Transport

Rail freight accessibility of the Visegrád Group countries and Baltic States in the context of Eurasian rail transport system

Martyna Wilczewska — 2024-09-05

This study aimed to determine the level of infrastructure-based rail freight accessibility and rail freight performance of several Central and Eastern European (CEE) countries in the context of their presence in the Eurasian rail freight transport system. The study′s object was 7 CEE countries: Estonia, Lithuania, Latvia, Poland, Czechia, Slovakia and Hungary. The research methodology was based on the TOPSIS method supplemented with literature and statistical analyses. Several selected numerical indicators were considered to create 2 rankings that displayed the results achieved by countries in terms of accessibility and performance. Results showed that Czechia is the leader in infrastructure-based accessibility, with Latvia closing the ranking, and Lithuania is the leader in rail freight performance, with Hungary closing the ranking. Even though the study did not allow to confirm that a country′s rail freight accessibility affects its rail freight performance and vice versa, it can be assumed that both parameters are crucial in the context of the incoming modal shift to rail freight in Eurasia; therefore, they constitute a valuable research endeavour.

Sustainable mobility and electric vehicle adoption: a study on the impact of perceived benefits and risks

Bülent Yildiz — 2024-10-29

The shift towards sustainable transportation is becoming increasingly important as the negative impact of traditional fuel-powered vehicles on the environment becomes more evident. Electric Vehicles (EVs) are considered a viable solution to this problem, and understanding the factors that influence consumer intention to purchase EVs is crucial for their widespread adoption. This study investigates the factors that influence individuals’ intention to purchase EVs. 4 independent variables were considered: Perceived Environmental Benefit (PEB), Perceived Performance Benefit (PPB), Perceived Performance Risk (PPR), and Perceived Financial Risk (PFR). A survey was conducted with 398 respondents, and the data collected were analysed using Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modelling (SEM). The results indicate that PEB, PPB, PPR, and PFR have significant effects on Purchase Intention (PI). Specifically, PEB and PPB positively affect PI, while PPR and PFR negatively affect it. These findings suggest that improving the PEBs and PPBs of EVs and reducing perceived performance and financial risks could encourage more individuals to purchase them.

A three-stage heuristic for optimizing container relocations in maritime container terminals

Qianwen Zhu — 2024-10-29

The Container Relocation Problem (CRP) is one of the most important optimization problems in maritime container terminals. The objective is to minimize the number of relocation operations for retrieving containers in a sequence. If the container to be retrieved next is not at the top of a stack, unproductive relocations have to be carried out. Due to the large number of containers handled by busy terminals, a slight reduction in relocation rates can result in significant savings in operating costs. Most of the existing heuristics make relocation decisions for the blocking containers one by one, based on simple indicators. In this article, we propose a Three-Stage Heuristic (3SH) that extends the decision horizon to multiple containers to achieve a higher-quality solution. Computational experiments are conducted on 3 sets of benchmark instances, and the results show that the proposed heuristic outperforms the state-of-the-art heuristics documented in the research literature.

Subgrade performance assessment for rigid runway using long-term pavement performance database

Guo-Guang Liu — 2024-10-29

Maintaining desired subgrade performance is an effective way to reduce runway pavement deterioration. Due to lack of extensive field test data, life-cycle performance of runway subgrade has not been fully understood. In order to quantitatively estimate subgrade condition, a novel method of evaluating subgrade performance was developed and validated using the 726 sets of Heavy Weight Deflectometer (HWD) test data of ten runway sections. Statistical analysis demonstrates that the structural behaviour of rigid runway subgrade follows normal distribution in different service stages and can be efficiently evaluated by the subgrade performance index (ψ). The results of factor analysis show that Accumulated Air Traffic Volume (ATV) during service life is the major cause of spatial variations in subgrade condition. In the designed service period of runway, it validates that sea-reclaimed subgrade results in faster degradation in the initial stage of service life while thicker pavement exhibits better capability in protecting the subgrade soil in long-term view. Besides, the differences in applied loads and pavement thickness give rise to the subgrade performance variation in longitudinal direction. Meanwhile, the comparison between the main and the less trafficked test lines in transversal direction reveals that the aircraft impacts play a positive role in resisting the natural fatigue process. By the suggested method, subgrade performance of HWD test points can be categorized into 4 levels from “Excellent”, “Good”, “Fair” to “Poor” based on ψ value. It is helpful for airport agency to make scientific decisions on Maintenance and Rehabilitation (M&R) treatment by calculating the effective area of envelope (β) using the ratio of subgrade performance (η).