cannot achieve a carbon peak in 2030. The proper introduction of sustainable aviation fuel, the acceleration of civil aviation technology improvement, and the application of new power aircraft are the best choices to strengthen the coordinated emission reduction of CO2 and NOx in civil aviation. Finally, some suggestions are provided that, the best way for the civil aviation industry to achieve dual carbon is to focus on improving aircraft fuel economy in the short term, accelerating the application of sustainable aviation fuel in the medium term, and realizing zero-carbon flight by relying on new powered aircraft in the long term.
    Monitoring and Assessing Carbon Footprint of Individual Trip Chain in Environment of Mobility as a Service
    LI Wen-xiang, CHENG Jia-nan, LIU Xiang-long, MU Kai, CAI Jin-jin, LIU Wei-wei
    Journal of Transportation Systems Engineering and Information Technology    2023, 23 (2): 22-31.   DOI: 10.16097/j.cnki.1009-6744.2023.02.003
    Abstract （707）      PDF （3014KB）（310）      
    Under China's strategic goal of "carbon peaking and carbon neutrality", scientific and accurate monitoring and evaluation of the carbon footprint of individual travel is the basis for promoting the low-carbon transformation of urban transportation, but it also faces great challenges. Therefore, based on the data openness and sharing of the Mobility as a Service (MaaS) platform, a carbon footprint monitoring and evaluation method for urban individual trip chains in the MaaS environment is proposed. Firstly, we designed an urban transportation carbon source monitoring index system based on the MaaS platform and realized the extraction and integration of multi-modal transportation characteristics of users' individual trip chains. Then, we established the carbon emission calculation models for trips by private motor vehicles and rail transit, respectively, and the carbon emissions of different transportation modes are calculated and then added up to obtain the carbon footprint of individual complete trip chains. Finally, the carbon emission reduction of the individual trip chain was evaluated by using the baseline scenario of car trips. The case analysis of 8424 travel sections collected in Beijing shows that the average person-kilometer carbon emissions of the trip chain dominated by motor vehicles, buses, rail, and non-motor vehicles are 0.238 kg · pkm- 1 , 0.031 kg · pkm- 1 ,0.039 kg · pkm-1 , and 0.0017 kg · pkm-1 , respectively, and the average person-kilometer carbon reduction to the baseline is 0.029 kg · pkm-1 , 0.22 kg · pkm-1 , 0.23 kg · pkm-1 , and 0.28 kg · pkm-1 , respectively. The carbon emission reduction of person-kilometers in the trip chain is positively correlated with the proportion of green travel in the trip chain. Electrifying vehicles on MaaS platforms could increase carbon reduction benefits by 52.5%.
    Integrated Optimization of Grain Loading Strategies and Transportation Routes Considering Losses
    WAN Min, KUANG Haibo, JIA Peng, YU Fangping, MA Qianli, ZHANG Yige, ZHAO Sue
    Journal of Transportation Systems Engineering and Information Technology    2025, 25 (1): 15-23.   DOI: 10.16097/j.cnki.1009-6744.2025.01.002
    Abstract （705）      PDF （1877KB）（228）      
    A high-quality grain distribution system is critical to ensure the balance of grain supply and demand and food security. This study considers the perishable nature of grain types and aims to minimize the total costs of transportation, carbon emissions, and loss. An integrated optimization model is proposed to consider different loading methods (bagged-bulk-container) and various transportation modes (road-rail-sea). A case study was performed using the heuristic genetic algorithm in the "grain transport from North to South China" scenario in Northeast China. The results indicate that compared to bagged grain and bulk grain transport, multimodal transport of grain containers by rail, road, and water has clear advantages in terms of lower total cost and reduced loss. The proportion of grain loss cost in container transport, bagged grain transport, and bulk grain transport is 9.86%, 42.29%, and 29.82%, respectively. In the "grain transport from North to South China" process, roads are primarily used for local collection and distribution, while railways and waterways handle long- distance trunk transportation. When the delivery time requirements increase, the proportion of railway transportation would gradually increase, and the proportion of waterway transportation would decrease. When the total delivery time reaches 71.5 hours, the optimal transportation scheme would shift from container multimodal transport via road, rail, and sea to container multimodal transport via road and rail only. In the composition of total costs, the transportation costs and carbon emission costs of the optimal routes for the three loading methods are essentially the same. The study result also serves as a reference for the government regulatory agencies and logistics service providers that reducing grain transportation losses is an effective way to lower the overall logistics transportation costs.
    Review of Literature on Air-rail Intermodality Focusing on Passenger Travel Behaviour
    ZHANG Xiaoqiang, ZHOU Huixuan, WU Xiaoyu
    Journal of Transportation Systems Engineering and Information Technology    2025, 25 (3): 5-21.   DOI: 10.16097/j.cnki.1009-6744.2025.03.002
    Abstract （703）      PDF （1731KB）（281）    PDF(English version) （619KB）（6）   
    Comprehensive transportation is the development direction of intelligent, green and safe transportation in recent years. Through comprehensive development and utilization of aviation, railway, highway, waterway and pipeline transportation modes, it builds a transportation system with advanced transportation technology, reasonable layout and structure. Air-rail intermodality is one type of comprehensive transportation, which not only reduces the waste of resources through the reasonable use of existing transportation infrastructure, but also improves transportation accessibility through low cost of transportation mode shift. Air-rail intermodality is an effective strategy to ease airport congestion, expand the scope of airport radiation, reduce carbon emissions and meet the diversity of travel demand. In recent years, related research on air-rail intermodality has included research on competition and cooperation of air-rail intermodality, air-rail intermodality network, and evaluation methods of air-rail intermodality at macro level, then research on of air-rail intermodality at the middle level, and research on passenger travel behavior of air-rail intermodality at the micro level. This paper summarizes and the representative studies in domestic and international level of air-rail intermodality from 2000 to 2024, and sorts out the research results under different operation backgrounds and different transportation network scales. It is found that domestic scholars are more concerned on transport passenger travel behavior, emphasize passenger travel demand, and scholars in other countries tend to focus on air-rail intermodality social benefits and environmental benefits, emphasize the sustainable development of air-rail intermodality. The reasons of the research differences at home and abroad are analyzed from the social background, technical background and policy support. In the future, to explore practical collaborative research, including conflicts of interest between operators and between operators and passengers, the conflict between social and environmental benefits is a valuable research direction. Systematic research on the construction of air rail intermodal network, the location of transit nodes to network optimization, construct the evaluation method system of air-rail intermodality, it has guiding significance to the development of air-rail intermodality. Expanding the study area for air-rail intermodality with the considerations of the diverse needs of travelers, coping strategies that incorporate uncertainty factors, such as providing flight delay insurance, is a very meaningful research topic. It is a practical work to deeply integrate the theoretical research and practical application of passenger travel behavior of air-rail intermodality. Atlast, the future development of air-rail intermodality should use advanced science and technology to reduce the data acquisition cost of the whole travel chain of air-rail intermodality passengers and build a travel service platform of air-rail intermodality including travel path planning, one-stop ticket purchase, connection process visualization, connection time prediction and other services.
    Prediction of Aircraft CO2 Emission from Perspective of CO2 Emission Peak
    HU Rong , WANG De-yun, FENG Hui-lin, LIU Zhi-hao, ZHANG Jun-feng
    Journal of Transportation Systems Engineering and Information Technology    2021, 21 (6): 257-263.   DOI: 10.16097/j.cnki.1009-6744.2021.06.029
    Abstract （644）      PDF （1863KB）（433）    PDF(English version) （656KB）（188）   
    The CO2 emission from aircraft at the airport is one of the major sources of CO2 emission in the civil aviation industry. Achieving the peak of aircraft CO2 emission as early as possible would help to accelerate the development of green civil aviation. This study uses the improved ICAO (International Civil Aviation Organization) aircraft emission method to calculate the aircraft CO2 emission in 2019 in Xiamen Gaoqi International Airport as an example. Then, the scenario analysis and Monte Carlo simulation are used to predict the peak of aircraft CO2 emission at Xiamen airport. The results show that: aircraft CO2 emission during landing and take- off cycles at Xiamen airport was 338 thousand tons in 2019 and the maximum would reach as high as 453 thousand tons in 2035. In the scenario with green development and technological breakthrough in the civil aviation industry, aircraft CO2 emission can reach the peak before 2035, and the technological breakthrough scenario helps to achieve the CO2 emission peak earlier than the scenario of green development and the peak value is lower. Aircraft taxiing time and biofuel substitution rate are the most important factors that affect the peak of CO2 emission. The aircraft CO2 emission at airports can be reduced by optimizing surface operation and providing more airport planning and guidance, so as to achieve the peak of airport aircraft CO2 emission successfully and early.
    A Review of Environmentally Sustainable Container Liner Shipping Management
    GE Ying-en, WEN Xin
    Journal of Transportation Systems Engineering and Information Technology    2021, 21 (4): 6-22.   DOI: 10.16097/j.cnki.1009-6744.2021.04.002
    Abstract （624）      PDF （1532KB）（537）      
    The containier shipping management proposes a new challenge to shipping companies, port operators and governmental agencies on how to maintain high quality services and benefits while keep the development to be environmentally sustainable. This paper reviews the methods, technologies and regulations relevant to environmental sustainability of container liner shipping from the strategic, tactical and operational perspectives and identifies the future trends of this research topic. The strategic level review discusses the mechanisms and policies of emissions mitigation, green policies, technologies, measures, and corporate collaboration and competition regarding environmental sustainability of container liner shipping. At the tactical level, optimizing liner shipping, pre-scheduling green liner shipping and establishing emissions control areas are analyzed to minimize fuel consumption and emissions. The operational level review investigates the operations of container loading/unloading and the green-responsive liner shipping. The review indicates that the focus areas of the existing research are closely related to the industrial and governmental policies on environment. The research on tactical decision- making is more than the research on the strategic and operational issues. Most of the literatures take the shipping company as the major decision maker. Therecommendations of this paper include: (1) continue incorporating multiple objectives in liner shipping optimization and consider the economic, environmental and social factors to achieve a sustainable development of liner shipping; (2) establish scientific problems from the practice of liner shipping; the international shipping and particularly liner shipping is significantly affected by the policies of government and International Maritime Organization (IMO) and the global economic atmosphere; (3) Consider the global supply chains in the study of the environmentally sustainable container liner shipping problem; (4) explore the technological and operational methods to encourage the sustainable development of linear shipping; (5) Borrow the ideas or concepts of green development in other transport modes to promote the environmentally sustainable development of liner shipping.
    Impact of "Star-Type" High-speed Railway Network on High-quality Development of Regional Social Economy
    YUE Guoyong, HU Hao
    Journal of Transportation Systems Engineering and Information Technology    2024, 24 (5): 24-36.   DOI: 10.16097/j.cnki.1009-6744.2024.05.003
    Abstract （612）      PDF （2915KB）（524）      
    This paper focuses on the first "Star-type" high-speed railway network in China and analyzes its impact on regional high-quality development from four dimensions: spatial pattern, economic development, social development and ecological environment. The study constructs a comprehensive impact evaluation model and establishes a multidimensional indicator system to evaluate the effects. It culminates in a detailed quantitative analysis of the outcomes to provide a nuanced understanding of the impacts. The result indicates that the opening of the "Star-type" high-speed railway network has significantly reduced the weighted average travel time between and within Henan province to 4.90 hours and 1.62 hours, with improvements rate of 65.6% and 37.8% . The intensity of regional connections has been significantly enhanced, gradually forming a "center-periphery" development structure which focuses on intra-provincial connections and steadily expands to the energy consumption optimization and comprehensive operational emission reduction of railway northeast and southeast. The primacy index of Zhengzhou high-speed railway hub has increased from 1.90 to 2.83, further consolidated its position as a core hub. The differencein-differences model is used to verify that the "Star-type" high-speed railway network has a positive promotion on economic and social development indicators of Henan，such as social fixed assets investment, foreign capital utilization, per capita Gross Domestic Product (GDP), urbanization rate, employment upgrading index, etc. The amount of optimized comprehensive energy consumption and comprehensive operational emission reduction in railway passenger transport has steadily increased, and industrial SO2 emissions reduced, with significant ecological environment effects.
    Capacity Efficiency and Influencing Factors Study of Chinese Listed Airlines
    LIU Dan, LIN Shanshan, ZHENG Yuting
    Journal of Transportation Systems Engineering and Information Technology    2025, 25 (6): 13-22.   DOI: 10.16097/j.cnki.1009-6744.2025.06.002
    Abstract （608）      PDF （1606KB）（166）      
    Under carbon emission constraints, enhancing capacity efficiency to gain a competitive edge in the market has become a common focus among airline executives. This paper selects the panel data of 6 listed airlines in China from 2017 to 2021, incorporates carbon emissions as an undesirable output into the indicator system, and uses a window-based network DDF (Directional Distance Function) model to measure the capacity efficiency of listed airlines. Capacity inefficiency is decomposed into technical inefficiency and capacity utilization inefficiency to identify the key constraints behind the low capacity efficiency of listed airlines in China. Additionally, the dual methodology of panel regression and threshold effect analysis is used to investigate the impact of government subsidies on the capacity efficiency of listed airlines under the regulatory effect of equity concentration. The results show that the capacity efficiency of the 6 listed Chinese airlines under carbon emission constraints is generally low, jointly influenced by both technological level and capacity utilization. All listed airlines need to reduce carbon emissions during flight operations. The impacts of various factors on the capacity efficiency of Chinese listed airlines exhibit heterogeneity, with government subsidies, ownership concentration, enterprise age, and flight hours are the key driving factors in improving capacity efficiency of listed airlines in China. Furthermore, under the regulatory effect of equity concentration, the impact of government subsidies on the capacity efficiency of listed airlines exhibits a single-threshold regulatory effect, which maintains a promoting effect when the ownership concentration is less than or equal to 86.79%, but becomes an inhibitory effect when it is greater than 86.79%. Therefore, listed airlines should advance technological innovation, optimize input allocation, and maintain a reasonable level of ownership concentration. The government should facilitate technological upgrades, foster energy conservation and carbon reduction, and optimize the subsidy allocation mechanism.
    Pathway Towards Carbon Peak in Transportation Sector of Hunan Province
    FANG Han-xiao, LIU Can, JIANG Kang, XIAO Huai-xian, TANG yun
    Journal of Transportation Systems Engineering and Information Technology    2023, 23 (4): 61-69.   DOI: 10.16097/j.cnki.1009-6744.2023.04.007
    Abstract （587）      PDF （1727KB）（219）      
    Transportation is a crucial element of the global economy, but it is also a significant source of carbon emissions. This study focuses on carbon emissions in the transportation sector of Hunan province. With the base year set as 2021, three scenarios are established: reference scenario, low- carbon scenario, and enhanced low- carbon scenario. The LEAP (Long- Range Energy Alternatives Planning System) model is employed to analyze and predict carbon emissions in Hunan's transportation sector from 2022 to 2035. The results show that in the reference scenario, carbon emissions in Hunan's transportation sector will increase rapidly, reaching 57.25 million tons in 2035, with no peak appearing during the forecast period. In the low-carbon and enhanced low-carbon scenarios, carbon emissions in Hunan's transportation sector are expected to reach their peak in 2033 and 2029, respectively, with peak amounts of about 44.81 million tons and 42.58 million tons. During the forecast period, energy consumption will only reach its peak under the enhanced low-carbon scenario, with a peak amount of 21.62 million tons of standard coal expected in 2030. It is recommended that Hunan province adopt strengthened energy-saving and emission reduction measures under the enhanced low-carbon scenario to promote the transportation sector's low-carbon sustainable development and achieve carbon peak as soon as possible. Finally, three main recommendations for green and low-carbon development in the transportation sector in Hunan Province are proposed based on emission reduction potential analysis: (1) It is recommended to adopt enhanced energy-saving and emission reduction measures under the enhanced low-carbon scenario to achieve carbon peaking as soon as possible. (2) The social vehicle sector is a key area for reducing emissions. It is recommended to promote new energy while constructing a clean power grid to maximize the benefits of emissions reduction. (3) Road freight transportation is an important focus for reducing emissions. Adjusting the transportation structure and reducing carbon emissions from heavy-duty trucks are the primary measures for reducing emissions from road freight transportation.