Occupational earnings in banking, selected metropolitan areas /

Description based on: 1985; title from caption.

Employment in metropolitan areas.

Mode of access: Internet.

Metropolitan areas, 1990 /

"PB90-214420."

Metropolitan areas, 1993 : Lists I-IV.

"June 30, 1993."

Occupational earnings in all metropolitan areas.

Description based on: July 1986; title from caption.

Housing in metropolitan areas, structural characteristics.

Mode of access: Internet.

Housing in metropolitan areas : motor vehicles available.

Mode of access: Internet.

Metropolitan areas.

Mode of access: Internet.

Housing in metropolitan areas, homeowner financial characteristics.

Mode of access: Internet.

Housing in metropolitan areas : renter financial characteristics.

Mode of access: Internet.

Housing in metropolitan areas : single-parent families.

Mode of access: Internet.

Libraries and open access: the implications of open-access publishing and dissemination for libraries in higher education institutions

This chapter discusses the consequences of open-access (OA) publishing and dissemination for libraries in higher education institutions (HEIs). Key questions (which are addressed in this chapter) include: 1. How might OA help information provision? 2. What changes to library services will arise from OA developments (particularly if OA becomes widespread)? 3. How do these changes fit in with wider changes affecting the future role of libraries? 4. How can libraries and librarians help to address key practical issues associated with the implementation of OA (particularly transition issues)? This chapter will look at OA from the perspective of HE libraries and will make four key points: 1. Open access has the potential to bring benefits to the research community in particular and society in general by improving information provision. 2. If there is widespread open access to research content, there will be less need for library-based activity at the institution level, and more need for information management activity at the supra-institutional or national level. 3. Institutional libraries will, however, continue to have an important role to play in areas such as managing purchased or licensed content, curating institutional digital assets, and providing support in the use of content for teaching and research. 4. Libraries are well-placed to work with stakeholders within their institutions and beyond to help resolve current challenges associated with the implementation of OA policies and practices.

Screening for drugs in oral fluid : illicit drug use and drug driving in a sample of urban and regional Queensland motorists

Police services in a number of Australian states and overseas jurisdictions have begun to implement or consider random road-side drug testing of drivers. This paper outlines research conducted to provide an estimate of the extent of drug driving in a sample of Queensland drivers in regional, rural and metropolitan areas. Oral fluid samples were collected from 2657 Queensland motorists and screened for illicit substances including cannabis (delta 9 tetrahydrocannibinol [THC]), amphetamines, ecstasy, and cocaine. Overall, 3.8% of the sample (n = 101) screened positive for at least one illicit substance, although multiple drugs were identified in a sample of 23 respondents. The most common drugs detected in oral fluid were ecstasy (n = 53), and cannabis (n = 46) followed by amphetamines (n = 23). A key finding was that cannabis was confirmed as the most common self-reported drug combined with driving and that individuals who tested positive to any drug through oral fluid analysis were also more likely to report the highest frequency of drug driving. Furthermore, a comparison between drug vs. drink driving detection rates for one region of the study, revealed a higher detection rate for drug driving (3.8%) vs. drink driving (0.8%). This research provides evidence that drug driving is relatively prevalent on Queensland roads, and may in fact be more common than drink driving. This paper will further outline the study findings’ and present possible directions for future drug driving research.

The effectiveness of using a simple ARIA based geographical classification to identify road crash patterns in rural and urban areas of Queensland

Research has noted a ‘pronounced pattern of increase with increasing remoteness' of death rates in road crashes. However, crash characteristics by remoteness are not commonly or consistently reported, with definitions of rural and urban often relying on proxy representations such as prevailing speed limit. The current paper seeks to evaluate the efficacy of the Accessibility / Remoteness Index of Australia (ARIA+) to identifying trends in road crashes. ARIA+ does not rely on road-specific measures and uses distances to populated centres to attribute a score to an area, which can in turn be grouped into 5 classifications of increasing remoteness. The current paper uses applications of these classifications at the broad level of Australian Bureau of Statistics' Statistical Local Areas, thus avoiding precise crash locating or dedicated mapping software. Analyses used Queensland road crash database details for all 31,346 crashes resulting in a fatality or hospitalisation occurring between 1st July, 2001 and 30th June 2006 inclusive. Results showed that this simplified application of ARIA+ aligned with previous definitions such as speed limit, while also providing further delineation. Differences in crash contributing factors were noted with increasing remoteness such as a greater representation of alcohol and ‘excessive speed for circumstances.' Other factors such as the predominance of younger drivers in crashes differed little by remoteness classification. The results are discussed in terms of the utility of remoteness as a graduated rather than binary (rural/urban) construct and the potential for combining ARIA crash data with census and hospital datasets.

Crime in Rural and Regional Areas

This Chapter provides an overview of available corrent data measuring crime in Australia's States and Territories broken down into regions and localities The data is limited, has reliability problems and lots of gaps. Nevertheless when the data are analysed according to offence type (in particulary violence versus property offences) an interesting but complicated empirical picture emerges that departs from what most scholars and policy makes have commonly assumed about crime and rural communities - that there is not much of it! The chapter begins with an assessment of the uses and limitations of different ways of measuring crime for those interested in a spatialised analysis of crome dispersion in rural communities.