Urban vulnerability in Sydney: Policy and institutional ambiguities in bushfire protection

Despite the inevitability of the bushfires hazard across the Sydney region, a mismatch exists between reactive technological fixes and proactive social programs which have far-reaching vulnerability and governance consequences. This paper questions the adequacy of current policy and action, revealing contradictions and tensions that expose Sydney's vulnerability and have implications for other Australian cities.

Integrating spatial optimization and cellular automata for evaluating urban change

Urban growth and change presents numerous challenges for planners and policy makers. Effective and appropriate strategies for managing growth and change must address issues of social, environmental and economic sustainability. Doing so in practical terms is a difficult task given the uncertainty associated with likely growth trends not to mention the uncertainty associated with how social and environmental structures will respond to such change. An optimization based approach is developed for evaluating growth and change based upon spatial restrictions and impact thresholds. The spatial optimization model is integrated with a cellular automata growth simulation process. Application results are presented and discussed with respect to possible growth scenarios in south east Queensland, Australia.

The net benefit of saving the Asian elephant: a policy and contingent valuation study

Reports results from a contingent valuation (CV) survey of willingness to pay (WTP) for the conservation of the Asian elephant of a sample of urban residents living in three selected housing schemes in Colombo, the capital of Sri Lanka. Face-to-face surveys were conducted using an interview schedule (IS). A non-linear logit regression model is used to analyse the respondents' responses for the payment principle questions and to identify the factors that influence their responses. We investigate whether urban residents' WTP for the conservation of elephants is sufficient to compensate farmers for the damage caused by elephants. We find that the beneficiaries (the urban residents) could compensate losers (the fanners in the areas affected by human-elephant conflict, HEC) and be better off than in the absence of elephants in Sri Lanka. Therefore, there is a strong economic case for the conservation of the wild elephant population in Sri Lanka. However, we have insufficient data to determine the optimal level of this elephant population in the Kaldor-Hicks sense. Nevertheless, the current population of elephant in Sri Lanka is Kaldor-Hicks preferable to having none. (C) 2003 Elsevier B.V. All rights reserved.

A way forward for land-use planning to achieve policy goals by using spatial modelling scenarios

This paper investigates how demographic (socioeconomic) and land-use (physical and environmental) data can be integrated within a decision support framework to formulate and evaluate land-use planning scenarios. A case-study approach is undertaken with land-use planning scenarios for a rapidly growing coastal area in Australia, the Shire of Hervey Bay. The town and surrounding area require careful planning of the future urban growth between competing land uses. Three potential urban growth scenarios are put forth to address this issue. Scenario A ('continued growth') is based on existing socioeconomic trends. Scenario B ('maximising rates base') is derived using optimisation modelling of land-valuation data. Scenario C ('sustainable development') is derived using a number of social, economic, and environmental factors and assigning weightings of importance to each factor using a multiple criteria analysis approach. The land-use planning scenarios are presented through the use of maps and tables within a geographical information system, which delineate future possible land-use allocations up until 2021. The planning scenarios are evaluated by using a goal-achievement matrix approach. The matrix is constructed with a number of criteria derived from key policy objectives outlined in the regional growth management framework and town planning schemes. The authors of this paper examine the final efficiency scores calculated for each of the three planning scenarios and discuss the advantages and disadvantages of the three land-use modelling approaches used to formulate the final scenarios.

Deregulation, competition policy and intra-professional contests in medical education

This paper investigates how government policy directions embracing deregulation and market liberalism, together with significant pre-existing tensions within the Australian medical profession, produced ground breaking change in the funding and delivery of medical education for general practitioners. From an initial view between and within the medical profession, and government, about the goal of improving the standards of general practice education and training, segments of the general practice community, particularly those located in rural and remote settings, displayed increasingly vocal concerns about the approach and solutions proffered by the predominantly urban-influenced Royal Australian College of General Practitioners (RACGP). The extent of dissatisfaction culminated in the establishment of the Australian College of Rural and Remote Medicine (ACRRM) in 1997 and the development of an alternative curriculum for general practice. This paper focuses on two decades of changes in general practice training and how competition policy acted as a justificatory mechanism for putting general practice education out to competitive tender against a background of significant intra-professional conflict. The government's interest in increasing efficiency and deregulating the 'closed shop' practices of professions, as expressed through national competition policy, ultimately exposed the existing antagonisms within the profession to public view and allowed the government some influence on the sacred cow of professional training. Government policy has acted as a mechanism of resolution for long standing grievances of the rural GPs and propelled professional training towards an open competition model. The findings have implications for future research looking at the unanticipated outcomes of competition and internal markets.