This paper examines how a serious game approach could support a participatory planning process by bringing stakeholders together to discuss interventions that assist the development of sustainable urban tourism. A serious policy game was designed and played in six European cities by a total of 73 participants, reflecting a diverse array of tourism stakeholders. By observing in-game experiences, a pre- and post -game survey and short interviews six months after playing the game, the process and impact of the game was investigated. While it proved difficult to evaluate the value of a serious game approach, results demonstrate that enacting real-life policymaking in a serious game setting can enable stakeholders to come together, and become more aware of the issues and complexities involved with urban tourism planning. This suggests a serious game can be used to stimulate the uptake of academic insights in a playful manner. However, it should be remembered that a game is a tool and does not, in itself, lead to inclusive participatory policymaking and more sustainable urban tourism planning. Consequently, care needs to be taken to ensure inclusiveness and prevent marginalization or disempowerment both within game-design and the political formation of a wider participatory planning approach.
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Digitalization is the core component of future development in the 4.0 industrial era. It represents a powerful mechanism for enhancing the sustainable competitiveness of economies worldwide. Diverse triggering effects shape future digitalization trends. Thus, the main research goal in this study is to use sustainable competitiveness pillars (such as social, economic, environmental and energy) to evaluate international digitalization development. The proposed empirical model generates comprehensive knowledge of the sustainable competitiveness-digitalization nexus. For that purpose, a nonlinear regression has been applied on gathered annual data that consist of 33 European countries, ranging from 2010 to 2016. The dataset has been deployed using Bernoulli’s binominal distribution to derive training and testing samples and the entire analysis has been adjusted in that context. The empirical findings of artificial neural networks (ANN) suggest strong effects of the economic and energy use indicators on the digitalization progress. Nonlinear regression and ANN model summary report valuable results with a high degree of coefficient of determination (R2>0.9 for all models). Research findings state that the digitalization process is multidimensional and cannot be evaluated as an isolated phenomenon without incorporating other relevant factors that emerge in the environment. Indicators report the consumption of electrical energy in industry and households and GDP per capita to achieve the strongest effect.
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The overall purpose of this consultancy was to support the activities under the Environmental Monitoring and Assessment Programme of the UN Economic Commission for Europe (UNECE) in developing the 7th pan-European environmental assessment, an indicator based and thematic assessment, implemented jointly with the United Nations Environment Programme (UNEP) and in support of the 2030 Agenda for Sustainable Development. The series of environmental assessments of the pan-European region provide up to-date and policy-relevant information on the interactions between the environment and society. This consultancy was to:> Draft the input on drivers and developments to chapter 1.2 of the assessment related to the environmental theme “4.2 Applying principles of circular economy to sustainable tourism”.> Suggest to UNECE and UNEP the most policy relevant indicators from UNECE-environmental, SDG indicators and from other indicator frameworks such as EEA or OECD for the environmental theme for the sub-chapter 4.2.> Assess the current state, trends and recent developments and prepare the substantive part of sub-chapter 4.2 (summary - part I) and an annex (part II) with the detailed analysis and findings.
Client: European Commission (DG-Enterprise), subcontracted through Comunitá Montana Associazione dei Comuni Trasimeno-Medio Tevere SLOW TOUR (Sustainable Lake Oriented Walking Tourism) is a project funded by the European Commission's DG Enterprise and Industry within the Programme Competiveness and Innovation Framework (CIP) under the call “Knowledge Networks for the competitiveness and sustainability of European tourism”.SLOW TOUR's goal is to make tourism on and around European lakes more sustainable and competitive. To achieve this, best-practices, certifications and networks in lake tourism were gathered and analysed within a coherent framework, leading to a “Manual of Excellence of Lake tourism in Europe” as its main product. CSTT's contribution was mainly focused on a Sustainability Impact Assessment of a number of European lake destinations, and the development of indicators and benchmarks for sustainable tourism products in lake areas.For SLOW TOUR, the NHTV Centre for Sustainable Tourism and Transport was subcontracted through Comunitá Montana Associazione dei Comuni Trasimeno - Medio Tevere (Italy). The other parties are Global Nature FUND, representing the Living Lakes network, and the University of Perugia. The project ran from June 2010 to November 2011.
SmartCulTour will propose and validate innovative interventions directed at sustainable cultural tourism that supports the development of European regions rich of tangible and intangible cultural assets.The project will focus on:. Concepts: By developing new definitions of (sustainable) cultural tourism, cultural tourism destinations, sustainable development, and resilience;• Measurement: By identifying and testing a framework of sustainability and resilience indicators and a Decision Support System for measuring and monitoring cultural tourism and its impacts;• Procedure: By testing and presenting innovative and creative tools for stakeholder engagement, particularly art-based methods, a serious game and service design;• Outcome: By recognizing state-of-the-art and innovative cultural tourism interventions through existing case studies and by trialling specific interventions within six community-led Living Labs.Partners:KU Leuven (Belgium), University of Split (Croatia), MODUL University Vienna (Austria), University of Lapland (Finland), Ca’Foscari Università di Venezia (Italy), UNESCO (France), CIHEAM-IAMZ (Spain), Toerisme Vlaanderen (Belgium), Quantitas (Italy)