996 resultados para Main Roads, Queensland
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Includes bibliography
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This paper presents the results of applying DRAG methodology to the identification of the main factors of influence on the number of injury and fatal accidents occurring on Spain’s interurban network. Nineteen independent variables have been included in the model grouped together under ten categories: exposure, infrastructure, weather, drivers, economic variables, vehicle stock, surveillance, speed and legislative measures. Highly interesting conclusions can be reached from the results on the basis of the different effects of a single variable on each of the accident types according to severity. The greatest influence revealed by the results is exposure, which together with inexperienced drivers, speed and an ageing vehicle stock, have a negative effect, while the increased surveillance on roads, the improvement in the technological features of vehicles and the proportion of high capacity networks have a positive effect, since the results obtained show a significant drop in accidents.
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Improving the knowledge of demand evolution over time is a key aspect in the evaluation of transport policies and in forecasting future investment needs. It becomes even more critical for the case of toll roads, which in recent decades has become an increasingly common device to fund road projects. However, literature regarding demand elasticity estimates in toll roads is sparse and leaves some important aspects to be analyzed in greater detail. In particular, previous research on traffic analysis does not often disaggregate heavy vehicle demand from the total volume, so that the specific behavioral patternsof this traffic segment are not taken into account. Furthermore, GDP is the main socioeconomic variable most commonly chosen to explain road freight traffic growth over time. This paper seeks to determine the variables that better explain the evolution of heavy vehicle demand in toll roads over time. To that end, we present a dynamic panel data methodology aimed at identifying the key socioeconomic variables that explain the behavior of road freight traffic throughout the years. The results show that, despite the usual practice, GDP may not constitute a suitable explanatory variable for heavy vehicle demand. Rather, considering only the GDP of those sectors with a high impact on transport demand, such as construction or industry, leads to more consistent results. The methodology is applied to Spanish toll roads for the 1990?2011 period. This is an interesting case in the international context, as road freight demand has experienced an even greater reduction in Spain than elsewhere, since the beginning of the economic crisis in 2008.
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This layer is a georeferenced raster image of the historic paper map entitled: Queensland and British New Guinea : prepared for educational purposes, Survey Deptartment, Brisbane. It was published by The Dept. in 1896. Scale [ca. 1:1,710,720]. This layer is image 1 of 2 total images of the two sheet source map, representing north portion of the map. Covers primarily northeast Australia and a portion of Papua New Guinea.The image inside the map neatline is georeferenced to the surface of the earth and fit to the Geocentric Datum of Australia 1994 Map Grid of Australia Zone 54 projected coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, railroads and stations, drainage, coastal features, selected places of interest, administrative boundaries, and more. Relief shown by shading and spot heights. This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.
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This layer is a georeferenced raster image of the historic paper map entitled: Queensland and British New Guinea : prepared for educational purposes, Survey Deptartment, Brisbane. It was published by The Dept. in 1896. Scale [ca. 1:1,710,720]. This layer is image 2 of 2 total images of the two sheet source map, representing south portion of the map. Covers primarily northeast Australia and a portion of Papua New Guinea.The image inside the map neatline is georeferenced to the surface of the earth and fit to the Geocentric Datum of Australia 1994 Map Grid of Australia Zone 54 projected coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, railroads and stations, drainage, coastal features, selected places of interest, administrative boundaries, and more. Relief shown by shading and spot heights. This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.
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This layer is a georeferenced raster image of the historic paper map entitled: Hafen-und Industrie-Anglagen im Osten der Stadt Frankfurt a. M., Tiefbau-Amt. Direktion des städt Hafen-Brücken-u. Kanalbaues. It was published by Rathaus Südabau in 1911. Scale 1:20,000. Covers Frankfurt am Main, Germany. Map in German.The image inside the map neatline is georeferenced to the surface of the earth and fit to the Deutsches Hauptdreiecksnetz (DHDN) 3-degree Gauss-Kruger Zone 3 coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, railroads and stations, drainage, built-up areas and selected buildings, industry locations, ground cover, parks, and more. This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.
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This layer is a georeferenced raster image of the historic paper map entitled: Frankfort = (Frankfurt) (Am Mayn), drawn by W.B. Clarke, archt. ; engraved by T.E. Nicolson. It was published under the superintendence of the Society for the Diffusion of Useful Knowledge [by] George Cox, Jan. 1, 1853. Scale [ca. 1:6,450]. Covers Frankfurt am Main, Germany. Map primarily in English The image inside the map neatline is georeferenced to the surface of the earth and fit to the 'Deutsches Hauptdreiecksnetz (DHDN) Gauss Kruger Zone 3, Rauenberg Datum' coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, railroads and stations, drainage, canals, built-up areas and selected buildings, fortification, ground cover, and more. Includes: View of Frankfort from Sachsenhausen. This layer is part of a selection of digitally scanned and georeferenced historic maps from The Harvard Map Collection as part of the Imaging the Urban Environment project. Maps selected for this project represent major urban areas and cities of the world, at various time periods. These maps typically portray both natural and manmade features at a large scale. The selection represents a range of regions, originators, ground condition dates, scales, and purposes.
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This layer is a georeferenced raster image of the historic paper map entitled: Plan von Frankfurt [a], M. It was published ca. 1863. Scale [ca. 1:13,400]. Covers Frankfurt am Main, Germany. Map in German. The image inside the map neatline is georeferenced to the surface of the earth and fit to the 'Deutsches Hauptdreiecksnetz (DHDN) Gauss Kruger Zone 3, Rauenberg Datum' coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, railroads and stations, drainage, built-up areas and selected buildings, fortification, ground cover, and more. Includes index to places of interest. This layer is part of a selection of digitally scanned and georeferenced historic maps from The Harvard Map Collection as part of the Imaging the Urban Environment project. Maps selected for this project represent major urban areas and cities of the world, at various time periods. These maps typically portray both natural and manmade features at a large scale. The selection represents a range of regions, originators, ground condition dates, scales, and purposes.
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This layer is a georeferenced raster image of the historic paper map entitled: Pharus-plan Frankfurt A/M, Urheber der Pharus-Pläne, Corn. Loewe. It was published by Pharus-Verlag in 1910. Scale 1:10,200. Covers Frankfurt am Main, Germany. Map in German. The image inside the map neatline is georeferenced to the surface of the earth and fit to the 'Deutsches Hauptdreiecksnetz (DHDN) Gauss Kruger Zone 3, Rauenberg Datum' coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, street car lines, railroads and stations, drainage, canals, built-up areas and selected buildings, ground cover, parks, and more. Relief shown pictorially. This layer is part of a selection of digitally scanned and georeferenced historic maps from The Harvard Map Collection as part of the Imaging the Urban Environment project. Maps selected for this project represent major urban areas and cities of the world, at various time periods. These maps typically portray both natural and manmade features at a large scale. The selection represents a range of regions, originators, ground condition dates, scales, and purposes.
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This layer is a georeferenced raster image of the historic paper map entitled: Urban Calcutta : the existing street and main road system of Calcutta, E.P. Richards, M. Inst., C.E. It was published by Calcutta Improvement Trust in 1910. Scale [1:21,120]. Covers Kolkata, India. The image inside the map neatline is georeferenced to the surface of the earth and fit to the 'WGS 1984 UTM Zone 45N' coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, railroads, drainage, selected buildings, fortification, docks, and more. This layer is part of a selection of digitally scanned and georeferenced historic maps from The Harvard Map Collection as part of the Imaging the Urban Environment project. Maps selected for this project represent major urban areas and cities of the world, at various time periods. These maps typically portray both natural and manmade features at a large scale. The selection represents a range of regions, originators, ground condition dates, scales, and purposes.
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Parts 2, 3, 6 bound with the main work.
Multisite, quality-improvement collaboration to optimise cardiac care in Queensland public hospitals
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Objective: To evaluate changes in quality of in-hospital care of patients with either acute coronary syndromes (ACS) or congestive heart failure (CHF) admitted to hospitals participating in a multisite quality improvement collaboration. Design: Before-and-after study of changes in quality indicators measured on representative patient samples between June 2001 and January 2003. Setting: Nine public hospitals in Queensland. Study populations: Consecutive or randomly selected patients admitted to study hospitals during the baseline period (June 2001 to January 2002; n = 807 for ACS, n = 357 for CHF) and post-intervention period (July 2002 to January 2003; n = 717 for ACS, n = 220 for CHF). Intervention: Provision of comparative baseline feedback at a facilitative workshop combined with hospital-specific quality-improvement interventions supported by on-site quality officers and a central program management group. Main outcome measure: Changes in process-of-care indicators between baseline and post-intervention periods. Results: Compared with baseline, more patients with ACS in the post-intervention period received therapeutic heparin regimens (84% v 72%; P < 0.001), angiotensin-converting enzyme inhibitors (64% v 56%; P = 0.02), lipid-lowering agents (72% v 62%; P < 0.001), early use of coronary angiography (52% v 39%; P < 0.001), in-hospital cardiac counselling (65% v 43%; P < 0.001), and referral to cardiac rehabilitation (15% v 5%; P < 0.001). The numbers of patients with CHF receiving β-blockers also increased (52% v 34%; P < 0.001), with fewer patients receiving deleterious agents (13% v 23%; P = 0.04). Same-cause 30-day readmission rate decreased from 7.2% to 2.4% (P = 0.02) in patients with CHF. Conclusion: Quality-improvement interventions conducted as multisite collaborations may improve in-hospital care of acute cardiac conditions within relatively short time frames.
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This study surveys the population genetic structure of Childers canegrub, Antitrogus parvulus, to elucidate its population dynamics and gene flow. Antitrogus parvulus is a pest of sugarcane in the Bundaberg region and this knowledge can be used to optimise integrated pest management practices. Here, base-pair differences in the cytochrome oxidase II gene (COII) were used to characterise haplotypic diversity, infer levels of gene flow, and phylogenetic relationships of alleles and their phylogeographical structure. There were 28 unique haplotypes among the 70 sequenced individuals from the seven locations. All three variance components (among regions, among populations, within populations) are highly significant, with highest genetic diversity among regions and lowest among populations within regions. A positive correlation between migration rates and geographical distance and significant phylogeographical structure between four main geographical regions. The main implication of these findings for pest management is that if a grower can eliminate an existing infestation within a field, then reinvasion will be slow and further outbreaks within that field are unlikely to occur. The low dispersal ability of females also means that any resistance to insecticides that develops is likely to remain localised, but will rapidly become dominant within the affected population.
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Meningococcal disease is a rare but potential killer in both adults and children. Community acquired meningococcal disease is caused by a variety of serogroups of Neisseria meningitides. Of the five main subgroups, A, B, C, W135 and Y, serogroups, A and Y are rarely identified in Australia. Alternatively, Serogroup B accounts for the highest number of cases followed by serogroup C strains. Meningococcal infection causes two distinct clinical profiles, though dual presentations are not uncommon. The first, meningitis presenting alone, is the more common form of infection and requires urgent but not immediate medical treatment. Conversely the second presentation, meningococcal septicaemia, is considered a medical emergency. In Queensland, careful and detailed consideration of the evidence for introduction of benzyl penicillin for the prehospital treatment of meningococcal septicaemia has been conducted. Notwithstanding the seriousness of the septicaemic presentation, these reviews have resulted in the decision not to introduce this drug in the ambulance service at the time. This paper describes the reasoning behind these decisions.
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The loss and fragmentation of forest habitats by human land use are recognised as important factors influencing the decline of forest-dependent fauna. Mammal species that are dependent upon forest habitats are particularly sensitive to habitat loss and fragmentation because they have highly specific habitat requirements, and in many cases have limited ability to move through and utilise the land use matrix. We addressed this problem using a case study of the koala (Phascolarctos cinereus) surveyed in a fragmented rural-urban landscape in southeast Queensland, Australia. We applied a logistic modelling and hierarchical partitioning analysis to determine the importance of forest area and its configuration relative to site (local) and patch-level habitat variables. After taking into account spatial auto-correlation and the year of survey, we found koala occurrence increased with the area of all forest habitats, habitat patch size and the proportion of primary Eucalyptus tree species; and decreased with mean nearest neighbour distance between forest patches, the density of forest patches, and the density of sealed roads. The difference between the effect of habitat area and configuration was not as strong as theory predicts, with the configuration of remnant forest becoming increasingly important as the area of forest habitat declines. We conclude that the area of forest, its configuration across the landscape, as well as the land use matrix, are important determinants of koala occurrence, and that habitat configuration should not be overlooked in the conservation of forest-dependent mammals, such as the koala. We highlight the implications of these findings for koala conservation. (c) 2006 Elsevier Ltd. All rights reserved.