Dick Ettema
Utrecht University, Faculty of Geosciences, Faculty Member
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ABSTRACT This paper presents an intraurban cellular automata model that is an extension to White and Engelen’s pioneering model. The paper’s main contribution is to distinguish between agglomerative effects, determined by the attraction... more
ABSTRACT This paper presents an intraurban cellular automata model that is an extension to White and Engelen’s pioneering model. The paper’s main contribution is to distinguish between agglomerative effects, determined by the attraction of the neighbourhood, and disagglomerative effects, driven by land prices, or land affordability. In order to do that, social heterogeneity is introduced in the model at the intraurban level. As a result, we can simulate both the evolution of land use and land prices. An application of the model and a sensitivity analysis indicate that neighborhood influence is the main driving force of cities’ spatial configurations. Prices, however, exert an important countereffect. Actually, the higher the influence of land prices, the faster land succession is observed. Finally, an important conclusion of the model is that intraurban models should not fail to diff erentiate actors by income level.
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Road pricing policies are, after a cooling down period of a couple of years, again prominently back on the political agenda in the Netherlands. But also in the period of less political interest, research in the field of (road) pricing... more
Road pricing policies are, after a cooling down period of a couple of years, again prominently back on the political agenda in the Netherlands. But also in the period of less political interest, research in the field of (road) pricing policies continued in other countries as well as in the Netherlands. Most research literature focuses on the economic and acceptability
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Using stated preference data collected among Dutch respondents, this paper explores the effects of kilometre and cordon charges on the decision to move house or change jobs. About 5 per cent of the respondents indicated a reasonably high... more
Using stated preference data collected among Dutch respondents, this paper explores the effects of kilometre and cordon charges on the decision to move house or change jobs. About 5 per cent of the respondents indicated a reasonably high probability of moving house if a road pricing measure were to be implemented; with respect to job change, this was about 13.5
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ABSTRACT This paper focuses on the interrelationships between ICT, activity fragmentation and travel behaviour. The concept of fragmentation relates to how activities are spatiotemporally reorganized, by subdividing activities into... more
ABSTRACT This paper focuses on the interrelationships between ICT, activity fragmentation and travel behaviour. The concept of fragmentation relates to how activities are spatiotemporally reorganized, by subdividing activities into smaller components that are then performed at different times and/or locations, in connection with ICT use. The association between ICT, activity fragmentation and travel relationships remains uncharted. Based on a two-day Dutch communication-activity-travel diary different associations between ICT use, paid work spatiotemporal fragmentation indicators and frequency of travel are specified and tested with Path Analysis Modelling accounting for sociodemographic and land use factors. The results demonstrate that the interrelationships between fragmentation, ICT and travel are quite complex. ICT and fragmentation apparently have a reciprocal relationship with mobile ICT use influencing the degree of spatial fragmentation whereas the usages of sedentary ICT are influenced by the degree of temporal fragmentation. Person-ICT attributes and ICT use mediate the participation in non-work activities, and can replace work and non-work travel. Fragmentation reduces work trips but at the same time restricts non-work personal travel possibilities and can reallocate time for leisure activity and travel.
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Recently, a new travel demand measure (Spitsmijden) was introduced in the Netherlands, which is based on rewarding frequent car commuters to avoid the rush hour, using monetary incentives. Analyses of the quantitative data gathered in... more
Recently, a new travel demand measure (Spitsmijden) was introduced in the Netherlands, which is based on rewarding frequent car commuters to avoid the rush hour, using monetary incentives. Analyses of the quantitative data gathered in various ...
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ABSTRACT This study explored the influences of location on business firm survival rates with the use of parametric duration models applied to a data set. Of the variables included, those found to be the most significant were accessibility... more
ABSTRACT This study explored the influences of location on business firm survival rates with the use of parametric duration models applied to a data set. Of the variables included, those found to be the most significant were accessibility to infrastructure supply, regional effects, demographic and economic aspects, and rent price. Analyses also were depicted by firm type (economic activity sector) along with interactions between them and some location attributes. The study led to a better understanding of firm survival patterns with respect to urban characteristics. The results presented in this paper are part of a demographic approach, which in turn is part of a multiagent system to simulate the coevolution of firm dynamics and changes in activity-travel patterns.
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... to Road-Pricing Policies Dick Ettema, Olu Ashiru, and John W. Polak Transportation Research Record: Journal of the Transportation Research Board, No. ... A similar, marginal utility model formulation was also proposed earlier by Polak... more
... to Road-Pricing Policies Dick Ettema, Olu Ashiru, and John W. Polak Transportation Research Record: Journal of the Transportation Research Board, No. ... A similar, marginal utility model formulation was also proposed earlier by Polak and Jones (4). Ashiru et al. ...
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kau.se. ...
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It is increasingly recognised that land-use change processes are the outcome of decisions made by individual actors, such as land owners, authorities, firms and households. In order to improve the theoretical basis of land-use modelling... more
It is increasingly recognised that land-use change processes are the outcome of decisions made by individual actors, such as land owners, authorities, firms and households. In order to improve the theoretical basis of land-use modelling and to represent land-use changes in a behaviourally more realistic way, we are developing PUMA (Predicting Urbanisation with Multi-Agents), a fully fledged multi-agent system of urban processes. PUMAwill consist of various modules, representing the behaviours of specific actors. The land conversion module describes farmers’, authorities’, investors’ and developers’ decisions to sell or buy land and develop it into other uses. The households module describes households’ housing and work careers in relation to life cycle events (marriage, child birth, ageing, job change et cetera.) and also their daily activity patterns. The firms module includes firms’ demography and their related demand for production facilities leading to (re)location processes. The chapter describes the conceptual model, the first phase of operationalisation and initial results.
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ABSTRACT Multi-day activity-based models of travel demand are receiving increasing interest recently as successors of existing single-day activity-based models. In this article, we argue that predicting activity location choice-sets can... more
ABSTRACT Multi-day activity-based models of travel demand are receiving increasing interest recently as successors of existing single-day activity-based models. In this article, we argue that predicting activity location choice-sets can no longer be ignored when multi-day time frames are adopted in these models. We develop a model to predict activity location choice-sets and choices from these sets conditionally upon varying activity schedule contexts. We propose a method to estimate parameters of the involved utility functions that do not require observations or imputation of choice-sets. This is achieved by using Bayes’ method to transform the likelihood of chosen locations into a likelihood of attribute profiles of chosen locations. An application of the method using a national travel diary dataset illustrates the approach.
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Sökning: onr:"swepub:oai:DiVA.org:kau-15348" > Tillfredsställelse ... ... Friman, Margareta, 1970- (författare) Karlstads universitet, Fakulteten för ekonomi, kommunikation och IT, Samot - The service... more
Sökning: onr:"swepub:oai:DiVA.org:kau-15348" > Tillfredsställelse ... ... Friman, Margareta, 1970- (författare) Karlstads universitet, Fakulteten för ekonomi, kommunikation och IT, Samot - The service and market oriented research group Fujii, Satoshi (författare) Ettema, Dick (författare) visa fler... Gärling, Tommy (författare) Olsson, Lars E (författare) visa färre... Karlstads universitet Fakulteten för ekonomi, kommunikation och IT. 2012 Svenska. Relaterad länk: http://swepub.kb.se/... visa fler... http://www.kth.se/po... visa färre...
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“Peak car” and related discussions suggest that especially younger people (age cohort until 30) have less desire to drive and purchase cars. This might though only be true for a limited range of developed countries. This study aims to... more
“Peak car” and related discussions suggest that especially younger people (age cohort until 30) have less desire to drive and purchase cars. This might though only be true for a limited range of developed countries. This study aims to understand the role of personal background and the country context influencing mobility decisions of younger people in seven countries (China, Indonesia, Japan, Lebanon, Netherlands, Taiwan, and United States of America). The main foci of this research are undergraduate students where it is expected that their current attitudes and habits will influence their travel behavior after they graduate and obtain a job. A web survey questioned students about their attitudes towards car and public transportation, social norms, their socio-demographic situations, and current mobility patterns. We conducted a descriptive analysis as well as correlation analysis of the survey data focusing on explaining intentions to own a car in the future. We find that there is ...
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ABSTRACT Monetary budgets influence activity participation and related travel as they demarcate limits on how people organize their activities in time and space. In this paper, we are interested in money allocation to out-of-home leisure... more
ABSTRACT Monetary budgets influence activity participation and related travel as they demarcate limits on how people organize their activities in time and space. In this paper, we are interested in money allocation to out-of-home leisure activities and how this is affected by duration, sociodemographics, and time-location variables. Analyses were carried out by applying a seemingly unrelated regression model to a leisure activity data set. The analyses revealed that expenditures for out-of-home leisure activities are influenced by the variables mentioned above. Moreover, the results indicate that there is a substitution between expenditure of each activity.
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ABSTRACT Multi-day activity-based models of travel demand are receiving increasing interest recently as successors of existing single-day activity-based models. In this article, we argue that predicting activity location choice-sets can... more
ABSTRACT Multi-day activity-based models of travel demand are receiving increasing interest recently as successors of existing single-day activity-based models. In this article, we argue that predicting activity location choice-sets can no longer be ignored when multi-day time frames are adopted in these models. We develop a model to predict activity location choice-sets and choices from these sets conditionally upon varying activity schedule contexts. We propose a method to estimate parameters of the involved utility functions that do not require observations or imputation of choice-sets. This is achieved by using Bayes’ method to transform the likelihood of chosen locations into a likelihood of attribute profiles of chosen locations. An application of the method using a national travel diary dataset illustrates the approach.
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This paper explores the usefulness of cumulative prospect theory (CPT), an inductive–descriptive model for how people make choices with a priori unknown consequences, in the context of travelers’ coping with unreliable transport networks... more
This paper explores the usefulness of cumulative prospect theory (CPT), an inductive–descriptive model for how people make choices with a priori unknown consequences, in the context of travelers’ coping with unreliable transport networks through the estimation of coefficients characterizing CPT’s value and weighting functions. Attention is directed toward employed parents’ trips to collect their child(ren) from the nursery at the