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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Personal data is increasingly used by cities to track the behavior of their inhabitants. While the data is often used to mainly provide information to the authorities, it can also be harnessed for providing information to the citizens in real-time. In an on-going research project on increasing the awareness of motorists w.r.t. the environmental consequences of their driving behavior, we make use of sensors, artificial intelligence, and real-time feedback to design an intervention. A key component for successful deployment of the system is data related to the personal driving behavior of individual motorists. Through this outset, we identify challenges and research questions that relate to the use of personal data in systems, which are designed to increase the quality of life of the inhabitants of the built environment.
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Abstract The Government of the Netherlands wants to be energy neutral by 2050 (Rijksoverheid, sd). A transition towards non-fossil energy sources also affects transport, which is one of the industries significantly contributing to CO2 emission (Centraal Bureau Statistiek, 2019). Road authorities at municipalities and provinces want a shift from fossil fuel-consuming to zero-emission transport choices by their inhabitants. For this the Province of Utrecht has data available. However, they struggle how to deploy data to positively influence inhabitants' mobility behavior. A problem analysis scoped the research and a survey revealed the gap between the province's current data-item approach that is infrastructure oriented and the required approach that adopts traveler’s personas to successfully stimulate cycling. For this more precisely defined captured data is needed and the focus should shift from already motivated cyclists to non-cyclers.
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This booklet holds a collection of drawings, maps, schemes, collages, artistic impressions etc. which were made by students during an intense design moment in the project (re)CYCLE Limburg, which took place in December 2016. Students of Built Environment, Facility Management, Social Work and Health & Care cooperated in making designs and developing strategies for urban renewal in Kerkrade West (Province of Limburg, the Netherlands). The study focused on the importance of qualitative and shared public spaces. The local community (inhabitants, shopkeepers, entrepreneurs, municipality, housing corporation) was actively engaged by sharing knowledge and information, ideas and opinions. These reflections are part of the Limburg Action Lab (part of the Smart Urban Redesign Research Centre). It engages in research by design on innovative and tactical interventions in public space, that might enhance the identity, sustainability and socio-spatial structure of neighbourhoods.
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The Noordwaard is a recently realised high water floodplain near Dordrecht. The design plan of the Noordwaard is an answer to the increasing river discharge extremes, combining water safety, agriculture, recreation and nature management. However, in terms of governance a gap has emerged. The Department of Water management and Public Works (RWS) had been the main driver in this redevelopment project, being both landowner and project developer. However, there was no plan for the governance of the area after completion, while institutional settings are required to maintain the floodplain in an integrated way. The area has a high potential for the development of different ecosystem services, thus it has the potential to stimulate economic growth in the area. Which leads us to the following question: to what extent does the layout comply with the recreational wishes of the inhabitants and other stakeholders in the area?
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Machine learning models have proven to be reliable methods in classification tasks. However, little research has been conducted on the classification of dwelling characteristics based on smart meter and weather data before. Gaining insights into dwelling characteristics, which comprise of the type of heating system used, the number of inhabitants, and the number of solar panels installed, can be helpful in creating or improving the policies to create new dwellings at nearly zero-energy standard. This paper compares different supervised machine learning algorithms, namely Logistic Regression, Support Vector Machine, K-Nearest Neighbor, and Long-short term memory, and methods used to correctly implement these algorithms. These methods include data pre-processing, model validation, and evaluation. Smart meter data, which was used to train several machine learning algorithms, was provided by Groene Mient. The models that were generated by the algorithms were compared on their performance. The results showed that the Long-short term memory performed the best with 96% accuracy. Cross Validation was used to validate the models, where 80% of the data was used for training purposes and 20% was used for testing purposes. Evaluation metrics were used to produce classification reports, which indicates that the Long-short term memory outperforms the compared models on the evaluation metrics for this specific problem.
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The Netherlands is known globally for its widespread use of bicycles and some call it a “cycling nation”. Indeed, many Dutch inhabitants own a bike and cycle frequently. Numbers show that 84% of the Dutch inhabitants from age 4 years and older own a bike. Those owners have an average of 1.3 bikes per person. This results in 18 million bikes in the Netherlands and 13.5 million bike owners.6 The Dutch use their bike as a means of transportation, but also for sports and exercise. Bike-use fits well in an active lifestyle and it is highly plausible that cycling is responsible for a large part of the daily physical activity in Dutch youth. It is estimated that Dutch people have on average a 6 months longer life expectancy attributable to bicycle use.7 It seems that the nation itself is well shaped to cycle: no large mountains, only a few small hills, and an extensive layout of cycle paths and routes in every city and village. In many urban areas separate cycle paths are very common. Our results show that many Dutch children use the bike as their way of transportation. It was demonstrated that active transportation is responsible for a large part of schoolrelated physical activity in Dutch youth.8 80% of 12-17 year-old children cycled three or more days to or from school/work.9 This resulted in an ‘A’ for the indicator active transportation (walking is included in the grade as well). Active transport is associated with increased total physical activity among youth.10,11 Also evidence is reported for an association between active transport and a healthier body composition and healthier level of cardiorespiratory fitness among youth. Although Dutch children accumulate a lot of daily physical activity through cycling, it is not enough to meet the current national physical activity guidelines of 60 minutes of moderate-to-vigorous physical activity per day. Even though cycling is an important component to the amount of daily physical activity, Dutch youth are not cycling to health
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Paper prepared for the Future of Journalism Conference, Cardiff, September 2011 Newspapers, particularly in the Western world, have seen paid circulation decline in the last decade. Online news is abundantly available, but at the same time newspapers – in print and online - often serve as sources for other media. Their position is definitely weaker than before, but it would be an exaggeration to write their obituary right now. In this research we track the significance of newspapers in 160 countries worldwide by calculating how many people use daily newspapers and how this changed over the last decade. We compare countries and continents, and distinguish between paid and free newspapers. Results show that newspapers are particularly significant – with more than 50% of the population reading a newspaper on a daily basis - in sixteen countries in Europe (mainly in Nordic and Western Europe) and ten countries in Asia (Japan, Hong Kong, Taiwan, South Korea, Singapore, Macau and some Gulf states). Most African, Asian and South American countries show a very low penetration of newspapers. Free dailies, however, have increased the presence of newspapers in Europe and some Asian and American countries. When shifts over the years are analyzed, the decline of newspapers mainly shows in Europe, Northern America, Australia and New Zealand although newspapers are still very well read in those areas. In Asia newspaper penetration has increased over the last decade. Latin America shows a stable penetration with population growing fast. In Africa there are only two copies of newspapers distributed per 100 inhabitants, a number that has not changed over the last decade.
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More and more people worldwide live in urban areas, and these areas face many problems, of which a sustainable food provision is one. In this paper we aim to show that a transition towards more sustainable, regionally organized food systems strongly contributes to green, livable cities. The article describes a case study in the Dutch region of Arnhem–Nijmegen. Partners of a network on sustainable food in this region were interviewed on how they expect the food system to develop, and in design studies possible futures are explored. Both the interviews and the designs give support to the idea that indeed sustainable food systems can be developed to contribute to green livable cities. They show that the quality and meaning of existing green areas can be raised; new areas can be added to a public green system, and connections with green surroundings are enforced. They also show that inhabitants or consumers can be stimulated to become so called food citizens, highlighting that the relation of food systems and livable cities is a very close one.
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Ecocentrism is the broadest term for worldviews that recognize intrinsic value in all lifeforms and ecosystems themselves, including their abiotic components. Anthropocentrism, in contrast, values other lifeforms and ecosystems insofar as they are valuable for human well-being, preferences and interests. Herein, the authors examine the roots of ecocentrism and discuss its mixed history of international recognition. They argue that non-human nature has intrinsic value irrespective of human preferences or valuation, and they refute the claim that ecocentrism is misanthropic. They then summarize four key examples from the academic literature in which anthropocentrism fails to provide an ethic adequate for respecting and protecting planet Earth and its inhabitants. The authors conclude that ecocentrism is essential for solving our unprecedented environmental crisis, arguing its importance from four perspectives: ethical, evolutionary, spiritual and ecological. They contend that a social transformation towards ecocentrism is not only an ethical but a practical imperative, and they urge support for ecocentric understanding and practices. https://www.ecologicalcitizen.net/article.php?t=why-ecocentrism-key-pathway-sustainability https://www.linkedin.com/in/helenkopnina/
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