The influence of the built environment on travel behaviour and the role of intervening variables such as socio-demographics and travel-related attitudes have long been debated in the literature. To date, most empirical studies have applied cross-sectional designs to investigate their bidirectional relationships. However, these designs provide limited evidence for causality. This study represents one of the first attempts to employ a longitudinal design on these relationships. We applied cross lagged panel structural equation models to a two-wave longitudinal dataset to assess the directions and strengths of the relationships between the built environment, travel behaviour and travel-related attitudes. Results show that the residential built environment has a small but significant influence on car use and travel attitudes. In addition, the built environment influenced travel-related attitudes indicating that people tend to adjust their attitudes to their built environment. This provides some support for land use policies that aim to influence travel behaviour.
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Limited evidence is available about (non)-representativeness of participants in health-promoting interventions. The Dutch Healthy Primary School of the Future (HPSF)-study is a school-based study aiming to improve health through altering physical activity and dietary behaviour, that started in 2015 (registered in ClinicalTrials.gov on14-06-2016, NCT02800616). The study has a response rate of 60%. A comprehensive non-responder analysis was carried out, and responders were compared with schoolchildren from the region and the Netherlands using a cross-sectional design. External sources were consulted to collect non-responder, regional, and national data regarding relevant characteristics including sex, demographics, health, and lifestyle. The Chi-square test, Mann-Whitney U test, or Student's t-test were used to analyse differences.
BACKGROUND: The number of mobile apps that support smoking cessation is growing, indicating the potential of the mobile phone as a means to support cessation. Knowledge about the potential end users for cessation apps results in suggestions to target potential user groups in a dissemination strategy, leading to a possible increase in the satisfaction and adherence of cessation apps.OBJECTIVE: This study aimed to characterize potential end users for a specific mobile health (mHealth) smoking cessation app.METHODS: A quantitative study was conducted among 955 Dutch smokers and ex-smokers. The respondents were primarily recruited from addiction care facilities and hospitals through Web-based media via websites and forums. The respondents were surveyed on their demographics, smoking behavior, and personal innovativeness. The intention to use and the attitude toward a cessation app were determined on a 5-point Likert scale. To study the association between the characteristics and intention to use and attitude, univariate and multivariate ordinal logistic regression analyses were performed.RESULTS: The multivariate ordinal logistic regression showed that the number of previous quit attempts (odds ratio [OR] 4.1, 95% CI 2.4-7.0, and OR 3.5, 95% CI 2.0-5.9) and the score on the Fagerstrom Test of Nicotine Dependence (OR 0.8, 95% CI 0.8-0.9, and OR 0.8, 95% CI 0.8-0.9) positively correlates with the intention to use a cessation app and the attitude toward cessation apps, respectively. Personal innovativeness also positively correlates with the intention to use (OR 0.3, 95% CI 0.2-0.4) and the attitude towards (OR 0.2, 95% CI 0.1-0.4) a cessation app. No associations between demographics and the intention to use or the attitude toward using a cessation app were observed.CONCLUSIONS: This study is among the first to show that demographic characteristics such as age and level of education are not associated with the intention to use and the attitude toward using a cessation app when characteristics related specifically to the app, such as nicotine dependency and the number of quit attempts, are present in a multivariate regression model. This study shows that the use of mHealth apps depends on characteristics related to the content of the app rather than general user characteristics.
Former military fortifications are often repurposed for tourism and recreation. While some of over 100 Dutch forts are recognized as UNESCO World Heritage sites, a substantial number are currently underdeveloped, putting their cultural and natural heritage at risk. Developing these forts in a conscious and collaborative way promises to not only preserve their heritage value, but also facilitate enjoyable and healthy experiences for visitors. Moreover, under-developed forts provide an opportunity to solve another pressing challenge, namely overtourism. Visitor pressure at tourist attractions has led the Netherlands Board of Tourism and Conventions to call for spreading visitors to lesser-known areas. Less-developed forts are among the most promising of these. Development initiatives depend on a transition from isolation to cooperation across sites. However, for cooperation to be effective, agencies managing these forts have indicated an urgent need for data on visitor characteristics and experiences. The purpose of the present project is to measure and analyze visitor demographics, motivations, and experiences at less-developed forts, and to develop a toolkit to inspire, support, and monitor development of these forts for natural and cultural heritage preservation and improved visitor experience. This proposal builds on the previous project, “Experiencing Nature” which utilized Breda Experience Lab technologies to measure visitor experiences at Fort de Roovere. We now aim to broaden this proven approach to a broader variety of forts, and to translate visitor data into actionable advice. The consortium includes a changemaking network of the Alliantie Zuiderwaterlinie (NL), Regionale Landschappen (VL), and Agentschap Natuur en Bos (VL). This Dutch-Flemish network aims to connect formerly isolated forts to one another, and represents a broad diversity of fortified sites, each with unique challenges. The project will thus facilitate interregional collaboration, especially toward coming Interreg EU proposals, and inform interregional marketing campaigns and planning for management and conservation.
Historical sites, specifically former military fortifications, are often repurposed for tourism and recreation. While some of over 100 Dutch forts are recognized as UNESCO World Heritage sites, a substantial number are currently underdeveloped, putting their heritage value and biodiversity at risk. This demands action, as forts are well-positioned to relieve overtourism in other locations, responding to the Netherlands Board of Tourism and Convention's call to spread visitors to lesser-known areas. Furthermore, developing lesser-known fort sites could provide tourism and recreation opportunities near populated areas, thus contributing to the well-being not only of visitors but also the environment. Development initiatives depend on a transition from isolation to cooperation across sites. However, for cooperation to be effective, enterprises and agencies managing these forts still lack data regarding visitor expectations and experiences. We will employ a multidisciplinary approach to capturing visitor demographics, motivations, and experiences, through conducting quantitative questionnaires, lab-driven physiological experience measurement, and location tracking. This proposal builds on the previous project, “Experiencing Nature”, funded by Centre of Expertise in Leisure, Tourism, and Hospitality, which utilized Breda Experience Lab technologies to explore visitor experiences at Fort de Roovere. In sum, the purpose of the present project is to measure and analyze visitor demographics, motivations, and experiences at less-developed forts, and to develop a toolkit to inspire, support, and monitor development of these forts for heritage preservation, visitor experience, and biodiversity. The project will be conducted in collaboration with Flemish partners, thereby forming the consortium comprised of the Alliantie ZuiderWaterlinie (NL), Regionale Landschappen (VL), and Agentschap Natuur en Bos (VL), with support from municipalities in both countries. The project will promote regional synergies and facilitate long-lasting cross-border collaboration, especially toward coming Interreg EU proposals, whilst informing the design of interregional marketing campaigns and supporting planning for visitor flows and biodiversity conservation efforts. Collaborative partnersNHL Stenden, Alliantie Zuidwaterlinie, RLRL, Agentschap Natuur en Bos.
How can European migration, between countries and within countries between regions, contribute to the development of vulnerable regions in Europe? This is the central question of project Premium_EU (Policy REcommendations to Maximise the beneficial Impact of Unexplored Mobilities in and beyond the European Union), which is financed by Horizon Europe.The key goal of Premium_EU is the development of a Regional Policy Dashboard for national and regional policy makers to help them in the formulation of new policies aimed at the potential of migration to enhance the development of vulnerable regions. The Dashboard combines all available knowledge of three domains in three modules: the Mobility Module, the Regional Development Effects Module, and the Policy Module.The Mobility Module includes both past trends and projections and scenarios, in addition to new mobility estimates based on data from social media usage, such as LinkedIn and Facebook. The module also includes qualitative information from case studies on specific types of mobility groups, such as Polish seasonal workers, or Turkish migrants to EU countries. These trends, projections and case studies will be summarized in a regional typology on the basis of the mobility profile of the region.In the Regional Development Effects Module all available data on regional development is summarized in a regional development typology, where regional development is interpreted much broader than economic development. Using causal models the role of regional mobility in regional development will be established.In the Policy Module all possible forms of regional policies will be collected and linked to the mobility- and regional development characteristics of the region.The Dashboard integrates these modules so that a policy maker, on the basis of the unique mobility and regional development profile of his or her region is able to make an evidence based choice out of a relevant set of policy options. Users of the Dashboard will also be able to add their experiences to the Dashboard, so that other users can benefit from their knowledge.
