Social work in the Netherlands is attracting an increasing number of Turkish and Moroccan Dutch professionals, mostly second-generation migrant women from a Muslim background. Inspired by Amartya Sen’s capability approach, this article presents the findings of a qualitative content analysis of 40 interviews with professionals by peers from the same background. The question is, what kind of professionals do these newly started social workers desire to be and what hindrances do they encounter? The professionals challenge the dominance of Western beliefs and values. This becomes tangible in their desires and constraints and especially in the process of choice.
Nature in cities serves a multitude of purposes, one of which is that it provides citizens opportunities to recover from stressful daily urban life. Such stress recovering effects of nature can be experienced through urban green, which in urban planning and design contexts can be divided into large natural areas - urban green space - and small scale elements in urban streets: the urban greenscape. The current study aims at finding the extent to which various small scale natural elements in residential streets and their possible configurations influence citizens' preferences for those streets. The research was conducted through an online survey in four cities in the Netherlands (n = 4,956). It used stated choice methods in a virtual environment street design. The method yielded high quality data, indicating that the use of virtual environments and imagery is suitable for stated choice research in the built environment. The results show that especially trees very strongly influence preference, indicating they deserve more attention and space in cities. Grass, which is typically favored by local governments, and vertical green have the smallest effects in residential streets. Furthermore, the concept of greenscape intensity is introduced as the intensities of both the element and the configuration were found to be highly relevant. The results clearly show that the higher either of these intensities, the more likely a respondent will prefer the greenscape design. Furthermore, low intensity on the one can be compensated by high intensity on the other. With these results, urban design professionals and local governments can better trade-off the different aspects of costs versus positive effects of urban greenscape designs.
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Purpose: This study aimed to determine the motivations of a select group of South Africans in terms of their potential engagement with cultural tourism; more specifically, the study set out to show whether these motivations influence the cultural activities that the tourists want to participate in and whether their interest in specific cultural activities determines their destination choices. Furthermore, the mediating role of activities in the relationship between cultural motivations and destination choice was also assessed. Design/methodology/approach: An online panel survey collected responses from 1,530 potential cultural tourists across South Africa. Hypotheses were tested, using structural equation modelling. Findings: The results show that tourists' motivations for cultural tourism influence their likelihood of participating in specific cultural activities. Cultural tourism is shown to be influenced by more than learning and includes entertainment, relaxation, novelty and escape dimensions. There also seems to be a difference in the activities engaged in by destination type. For example, tourists likely to take part in indigenous cultural tourism activities are more likely to do so at hedonic destinations. Practical implications: This paper contributes to the understanding of cultural tourism activities, aiding destinations in attracting cultural tourists. Destinations need to develop activities that match visitor motivations, increase satisfaction and encourage visitors to return. Originality/value: The paper increases the understanding of cultural tourism in South Africa and underlines the importance of communities in providing distinctive tourism activities. The study also has an important social dimension, highlighting the role of social status in cultural tourism consumption and destination selection.
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The Dutch main water systems face pressing environmental, economic and societal challenges due to climatic changes and increased human pressure. There is a growing awareness that nature-based solutions (NBS) provide cost-effective solutions that simultaneously provide environmental, social and economic benefits and help building resilience. In spite of being carefully designed and tested, many projects tend to fail along the way or never get implemented in the first place, wasting resources and undermining trust and confidence of practitioners in NBS. Why do so many projects lose momentum even after a proof of concept is delivered? Usually, failure can be attributed to a combination of eroding political will, societal opposition and economic uncertainties. While ecological and geological processes are often well understood, there is almost no understanding around societal and economic processes related to NBS. Therefore, there is an urgent need to carefully evaluate the societal, economic, and ecological impacts and to identify design principles fostering societal support and economic viability of NBS. We address these critical knowledge gaps in this research proposal, using the largest river restoration project of the Netherlands, the Border Meuse (Grensmaas), as a Living Lab. With a transdisciplinary consortium, stakeholders have a key role a recipient and provider of information, where the broader public is involved through citizen science. Our research is scientifically innovative by using mixed methods, combining novel qualitative methods (e.g. continuous participatory narrative inquiry) and quantitative methods (e.g. economic choice experiments to elicit tradeoffs and risk preferences, agent-based modeling). The ultimate aim is to create an integral learning environment (workbench) as a decision support tool for NBS. The workbench gathers data, prepares and verifies data sets, to help stakeholders (companies, government agencies, NGOs) to quantify impacts and visualize tradeoffs of decisions regarding NBS.
Our world is changing rapidly as a result of societal and technological developments that create new opportunities and challenges. Extended Realities (XR) could provide solutions for the problems the world is facing. In this project we apply these novel solutions in food and hospitality. It aims to tackle fundamental questions on how to stimulate a healthy and vital society that is based on a sustainable and innovative economy. This project aims to answer the question: How can Extended Reality (XR) technologies be integrated in the design of immersive food experiences to stimulate sustainable consumption behavior? A multidisciplinary approach, that has demonstrated its strength in the creative industry, will be applied in the hospitality and food sector. The project investigates implications and design considerations for immersion through XR technology that can stimulate sustainable consumption behavior. Based on XR prototypes, physiological data will be collected using biometric measuring devices in combination with self-reports. The effect of stimuli on sustainable consumption behavior during the immersive experience will be tested to introduce XR implementations that can motivate long-term behavioral change in food consumption. The results of the project contribute towards developing innovations in the hospitality sector that can tackle global societal challenges by exploiting the impact of new technology and understanding of consumer behavior to promote a healthy lifestyle and economy. Next to academic publications and conference contributions, the project will develop a handbook for hospitality professionals. It will outline steps and design criteria for the implementation of XR technologies to create immersive experiences that can stimulate sustainable consumption behavior. The knowledge generated in the project will contribute to the development of the curriculum at the Academy for Hotel and Facility at Breda University of Applied Sciences by introducing a technology-driven experience design approach for the course Sustainable Strategic Business Design.
Point-of-Care devices are broadly viewed as an important contribution to reduce the costs in our healthcare system. Cheap, quick, and reliable testing close to the point of need, can help early detection and thus reduce treatment costs, while improving the quality of life. An important challenge in the realization is the development of the individual cartridges that should be produced in large quantities at low costs. Especially for applications where high sensitivity is required, these cartrgidges will typically have a complex design. In this project we want to develop a manufacturing strategy for large scale production of cartridges based on photonic sensing chips, currently the most sensitive sensors available. A typical sensor cartridge with photonic sensors would comprise the sensor chip, an interface with active components (light source and detectors), the bio-active layer that captures the biomarkers to be detected and a protective package. In addition, there is the choice to integrate the active components in the package (making the interface an electrical one) or placing them in the read-out unit (making the interface an optical one). Finally, testing of the sensor cartridges should also be part of the process. A suitable manufacturing strategy would offer the lowest total-cost-of-ownership (TCO) of the production and use of the cartrdiges. Important in the considereations is that steps can be carried out at the wafer level, at the die level, and at the cartridge level. Because choices for a specific solution will strongly influence the possibilities for other steps, the development of a producitons strategy is far from straightforward. In this project we want to study the possibilities of the individual processes at the three levels mentioned (wafer, die, and cartridge), and in parallel develop a theoretical framework for finding the best strategy in this type of complex production processes.
