1. Pathways to Alternative Transport Mode Choices among University Students and Staff—Commuting to the University of Maribor since 2010Branka Trček, Beno Mesarec, 2022, izvirni znanstveni članek Opis: 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.
Ključne besede: sustainable commuting, travel behavior, modal choice, active transport, effective interventions, transport demand management, university
Objavljeno v DKUM: 14.03.2025; Ogledov: 0; Prenosov: 1
 Celotno besedilo (1,71 MB)
Gradivo ima več datotek! Več... |
2. The analysis of the effects of a fare free public transport travel demand based on e-ticketingDanijel Hojski, David Hazemali, Marjan Lep, 2022, izvirni znanstveni članek Opis: 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.
Ključne besede: fare-free public transport, smart card data collecting, population mobility, travel demand
Objavljeno v DKUM: 13.03.2025; Ogledov: 0; Prenosov: 1
Celotno besedilo (2,11 MB)
Gradivo ima več datotek! Več... |
3. Wearable online freezing of gait detection and cueing systemJan Slemenšek, Jelka Geršak, Božidar Bratina, Vesna M. Van Midden, Zvezdan Pirtošek, Riko Šafarič, 2024, izvirni znanstveni članek Opis: This paper presents a real-time wearable system designed to assist Parkinson’s disease patients experiencing freezing of gait episodes. The system utilizes advanced machine learning models, including convolutional and recurrent neural networks, enhanced with past sample data preprocessing to achieve high accuracy, efficiency, and robustness. By continuously monitoring gait patterns, the system provides timely interventions, improving mobility and reducing the impact of freezing episodes. This paper explores the implementation of a CNN+RNN+PS machine learning model on a microcontroller-based device. The device operates at a real-time processing rate of 40 Hz and is deployed in practical settings to provide ‘on demand’ vibratory stimulation to patients. This paper examines the system’s ability to operate with minimal latency, achieving an average detection delay of just 261 milliseconds and a freezing of gait detection accuracy of 95.1%. While patients received on-demand stimulation, the system’s effectiveness was assessed by decreasing the average duration of freezing of gait episodes by 45%. These preliminarily results underscore the potential of personalized, real-time feedback systems in enhancing the quality of life and rehabilitation outcomes for patients with movement disorders.
Ključne besede: Parkinson’s disease, freezing of gait, machine learning, real-time systems, wearable devices, on-demand stimulation
Objavljeno v DKUM: 31.01.2025; Ogledov: 0; Prenosov: 4
Celotno besedilo (6,29 MB) |
4. Bike sharing and cable car demand forecasting using machine learning and deep learning multivariate time series approachesCésar Peláez-Rodriguez, Jorge Pérez-Aracil, Dušan Fister, Ricardo Torres- López, Sancho Salcedo-Sanz, 2024, izvirni znanstveni članek Ključne besede: cities green mobility, bike sharing demand prediction, cable car demand prediction, machine learning, deep learning
Objavljeno v DKUM: 22.08.2024; Ogledov: 76; Prenosov: 9
Celotno besedilo (4,33 MB) |
5. A Machine Learning Application for the Energy Flexibility Assessment of a Distribution Network for ConsumersJaka Rober, Leon Maruša, Miloš Beković, 2023, izvirni znanstveni članek Ključne besede: flexibility, baseline, demand response, distribution transformer, congestion management, power flow control, peak shaving, load shifting, predictive models, machine learning
Objavljeno v DKUM: 05.01.2024; Ogledov: 386; Prenosov: 54
Celotno besedilo (9,03 MB)
Gradivo ima več datotek! Več... |
6. Tourism demand in Tunisia : a VECM approachDjamal Dekkiche, 2023, izvirni znanstveni članek Opis: This research aimed to study the determinants of tourism demand in Tunisia from 1995 to 2019 with four independent variables: gross domestic product, consumer price index, the real exchange rate, and air transport passengers carried. The research employed the Unit root test, Co-integration test, and Vector Error Correction model (VECM) to examine the variables' short- and long-run relationship dynamics. The results show that co-integrating relations exist among the variables; all independent variables negatively impact tourism demand except Air transport. Depending on the results obtained, policymakers should be aware of the negative effect of the country's political instability on the extent of external tourism demand. In this sense, the government must restore political stability to encourage tourists to visit Tunisia. Future studies should consider factors such as the economy's trade openness and oil prices.
Ključne besede: tourism industry, tourism demand, VECM, Co-integration, Tunisia
Objavljeno v DKUM: 05.09.2023; Ogledov: 260; Prenosov: 4
 Povezava na datoteko |
7. Film experience in the context of different audience : magistrsko deloIvan Kovačić, 2020, magistrsko delo Opis: The aim of this master thesis with title Film experience in the context of the different audiences was to answer the following; is it better to watch a film alone at home or with an audience in the cinema. To answer this question we prepared an experiment in which there were 42 participants. Participants were divided into two groups; the first group watched the film City of God, that was used for the experiment, at home, the second, watched the film with an audience in the cinema. At the end of the experiment, we compared the results from both groups. We found, that participants who watched the film in the cinema with an audience had a better film-watching experience. The results showed that the participants who watched the film in the cinema were more focused and paid more attention to the story, the characters that appeared in the film.
Ključne besede: cinema, video on demand, film experience, emotions, the audience effect
Objavljeno v DKUM: 20.11.2020; Ogledov: 1384; Prenosov: 82
Celotno besedilo (1,19 MB) |
8. Understanding the structural complexity of induced travel demand in decision-making : a system dynamics approachJuan Angarita-Zapata, Jorge Parra-Valencia, Hugo Andrade-Sosa, 2016, izvirni znanstveni članek Opis: Background and purpose: Induced travel demand (ITD) is a phenomenon where road construction increases vehicles’ kilometers traveled. It has been approached with econometric models that use elasticities as measure to estimate how much travel demand can be induced by new roads. However, there is a lack of “white-box” models with causal hypotheses that explain the structural complexity underlying this phenomenon. We propose a system dynamics model based on a feedback mechanism to explain structurally ITD.
Methodology: A system dynamics methodology was selected to model and simulate ITD. First, a causal loop diagram is proposed to describe the ITD structure in terms of feedback loops. Then a stock-flows diagram is formulated to allow computer simulation. Finally, simulations are run to show the quantitative temporal evolution of the model built.
Results: The simulation results show how new roads in the short term induce more kilometers traveled by vehicles already in use; meanwhile, in the medium-term, new traffic is generated. These new car drivers appear when better flow conditions coming from new roads increase attractiveness of car use. More cars added to vehicles already in use produce new traffic congestion, and high travel speeds provided by roads built are absorbed by ITD effects.
Conclusion: We concluded that approaching ITD with a systemic perspective allows for identifying leverage points that contribute to design comprehensive policies aimed to cope with ITD. In this sense, the model supports decision- making processes in urban contexts wherein it is still necessary for road construction to guarantee connectivity, such as the case of developing countries.
Ključne besede: induced travel demand, system dynamics, decision-making, dynamic modeling
Objavljeno v DKUM: 23.01.2018; Ogledov: 1477; Prenosov: 179
Celotno besedilo (1,96 MB)
Gradivo ima več datotek! Več... |
9. Higher education demand factors and the demand for tourism education in SloveniaŽiga Čepar, Štefan Bojnec, 2010, izvirni znanstveni članek Opis: This paper investigates the higher education demand in Slovenia, which is investigated in general and in the field of tourism, using regression analysis on selected time-series data. We find a positive and significant association between the higher education demand in general and the demographic and socio-economic circumstances. Demographic trends in general slow down or even decrease the demand for higher education, while socio-economic factors mostly encourage the demand for higher education. However, unfavourable demographic factors are already prevailing over the favourable socio-economic factors, meaning that growth rates of absolute demand for higher education are starting to decline. We analyze the movements of demand for higher education in the field of tourism in recent years and compare them to the movements of the demand for higher education in general and to the movements of the demand for tourism in Slovenia. The demand for tourist services is a factor that encourages demands for higher education in the field of tourism. Finally, we derive some conclusions about higher education demand determinants in Slovenia in general and in the field of tourism, and propose some recommendations for national educational policy.
Ključne besede: higher education, demand model, demography, tourism, human capital, Slovenia
Objavljeno v DKUM: 30.11.2017; Ogledov: 1444; Prenosov: 370
Celotno besedilo (411,15 KB)
Gradivo ima več datotek! Več... |
10. Forecasting the primary demand for a beer brand using time series analysisDanjel Bratina, Armand Faganel, 2008, izvirni znanstveni članek Opis: Market research often uses data (i.e. marketing mix variables) that is equally spaced over time. Time series theory is perfectly suited to study this phenomena's dependency on time. It is used for forecasting and causality analysis, but their greatest strength is in studying the impact of a discrete event in time, which makes it a powerful tool for marketers. This article introduces the basic concepts behind time series theory and illustrates its current application in marketing research. We use time series analysis to forecast the demand for beer on the Slovenian market using scanner data from two major retail stores. Before our analysis, only broader time spans have been used to perform time series analysis (weekly, monthly, quarterly or yearly data). In our study we analyse daily data, which is supposed to carry a lot of ‘noise’. We show that - even with noise carrying data - a better model can be computed using time series forecasting, explaining much more variance compared to regular regression. Our analysis also confirms the effect of short term sales promotions on beer demand, which is in conformity with other studies in this field.
Ključne besede: market research, time series forecasting, beer demand
Objavljeno v DKUM: 30.11.2017; Ogledov: 1235; Prenosov: 383
Celotno besedilo (395,07 KB)
Gradivo ima več datotek! Več... |
