1. Pathways to Alternative Transport Mode Choices among University Students and Staff—Commuting to the University of Maribor since 2010Branka Trček, Beno Mesarec, 2022, original scientific article Abstract: The study of commuting behavior at the University of Maribor (UM) was the subject of our
research, which focused on the building complex of the four technical faculties (BCTF) and was based
on the analysis of two questionnaire surveys (with 1057 and 462 respondents, respectively) and the
transport policies implemented at the study site from 2010 to 2020. The research aimed to identify the
factors influencing student and staff mode choice/shift over a decade period and to understand the
weaknesses, strengths, and opportunities for improving sustainable mobility at the university. Since
2010, active commuting has predominated among students, while car use has decreased by 22%.
Female students were 16% more likely to walk than their peers, while male students were 5% and
12% more likely to use bicycles and cars, respectively. Active commuting and car use by staff have
not changed since 2010, and there was an insignificant difference between genders, 63% of whom
used cars. Mode shifts were primarily related to trip origins, subsidization of bus use, availability or
unavailability of free parking, and parking fees. Questionnaire responses were a powerful tool for
finding the most effective interventions to manage transport at universities. The results also suggest
that transport policies can be more effective if they are planned in coordination with housing policies.
Keywords: sustainable commuting, travel behavior, modal choice, active transport, effective interventions, transport demand management, university
Published in DKUM: 14.03.2025; Views: 0; Downloads: 1
 Full text (1,71 MB)
This document has many files! More... |
2. The analysis of the effects of a fare free public transport travel demand based on e-ticketingDanijel Hojski, David Hazemali, Marjan Lep, 2022, original scientific article Abstract: The traditional approach in public transport planning was to collect travel demand data for a more extended period and compose timetables to serve this demand. There are two significant identifiable issues. In the rural areas and off-peak hours, public transport operators provide much more capacities than needed. On the other hand, more capacities than scheduled are needed on certain lines at certain departures on some sporadically occurring occasions. The problem is how to react to short-term changes (daily) triggered by exceptional circumstances and events and midterm changes (weekly, monthly basis) in travel demand. We can trigger changes in travel demand chiefly by introducing a desirable (almost for free) tariff system applied to specific populations. No long-term travel response data exists for this kind of intervention, but an immediate response in public transport supply is needed. In Slovenia, public transport for free for the whole population over 65 years was introduced. With the modern ticketing system, which was designed to be as simple as possible for users (that means "check-in only" at the moment of boarding), the research task was to analyze the travel behavior of the retired population, faced with a new attractive option to travel, based on data of purchased tickets and their afterward validation, for better mid-and long-term planning. Our study finds that ITS technology (in this case, e-ticketing system) can satisfactorily solve the discussed planning and management task.
Keywords: fare-free public transport, smart card data collecting, population mobility, travel demand
Published in DKUM: 13.03.2025; Views: 0; Downloads: 1
Full text (2,11 MB)
This document has many files! More... |
3. |
4. Assessment of Dangerous Goods Transport: Case Western Balkan CountriesMarko Renčelj, Osman Lindov, Miloš Pljakić, Drago Sever, 2025, original scientific article Abstract: The transportation of dangerous goods (TDG) is a critical component of economic systems, especially in regions such as the Western Balkans (WB), where infrastructure and regulatory frameworks face significant challenges. This study assesses the current state of transportation of dangerous goods in Albania, Montenegro, Bosnia and Herzegovina, and Kosovo*, focusing on the alignment of national regulations with international standards such as the ADR agreement. Using a structured questionnaire distributed to 847 stakeholders, key barriers are identified, including inadequate infrastructure, insufficient training, limited oversight and low public awareness. Statistical analyses, including paired t-tests, reveal significant differences in perceptions across the countries surveyed, indicating inequalities in implementation and enforcement. Despite these challenges, there are opportunities to close gaps through targeted investments in infrastructure, increased training programs, stricter compliance and regional cooperation. The findings underscore the need for comprehensive data collection systems and advanced risk assessment tools to improve safety and efficiency. This study contributes to a deeper understanding of TDG issues in the WB countries and provides actionable recommendations for policy makers and practitioners to promote safer and more sustainable practices. The region can improve its TDG framework by addressing these challenges and ensuring economic growth and public safety while minimizing environmental risks.
Keywords: transport of dangerous goods, transportation, dangerous goods transport, risk assessment, ADR standards compliance, Western Balkan countries, sustainable transportation
Published in DKUM: 03.03.2025; Views: 0; Downloads: 4
Full text (1,22 MB)
This document has many files! More... |
5. Predicting the probability of cargo theft for individual cases in railway transportLorenc Augustyn, Małgorzata Kuźnar, Tone Lerher, Maciej Szkoda, 2020, original scientific article Abstract: In the heavy industry, the value of cargo transported by rail is very high. Due to high value, poor security and volume of rail transport, the theft cases are often. The main problem of securing rail transport is predicting the location of a high probability of risk. Because of this,the aim of the presented research was to predict the highest probability of rail cargo theft for areas. It is important to prevent theft cases by better securing the railway lines. To solve that problem the authors' model was developed. The model uses information about past transport cases for the learning process of Artificial Neural Networks (ANN) and Machine Learning (ML).The ANN predicted the probability for 94.7% of the cases of theft and the Machine Learning identified 100% of the cases. This method can be used to develop a support system for securing the rail infrastructure.
Keywords: rail transport security, supply chain disruption, drones, security support systems, cargo theft, predicting, logistics, artificial neural network, drone monitoring, machine learning
Published in DKUM: 28.01.2025; Views: 0; Downloads: 4
Full text (1,93 MB)
This document has many files! More... |
6. Factors influencing the purchase intention of autonomous carsDarja Topolšek, Dario Babić, Darko Babić, Tina Cvahte Ojsteršek, 2020, original scientific article Abstract: Even though autonomous cars have not yet crossed into the mainstream car market, their adoption seems inevitable, but not much is known about the purchasing intention of ACs and potential influences on it. To better understand the influences of various factors on purchasing intentions of autonomous cars, research using bibliometrics, an online survey and SEM modelling was performed. Based on an analysis of previous research work and the unified theory of acceptance of technology, an empirical model was produced and tested using data obtained from an online survey involving 266 individuals. The goal was to analyse which characteristics of autonomous cars, socio-demographic variables of potential buyers, and buyers' personal and social characteristics could potentially influence the adoption of autonomous cars. The results show that factors of car safety, buyer age and level of education, perceived social influence, anxiety and performance expectancy are significantly correlated to purchasing intention of ACs, while correlations with other factors to purchasing intentions have not been proven.
Keywords: autonomous cars, purchase intention, autonomous car adoption, SEM modelling, road transport, logistics
Published in DKUM: 24.12.2024; Views: 0; Downloads: 7
Full text (2,06 MB)
This document has many files! More... |
7. Factors of digital transformation in the maritime transport sectorMarija Jović, Edvard Tijan, Doroteja Vidmar, Andreja Pucihar, 2022, original scientific article Abstract: This paper aims to present the model of factors which influence the digital transformation in maritime transport sector. The preliminary model is based on a literature review and interviews conducted to identify the relevant factors influencing the digital transformation of stakeholders operating in the maritime transport sector. In order to test the model, the survey was conducted on the sample of Croatian administrative (port authorities, ministry, harbormaster’s offices, etc.) and commercial stakeholders (freight forwarders, agents, terminal operators, etc.) operating in maritime transport sector. The collected data was analyzed using the partial least squares structural equation modeling (PLS-SEM) approach. The research has shown that organizational, technological, and environmental (TOE) factors affect the digitalization of the organizations in the maritime transport sector. As a result of digitalization, changes in business models are visible: organizations in maritime transport sector generate additional revenue from new sources, provide new services, and introduce new sales channels.
Keywords: digital transformation, maritime transport sector, seaports, TOE factors, PLS-SEM
Published in DKUM: 16.12.2024; Views: 0; Downloads: 4
Full text (588,07 KB)
This document has many files! More... |
8. Oskrbovalne verige in načrtovanje logistikeDavor Dujak, Adam Kolinski, Josip Mesarić, 2020, reviewed university, higher education or higher vocational education textbook Keywords: oskrbovalne verige, upravljanje, načrtovanje, transport, logistika, visokošolski učbeniki
Published in DKUM: 13.12.2024; Views: 0; Downloads: 32
Full text (9,23 MB)
This document has many files! More... |
9. |
10. Spatial modelling of the transport mode choice : application on the Vienna transport networkSimona Šinko, Bojan Rupnik, Klemen Prah, Tomaž Kramberger, 2021, original scientific article Abstract: A new approach for spatial modelling of transport mode choice is presented in the paper. The approach tackles the problem by considering the trade-off between subjective and objective factors. To obtain mode Preference Rates (PRs) based on subjective factors, the Analytic Hierarchy Process (AHP) method is applied. The objective factors are expressed with the journey time from any point in the map to destination according to the available transport mode choice on the specific connection. The results are presented as PRs of individual transport modes. The model is validated on the con-ducted the survey, with students of Vienna University of Economics and Business (WU) as a target audience. Members of different target groups (age, national, employment) decide differently regarding the transport choice, so it is better to analyse them separately. The presented model can be used for the city transport planning in any urban area. It can help promote the sustainable modes of transport in the areas that are less adjusted in sustainable manner.
Keywords: transport mode choice, passenger transport, spatial modelling, city transport planning, city mobility, urban logistics, ergonomics, AHP, decision-making policy, GIS, students, objective and subjective factors, transport management
Published in DKUM: 10.12.2024; Views: 0; Downloads: 7
Full text (783,33 KB)
This document has many files! More... |
