Measuring sustainability performance in Industrial parks: A Case Study of the Kwinana Industrial Area

Industrial parks/areas are increasingly required to substantiate their environmental and sustainability performance with increasing pressures from both government and the community. In order to address these pressures the Kwinana Industrial Area have started the development of a Sustainability Roadmap centred on a set of sustainability indicators developed through proactive and collaborative engagement involving all the industries in the industrial park together with the local community. Many of the currently available sustainability assessment frameworks have been tested at a national, state or organisational level, but have not yet found application in industrial areas and so-called ‘eco-industrial parks’. This paper discusses the early development of a Sustainability Roadmap for the Kwinana Industrial Area through the development of a matrix of sustainability indicators chosen and ratified by both industry players and the community hosting the industrial area

The Learning Tourism Destination: The potential of a learning organisation approach for improving the sustainability of tourism destinations

Globalisation, increasing complexity, and the need to address triple-bottom line sustainability has seen the proliferation of Learning Organisations (LO) who, by definition, have the capacity to anticipate environmental changes and economic opportunities and adapt accordingly. Such organisations use system dynamics modelling (SDM) for both strategic planning and the promotion of organisational learning. Although SDM has been applied in the context of tourism destination management for predictive reasons, the current literature does not analyse or recognise how this could be used as a foundation for an LO. This study introduces the concept of the Learning Tourism Destinations (LTD) and discusses, on the basis of a review of 6 case studies, the potential of SDM as a tool for the implementation and enhancement of collective learning processes. The results reveal that SDM is capable of promoting communication between stakeholders and stimulating organisational learning. It is suggested that the LTD approach be further utilised and explored

Sustainability indicators for tourism destinations: A complex adaptive systems approach using systemic indicator systems

This article discusses the necessity for complementing linear sustainability assessment tools, which disregard the complex and dynamic nature of tourism, with complex adaptive systems (CASs) approaches. A methodological framework for the selection and evaluation of sustainability indicators for tourism destinations, the systemic indicator system (SIS), is proposed; this framework takes the interrelatedness of sociocultural, economic and environmental issues into account. The SIS methodology is tested using a case study of a holiday eco-village project near Lamington National Park in Queensland, Australia. The results show that tourism destinations need to be viewed and studied as CASs, and that sustainability indicator systems need to be applied in the context of an adaptive management approach. Special attention is given to the capability of the SIS methodology as a decision aid for resort developers and planners to improve the effectiveness of measures for pollution prevention and mitigation

Tourism futures for the Ningaloo region: development of a destination model

The twin goals of the Ningaloo Destination and Data Modelling (NDDM) project are: to develop a dynamic model of Ningaloo incorporating socio-economic, and load implications of tourism that can be integrated with an ecological model of the region; and to effectively engage with stakeholders to build both trust in the model and group learning between researchers and stakeholders with respect to regional tourism planning and governance. Drawing its methodology from mediated modelling, which developed within learning organisations theory, and sustainable tourism planning, the NDDM project is engaging with stakeholders through public workshops, meetings and disseminating information through newsletters and the regional media. The finished model will be used by regional managers (in particular DEC, DPI and the Shires) to input into land and resource use decisions and by all stakeholders including community groups, the shires and the tourism industry, to collaboratively assess and discuss tourism planning in the region. The NDDM project is gathering primary data through surveys of visitors, residents and accommodation providers, and is engaging with other research projects, industries, and public agencies to gather and share secondary data. To date, the three most significant research outcomes are: four collated tourism scenarios for the region; the results of initial visitors surveys; and an early prototype of the Ningaloo Destination Model, that assesses the effects of changing the visitor mix on activities and accommodation demand in different subregions

Ningaloo Cluster Project 3: the Ningaloo Destination and Data Modelling project

The twin goals of the Ningaloo Destination and Data Modelling (NDDM) project are: to develop a dynamic model of Ningaloo incorporating socio-economic, and load implications of tourism that can be integrated with an ecological model of the region; and to effectively engage with stakeholders to build both trust in the model and group learning between researchers and stakeholders with respect to regional tourism planning and governance. Drawing its methodology from mediated modelling, which developed within learning organisations theory, and sustainable tourism planning, the NDDM project is engaging with stakeholders through public workshops, meetings and disseminating information through newsletters and the regional media. The finished model will be used by regional managers (in particular DEC, DPI and the Shires) to input into land and resource use decisions and by all stakeholders including community groups, the shires and the tourism industry, to collaboratively assess and discuss tourism planning in the region. The NDDM project is gathering primary data through surveys of visitors, residents and accommodation providers, and is engaging with other research projects, industries, and public agencies to gather and share secondary data. To date, the three most significant research outcomes are: four collated tourism scenarios for the region; the results of initial visitors surveys; and an early prototype of the Ningaloo Destination Model, that assesses the effects of changing the visitor mix on activities and accommodation demand in different subregions

Umweltmanagement in der metallverarbeitenden Industrie Leitfaden zur EG-Umwelt-Audit-Verordnung

SIGLEAvailable from TIB Hannover: F94B1936 / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekMinisterium fuer Umwelt des Landes Baden-Wuerttemberg, Stuttgart (Germany)DEGerman