Sportverenigingen in Nederland dragen bij aan een gezonde leefstijl, sociale cohesie en inclusieve sportdeelname. Ondanks dat de sportparticipatie toeneemt, hebben de clubs het moeilijk om hun ledental op peil te houden. Diverse ontwikkelingen spelen daarbij een rol. De focus van het onderzoek in dit proefschrift richt zich op twee maatschappelijke ontwikkelingen, ‘individualisering’ en ‘digitalisering’. In zeven studies wordt antwoord gegeven op twee onderzoeksvragen: 1) hoe het clubgevoel van leden van sportvereniging kan worden geconceptualiseerd in termen van definitie, voorspellers en opbrengsten en 2) hoe sociaalnetwerksites van sportverenigingen kunnen bijdragen het ontwikkelen van het clubgevoel van leden? Die studies vormen samen een multimethode onderzoek. Resultaten laten zien dat clubgevoel verwijst naar de gevoelsband van leden met hun club op basis van participatie, relevantie en de sociale wereld van de club. Clubgevoel hangt samen met bindingsaspecten zoals de intentie om je in te zetten voor de club en te blijven. Sociaalnetwerksites van sportverenigingen kunnen helpen om dit clubgevoel te ontwikkelen, bij voorkeur door de kanalen in te zetten voor informatie en interactie over de club, de sport en de leden. De online kanalen vormen samen de virtuele community van de vereniging die, afhankelijk van de aanpak door de club en de leden, verschillende verschijningvormen kan hebben. Met hun virtuele community bieden sportverenigingen, naast de accommodatie, ook een ónline ontmoetingsplek voor sport en andere activiteiten waarmee ze het clubgevoel onder hun leden kunnen bevorderen. Met dit proefschrift geeft Nanny Kuijsters inzichten voor de ontwikkeling van virtuele community’s voor verenigingen, professionals en geïnteresseerden in de georganiseerde sport.
Objectives To report (1) the injury incidence in recreational runners in preparation for a 8-km or 16-km running event and (2) which factors were associated withan increased injury risk. Methods Prospective cohort study in Amsterdam, the Netherlands. Participants (n=5327) received a baseline survey to determine event distance (8 km or 16 km), main sport, running experience, previous injuries, recent overuse injuries and personal characteristics. Three days after the race, they received a follow-up survey to determine duration of training period, running distance per week, training hours, injuries during preparation and use oftechnology. Univariate and multivariate regression models were applied to examine potential risk factors for injuries. Results 1304 (24.5%) participants completed both surveys. After excluding participants with current health problems, no signed informed consent, missing or incorrect data, we included 706 (13.3%) participants. In total, 142 participants (20.1%) reported an injury during preparation for the event. Univariate analyses (OR: 1.7, 95% CI 1.1 to 2.4) and multivariate analyses (OR: 1.7, 95% CI 1.1 to 2.5) showed that injury history was a significant risk factor for running injuries (Nagelkerke R-square=0.06). Conclusion An injury incidence for recreational runners in preparation for a running event was 20%. A previous injury was the only significant risk factor for runningrelated injuries.
National forestry Commission (SBB) and National Park De Biesbosch. Subcontractor through NRITNational parks with large flows of visitors have to manage these flows carefully. Methods of data collection and analysis can be of help to support decision making. The case of the Biesbosch National Park is used to find innovative ways to figure flows of yachts, being the most important component of water traffic, and to create a model that allows the estimation of changes in yachting patterns resulting from policy measures. Recent policies oriented at building additional waterways, nature development areas and recreational concentrations in the park to manage the demands of recreation and nature conservation offer a good opportunity to apply this model. With a geographical information system (GIS), data obtained from aerial photographs and satellite images can be analyzed. The method of space syntax is used to determine and visualize characteristics of the network of leisure routes in the park and to evaluate impacts resulting from expected changes in the network that accompany the restructuring of waterways.
While several governmental and research efforts are set upon mobility-as-a-service (MaaS), most of them are driven by individual travel behavior and potential usage. Scholars argue that this is a too narrow perspective when evaluating government projects because choices individuals make in a private setting might not accurately reflect their preferences towards public policy. Participatory Value Evaluation (PVE) is a novel evaluation framework specifically designed to alleviate this issue by analyzing preferences on the allocation of public budgets. Thus, based on PVE, this project aims at assessing different features of MaaS-services (e.g. enhancing mobility of the elderly and the poor, complementing public transport, etc.) from a social desirability perspective and compare them with investments in alternative social projects. Specifically, it aims at establishing the citizen value of MaaS as compared to social investments in green/recreational areas or transport infrastructure (e.g. bike or bus lanes), and eliciting trade-offs between different features of them. The project includes the selection of different investment projects (and their features) that are politically relevant in Rotterdam. It also includes a qualitative assessment on the way individuals evaluate different social projects and their features and a quantitative assessment based on choice models that allow eliciting trade-offs between different attributes and projects. Finally, policy recommendations are provided based on these results. They allow conceiving investments projects to maximize the societal benefits as well as to construct optimal investment portfolios. This information is to be used as a complement of the evaluation of projects on the basis of individual preferences.