from the paper: "This paper presents a research endeavouring to model site work in a 4D BIM model. Next simulations are performed with this model in 5 scenarios including specific interventions in work organisation, notably changing positons of facilities for site workers. A case study has been done in a construction project in the Netherlands. The research has showed the possibility to model time use of site workers in 4D BIM. Next the research has showed potential to perform and calculate specific interventions in the model, and prospect realistic changes in productive time use as a result."
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Challenges that surveys are facing are increasing data collection costs and declining budgets. During the past years, many surveys at Statistics Netherlands were redesigned to reduce costs and to increase or maintain response rates. From 2018 onwards, adaptive survey design has been applied in several social surveys to produce more accurate statistics within the same budget. In previous years, research has been done into the effect on quality and costs of reducing the use of interviewers in mixed-mode surveys starting with internet observation, followed by telephone or face-to-face observation of internet nonrespondents. Reducing follow-ups can be done in different ways. By using stratified selection of people eligible for follow-up, nonresponse bias may be reduced. The main decisions to be made are how to divide the population into strata and how to compute the allocation probabilities for face-to-face and telephone observation in the different strata. Currently, adaptive survey design is an option in redesigns of social surveys at Statistics Netherlands. In 2018 it has been implemented in the Health Survey and the Public Opinion Survey, in 2019 in the Life Style Monitor and the Leisure Omnibus, in 2021 in the Labour Force Survey, and in 2022 it is planned for the Social Coherence Survey. This paper elaborates on the development of the adaptive survey design for the Labour Force Survey. Attention is paid to the survey design, in particular the sampling design, the data collection constraints, the choice of the strata for the adaptive design, the calculation of follow-up fractions by mode of observation and stratum, the practical implementation of the adaptive design, and the six-month parallel design with corresponding response results.
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The environment of the(Dutch) building industry is increasingly turbulent. There are many cges for the building industry. Innovative tendering, better marketing, openness and transparency are examples of this. A strong reduction in failure costs (estimated at between 10 and 25% of the total costs) and an increase in quality are also necessary. Lastly, the declining inflow of young people has to be mentioned. The image of the building industry is not particularly good and students prefer to choose other industries. The building industry therefore has to change and, so far, everyone agrees. Evidently both the building industry and its environment are very keen to change; the sincere will is there, and money and energy are available, but it seems that efforts are not proceeding in a very planned or coordinated manner at present. And this is causing fragmentation and, therefore, sub optimisation. How does sectoral change proceed and how is this process to be managed? That is the central question in this paper.
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