Schreurs, Jeanne; Al-Huneidi, Ahmad
A Learner-centered learning is constructivism based and Competence directed. We define general competencies, domain competencies and specific course competencies. Constructivism based learning activities are based on constructivism theory. For each course module the intended learning level will be defined. A model is built for the design of a learner centered constructivism based and competency directed learning process. The application of it in two courses are presented.
Schreurs, Jeanne; Gladun, Anatoly Jasonovich; Rogushina, Julia Vitalijevna
Domain ontology is proposed as an instrument for controlling of e-learning course results. This approach instead of traditional testing more objectively reflects the structure of students’ knowledge. Use of ontologies for knowledge representation provides interoperability of the used testing systems. The domain knowledge has been found and reuse in the semantic web world. Domain ontology developing is based on the principles of ontological analysis. The method of it’s use for evaluation of the learners’ knowledge results is based on matching of the learners’ ontology with the reference ontology proposed by the trainer/tutor. A multi-agent system for e-learning (M(e)L ) has...
Keren, Daniel; Yasar, Ansar-Ul-Haque; Knapen, Luk; Cho, Sungjin; Bellemans, Tom; Janssens, Davy; Wets, Geert; Schuster, Assaf; Sharfman, Izchak
In this position paper, we exploit the tools from the realm of graph theory to matching and portioning problems of agent population in an agent-based model for traffic and transportation applications. We take the agent-based carpooling application as an example scenario. The first problem is matching, which concerns finding the optimal pairing among agents. The second problem is partitioning, which is crucial for achieving scalability and for other problems that can be parallelized by separating the passenger population to subpopulations such that the interaction between different sub-populations is minimal. Since in real-life applications the agent population, as well as their...
Pirdavani, Ali; Brijs, Tom; Bellemans, Tom; Wets, Geert
Generalized Linear Models (GLMs) are the most widely used models utilized in crash prediction studies. These models illustrate the relationships between the dependent and explanatory variables by estimating fixed global estimates. Since the crash occurrences are often spatially heterogeneous and are affected by many spatial variables, the existence of spatial correlation in the data is examined by means of calculating Moran’s I measures for dependent and explanatory variables. The results indicate the necessity of considering the spatial correlation when developing crash prediction models. The main objective of this research is to develop different Zonal Crash Prediction Models (ZCPMs) within the...
Maes, T.; Caris, A.; Ramaekers, K.; Janssens, G.K.; Bellemans, T.
This paper focuses on the modelling of carrier decisions within an activity-based freight transportation model. To model freight transport, the different actors who are included in the decision making process have to be represented. One of these actors is the carrier. This paper formulates the decisions of the carrier as a selective pickup and delivery problem. To be able to better represent the influence of carrier decisions on the logistic module within an activity based freight transportation model. The objective is to maximize the profit gained, by selecting transport requests. A local search heuristic is presented to solve the problem.
Do Lee, Won; Cho, Sungjin; Bellemans, Tom; Janssens, Davy; Wets, Geert; Choi, Keechoo; Joh, Chang-Hyeon
As a case study area, Seoul metropolitan area in Korea, where has been experiencing transportation problems including congestions and emissions, currently needs an alternative policy measure at the individual level, instead of large scale infrastructure constructions. Even though some researches based on an activity-based approach dealing with an individual travel behavior have been conducted in Korea, none of them used a simulation framework. Considering a genuine activity-based transportation demand forecast, there is no better option but to introduce the activity-based simulation framework. Among several activity-based transportation frameworks, Feathers will indeed be applied into the study area because it is the...
Bellemans, Tom; Bothe, Sebastian; Cho, Sungjin; Giannotti, Fosca; Janssens, Davy; Knapen, Luk; K??rner, Christine; May, Michael; Nanni, Mirco; Pedreschi, Dino; Stange, Hendrik; Trasarti, Roberto; Yasar, Ansar-Ul-Haque; Wets, Geert
Carpooling is thought to be part of the solution to resolve traffic congestion in regions where large companies dominate the traffic situation because coordination and matching between commuters is more likely to be feasible in cases where most people work for a single employer. Moreover, carpooling is not very popular for commuting. In order for carpooling to be succesful, an online service for matching commuter profiles is indispensable due to the large community involved. Such service is necessary but not sufficient because carpooling requires rerouting and activity rescheduling along with candidate matching. We advise to introduce services of this kind...
Pirdavani, Ali; Brijs, Tom; Bellemans, Tom; Kochan, Bruno; Wets, Geert
Travel demand management (TDM) consists of a variety of policy measures that affect the effectiveness of transportation systems by changing travel behavior. The primary objective of such TDM strategies is not to improve traffic safety, although their impact on traffic safety should not be neglected. The main purpose of this study is to simulate the traffic safety impact of conducting a teleworking scenario (i.e. 5% of the working population engages in teleworking) in the study area, Flanders, Belgium. Since TDM strategies are usually conducted at a geographically aggregated level, crash prediction models (CPMs) should also be developed at an aggregate...
Dhondt, Stijn; Kochan, Bruno; Beckx, Carolien; Lefebvre, Wouter; Pirdavani, Ali; Degraeuwe, Bart; Bellemans, Tom; Int Panis, Luc; Macharis, Cathy; Putman, Koen
Transportation policy measures often aim to change travel behaviour towards more efficient transport. While these policy measures do not necessarily target health, these could have an indirect health effect. We evaluate the health impact of a policy resulting in an increase of car fuel prices by 20% on active travel, outdoor air pollution and risk of road traffic injury. An integrated modelling chain is proposed to evaluate the health impact of this policy measure. An activity-based transport model estimated movements of people, providing whereabouts and travelling kilometres. An emission- and dispersion model provided air quality levels (elemental carbon) and a...
Beckx, C.; Lefebvre, W.; Degraeuwe, B.; Vanhulsel, M.; Dhondt, S.; Kochan, B.; Bellemans, T.; Jansen, S.; Int Panis, L.; De Vlieger, I.
Purpose: There are different reasons to assume that not every vehicle kilometre yields the same environmental impact. For instance, some vehicle kilometres are driven at high speeds on highways, while others are driven at low speeds in urban environments. This will have an impact on the resulting exhaust missions. Furthermore, the timing of a trip determines its impact on the resulting concentration levels. Pollutants emitted during trips at night will have a larger impact on the ground-level concentrations than emissions exhausted during the day, due to the greater atmospheric stability. And, concerning the impact on exposure, emissions produced in cities...
Dhondt, S.; BECKX, Carolien; Degraeuwe, B.; Lefebvre, W.; KOCHAN, Bruno; BELLEMANS, Tom; INT PANIS, Luc; Macharis, C.; Putman, K.
By focussing on air pollutant concentration levels only, the variation in population mobility is not taken into account when assessing the exposure. Transportation policies have an impact on both concentration levels and mobility patterns. The impact of a fuel price increase policy on population exposure to elemental carbon (EC) was evaluated and compared to the base scenario (current situation), taking into account time-activity patterns - including time in commute. We assessed the effect on exposure of both the change in concentrations and whereabouts. The decrease in exposure due to the fuel price increase using residential information only was limited to...
Lefebvre, W.; Degrawe, B.; Beckx, C.; Vanhulsel, M.; Kochan, B.; Bellemans, T.; Janssens, D.; Wets, G.; Janssen, S.; de Vlieger, I.; Int Panis, L.; Dhondt, S.
There is often a large discrepancy between the questions raised by policy makers and the responses offered by scientists. Current modeling approachesdo not answer some of the typical questions that decision-makers face, as they do not provide solutions to policy-makers dealing with concrete political negotiation and decisions. In this paper, we try to bridge the gap by creating an integrated model chain that can respond to such concrete policy questions. The paper describes a model chain consisting of an activity-based transport-model, a road traffic emission model, a bi-gaussian atmospheric dispersion model and a concentration measurement interpolation model. Subsequently results are...
Jans, Mieke J.
In the first book on process mining, Wil van de Aalst densely defines the goal of process mining “to use event data to extract process-related information”, like automatically discovering a process model by observing events that are recorded by some information system. This definition is broad, since it addresses the mining of all processes that are supported by an information system, revealing the wide range of possible applications of process mining. With the growing of the digital universe, the recording of events reaches new heights all the time. Given this omnipresence of recorded events and hence the large amount of...
Jans, Mieke; Alles, Michael G.; Vasarhelyi, Miklos
In this paper we explore the value that the techniques of process mining can provide to internal auditors by conducting a case study of the procurement process at a major European financial services provider. Jans et al. (2010) argued that process mining has the potential to increase the effectiveness and scope of internal auditing by enabling auditors to extract knowledge from event logs recorded by a business’s information system. They argued that what makes an event log potentially such a unique and potentially invaluable resource for auditing is not only that it provides the auditor with more data to analyze,...
SHEN, Yongjun; HERMANS, Elke; BRIJS, Tom; WETS, Geert; VANHOOF, Koen
Currently, comparison between countries in terms of their road safety performance is widely conducted in order to better understand one's own safety situation and to learn from those best-performing countries by indicating practical targets and formulating action programmes. In this respect, crash data such as the number of road fatalities and casualties are mostly investigated. However, the absolute numbers are not directly comparable between countries. Therefore, the concept of risk, which is defined as the ratio of road safety outcomes and some measure of exposure (e.g., the population size, the number of registered vehicles, or distance travelled), is often used...
Dhondt, Stijn; Pirdavani, Ali; Macharis, Cathy; Bellemans, Tom; Putman, Koen
Introduction The majority of traffic safety policies are
limited to preventing mortality. However, non-fatal
injuries also impose a significant risk of adverse health.
Therefore, both mortality and morbidity outcomes should
be included in the evaluation of traffic safety policies. The
authors propose a method to evaluate different policy
options taking into account both fatalities and serious
Methods A health impact model was developed and
aligned with a transport and road safety model,
calculating the health impact of fatalities and seriously
injured traffic victims for two transport scenarios in
Flanders and Brussels (Belgium): a base scenario and
a fuel price increase of 20% as an alternative. Victim
counts were expressed as disability adjusted life...
Pirdavani, Ali; Brijs, Tom; Bellemans, Tom; Kochan, Bruno; Wets, Geert
Assessing the safety impacts of Travel Demand Management (TDM) policies is essential to be carried out by means of a proactive approach. Since TDM policies are typically implemented at an aggregate level, Crash Prediction Models (CPMs) should also be developed at a similar level of aggregation. These models should match better with the resolution at which TDM evaluations are performed. Therefore Zonal Crash Prediction Models (ZCPMs) are considered to construct the association between observed crashes and a set of predictor variables in each zone. This is carried out by the Generalized Linear Modeling (GLM) procedure with the assumption of Negative...
Dekker, Julie; Lybaert, Nadine; Steijvers, Tensie; Depaire, Benoit
In family business literature, business professionalization is often simplified into a binary characteristic, that is, the presence of a nonfamily manager. We contend that other professionalization features, which may act simultaneously, can influence firm performance. This study addresses professionalization as a multidimensional construct, as intended by general management literature, and assesses the impact on business performance based on these underlying dimensions. Using a representative sample of 523 private Belgian family businesses, we identify five different dimensions of the professionalization construct by means of an exploratory factor analysis. Further regression results revealed significant positive effects of increasing nonfamily involvement, implementing human...
Depaire, Benoit; Ivanova, Krassimira; Markov, Krassimir; Mitov, Iliya; Vanhoof, Koen; Velychko, Vitalii
Mitov, Iliya; Depaire, Benoit; Ivanova, Krassimira; Vanhoof, Koen; Blagoev, Dimitar