927 resultados para Regional Planning Policy


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Notwithstanding the increasingly fragmented organizational relationships within Colombo's urban governance system, the cooperative nature of stakeholder relationships lends a high level of coherence to the overall system. Since 1995, Colombo's solid waste management system has been characterized by the increased role of the private sector, community-based organizations and NGOs. Whilst the increasingly fragmented nature of this system exhibits some deeply ingrained problems, there are also a number of positives associated with the increased role of civil society actors and, in particular, the informal sector. Reforming regulatory frameworks so as to integrate some of the social norms that are integral to the lives of the majority of urban residents will contribute to regulatory frameworks being considerably more enforceable than is currently the case. Such reform requires that institutional and regulatory frameworks need to be flexible enough to adapt to the changing social, political and economic context. In the Colombo case, effective cooperation between public sector and civil society stakeholders illustrates that adaptive institutional arrangements grounded in pragmatism are feasible. The challenge that arises is to translate these institutional arrangements into adaptive regulatory frameworks - something that would require a significant mind shift on the part of planners and urban managers.

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In recent years there has been a resurgence of decentralized social governance concerned with the spatial dimensions of disadvantage. This article examines aspects of this resurgence in the Australian state of Queensland where, after the hasty birth of 'place management' in response to the rise of 'Hansonism', a plethora of 'joined-up' policy initiatives were undertaken in relation to the regional dimensions of poverty. We propose that these trends reflect in part new ways of thinking about the spatial aspects of disadvantage which have emerged in recent years and which have the potential to take regional policy beyond the narrow confines imposed by neoliberal economic orthodoxy. These new ways of thinking have arisen in social policy through the refraining of disadvantage in terms of social exclusion and in regional economic policy through the influence of the so-called 'new regionalism'. The article shows how together these bodies of theory point us towards a new model of 'associational governance'. The article reviews recent Queensland experience and indicates those features of 'associational governance' which have become characteristic of locality-based social policy ideas in Queensland. 'Joined-up' and regional policy aspirations of the Queensland State government have shown the influence of these new approaches. The political and policy sustainability of these trends, however, is uncertain. The lingering shadow of managerialism and neoliberal policy frameworks remains a significant barrier to the innovation and viability of these approaches. More directly, the inherent limits of the 'local' or 'regional' initiatives in the face of broader national and global factors will significantly constrain the capacity of associational governance systems to deliver positive democratic, social and economic outcomes. The article examines recent Queensland policy refors in light of this complex set of factors and concludes by offering directions for future research and policy development.

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The paper presents a framework for small area population estimation that enables users to select a method that is fit for the purpose. The adjustments to input data that are needed before use are outlined, with emphasis on developing consistent time series of inputs. We show how geographical harmonization of small areas, which is crucial to comparisons over time, can be achieved. For two study regions, the East of England and Yorkshire and the Humber, the differences in output and consequences of adopting different methods are illustrated. The paper concludes with a discussion of how data, on stream since 1998, might be included in future small area estimates.

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There have been many models developed by scientists to assist decision-makers in making socio-economic and environmental decisions. It is now recognised that there is a shift in the dominant paradigm to making decisions with stakeholders, rather than making decisions for stakeholders. Our paper investigates two case studies where group model building has been undertaken for maintaining biodiversity in Australia. The first case study focuses on preservation and management of green spaces and biodiversity in metropolitan Melbourne under the umbrella of the Melbourne 2030 planning strategy. A geographical information system is used to collate a number of spatial datasets encompassing a range of cultural and natural assets data layers including: existing open spaces, waterways, threatened fauna and flora, ecological vegetation covers, registered cultural heritage sites, and existing land parcel zoning. Group model building is incorporated into the study through eliciting weightings and ratings of importance for each datasets from urban planners to formulate different urban green system scenarios. The second case study focuses on modelling ecoregions from spatial datasets for the state of Queensland. The modelling combines collaborative expert knowledge and a vast amount of environmental data to build biogeographical classifications of regions. An information elicitation process is used to capture expert knowledge of ecoregions as geographical descriptions, and to transform this into prior probability distributions that characterise regions in terms of environmental variables. This prior information is combined with measured data on the environmental variables within a Bayesian modelling technique to produce the final classified regions. We describe how linked views between descriptive information, mapping and statistical plots are used to decide upon representative regions that satisfy a number of criteria for biodiversity and conservation. This paper discusses the advantages and problems encountered when undertaking group model building. Future research will extend the group model building approach to include interested individuals and community groups.

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