This research presents an overview of transportation mode choice, emphasizing key influencing factors and a range of methodological approaches from traditional Random Utility Theory (RUT) models to modern Machine Learning (ML) techniques. A comprehensive review covered 875 papers, which were screened for relevance. The search was conducted on ScienceDirect and Google Scholar between October and November 2024 using the keywords transport and choice model. Search results were reviewed until several consecutive entries no longer contained content relevant to the topic. After the screening and exclusion process, 106 papers remained for analysis. The review reveals that the Multinomial Logit (MNL) model remains the most widely used approach for modeling transportation mode choice, despite a growing interest in ML methods. Cars and buses dominate in passenger transport studies, while trucks, trains, and ships are most common in freight research. Data is typically collected through surveys (for passenger transport) and interviews (for freight), though some studies use secondary sources. Geographically, Asia and Europe are most represented, with regions like South America underrepresented. Travel time and cost are key variables, with increasing attention to the built environment in passenger studies and service reliability in freight studies. Overall, most studies aim to address real-world transport challenges. The review highlights the persistent gap between theoretical advancements and real-world applicability. To support this analysis, it examines the specific research objectives and findings of each study.

Retail supply chains operate in a constantly changing environment and need to adapt to different situations in order to increase their reliability, flexibility and convenience. Holding and transportation costs can amount to up to 40 per cent of the product value, so that the proper coordination of interrelated activities plays an essential role when managing retail flows. In order to provide a relevant model we first focus on future demand satisfaction, whereas pricing policies, perishability factors, etc., are subjected to a complementary model for operative planning. The idea is to obtain a preferable distribution plan with minimal expected distribution costs, as well as minimal supply risks. The used methodology produces a set of solutions and quality estimates which can be used in order to find a desired distribution plan which is near-optimal. While considering stochasticity on the demand side, a multi-objective optimisation approach is introduced to cope with the minimisation of transport and warehouse costs, the minimisation of overstocking effects and the maximisation of customer’s service level. The optimisation problem that arises is a computationally hard problem. A computational experiment has shown that the version of the problem where the weighted sum of costs is minimised can be handled sufficiently well by some well-known simple heuristics.

Retail supply chains are very sensitive by their nature and need to adapt to several situations with the aim to increase their reliability, flexibility and convenience. There are many factors affecting the effectiveness of a distribution...

In the paper, we consider a well-known port choice problem. By applying Mixed Integer Linear Programing (MILP), the relevant importance of the decision factors is presented. The importance of the decision factors was analysed by several cases. First of all, the ports within a narrow region were taken into consideration, and afterwards the ports from different multiport regions were compared. In the first case, the distance between ports has small effect on the choices made by the decision makers, while in the second one, the distances and consequently both the land transport and subjective decision factors play an important role within the decision making process. The analysis therefore indicates that decision factors do not have equal importance, but depend on the problem perspective.

Debate regarding the use of airplanes or high-speed trains in middle-distance passenger transportation has evolved into a strong field of research. With the aim to mitigate the environmental footprint of air travel, the European Union’s initiatives are focused on redirecting passengers from airplanes to high-speed trains. This shift is hampered by significant variations in train accessibility across Europe. Using Sweden as an example, we tested the break-even distance and evaluated the findings from both a time-efficiency perspective and a sustainability perspective. Airplanes hold the upper hand on high-speed trains in middle-distance passenger transportation from the time perspective. This perspective provides us with a clear answer, but if we consider the sustainability perspective, it may affect the results. The results indicate that the presented proof of concept makes sense and can be easily adapted to any decision-making process regarding the choice of the preferable transportation mode, although the procedure is extremely time consuming. For policymakers, this proof of concept can represent a priceless tool because the resulting figures carry valuable information about (under)developed and (less-)integrated transportation modes in commuting and transportation systems.

Publikacija predstavlja zbirko izbranih seminarskih in raziskovalnih nalog s področja napovedovanja povpraševanja in vodenja zalog. Obravnava praktične primere iz spletne prodaje, proizvodnje, vzdrževanja železniške infrastrukture, maloprodaje in distribucije, pri katerih so za napovedovanje uporabljene metode časovnih vrst, kot so drseče povprečje, eksponentno glajenje in linearna regresija. Poseben poudarek je namenjen povezavi med kakovostjo napovedi in odločitvami o upravljanju zalog, določanju optimalnih količin naročanja, varnostnih zalog ter točk ponovnega naročanja. Zaključni primer prikazuje tudi praktično uvedbo digitalnega orodja za avtomatizirano upravljanje zalog v distribucijskem podjetju. Namen publikacije je predstaviti uporabnost analitičnih metod pri zmanjševanju negotovosti, izboljšanju razpoložljivosti izdelkov, optimizaciji zalog in podpori odločanju v sodobnih logističnih in oskrbovalnih sistemih.