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Antisocial behaviour including littering and graffiti, crime and social disorder pose an important social problem within contemporary cities. Perceptions regarding the extent of antisocial behaviour are likely to differ not only along socioeconomic and demographic lines of the individual but importantly are also likely to differ depending on the type of neighbourhood or community one resides in. In particular, it is often assumed that antisocial behaviour, both real and perceived, will be higher in localities characterised by higher levels of public housing. Situated broadly in the antisocial behaviour and neighbourhood effects/social mix literature this paper examines perceptions of antisocial behaviour reported in a large sample survey in Australia focusing specifically on how responses differ by the housing social mix characteristics of the neighbourhood the respondent lives in.

Particularly in the last decade, there have been a number of efforts to develop and then integrate planning support systems into existing geographic information systems. This integration brought a new technology called WebGIS, which enables geographic information systems functionalities through the Internet for decision support. No doubt there is a growing demand as more and more individuals want to use online government services to express their views and most importantly to take part in decisionmaking processes interactively. At this point, WebGIS offers a challenging opportunity for online participatory planning since the public could easily access alternative plans and the existing information in geographic information systems databases. This technology enables individuals to be able to take part in plan-making processes and contribute. This chapter explores how these new technological advances could achieve truly transparent plan-making process based on online participatory planning support tools that knowledge-based urban development could benefit from.

New national and international economic and social forces have reshaped national geographies in general and the characteristics of cities in particular, resulting in a range of diverse social and spatial outcomes. These outcomes, which include greater differentiation across, within and between cities has become a feature of the economic and social forces associated with post-Fordist social structures. Taking localities across Australia's metropolitan regions, this paper develops a typology of advantage and disadvantage using a model-based approach with clustering of data represented by a parameterised Gaussian mixture model and confidence intervals of the means providing a measure of differences between the clusters. The analysis finds seven clusters of localities that represent different aspects of the socio-spatial structure of the metropolitan regions studied.

Despite recent public attention to e-health as a solution to rising healthcare costs and an ageing population, there have been relatively few studies examining the geographical pattern of e-health usage. This paper argues for an equitable approach to e-health and attention to the way in which e-health initiatives can produce locational health inequalities, particularly in socioeconomically disadvantaged areas. In this paper, we use a case study to demonstrate geographical variation in Internet accessibility, Internet status and prevalence of chronic diseases within a small district. There are significant disparities in access to health information within socioeconomically disadvantaged areas. The most vulnerable people in these areas are likely to have limited availability of, or access to Internet healthcare resources. They are also more likely to have complex chronic diseases and, therefore, be in greatest need of these resources. This case study demonstrates the importance of an equitable approach to e-health information technologies and telecommunications infrastructure.