References of "Cools, Mario"
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See detailA framework to identify housing location patterns using profile Hidden Markov Models
Saadi, Ismaïl ULg; Liu, Feng; El Saeid Mustafa, Ahmed Mohamed ULg et al

in Advanced Science Letters (in press)

The determination of comprehensive activity-travel patterns is important in the context of agent-based micro-simulation modelling. This paper presents an improved method based on profile Hidden Markov ... [more ▼]

The determination of comprehensive activity-travel patterns is important in the context of agent-based micro-simulation modelling. This paper presents an improved method based on profile Hidden Markov Models (pHMMs) able to include information related to the agents’ residential locations. As proposed in the framework of Liu et al. (2015), pHMMs only characterize activity-travel patterns from the activity sequences perspective. In this context, information related to the primary activity locations (e.g. home, work) is not available and, as a result, it cannot be extracted from the pHMMs themselves. With respect to this limitation, we propose to apply the framework of Liu et al. (2015) with an extension to include characterization of residential locations. Following the established guidelines, the activity sequences and their related residential locations are extracted from the activity-travel diaries in order to estimate the regularity of the activities as well as their sequential order. Subsequently, within each residential activity, we include a categorization at an aggregate level (provinces). The methodology is powerful as it characterizes any length of sequence, allowing the generation of unlimited agent plans with information about residential location. Regarding data collection, the activity-travel diaries are provided by the Belgian Household Daily Travel Survey (2010). The results obtained after the simulations indicate a good match between the predicted and observed residential locations at both the national and provincial levels. [less ▲]

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See detailHidden Markov Model-based population synthesis
Saadi, Ismaïl ULg; El Saeid Mustafa, Ahmed Mohamed ULg; Teller, Jacques ULg et al

in Transportation Research. Part B : Methodological (2016), 90

Micro-simulation travel demand and land use models require a synthetic population, which consists of a set of agents characterized by demographic and socio-economic attributes. Two main families of ... [more ▼]

Micro-simulation travel demand and land use models require a synthetic population, which consists of a set of agents characterized by demographic and socio-economic attributes. Two main families of population synthesis techniques can be distinguished: (a) fitting methods (iterative proportional fitting, updating) and (b) combinatorial optimization methods. During the last few years, a third outperforming family of population synthesis procedures has emerged, i.e., Markov process-based methods such as Monte Carlo Markov Chain (MCMC) simulations. In this paper, an extended Hidden Markov Model (HMM)-based approach is presented, which can serve as a better alternative than the existing methods. The approach is characterized by a great flexibility and efficiency in terms of data preparation and model training. The HMM is able to reproduce the structural configuration of a given population from an unlimited number of micro-samples and a marginal distribution. Only one marginal distribution of the considered population can be used as a boundary condition to “guide” the synthesis of the whole population. Model training and testing are performed using the Survey on the Workforce of 2013 and the Belgian National Household Travel Survey of 2010. Results indicate that the HMM method captures the complete heterogeneity of the micro-data contrary to standard fitting approaches. The method provides accurate results as it is able to reproduce the marginal distributions and their corresponding multivariate joint distributions with an acceptable error rate (i.e., SRSME=0.54 for 6 synthesized attributes). Furthermore, the HMM outperforms IPF for small sample sizes, even though the amount of input data is less than that for IPF. Finally, simulations show that the HMM can merge information provided by multiple data sources to allow good population estimates. [less ▲]

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See detailBi-objective Road and Pipe Network Design for Crude Oil Transport in the Sfax Region in Tunisia
Belaid, Emna ULg; Limbourg, Sabine ULg; Mostert, Martine ULg et al

in Procedia Engineering (2016), 142

In this paper, we examine a bi-objective road and pipe network design for crude oil transport in the Sfax region in Tunisia. In particular, we search for the minimum spanning trees (MST) that connect the ... [more ▼]

In this paper, we examine a bi-objective road and pipe network design for crude oil transport in the Sfax region in Tunisia. In particular, we search for the minimum spanning trees (MST) that connect the different oil fields with the port of La Skhirra. In the determination of the minimum spanning trees, two objectives are taken into account, i.e. accident risk and construction costs. By using an improved ɛ-constraint resolution technique, the Pareto optimal combinations of risk and cost are found. Results indicate that the network solutions by pipe outperform the solutions by road. When the minimum spanning trees for the two extremes on the Pareto curves, i.e. the cost minimum and risk minimum, are compared, one could note considerable differences in the links that form the MST. This implies that policy makers have an important role in deliberating between costs and risks. [less ▲]

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See detailLogistics Service Quality: The Case of Da Nang City
Limbourg, Sabine ULg; Giang, Ho Thi Quynh; Cools, Mario ULg

in Procedia Engineering (2016), 142

Cost minimization is a key objective in managing logistics services. In this context, a growing interest in quality improvement can be observed. However, service quality is hard to quantify as it is a ... [more ▼]

Cost minimization is a key objective in managing logistics services. In this context, a growing interest in quality improvement can be observed. However, service quality is hard to quantify as it is a function of varying customer perceptions over time, of the measurement process and of the analysis of the data gathered. This study examines the logistics service quality by scales developed according to SERVQUAL instrument. A survey of 200 customers of logistics service providers (LSP) was conducted in Da Nang City. The data analysis shows that LSPs in Da Nang city need to improve Research and Development and to develop Customer Care programs. [less ▲]

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See detailFree public transport: A socio-cognitive analysis
Cools, Mario ULg; Fabbro, Yannick; Bellemans, Tom

in Transportation Research. Part A : Policy & Practice (2016), 86

In this study, the modal shift potential of introducing a free alternative (free public transportation) and of changing the relative prices of transportation is examined. The influence of a cognitive ... [more ▼]

In this study, the modal shift potential of introducing a free alternative (free public transportation) and of changing the relative prices of transportation is examined. The influence of a cognitive analysis on the zero-price effect is also analyzed. The data used for the analysis stem from a stated preference survey with a sample of approximately 670 respondents that was conducted in Flanders, Belgium. The data are analyzed using a mixed logit model. The modeling results yield findings that confirm the existence of a zero-price effect in transport, which is in line with the literature. This zero-price effect is increased by the forced cognitive analysis for shopping trips, although not for work/school or recreational trips. The results also demonstrate the importance of the current mode choice in hypothetical mode choices and the importance of car availability. The influence of changing relative prices on the modal shift is found to be insignificant. This might be partially because the price differences were too small to matter. Hence, an increase in public transport use can be facilitated by the introduction of free public transport, particularly when individuals evaluate the different alternatives in a more cognitive manner. These findings should be useful to policy makers evaluating free public transport and considering how best to target and promote relevant policy. [less ▲]

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See detailIdentifying mismatch between urban travel demand and transport network services using GPS data: A case study in the fast growing Chinese city of Harbin
Cui, JianXun; Liu, Feng; Hu, Jia et al

in Neurocomputing (2016), 181

The world's urban population growth and economic development have led to the reshaping of metropolitan space layouts among residential, employment and shopping locations, generating growing mismatch ... [more ▼]

The world's urban population growth and economic development have led to the reshaping of metropolitan space layouts among residential, employment and shopping locations, generating growing mismatch between travel demand and transport services. A reliable method to accurately analyze mobility demand and underlying transport network systems and to identify areas with serious mismatch problems is important for the design of effective policy measures. In this paper, we make use of the wide deployment of GPS devices in vehicles in many cities today, to develop such a method. This approach is developed using GPS data collected from all taxis operating in the Chinese city of Harbin between July and September in 2013. It consists of four major steps. First, city-wide mobility patterns are modeled based on GPS trajectories. This model captures a set of key traffic characteristics for each pair of regions in the entire urban network, including travel demand, travel speed and route directness of travel paths. From this model, a set of indicators is then built to measure the road transport performance between the regions, and the areas with serious mismatch problems are subsequently pinpointed. Finally, the identified problematic regions are further examined and specific transport problems are analyzed. By applying the proposed method to the city of Harbin, the potential and effectiveness of this method are demonstrated. Moreover, with more and more urban vehicles being equipped with GPS devices, the designed method can be easily transferred to other cities, thus paving a way for the adoption of the presented approach for an up-to-date and spatial-temporal sensitive road network analysis approach that supports the establishment of a more sustainable urban transport system. [less ▲]

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See detailDetecting urban road network accessibility problems using taxi GPS data
Cui, JianXun; Liu, Feng; Janssens, Davy et al

in Journal of Transport Geography (2016), 51

Urban population growth and economic development have led to the creation of new communities, jobs and services at places where the existing road network might not cover or efficiently handle traffic ... [more ▼]

Urban population growth and economic development have led to the creation of new communities, jobs and services at places where the existing road network might not cover or efficiently handle traffic. This generates isolated pockets of areas which are difficult to reach through the transport system. To address this accessibility problem, we have developed a novel approach to systematically examine the current urban land use and road network conditions as well as to identify poorly connected regions, using GPS data collected from taxis. This method is composed of four major steps. First, city-wide passenger travel demand patterns and travel times are modeled based on GPS trajectories. Upon this model, high density residential regions are then identified, and measures to assess accessibility of each of these places are developed. Next, the regions with the lowest level of accessibility among all the residential areas are detected, and finally the detected regions are further examined and specific transport situations are analyzed. By applying the proposed method to the Chinese city of Harbin, we have identified 20 regions that have the lowest level of accessibility by car among all the identified residential areas. A serious reachability problem to petrol stations has also been discovered, in which drivers from 92.6% of the residential areas have to travel longer than 30 min to refill their cars. Furthermore, the comparison against a baseline model reveals the capacity of the derived measures in accounting for the actual travel routes under divergent traffic conditions. The experimental results demonstrate the potential and effectiveness of the proposed method in detecting car-based accessibility problems, contributing towards the development of urban road networks into a system that has better reachability and more reduced inequity. [less ▲]

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See detailHandling Intra-Household Correlations in Modeling Travel: A Comparison of Hierarchical (Random Effect) Models and Marginal (GEE) Models
Cools, Mario ULg; Moons, Elke

in Proceedings of the 95th Annual Meeting of the Transportation Research Board (2016)

In this paper, the necessity for treating intra-household correlation is investigated by analyzing two travel behavior indices, i.e. travel time and travel distance, for three important travel motives ... [more ▼]

In this paper, the necessity for treating intra-household correlation is investigated by analyzing two travel behavior indices, i.e. travel time and travel distance, for three important travel motives (commuting, shopping, and leisure). Data stemming from the 2010 Belgian National Household Travel Survey are used in the analysis. Two model approaches that accommodate for intra-household correlation are compared, namely the generalized linear mixed model (GLMM) and GEE model approach. Both model approaches show that high levels of intra-household correlation are present, and therefore the use of models that take into account intra-household correlation, is strongly recommend. Results indicate that this requirement is the most urgent for non-commuting trips. Moreover, the results show that GLMM and GEE yield comparable estimates in the case of normally distributed data. Furthermore, evidence was provided that the more the estimates of the intra-household correlation provided by the two approaches differ, the less the homogeneity of the parameters is assured. In this regard, if one has to choose between the GLMM and GEE methodology, especially the negative consequences of choosing an inappropriate covariance model in the case of a GLMM model favor the selection of the GEE methodology. Further research is needed to compare the two approaches in the context of non-normally distributed travel behavior data. [less ▲]

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See detailAssessing the effect of traveler's nationality on daily travel time expenditure using Zero-Inflated Negative Binomial Regression models: results from the Belgian national household travel survey.
Eftekhar, Hamed ULg; Creemers, Lieve; Cools, Mario ULg

in Proceedings of the 95th Annual Meeting of the Transportation Research Board (2016)

In this paper, the effect of traveler's nationality on daily travel time expenditure is assessed using data stemming from the 2010 Belgian national household travel survey. In particular, different (zero ... [more ▼]

In this paper, the effect of traveler's nationality on daily travel time expenditure is assessed using data stemming from the 2010 Belgian national household travel survey. In particular, different (zero-inflated) negative binomial models were estimated to isolate the effect of nationality, after controlling for other contributing factors such as socio-demographics, residential characteristics, transport options and temporal characteristics. The results indicate that, even if one controls for a series of other influencing factors, nationality plays a significant role in differences in travel time expenditure. This finding is especially relevant in the development of policy packages that are targeted to tackle social inequalities. From a methodological perspective, different methodological options, i.e. two weighting schemes and two bootstrap solutions, were presented to provide sufficient support for the conclusions. In order to generalize the results in further studies, an oversampling of travelers with a different nationality is strongly recommended. Future research should focus more on the underlying psychological constructs of why ethnic and cultural differences persist, even if one accounts for other determinants. [less ▲]

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See detailAn integrated framework for forecasting travel behavior using Markov Chain Monte-Carlo simulation and profile Hidden Markov Models
Saadi, Ismaïl ULg; El Saeid Mustafa, Ahmed Mohamed ULg; Teller, Jacques ULg et al

in Proceedings of the 95th Annual Meeting of the Transportation Research Board (2016)

Recent advances in agent-based micro-simulation modelling have further underlined the importance of a thorough full synthetic population procedure to guarantee a correct characterization of the true ... [more ▼]

Recent advances in agent-based micro-simulation modelling have further underlined the importance of a thorough full synthetic population procedure to guarantee a correct characterization of the true population. We propose an integrated approach including Markov Chain Monte Carlo (MCMC) simulation and profiling based methods to catch the complexity and the diversity of agents of the true population through representative micro samples. The population synthesis method is capable of building the joint distribution of a given population with its corresponding marginal distributions (e.g. age, gender, socio-professional status etc.) using complete, partial conditional probabilities or both of them at the same time. Particularly, the estimation of socio-demographic variables and characterization of daily activity-travel patterns are included within the framework. Data stemming from the 2010 Belgian Household Daily Travel Survey (BELDAM) are used to calibrate the modelling framework. We illustrate that this framework catches in an efficient way the behavioral heterogeneity of travelers. Furthermore, we show that the proposed framework is adequately adapted to build large scale micro-simulation scenarios of transportation and urban systems. [less ▲]

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See detailModelling Agents’ Behavior in the Context of River Floods: An Ant Colony based Approach
Saadi, Ismaïl ULg; El Saeid Mustafa, Ahmed Mohamed ULg; Teller, Jacques ULg et al

Conference (2015, September)

This paper presents a model for understanding short-term travelers’ behavior in the context of river floods. In several cities, river floods are considerably affecting urban transportation systems. In ... [more ▼]

This paper presents a model for understanding short-term travelers’ behavior in the context of river floods. In several cities, river floods are considerably affecting urban transportation systems. In this regard, decision makers need comprehensive models to define efficient risk management strategies. The dynamic nature of this problem requires an algorithm able to deal with traffic redirecting during the micro-simulation process. Furthermore, a transportation network contains a significant number of links and nodes which lead to large computation times. In this regard, an Ant Colony Optimization (ACO) algorithm is proposed to solve such combinatorial problems. In a basic ACO, some ants/agents might push the algorithm to converge toward non-optimal solutions. In this context, a MAX-MIN Ant System (AS) approach is included in the algorithm to stimulate the best solutions. In addition, the discrete choice model is adapted to allow more behavioral reactions regarding simulated river floods. [less ▲]

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See detailCharacterizing activity sequences using Profile Hidden Markov Models
Liu, Feng; Janssens, Davy; Cui, JianXun et al

in Expert Systems with Applications (2015), 42(13), 57055722

In literature, activity sequences, generated from activity-travel diaries, have been analyzed and classified into clusters based on the composition and ordering of the activities using Sequence Alignment ... [more ▼]

In literature, activity sequences, generated from activity-travel diaries, have been analyzed and classified into clusters based on the composition and ordering of the activities using Sequence Alignment Methods (SAM). However, using these methods, only the frequent activities in each cluster are extracted and qualitatively described; the infrequent activities and their related travel episodes are disregarded. Thus, to quantify the occurrence probabilities of all the daily activities as well as their sequential orders, we develop a novel process to build multiple alignments of the sequences and subsequently derive profile Hidden Markov Models (pHMMs). This process consists of 4 major steps. First, activity sequences are clustered based on a pre-defined scheme. The frequent activities along with their sequential orders are then identified in each cluster, and they are subsequently used as a template to guide the construction of a multiple alignment of the cluster of sequences. Finally, a pHMM is employed to convert the multiple alignment into a position-specific scoring system, representing the probability of each frequent activity at each important position of the alignment as well as the probabilities of both insertion and deletion of infrequent activities. By applying the derived pHMMs to a set of activity-travel diaries collected in Belgium as well as a group of mobile phone call location data recorded in Switzerland, the potential and effectiveness of the models in capturing the sequential features of each cluster and distinguishing them from those of other clusters, are demonstrated. The proposed method can also be utilized to improve activity-based transportation model validation and travel survey designs. Furthermore, it offers a wide application in characterizing a group of any related sequences, particularly sequences varying in length and with a high frequency of short sequences that are typically present in human behavior. [less ▲]

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See detailEthnic Differences in Travel Time Expenditure
Cools, Mario ULg; Eftekhar, Hamed ULg

in Proceeding of the 14th International Conference on Travel Behaviour Reresearch (IATBR 2015) (2015, July 23)

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See detailModelling Uncertainties in Long-Term Predictions of Urban Growth: A Coupled Cellular Automata and Agent-Based Approach
El Saeid Mustafa, Ahmed Mohamed ULg; Saadi, Ismaïl ULg; Cools, Mario ULg et al

in Ferreira, Joseph; Goodspeed, Robert (Eds.) Proceedings of CUPUM 2015 (2015, July 07)

Modelling the growth of urban settlements is of considerable interest for different applications, amongst which integrated flood management. This study aims at modelling urban growth for a long time ... [more ▼]

Modelling the growth of urban settlements is of considerable interest for different applications, amongst which integrated flood management. This study aims at modelling urban growth for a long time horizon up to 2100 and to integrate the model outcomes with a hydrological model for the same time horizon. Forecasting land-use change over such time frames entails very significant uncertainties. In this regard, the main focus of this paper is attributed to the handling of uncertainty in an urban growth model. To this end, we examine a Monte Carlo Simulation method, which is integrated in the proposed urban growth model. Transition probabilities for each non-urban cell are estimated by a coupled Cellular Automata-Agent-Based ap-proach. The results help to handle uncertainty over long time horizons and to assess the increment in degree of uncertainty at every time-step. [less ▲]

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See detailUrban Development as a Continuum: A Multinomial Logistic Regression Approach
El Saeid Mustafa, Ahmed Mohamed ULg; Cools, Mario ULg; Saadi, Ismaïl ULg et al

in Gervasi, Osvaldo; Murgante, Beniamino; Misra, Sanjay (Eds.) et al Computational Science and Its Applications – ICCSA 2015, Part III (2015)

Urban development is a complex process influenced by a number of driving forces, including spatial planning, topography and urban economics. Identifying these drivers is crucial for the regulation of ... [more ▼]

Urban development is a complex process influenced by a number of driving forces, including spatial planning, topography and urban economics. Identifying these drivers is crucial for the regulation of urban development and the calibration of predictive models. Existing land-use models generally consider urban development as a binary process, through the identification of built versus non-built areas. This study considers urban development as a continuum, characterized by different level of densities, which can be related to different driving forces. A multinomial logistic regression model was employed to investigate the effects of drivers on different urban densities during the past decade in Wallonia, Belgium. Sixteen drivers were selected from sets of driving forces including accessibility, geophysical features, policies and socioeconomic factors. It appears that urban development in Wallonia is remarkably influenced by land-use policies and accessibility. Most importantly, our results highlight that the impact of different drivers varies along with urban density. [less ▲]

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See detailLanduse change and future flood risk: an integrated and multi-scale approach
Dewals, Benjamin ULg; Bruwier, Martin ULg; Mohamed El Saeid Mustafa, Ahmed ULg et al

in E-proceedings of the 36th IAHR World Congress (2015, June)

The goal of this research is a better understanding of the complex interactions between landuse change and future flood risk. Landuse change is mainly driven by population growth and socio-economic ... [more ▼]

The goal of this research is a better understanding of the complex interactions between landuse change and future flood risk. Landuse change is mainly driven by population growth and socio-economic factors. It affects future flood risk by altering catchment hydrology and vulnerability in the floodplains, as well as through the feedback effect that changes in flood hazard may have on landuse evolution. The research is based on a chain of modelling tools, including: stochastic landuse change modelling, traffic modelling as well as Land-Use and Transport Interactions models, continuous hydrological modelling and efficient hydraulic modelling of floodplains inundation. The coupling of these modelling tools will allow assessing direct and indirect impacts of land use change on future flood risk, while considering the uncertainties related to each of these processes and their combinations at a 2100 time horizon. [less ▲]

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See detailMeteorological variation in daily travel behaviour: evidence from revealed preference data from the Netherlands
Creemers, Lieve; Wets, Geert; Cools, Mario ULg

in Theoretical & Applied Climatology (2015), 120(1-2), 183-194

This study investigates the meteorological variation in revealed preference travel data. The main objective of this study is to investigate the impact of weather conditions on daily activity participation ... [more ▼]

This study investigates the meteorological variation in revealed preference travel data. The main objective of this study is to investigate the impact of weather conditions on daily activity participation (trip motives) and daily modal choices in the Netherlands. To this end, data from the Dutch National Travel Household Survey of 2008 were matched to hourly weather data provided by the Royal Dutch Meteorological Institute and were complemented with thermal indices to indicate the level of thermal comfort and additional variables to indicate the seasonality of the weather conditions. Two multinomial logit–generalised estimation equations (MNL-GEE) models were constructed, one to assess the impact of weather conditions on trip motives and one to assess the effect of weather conditions on modal choice. The modelling results indicate that, depending on the travel attribute of concern, other factors might play a role. Nonetheless, the thermal component, as well as the aesthetical component and the physical component of weather play a significant role. Moreover, the parameter estimates indicate significant differences in the impact of weather conditions when different time scales are considered (e.g. daily versus hourly based). The fact that snow does not play any role at all was unexpected. This finding can be explained by the relatively low occurrence of this weather type in the study area. It is important to consider the effects of weather in travel demand modelling frameworks because this will help to achieve higher accuracy and more realistic traffic forecasts. These will in turn allow policy makers to make better long-term and short-term decisions to achieve various political goals, such as progress towards a sustainable transportation system. Further research in this respect should emphasise the role of weather conditions and activityscheduling attributes. [less ▲]

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See detailModeling accessibility to schools: the case of Wallonia, Belgium
Maldague, Hubert ULg; Teller, Jacques ULg; Cools, Mario ULg

in Rasouli, Soora; Timmermans, Harry (Eds.) Current Issues in Transportation Research, Proceedings of the BIVEC/GIBET Transport Research Days 2015 (2015)

Several recent studies about school mobility highlighted the significant decline of active modes and public transport's modal shares. Associated with this decline, it can be observed that distances ... [more ▼]

Several recent studies about school mobility highlighted the significant decline of active modes and public transport's modal shares. Associated with this decline, it can be observed that distances between home and schools have been rising the last two decades. To develop appropriate policies alleviating the negative effects of the increased motorization in the school commute, a diagnosis of probable causes is required. To perform this diagnosis, we develop an accessibility-based methodology using data stemming from the Belgian national household travel (BELDAM) survey. Gamma-functions are calibrated to describe the use of different transport modes according to their relative travel times. Data from OpenStreetMap are used to describe the Walloon roads network in terms of the maximum allowed vehicle speed and length for each link. Properties of the network are modified to match with other transport modes. Maps of accessibility to schools are computed for each transport mode by merging the value of access time represented by isochrones and the calibrated gamma-functions. [less ▲]

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See detailKnowledge of the concept Light Rail Transit: Exploring its relevance and identification of the determinants of various knowledge levels
Creemers, Lieve; Tormans, Hans; Bellemans, Tom et al

in Transportation Research. Part A : Policy & Practice (2015), 74

This paper explores the knowledge of the concept ‘Light Rail Transit’ (LRT) in the context of implementing a Light Rail system in a (sub)-urban region. To this end, three models are estimated: a first ... [more ▼]

This paper explores the knowledge of the concept ‘Light Rail Transit’ (LRT) in the context of implementing a Light Rail system in a (sub)-urban region. To this end, three models are estimated: a first model to explore the role of knowledge on modal choice, a second one to identify the determinants of the level of knowledge and a third model to identify the determinants of a cognitive mismatch between actual (real) knowledge and perceived knowledge. The first model (a negative binomial regression model) underlines the significant relation between knowledge of the concept LRT and modal choice. Given the lack of knowledge of the concept ‘Light Rail Transit’ revealed by the descriptive results, it is of crucial importance to raise the level of knowledge. Knowledge acquisition can be based on transit experiences and information provision. To explore how information campaigns should be constructed and which target groups should be approached, the factors influencing travelers’ knowledge and the determinants of a cognitive mismatch are identified by a Multinomial Logit Model (MNL-model) and a binary logit model. The results show that various socio-economic variables as well as socio-psychological variables are significantly influencing actual knowledge and significantly influencing a cognitive mismatch. Among these variables, employment, gender, perception of ticket price of Public Transit (PT) and expectations with regard to seat availability in the LRT-vehicle are the most influential ones. [less ▲]

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