Abstract Background: COVID-19 was first identified in December 2019 in the city of Wuhan, China. The virus quickly spread and was declared a pandemic on March 11, 2020. After infection, symptoms such as fever, a (dry) cough, nasal congestion, and fatigue can develop. In some cases, the virus causes severe complications such as pneumonia and dyspnea and could result in death. The virus also spread rapidly in the Netherlands, a small and densely populated country with an aging population. Health care in the Netherlands is of a high standard, but there were nevertheless problems with hospital capacity, such as the number of available beds and staff. There were also regions and municipalities that were hit harder than others. In the Netherlands, there are important data sources available for daily COVID-19 numbers and information about municipalities. Objective: We aimed to predict the cumulative number of confirmed COVID-19 infections per 10,000 inhabitants per municipality in the Netherlands, using a data set with the properties of 355 municipalities in the Netherlands and advanced modeling techniques. Methods: We collected relevant static data per municipality from data sources that were available in the Dutch public domain and merged these data with the dynamic daily number of infections from January 1, 2020, to May 9, 2021, resulting in a data set with 355 municipalities in the Netherlands and variables grouped into 20 topics. The modeling techniques random forest and multiple fractional polynomials were used to construct a prediction model for predicting the cumulative number of confirmed COVID-19 infections per 10,000 inhabitants per municipality in the Netherlands. Results: The final prediction model had an R2 of 0.63. Important properties for predicting the cumulative number of confirmed COVID-19 infections per 10,000 inhabitants in a municipality in the Netherlands were exposure to particulate matter with diameters <10 μm (PM10) in the air, the percentage of Labour party voters, and the number of children in a household. Conclusions: Data about municipality properties in relation to the cumulative number of confirmed infections in a municipality in the Netherlands can give insight into the most important properties of a municipality for predicting the cumulative number of confirmed COVID-19 infections per 10,000 inhabitants in a municipality. This insight can provide policy makers with tools to cope with COVID-19 and may also be of value in the event of a future pandemic, so that municipalities are better prepared.
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The purpose of this study is to show how local authorities (municipalities) deal with their community real estate. The study is an annually recurring research: every year since 2008 (except for 2013), Dutch municipalities have been asked to complete a questionnaire about how they manage their real estate. With these results it is possible to perform quantitative analyses on both trends and the current situation. The questionnaire responses have led to the following conclusions: (1) Half of the municipalities has a policy but takes few risk measures, (2) Withdrawing local government, (3) Management and operations most outsourced tasks, (4) Obstacles remain unchanged, (5) Cost reduction most relevant policy theme since 2009, (6) Relevance of some policy themes depends on municipality size, (7) More real estate is offered, smaller percentage is sold, 8) More FTEs for real estate management, especially executive tasks and (9) Conscious focus on quality. Dutch municipalities tune their new developments of the municipal real estate policy to the results of the Barometer for Municipal Community Real Estate. This leads to a further development of professionalism of the municipal real estate portfolios. The contribution to science is showing patterns of community real estate management at Dutch municipalities. A longitudinal study of this size on this subject is unique in The Netherlands.
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In June 2016, two Dutch SME companies which are active in the area of urban solid waste management approached the International Environmental Sciences department of Avans about the current R&D activities on urban solid waste management in cooperation with the Federal University of Minas Gerais (UFMG) Brazil. The companies had interest in developing activities in Brazil, since they are aware of the great potential for exporting both knowledge and technology. Solid waste poses a major problem in Brazil which affects 200 million residents. The Brazilian municipalities collect around 71 million tons solid municipal waste on a yearly basis and only a tiny percentage of this collected waste gets recycled. As such. the overwhelming majority of the collected urban solid waste goes to landfills. Within the State of Minas Gerais there are 850 towns of which 600 have less than 20.000 residents and are agriculturally oriented. Current organic waste composting practices take place under very poor conditions (pathogens and weeds still remain in the compost) and most often the resulting compost product is not well received by its residential and agricultural consumers. As such there is huge room for improvement. The SME companies work with Avans and UFMG to address these challenges. The joint research team consisting of the two Dutch SME companies and the two Research and educational institutes have defined the following research question: What is the current status of organic solid waste management in Minas Gerais and how can cooperation between Brazil and the Netherlands result in a win-win for both countries? Two individual KIEM VANG proposals have been defined in order to address these challenges. The planned activities are a joint effort with professor R. T. de Vasconcelos Barros of the Universidade Federal de Minas Gerais (UFMG) and are executed within the Living Lab Biobased Brazil program (www.biobasedbrazil.org).
The livability of the cities and attractiveness of our environment can be improved by smarter choices for mobility products and travel modes. A change from current car-dependent lifestyles towards the use of healthier and less polluted transport modes, such as cycling, is needed. With awareness campaigns, cycling facilities and cycle infrastructure, the use of the bicycle will be stimulated. But which campaigns are effective? Can we stimulate cycling by adding cycling facilities along the cycle path? How can we design the best cycle infrastructure for a region? And what impact does good cycle infrastructure have on the increase of cycling?To find answers for these questions and come up with a future approach to stimulate bicycle use, BUas is participating in the InterReg V NWE-project CHIPS; Cycle Highways Innovation for smarter People transport and Spatial planning. Together with the city of Tilburg and other partners from The Netherlands, Belgium, Germany and United Kingdom we explore and demonstrate infrastructural improvements and tackle crucial elements related to engaging users and successful promotion of cycle highways. BUas is responsible for the monitoring and evaluation of the project. To measure the impact and effectiveness of cycle highway innovations we use Cyclespex and Cycleprint.With Cyclespex a virtual living lab is created which we will use to test several readability and wayfinding measures for cycle infrastructure. Cyclespex gives us the opportunity to test different scenario’s in virtual reality that will help us to make decisions about the final solution that will be realized on the cycle highway. Cycleprint will be used to develop a monitoring dashboard where municipalities of cities can easily monitor and evaluate the local bicycle use.
