Improving the Operational Efficiency of Road Transport

Construction of a Competence Model for Road Transport Dispatchers from the Perspective of the Low-altitude Economy and Analysis of Job Transformation Pathways

With the implementation of the national low-altitude economy strategy and the continuous rollout of pilot programs for integrated air-ground transportation and logistics systems, the operational scope of traditional road transport dispatching positions is expanding into the low-altitude domain. Based on the professional requirements for road transport dispatchers, this paper integrates the SF Express air-ground collaborative freight transportation standards, as well as real-world operational cases from Shenyang Tianxing Passenger Transport Company and the passenger transportation requirements of the Liaoning Provincial Rapid Bus Station, to analyze the changes in job responsibilities brought about by the low-altitude economy. The paper constructs a four-dimensional competency model, examines the practical challenges encountered during the current position transformation process, and proposes optimization pathways for this transition across four dimensions—individual, enterprise, educational institution, and industry—providing valuable references for the cultivation of talent in transportation-related higher vocational programs and the enhancement of professional competencies among practitioners.

Environmental Assessment of Intelligent Logistics Automation

Currently, with the development of intelligent logistics automation, lower operating costs and higher service reliability are increasingly associated with it. However, its net environmental impact remains uncertain because improvements in physical efficiency can be affected by computing energy consumption, equipment turnover, battery production, and demand rebound. Therefore, this paper constructs a lifecycle-oriented framework for evaluating automated transportation, warehousing, packaging, and digital infrastructure. This framework integrates findings from research in logistics, mobility, edge computing, and organization, and combines transparent index equations with reproducible example scenarios. Analysis shows that adaptive route planning, regional resource coordination, energy-saving control, and circular material management can reduce the intensity of environmental impact to some extent, but the results largely depend on system boundaries, power structure, utilization, service commitment, and equipment lifespan. Therefore, cross-domain evidence is considered as methodological guidance rather than direct logistics evidence. The final framework integrates environmental benefits, cost, service quality, and resilience as common constraints.

Operational efficiency of cargo vehicles in terms of energy and environmental criteria

Abstract Rising fuel costs, stricter decarbonisation requirements for freight transport, and the increasing use of telematics monitoring call for a shift from assessing freight vehicles solely based on average fuel consumption to a mode-specific assessment of their performance on specific routes. The purpose of the study was to substantiate and formalise the model of operational efficiency of vehicles of category N3, which combines fuel, environmental, route, regime, and information indicators. The source base was formed from peer-reviewed publications from 2020-2025, selected based on direct relevance to heavy trucks, real route conditions, telematics or on-board data, eco-management, and emissions. System, comparative, and structural and functional analysis, formalisation of indicators, and scenario modelling were applied. The information of the smart tachograph, Global Positioning System-telematics, Controller Area Network/Fleet Management System/On-Board Diagnostics and fuel sensors was differentiated; equations for fuel consumption per 100 km and tonne-kilometre, weight CO₂, idle and Eco-Roll fractions, average acceleration, speed stability, and integral index were proposed. An analysis of the factors showed that the route and the weight of the road train determine the base load, whilst the most readily controllable factors are the duration of idling, the frequency of acceleration, speed stability, the use of coasting, and the carrier’s organisational decisions. Practical operation of the model was demonstrated on a conditional 100-kilometre route of a road train with a gross weight of 36 tonnes with a load of 20 tonnes. Reducing idle speed from 24 to 12 minutes, forming an Eco-Roll share of 6.9% of driving time, and speed stabilisation reduced estimated fuel consumption from 32.4 to 31.1 litres, and direct CO₂ emissions from 85.54 to 82.10 kg; the integral index increased from 0.804 to 0.933. The above scenario is a demonstration scenario and requires further verification based on actual route data. The practical value lies in the ability to use the model to compare trips, identify the causes of cost overruns, and provide recommendations to the driver and dispatcher under specific route and operational conditions Keywords:

to create a competitive environment in the area of operational maintenance of roads

Fundamentals of loss management in transport and logistics systems for the delivery of perishable agricultural products

Subject. Management of losses of perishable agricultural products in transport and logistics systems at the stages of transportation, warehousing and retail sale, including technical, organizational, infrastructural, market, regulatory and informational factors. Objectives. Identification of key factors of losses of perishable products in transport and logistics systems and development of a set of measures to minimize them based on the systematization of causes, quantification of losses and analysis of the effectiveness of technological and cooperative solutions. Methods. The research is based on the methods of systematic and comparative analysis, classification, theoretical generalization and synthesis. The empirical base consists of data from Russian and foreign studies, industry reports and practical cases, as well as a generalization of experience in managing cold supply chains. Results. Loss factors are systematized by temperature, technical, organizational, infrastructural, market, regulatory, and information categories. A quantitative assessment of losses at the stages of post-harvest storage, transportation, warehousing, and delivery to retail (and retail sales) has been performed. The effectiveness of technological solutions is analyzed: IoT monitoring (reduction of losses by 15-20%), AI routers (fuel savings of 20%, acceleration of delivery by 25%), crowdsourcing platforms (reduction of logistics costs by 25%), digital twins (reduction of spoilage risks), vacuum packaging (increase in shelf life by 1.5-2 times). The role of cooperative models is substantiated. Conclusions. Loss management requires a comprehensive approach that integrates technical modernization, digital transformation, development of cooperation and improvement of the regulatory framework. The practical significance of the work lies in the possibility of proposed solutions to reduce losses in agri-food supply chains.

Foreign experiences in organizing container trains and improving terminal operations