Transportation System In China Research Articles

The application of renewable energy in transportation systems in China

The energy consumption level in transportation is projected to continue its current upward trend until the year 2040. Motor gasoline and diesel are the most consumed energy sources in common transportation, followed by jet fuel and natural gas. Regrettably, biofuel and electric energy, which are renewable energy sources, had only a little contribution to overall energy consumption in transportation. This indicates that the use of renewable energy sources in transportation is still in its early stages. The rapid advancement of energy innovation is causing alarm among the general people. In 2020, greenhouse gas emissions from transportation reached a record high. In order to predict the future trajectory of renewable energy, it is crucial to closely monitor the utilization of nonrenewable energy sources in transportation, which is currently at a high level. This study examines the existing energy sources in China and utilizes reliable research papers and data to demonstrate the practicality of several energy advancements in current transportation systems. The study will employ a literature review method to examine the advancements in energy innovation within the domains of internal combustion engines and electric motors in automobiles, waterborne transportation, and aircraft.

A Multidimensional Readiness Index for the Electrification of the Transportation System in China, Norway, and Sweden

The main objective of this paper is to develop a readiness index model that can serve as an analytical tool for exploring the achievements of the electrification of transportation systems. We have applied this readiness index model to evaluate the readiness positioning of China, Norway, and Sweden towards transportation electrification. We have chosen these three countries as they represent diversity among countries adopting electric transportation system solutions. Our developed readiness index model has four key dimensions: technological readiness, political readiness, societal readiness, and economic readiness. The embeddedness of all four dimensions in one model provides a multi-perspective way of analyzing and evaluating the readiness levels of countries moving towards transforming their transportation system. Therefore, we named the model a “multidimensional readiness index”. Our main conclusions are that political processes and decisiveness are the most important factors, followed by societal needs and economic ability, with the current technology as the fourth. Without the participation of dedicated and determined political decision makers, the other three factors are challenging to obtain. Political decision makers need to facilitate economic means to support the transformation in society and affected industries to balance the economic disadvantages of the electrically powered vehicle systems until they pass the cost disadvantage turning point. The development of relevant technology is no longer the significant barrier it was at the beginning of this transformation about 20 years ago. The technology for electrically powered transportation systems and devices is widely available now, although it is continuously evolving and being improved. Associated industries cannot be expected to initiate, finance, take risks, and take the lead in this global societal transformation without clear and strong political support.

Study on the structural characteristics of China's high-speed railway network and its coordination with economic growth based on Fractal theory

As one of the modern transportation modes, the high-speed railway network system has been a robust part of the comprehensive transportation system in China. An important topic emerges the exploration and optimization of its structural organization and coordinated relationship with the regional development, including urban form, land use, and economy. Therefore, supported by the integration of geographical information system (GIS) and fractal theory, this paper aims to carry out an investigation and discussion on the structural characteristics, including intensity (density), complexity, nonstationarity, and heterogeneity of the high-speed railway network in China (HSRNC) from the perspective of the whole country and specific regions, i.e., urban agglomerations. Moreover, based on the time-series data of network mileage expansion and economic output analysis, this study aims to evaluate and characterize the coordinated relationships between network development and economic growth in the context of the nationwide area and urban agglomerations. This study aims to explore and promote the spatial structural organization and morphology of the high-speed railway network in China, thus improving the coordinated development with the regional economic growth, for giving a new perspective to the future planning and evolution of the high-speed railway network in China.

Integrative omics analysis of Rosa chinensis reveals insights into its transcriptome and in silico characterization of potassium transport genes

Potassium is a monovalent cation with an osmotic activity in plants. It comprises 10 to 11% of plant dry weight and has crucial importance in the development and stress mechanism of plants. A well-studied system of K+ channels and transporters is involved in the regulation and transport of potassium from soil to different parts of plants. However, the knowledge of this system in ornamental plants especially in roses is limited. In current research, various omics approaches were utilized to characterize the K+ transport system in China rose (Rosa chinensis). Genomewide analysis revealed that a total of 32 genes were candidates for K+ channels (21) and transporters (11). Based on their conserved domain and motif, these genes were further classified into sub-families as K+ channels: 6 Shakers, 5 TPKs, and K+ transporters: 2 HKTs, 5 KEAs, and 14 KUP/HAK/KTs. Phylogenetic and evolutionary studies revealed that segmental duplication may play an important role in the expansion of this gene family. The cis-elements in promoter region showed that these K+ transport-related genes may be involved in response to various abiotic stresses. RNA-seq analysis and its validation through qRT-PCR showed that a channel gene RcAKT1.2 and two transporter genes RcKUP/HAK/KT11 and RcKUP/HAK/KT13 were potentially involved in the regulation of plant stress response. This research explains the valuable vision for functional assays of K+ transport system in China rose.

Using Radial Basis Function and Back Propagation to predicate fault in a railway dangerous goods transportation system considering the Markov Correction

Nowadays, we can obtain a huge amount of information and data of railway dangerous goods transportation system through various technical documents, accident reports, monitoring technologies etc. For the space composed of massive historical information and data, a data-driven fault predication approach that can better grasp some important local information while ignoring the negative impact of other data in the global might be practical. However, we have the following challenges: (i) How to reduce the impact of unimportant information on prediction results in advance? (ii) What kind of local approximation data-driven approach should be applied, and (iii) How to correct the results and improve the reliability and accuracy after fault predication based on the local approximation data-driven approach? In this paper, two data-driven approaches including Back Propagation with Markov Correction and Radial Basis Function with Markov Correction are proposed to predicate the fault in a railway dangerous goods transportation system. In order to solve challenge (i), we decompose the whole transportation process into multiple sub-processes based on Work Breakdown Structure with clear duration boundary on the time axis, and use Risk Breakdown Structure to detect the possible faults in each sub-process. In order to solve challenge (ii), we use and compare Back Propagation/Radial Basis Function with global approximation/local approximation and nonlinear prediction ability to learn and predicate the fault based on the collected historical data. In order to solve challenge (iii), we correct the prediction results with fluctuating deviation by using Markov Correction due to its non-aftereffect. Finally, a case study is conducted based on the collected historical fault data of railway dangerous goods transportation system in China. The results show that, for the prediction results based on Back Propagation, the average error increases from 1.43 to 1.88 and the Mean Square Error increases from 3.27 to 5.60 after Markov Correction. For the prediction results based on Radial Basis Function, the average error decreases from 1.13 to 1.11 and the Mean Square Error decreases from 1.81 to 1.76 after Markov Correction. The non-aftereffect of Markov chain well corresponds to the local approximation of Radial Basis Function. When the prediction value is determined by some data of the series, Radial Basis Function with Markov Correction can be applied. When the prediction value is determined by all the data (small-scale) of the series, Back Propagation with Markov Correction is better.

A hybrid approach for low-carbon transportation system analysis: integrating CRITIC-DEMATEL and deep learning features.

As supply chains, logistics, and transportation activities continue to play a significant role in China's economic and social developments, concerns around energy consumption and carbon emissions are becoming increasingly prevalent. In light of sustainable development goals and the trend toward sustainable or green transportation, there is a need to minimize the environmental impact of these activities. To address this need, the government of China has made efforts to promote low-carbon transportation systems. This study aims to assess the development of low-carbon transportation systems in a case study in China using a hybrid approach based on the Criteria Importance Through Intercriteria Correlation (CRITIC), Decision-Making Trial and Evaluation Laboratory (DEMATEL) and deep learning features. The proposed method provides an accurate quantitative assessment of low-carbon transportation development levels, identifies the key influencing factors, and sorts out the inner connection among the factors. The CRITIC weight matrix is used to obtain the weight ratio, reducing the subjective color of the DEMATEL method. The weighting results are then corrected using an artificial neural network to make the weighting more accurate and objective. To validate our hybrid method, a numerical example in China is applied, and sensitivity analysis is conducted to show the impact of our main parameters and analyze the efficiency of our hybrid method. Overall, the proposed approach offers a novel method for assessing low-carbon transportation development and identifying key factors in China. The results of this study can be used to inform policy and decision-making to promote sustainable transportation systems in China and beyond.

EKC hypothesis testing and environmental impacts of transportation infrastructure investments in China, Turkey, India, and Japan.

A key strategy for social development and sustainable urban expansion is building sustainable and affordable transport systems. In this study, we aim to test the validity of the environmental Kuznets curve (EKC) hypothesis and reveal the impact of infrastructure investment in transportation systems in China, Turkey, India, and Japan over the period 1995-2020 on environmental degradation. According to dynamic ordinary least squares (DOLS) method analysis, per capita GDP and per capita GDP3 have a significant positive impact on per capita CO2 emission, while per capita GDP2 has a significant adverse impact on per capita CO2 emission. These results confirm the validity of the N-shaped EKC assumption, while inconsistent with the results of the FMOLS technique, showing that per capita GDP is significantly positive, while per capita GDP2 and per capita GDP3 have a significant negative impact on per capita carbon emissions. Moreover, as clarified by the fully modified ordinary least squares (FMOLS) and DOLS methods, road infrastructure investment (RO), aviation infrastructure investment, trade openness, and foreign direct investment (FDI) have significant positive effects, while railway infrastructure investment (RA) has a significant negative effect on per capita carbon emission. Country-level estimates of per capita carbon emission-based DOLS strategies in the model show that only China and Japan have N-shaped EKC hypothesis. Road infrastructure investment, aviation infrastructure investment, and trade openness have significant positive effects, while railway infrastructure investment has a significant negative effect on per capita CO2 emission in selected central and east Asian countries. The latest electrified rail systems are well thought out and less polluting, so the contribution of rail infrastructure investment to the transport mix can support sustainable and safe transport systems at city center and intercity levels and reduce environmental pollution in central and east Asian countries. Moreover, the implementation of the basic environmental settings of trade agreements should be strengthened to condense the growing impact of free trade on environmental pollution.

Technological-economic assessment and optimization of hydrogen-based transportation systems in China: A life cycle perspective

Technological-economic assessment and optimization of hydrogen-based transportation systems in China: A life cycle perspective

Development Status and Problem of Intelligent Transportation System in China

With the rapid growth of China's population and urbanization, the need for urban transportation has surged. Effective technical support such as an intelligent transportation system (ITS) will be a traffic solution to avoid too much congestion. Effective ITS is supposed to provide protection for daily traffic operations, reduce traffic congestion, minimized environmental effects, energy conservation, and significantly improve the level of service. ITS is designed based on current traffic status to fit future urban development will be more and more important.

Debris Flow Susceptibility Assessment of Sichuan-Tibet Railway Based on GIS and CF-LR Coupling Model

Sichuan-Tibet Railway is an important transportation system in China, which is of great significance to promote the communication between Tibet and the mainland. This paper takes the lin-chang section of the Sichuan-Tibet railway with a width of 2km on both sides as the research area. The occurrence of debris flow must have appropriate solid source, water source and topographic conditions. In this paper, ten disaster-causing factors are selected, including relief degree of land surface, profile curvature, silty soil, distance to the rive, distance to the fault, elevation, slope aspect, NDVI, average annual rainfall and land utilization rate. The information of disaster-causing factors was extracted from Arcgis and evaluated by the certainty factor model. The probability of debris flow in the study area was calculated by the coupling model of binary Logistic regression model combined with certainty factor model. ROC curve analysis of the CF-LR model shows that AUC is 0.89, indicating that the model has a good effect. The distribution map of debris flow susceptibility in the study area was obtained by using grid calculator in GIS. The results show that under the CF-LR model, extremely low, low, medium and high prone areas cover 2547km₂, 235km₂, 246km₂ and 1099km₂ respectively, accounting for 61.72%, 5.69%, 5.96% and 26.63% of the total area of the study area, respectively. The high risk areas are mainly in Milin, Nyingchi and Bomi counties. This study provides an important reference for assessing the risk of debris flow geological disaster on Sichuan-Tibet Railway.

Energy and Environmental Efficiency Evaluation of Transportation Systems in China’s 255 Cities

China’s transportation sector suffers from excessive energy consumption and serious pollutant emissions. There is increasing pressure to improve energy and environmental efficiency (EEE). This paper researches the EEE of transportation systems in 255 Chinese cities from 2015 to 2019 with the assistance of the super-efficiency SBM model. Research results show that the five-year average EEE of the Chinese transportation system is 0.4420, indicating an overall low performance, with most regions still needing improvement. There are significant differences in the transportation system EEE between cities, with Guangzhou, Maoming, and Zhoushan ranking in the top three, and Heihe, Xining, and Taiyuan in the bottom. Cities with a better economic base, developed water systems and more relevant policy documents do better in energy use and environmental protection compared to other cities. Moreover, the development of the transportation systems is uneven, with noticeable regional differences. The general trend is that cities located in the eastern have better transportation systems EEE than cities in other economic zones. The findings should have a far-reaching impact on the sustainable development of cities. It also provides an essential reference for the research on EEE efficiency of transportation systems in China and other countries.

Prediction of Epidemic Transmission Path and Risk Management Method in Urban Subway

With the development of COVID-19, the epidemic prevention requirements of city subway system have become stricter. This study studies the transmission path of epidemic disease in city subway system. Using FLUENT software and AnyLogic software, the simulation models of subway platform ventilation structure and crowd behavior mode in subway system are constructed, respectively, and SEIR (vulnerable exposed affected recovered) is used as the general infection model of epidemic disease. According to the actual situation, the parameters such as shoulder width, flow, and moving speed of crowd are determined, and the simulation analysis of epidemic disease transmission in subway system is carried out. The analysis results show that the transmission speed of the disease in the subway will increase with the enhancement of the transmission capacity of the disease and the increase of the contact rate. When the disease transmission capacity is 0.14, the number of latent persons reaches the peak at 14.115 time units, which is 1374, and the number of patients reaches the peak at 28.541 time units, which is 1925. According to the simulation results, the simulation analysis results show that with the enhancement of disease transmission ability and the increase of exposure rate, the maximum number of latent and sick people in the subway environment will increase. The corresponding suggestions on risk management and control of infectious disease transmission in subway are put forward. The research results can provide a useful reference for the epidemic prevention management of urban subway transportation system in China.

Sustainability Measurement of Transportation Systems in China: A System-Based Bayesian Network Approach

Sustainability has been a challenging issue in the transportation industry, which necessitates obtaining a better measurement of transport sustainability performance. To appropriately measure performance, this paper presents a hybrid approach based on the hierarchical Bayesian network model (BNM) and Principal Component Analysis (PCA). The proposed BNM encompasses social, economic, environmental, and technological dimensions, where each dimension consists of various subdivisions. The Conditional Probability Table of the model is determined by PCA. Twenty-three sustainable transportation indicators involved in the different stages of traffic management are used to kick off the calculation and probability propagation. The results show that the overall transport sustainability of the selected cities is generally at a medium level, indicating that there is much room for further improvement. The sustainability-economic coupling analysis exhibits the nonlinear relationship between sustainability and economic level, revealing that economic growth does not necessarily lead to the enhancement of the transport sustainability. Additionally, the sensitivity analysis reveals that “Accessibility,” “Serviceability,” “Reliability,” and “Innovation” demonstrate an upward trend, indicating their great effect on transportation sustainability. Last, the policy implications of this study can not only offer a solution for the current needs of transportation systems but also serve as more transparent decision-making to develop a sustainable transportation system in the future.

Centralized carbon emission abatement (CEA) allocation based on non-separation using data envelopment analysis: an observation of regional highway transportation systems in China.

The allocation mechanism of carbon abatement quotas is a vital issue in the carbon emission abatement (CEA) for the environment and sustainability. The conventional CEA allocation focuses on the imposition of carbon quotas but hardly considers the techniques or mechanisms of abatement. The neglect of the abatement mechanisms may cause inapplicability and unavailability in the practical implementation of CEA allocation. To fill this gap, this paper firstly recognizes and distinguishes two kinds of non-separable relationships among energy inputs, capital investments, and carbon emission. Thereafter, three carbon abatement mechanisms are formed and defined. Then, three scenarios of carbon abatement, named managerial, technical, and hybrid scenarios, are constructed based on the carbon abatement mechanism, in which the carbon emission is, respectively, abated by reducing energy inputs and increasing capital investment and the hybrid measure of energy decrease and capital investment increase. With the developed carbon abatement mechanisms, a carbon abatement allocation application of the regional highway transportation systems in China is illustrated. It finds that the carbon abatement allocations based on the proposed carbon abatement mechanisms help to narrow the regional highway transportation system gaps in China, and the outputs perform the best under the managerial scenario. The Eastern bears more carbon abatement burdens than the Central and West under both managerial and technical scenarios. The Central and West can improve their outputs and bear more carbon abatement burden under hybrid scenarios. The central authority can choose the CEA technique and allocation scheme in line with its preference and observation.

China’s public transport in its present and future

The People’s Republic of China is the third largest country in the world in terms of territory, behind Russia and Canada, and the first in terms of population. China is a dynamically developing country, and its economy is growing at an annual rate. Public transport is crucial to the development of China’s economy, and especially railways. It is noted that the railways in China are one of the main components of the country’s economy. Statistical data on the public transport system in China are analyzed in this article. It considers types of public transport and reveals their crucial role in the economic and social life of the country. It analyses the dynamics of population growth in the country and development needs of passenger transport. The ways and means of modernizing existing transport structures and the rate of construction of new ones are considered. A comparative study of the length and density of roads and railways of two countries is made, the Russian Federation and China. The prospects for the development of public transport in the PRC are considered, and the main aspects of the government’s plans up to 2035, including the introduction of the latest technical and logistical developments in the field of public transport, are studied.

A SYSTEM DYNAMICS MODEL FOR URBAN TAXI PRICE SIMULATION

Urban taxi services have been developing year on year, playing an increasingly important role in the economy and the transportation markets of each city. This increases interest in measuring their performance. This paper analysed the relationship among the four stakeholders (including administrative department, operational companies, taxi drivers and customers) for urban taxi passenger transport system in China, and applied System Dynamics (SD) model to explore the dynamic characteristics of urban taxi price system. The main achievements of this paper are as follows, firstly, this paper adopted stakeholder mapping to describe the relationships among the four stakeholders. Then analysed the causal flow diagrams and the different variables of urban taxi passenger transport system operation, and presented the SD model, which considers factors that affect the taxi operation. With the combination of taxi operation data of Harbin city, we simulated eleven urban taxi operation scenarios and proposed kinds of suggestions to improve urban taxi passenger transport system operation, which can provide a good basis for recommending policy decisions for urban taxi market.

Asymmetric impacts of public service “transportation” on the environmental pollution in China

The quality of public service transportation highly depends on the country's context, including investment, infrastructure development, and technology-based innovation in the transport sector. The core innovation of the present study is the asymmetric impacts of the airline, railway, waterway, and road on environmental pollution in China. This research analyzed and highlighted the most susceptible transportation system in China, using the newly developed Non-linear Autoregressive Distributed Lag (NARDL) model from 1985 to 2018. The results of the NARDL are positive shock and negative shock between CO2 emission and four mode-specific transportation development that led to an increase in environmental cost in the short run. The study findings divulged that airline, road, and waterway operational mileage per capita of both positive and negative transportation shocks had worsened the environmental pollution in China. On the other hand, the railway is successfully improving environmental quality in China. In order to enforce policies, local authorities should be supportive of urban public services (e.g., buses and metro) and improve public transportation services. Simultaneously, policymakers may also introduce new creative ideas for a sharing economy, such as shared bicycles and automobiles to reduce the use of private vehicles. These insights of the study could assist policymakers to improve policies for the four specific modes of transportation to better adapt to climate change and associated environmental stressors in China.

Identifying the Weaker Function Links in the Hazardous Chemicals Road Transportation System in China.

Safety of the hazardous chemicals road transportation system (HCRTS) is an important, complex, social, and environmental sensitive problem. The complexity, dynamics, and multi-link features of HCRTS have made it necessary to think beyond traditional risk analysis methods. Based on the relevant literature, Functional Resonance Analysis Method (FRAM) is a relatively new systemic method for modeling and analyzing complex socio-technical systems. In this study, a methodology that integrates FRAM, fuzzy sets, and risk matrix is presented to quantitatively assess the risks factors representing failure function links in HCRTS. As the strength of function links can be illustrated by the RI (risk index) of risk factors identified in failure function links, 32 risk factors representing 12 failure function links were first identified by accident causes analysis and the framework of FRAM. Fuzzy sets were then utilized to calculate the weight of the likelihood and consequence of the risk factors. Finally, according to the assessment results of the identified risk factors by a two-dimensional risk matrix, the weaker function links in the whole HCRTS chain were identified. HCs road companies, regulatory authorities, relevant practitioners, and other stakeholders should pay more attention to these links.

Experimental study on evacuation behaviour of passengers in a high-deck coach: A Chinese case study

High-deck coaches form an essential component of mass transportation systems in China. Safe evacuation from high-deck coaches is facing dire challenges. However, evacuation behaviour from high-deck coaches has not been deeply understood yet. In this study, a novel conceptual framework is firstly proposed to capture the evacuation behaviour of coach passengers, and next based on which 22 full-scale experiments have been conducted to examine the effect of three selected factors: available exits, lighting conditions and age groups on the evacuation behaviour of Chinese passengers in a high-deck coach, in a systematic and quantitative way. Four performance indicators of evacuation behaviour, i.e., evacuation time, pre-evacuation time, flow rate and crowdedness, were collected and analysed. The results indicate that limited available exits and the dim lighting condition (less than 1 lux) significantly reduce the evacuation efficiency and increase the crowdedness within the aisle area regardless of the age groups. Compared to young students, the evacuation of middle-aged people is observed to have a significantly longer pre-evacuation time, lower evacuation efficiency, and higher level of crowdedness. In addition, young students’ pre-evacuation times are found to conform to the Weibull distribution, whereas middle-aged people’ pre-evacuation times could be modelled with the Loglogistic distribution. Empirical results of this study could be helpful for the improvement of the safety design of high-deck coaches, and provide valuable benchmarks for the development of coach evacuation behaviour and simulation models.

Cellular Automata Based Land-Use Change Simulation Considering Spatio-Temporal Influence Heterogeneity of Light Rail Transit Construction: A Case in Nanjing, China

Light rail transit (LRT), an essential urban public transport system in China, significantly reshaped the urban land-use (LU) pattern. Although the LRT impact and land-use change (LUC) analysis plays an essential role in urban planning policy, the spatiotemporal heterogeneity of LRT impacts have not been considered in LUC simulation studies. This study simulates the urban LU change, considering the spatiotemporal heterogeneity of LRT construction impacts on urban LUC. LUC from 1995 to 2005 in Nanjing, China, is chosen as a case study. At first, the distance decay function is employed to verify the quantitative impact of LRT construction on LU change. Accordingly, the variation trends of each LU type during different stages are described in time and space. A cellular automata model incorporated by the generated LRT impact is established and then implemented for simulation. According to model performance assessment results, the proposed model can produce a realistic urban pattern with Freedom of Movement (FoM) exceeding 24% and a significantly lower relative error than the CA simulation without considering LRT influence.