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Journal Name: Journal of Shandong Jiaotong University
Established Year: 1993
Competent Authority: Department of Education of Shandong Province
Sponsor Institution: Shandong Jiaotong University
Publication Frequency: Bimonthly
CN: 37-1398/U
ISSN: 1672-0032
Impacts of road network density and urban expansion extent on common prosperity level
WANG Guangpeng;LAI Fengbo;NIE Chenglong;LIANG Zihao;To analyze the influence of transportation infrastructure and urban spatial expansion on common prosperity, panel data for 31 provincial-level regions in China(provinces, autonomous regions, and municipalities) from 2011 to 2022 are used. Two-way fixed-effects and mediation models are employed, with the level of common prosperity as the dependent variable and road network density and the urban expansion extent as the key explanatory variables. The effects of road network density and urban expansion extent on common prosperity level and their regional heterogeneity are empirically examined, and the mediating role of urban expansion is investigated. The results indicate that both road network density and urban expansion extent exert significant positive impacts on common prosperity; there is pronounced regional heterogeneity in the effect of road network density, its coefficient is significantly negative in the eastern and northeastern regions(indicating an inhibitory effect), while significantly positive in the central and western regions(indicating a beneficial effect); urban expansion extent provides a partial mediating effect in the pathway through which road network density affects common prosperity level, accounting for 25% of the total effect, implying that road network density promotes common prosperity level both directly and indirectly via urban expansion. Policy recommendations include scientifically planning road network layouts to strengthen urban-rural factor flows, advancing new-type urbanization in a coordinated manner to unlock the spillover effects of urban expansion extent, and implementing differentiated transportation infrastructure strategies tailored to regional conditions, thereby fully leveraging the synergistic promotion of common prosperity by road network density and urban expansion.
Port cargo throughput forecasting based on the POA-CNN-BiGRU model
MA Zeqiu;ZHOU Zhaoxin;CHANG Yumiao;To accurately forecast port cargo throughput, a hybrid forecasting model is proposed that integrates the pelican optimization algorithm(POA) with a convolutional neural network-bidirectional gated recurrent unit(CNN-BiGRU), denoted as POA-CNN-BiGRU. POA is employed to adaptively search for key hyperparameters of the CNN-BiGRU model; the resulting optimal hyperparameter set is then used to train the CNN-BiGRU, after which the trained model is applied to forecast port cargo throughput. An empirical analysis is conducted using quarterly throughput data for Qingdao Port from 2001 to 2023. The results indicate that POA exhibits strong global search capability and rapid convergence during iterations. The POA-CNN-BiGRU model accurately captures the dynamic evolution of port cargo throughput, with predicted curves closely aligning with the actual series. Compared with BiGRU, CNN-BiGRU, and POA-CNN-BiLSTM models, POA-CNN-BiGRU achieves the smallest mean absolute percentage error, root mean squared error, and mean absolute error, and the highest goodness of fit. When applied to forecasting cargo throughput at Shanghai and Tianjin ports, the model maintains high accuracy and stable performance, demonstrating strong generalizability and robustness. Overall, the POA-CNN-BiGRU model effectively captures the characteristics of port cargo throughput, yielding small forecasting errors and high predictive accuracy.
Low-carbon logistics efficiency in the Yellow River Basin based on a three-stage DEA-Malmquist model
CAO Dehao;ZHANG Jingyi;LIU Huaqiong;To examine the spatiotemporal evolution of low carbon logistics efficiency in the Yellow River Basin, panel data for nine provinces and autonomous regions from 2013 to 2023 are employed. A three stage data envelopment analysis(DEA) model is used to measure low carbon logistics efficiency. A stochastic frontier analysis(SFA) model that incorporates environmental variables is constructed to remove the influence of external environmental factors and statistical noise, and the Malmquist index is applied to analyze efficiency from both static and dynamic perspectives. The results show that: 1) external environmental variables such as regional GDP per capita, the share of fiscal expenditure on the logistics industry, and the share of fiscal expenditure on energy conservation and environmental protection significantly affect low carbon logistics efficiency. After adjustment, the mean overall technical efficiency decreases from 0.899 to 0.838, the mean pure technical efficiency increases from 0.977 to 0.986, and the mean scale efficiency decreases from 0.922 to 0.850. With environmental interference removed, efficiency fluctuations across provinces become more realistic and better reflect true efficiency levels. 2) Low carbon logistics efficiency exhibits marked spatial differentiation. Inner Mongolia, Henan, Shandong, and Shanxi lie on the efficiency frontier both before and after adjustment, indicating limited susceptibility to external environmental factors; Ningxia, Shaanxi, and Gansu experience declines in efficiency after adjustment; Sichuan and Qinghai show increases after adjustment. 3) From 2013 to 2023, the total factor productivity index of the logistics sector in the Yellow River Basin shows an overall upward fluctuation. The increase in overall technical efficiency exceeds that of technological progress, with improvements in overall technical efficiency primarily driven by scale efficiency; the average annual growth of the pure technical efficiency index is relatively small. Based on these findings, Inner Mongolia, Henan, and Shandong should strengthen resource integration and technological innovation; Sichuan, Gansu, Shaanxi, and Shanxi should optimize input structures by category; Qinghai should focus on expanding effective scale and enhancing policy support.
Disruption risk identification and assessment in pharmaceutical supply chains based on a game theory-cloud model
ZHANG Jingzhuo;SHAO Huinan;LIU Huaqiong;To improve the accuracy of identifying and assessing disruption risk in pharmaceutical supply chains, risk factors are identified using the supply chain operations reference(SCOR) model and the 4M1E analysis method, forming an evaluation index system that includes five primary indicators and fifteen secondary indicators. A game theory-based combined weighting method is employed to derive optimal compromise weights between subjective and objective weights. A cloud model is introduced to compute the digital characteristics of the risk indicators and to generate a cloud map, and risk grades are determined through closeness analysis. A typical pharmaceutical enterprise is selected for an empirical study, and the proposed game theory-cloud model-based risk assessment approach is compared with the fuzzy comprehensive evaluation method. The results show that the numbers of indicators classified as low risk, relatively low risk, medium risk, relatively high risk, and high risk are 0, 1, 4, 7, and 3 respectively, with most indicators falling into the relatively high risk category, indicating that the overall risk level of the supply chain is relatively high. Distribution route planning indicator has the greatest closeness to the high risk grade, suggesting that firms should prioritize risk management in the logistics distribution stage. The main body of the comprehensive evaluation cloud lies near the relatively high risk standard cloud, with an expected value of 7.438 4, indicating that the overall disruption risk is relatively high. The game theory-cloud model approach and the fuzzy comprehensive evaluation method exhibit high consistency in the evaluation results for most indicators. The proposed game theory-cloud model demonstrates strong operability and good applicability in practice.
Improved social force model incorporating the pedestrian prediction mechanism
YU Ruijing;YANG Zonglin;CAO Fengping;To enhance the simulation accuracy of pedestrian-flow modeling in interactive scenarios, an improved social force model incorporating a pedestrian prediction mechanism is proposed on the basis of the traditional social force model. An anxiety factor is introduced to modify the desired speed, enabling it to vary dynamically with the distance to the target. To capture directional differences in interactions with surrounding pedestrians and obstacles, the acting direction of the psychological repulsive force is redesigned. A conflict prediction mechanism is established for pedestrian-pedestrian and pedestrian-static obstacle interactions. Multi-scenario simulations are conducted to validate the feasibility of the improved model. The results show that, in an opposite-direction walking scenario, the improved model shortens avoidance path length by 0.87 m and reduces travel time by 0.39 s relative to the traditional model; the turning trajectories during avoidance are smoother, effectively avoiding acute-angle turns and excessive lateral displacement present in the traditional model. In an evacuation scenario, the number of remaining evacuees at each time step is lower than under the traditional model, the complete evacuation time is shortened by about 8.0 s, and congestion near the exit is alleviated. In an overtaking scenario, the model reproduces the dynamic overtaking process arising from differences in desired speeds. The improved social force model can simulate typical phenomena such as head-on avoidance, crowd evacuation, and same-direction overtaking, aligns more closely with real pedestrian trajectories, significantly improves pedestrian throughput and evacuation efficiency, and exhibits good adaptability to complex scenarios.
Large span concrete filled steel tubular arch bridge nonlinear temperature field correction model research
Sun Yapeng;Song Jun;Pi Tao;Gong Guanhong;Liu Jinwen;Yu Xuelin;The solar radiation temperature field of the large-span steel-concrete-filled tubular(CFST) arch bridge in the subtropical strong radiation zone shows a significant nonlinear distribution. The current standard linear model has a large deviation from the actual measurement. Taking the Lijiang Special Bridge as the engineering background, through on-site long-term measurement, numerical fitting, and comparison analysis of standards, a nonlinear temperature field correction model was established. The results show that the maximum temperature on the steel pipe surface reaches 62.3 ℃ under extreme summer conditions, and the radial temperature difference is 29.3 ℃; the temperature decreases exponentially along the radial direction, with the attenuation coefficient α = 7.5; the current highway and railway standards underestimate the temperature difference and gradient; light-colored coatings and high thermal conductivity concrete can effectively weaken the temperature effect; sudden cooling due to heavy rain and the near-east-west orientation significantly amplify the risk of heat disasters. The research results can provide a basis for the temperature design of similar bridges in the strong radiation area.
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Paradigm deconstruction, scenario logic, and promotion strategies of low-altitude logistics
MEN Xiaoyun;WANG Baoyi;MA Xiao-nan;Low-altitude economy is a strategic emerging industry, and low-altitude logistics is an important part and key scenario of low-altitude economy, which plays a key role in promoting the development of lowaltitude economy. This paper studies the paradigm characteristics and scenario logic of low-altitude logistics,and puts forward the promotion strategy in combination with the development reality. The study believes that low-altitude logistics relies on low-altitude transportation, which is a new paradigm of three-dimensional transportation, and compared with traditional logistics methods such as highways and railways, low-altitude logistics has advantages and disadvantages. It shows unique advantages in terms of efficiency and cost, but at the same time, it also faces constraints such as technology and safety. This paper combines the comparative analysis of four traffic paradigms, such as low-altitude transportation and highway and railway, to analyze the characteristics of the new three-dimensional transportation paradigm of low-altitude logistics. The paper analyzes the application scenarios of low-altitude economy and low-altitude logistics such as operation, safety,and travel, as well as typical scenarios such as urban distribution and air taxis, and generally looks like lowaltitude logistics can solve many pain points of traditional logistics methods. The study proposes strategies to promote the development of low-altitude logistics, such as improving the basic guarantee for the development of low-altitude logistics, strengthening the breakthrough and application of key technologies of low-altitude logistics, optimizing the management mechanism of low-altitude airspace, and promoting the construction of industrial ecosystem.
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Intelligent compaction index of slag subgrade based on EDEM-RecurDyn co-simulation
KONG Shurong;YE Yali;HU Peng;CHEN Jiazhen;In order to improve the accuracy and stability of the compaction quality evaluation of slag subgrade and solve the limitation that the traditional intelligent compaction index is susceptible to the interference of construction parameters and filling characteristics under complex working conditions, the joint simulation method of discrete element and multi-body dynamics is used to reveal the influence of vibration frequency, amplitude and compaction times on the compaction index, and a new intelligent compaction evaluation index Slag Intelligent Compaction Value(SICV) is proposed. The results show that the optimal vibration compaction parameters of slag with stone content of 30 %, 50 % and 70 % are 30 Hz/1.24 mm, 33 Hz/1.86 mm and 35 Hz/1.86 mm, respectively. The influence of vibration frequency on compaction quality is more significant than that of amplitude, and the higher the stone content, the stronger the sensitivity of SICV to frequency change.With the increase of compaction times, SICV shows a three-stage change law of rapid rise, slow increase and steady state. Compared with the traditional index Compaction Meter Value(CMV), SICV has a more significant response to the change of vibration parameters and has stronger stability. The index is verified by a field compaction test. The results show that the variation law of SICV is highly consistent with the measured settlement and compaction degree, which can effectively reflect the dense state of slag roadbed, and verify the reliability and engineering applicability of the index. The SICV proposed in this paper is helpful to improve the intelligent compaction index system,provides a new scheme for the selection of compaction index, and has stronger applicability to the slag roadbed.
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Influence of solid waste particle angularity on skid resistance of icy and snowy pavements and its prediction model
ZHU Chuanyu;DING Yongling;LI Kangwen;LI Youkai;SUN Huadong;To clarify the relationship between the angularity parameters of different solid waste materials and the static and dynamic friction coefficients on icy and snowy road surfaces, Digital Image Processing is employed to extract particle angularity parameters of weathered sand, tailings sand, coal slag, and steel slag,including aspect ratio RAR, solidity S, circularity C, angularity index EAI, and fractal dimension nDf. The effects of these solid waste materials used as anti-skid aggregates on the static and dynamic friction coefficients of ice-snow pavements are investigated. The correlations between particle angularity parameters and friction coefficients are analyzed using gray entropy correlation analysis. On this basis, a BP neural network model is established to assist in the prediction of the friction coefficient. The results show that the aspect ratio RAR, angularity index EAI, and fractal dimension nDf of all solid waste particles increase with increasing particle size, whereas solidity S and circularity C decrease. Both static and dynamic friction coefficients show a trend of first increasing and then decreasing with particle size, with the optimal particle size range is 2.36–4.75 mm. Within this range, the static friction coefficients of steel slag, tailings sand, coal slag, and weathered sand are 0.51, 0.44, 0.59, and 0.47, respectively, while the corresponding dynamic friction coefficients are 0.45, 0.41, 0.50 and 0.42. The angularity index EAI and fractal dimension nDf show the highest correlations with both static and dynamic friction coefficients. Specifically, the correlation degrees of EAIwith static and dynamic friction coefficients are 0.776 and 0.742, respectively, while those of nDf are 0.745 and 0.705, respectively. For the test set, the R2 values of the static friction coefficient models range from 0.901 to 0.963, whereas those of the dynamic friction coefficient models range from 0.837 to0.909.
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Evolutionary analysis of collaborative operations in third-party overseas warehouses under the new productivity paradigm
DENG Lin;FU Yaqin;Effectively grasping the collaborative operation mechanism between third-party overseas warehouses and relevant subjects in cross-border supply chains, and deeply analyzing the influence of different factors on the decision-making behavior of game subjects, is of vital importance for promoting the prosperity of cross-border e-commerce, optimizing the cross-border logistics system, and accelerating the development of new quality productivity in foreign trade. Therefore, by constructing a three-party evolutionary game model involving cross-border e-commerce platforms, third-party overseas warehouses,and merchants, this paper analyzes the stability of each subject's strategy and the evolutionary game path,and further explores the influence of key factors on the evolutionary results through numerical simulation.The analysis results show that the punishment for complaints, adjudication compensation, and platform incentives have a positive effect on the system's evolution towards a positive direction; the punishment for complaints and adjudication compensation can effectively restrain the negative strategy behavior of third-party overseas warehouse logistics parties, and if the punishment for complaints exceeds a certain threshold, it will increase the burden of the e-commerce platform; when the e-commerce platform actively regulates, it will promote the system's evolution towards a positive direction more significantly.
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The Analysis of Psychology Factor's Effects on Decision of Selecting Traffic Mode
LI Lin-bo,WU Bing (School of Transportation Engineering,Tongji University,Shanghai,200092,China)During the decision process of selecting traffic mode to go out ,the user decided to select traffic mode in consider of time,fees,condition and accessible traffic tools.It is great important to know the user's psychology posture in the process of selecting the traffic tool when the public traffic has been advocated.This paper brings up the concept of psychology travel time and has a analysis of psychology affect in selecting traffic mode by quantifying the process and points out several questions appearing out of the development of public traffic.
On Computing Method of Economic Hinterlands in Shandong Harbours
XU Yun-fei(Shandong Institution of Transportation Science,Jinan,250031,China)This article presents an approach to calculating the economic hinterlands in coastal harbours by using the combination of the O-D logistics and the graphic demonstrations,computes the economic hinterlands in all the harbours of Shandong province,predicts the handling capacity of all the harbours and contrasts with the real handling capacity. It also proposes the computing method of the shortest distance of the blend route of the highway and the railway and the optimum method of the layout of the complicated nonlinear network cargoes.
Study on Nested Logit Model for Transport Mode Split and Its Solution
ZHOU Jian~1,WANG Shu-sheng~2,SUI Shui-xian~1(1.Bureau of Construction,Zaozhuang,27700,China;2.ITS Research Center,Southeast University,Nanjing,210096,China)The Nested Logit model(NL model) is a improvement model based on the Multinomial Logit model(MNL),it takes the relevance among all the alternatives into account,and classifies the similar alternatives,so that this(model) is more practical,which at the same time makes the model and algorithm complex and difficult to be widely used.Through the analysis of the internal relation between the two models,this paper proposes a method of solving nested Logit model.This method is direct,easy to operate.Also It illustrates its calculation process with an(example).
Influence of Transport on Tourism and Future Development Countermeasures
MEI Qing,WANG Yu-Qian (College of Tourism, Jinan University, Jinan, 250002, China)Design of Cooperative Vehicle-Infrastructure System Based on Mobility Internet Technologies
CAI Zhi-li,SUN Feng-rui,WEI Ling-xiang,WANG Nan (School of Transportation and Logistics Engineering,Shandong Jiaotong University,Jinan 250012,China)With the overall analysis of the system function,a kind of cooperative vehicle-infrastructure system with sensing function is designed based on the technology of internet of vehicles.The physical architecture and the logical frame of the system are constructed with the emphasis on the sub-system composition and function.And the key technologies of the intelligent perception,cooperative vehicle-infrastructure communication and intelligence information processing are analyzed in the system.The research shows that the system can sense and collect information of vehicles,road environment and the traffic conditions timely and accurately.Thus,the data transmission among vehicles,roads and monitoring center is achieved effectively.And the comprehensive analyses,quick judgments of the traffic conditions are realized and the excellent traffic comprehensive service is offered.
Overview of target detection methods for autonomous vehicles
LI Aijuan;GONG Chunpeng;HUANG Xin;CAO Jiaping;LIU Gang;Target detection is an important research content for environment perception of autonomous vehicles. Some literature from domestic and foreign researchers is synthesized to classify target detection methods based on the number and types of sensors used for target detection. The characteristics and research status of each target detection method are summarized and analyzed, and the future development directions of target detection methods for autonomous vehicles are looked forward to, including lightweight on-board applications based on vision detection methods, data fusion technology with three and more sensors, and the applications of multi-sensor information fusion in small target, cluster target detection and target detection under complex and harsh environments.
Analysis of development trend of domestic bus sales based on EViews
WANG Yanjie;HAN Guangde;YAN An;WANG Guotai;This paper analyzes the influencing factors of bus sales, in which bus sales are taken as dependent variables and influencing factors as independent variables. A multi-regression mathematical model is established based on EViews software.Through the gradual regression method to overcome the multi-collinearity of the model, the regression equation is verified for the correlation and examples.The study shows that bus sales are positively correlated with the rail transit passenger volume and negatively related to GDP.
Design of Cooperative Vehicle-Infrastructure System Based on Mobility Internet Technologies
CAI Zhi-li,SUN Feng-rui,WEI Ling-xiang,WANG Nan (School of Transportation and Logistics Engineering,Shandong Jiaotong University,Jinan 250012,China)With the overall analysis of the system function,a kind of cooperative vehicle-infrastructure system with sensing function is designed based on the technology of internet of vehicles.The physical architecture and the logical frame of the system are constructed with the emphasis on the sub-system composition and function.And the key technologies of the intelligent perception,cooperative vehicle-infrastructure communication and intelligence information processing are analyzed in the system.The research shows that the system can sense and collect information of vehicles,road environment and the traffic conditions timely and accurately.Thus,the data transmission among vehicles,roads and monitoring center is achieved effectively.And the comprehensive analyses,quick judgments of the traffic conditions are realized and the excellent traffic comprehensive service is offered.
Influence of Transport on Tourism and Future Development Countermeasures
MEI Qing,WANG Yu-Qian (College of Tourism, Jinan University, Jinan, 250002, China)The Developmental Problem and Direction of Tourist Transport
YU Xing-xing Department of Foreign Languages,Shandong Jiaotong University,Jinan,250023,ChinaThe tourist transport is a very important part of tourism.On the basis of analyzing the research status of China′s tourist transport,this article puts forward that the tourist transport refers to all the essential factors of "traveling" needs which result from satisfying tourists′ implementation of tourist activities,including three types of transport: the transport from the tourist source place to the destination,transport between tourist scenic spots and transport within the scenery,its particularity consisting in the tourist functions of transport.Also it analyzes the present situation and problems of tourist transport and discusses the developmental direction of tourist transport.
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Journal of Shandong Jiaotong University selected into the list of Top 100 Sci-Tech Journals in the 2026 Demonstration Case Repository for the Construction of University Sci-Tech Journals in East China
Journal of Shandong Jiaotong University selected as a Chinese Applied Extended Journal
Journal of Shandong Jiaotong University Included in EBSCO Academic Database
Journal of Shandong Jiaotong University Selected into the Graded Catalogue of High-Quality Sci-Tech Journals in Highway Transportation Field
Journal of Shandong Jiaotong University Awarded Excellent Sci-Tech Journal in Editing and Publishing Quality of Chinese Universities in 2018
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