Road Traffic Noise Prediction Using Object-Oriented and Geographic Information System Technologies

Author(s):  
J.A. Black ◽  
S.E. Samuels ◽  
U. Vandebona ◽  
E. Masters ◽  
J.C. Trinder ◽  
...  

It is now some 4 years since the New South Wales Roads and Traffic Authority (RTA) interim noise policy was released. The document sets out RTA policies on traffic noise along with guidelines relating to assessment and control. It is perhaps the most extensive document on the topic ever produced by an Australian road authority. The underlying philosophy of the policy is the importance of noise as an issue that must be addressed in all aspects of RTA road planning, design, construction, maintenance, and operation programs. Some recent advances in the traffic noise arena are considered. A spatial decision support system is then outlined for road planning that has been developed as part of an Australian Research Council industry collaborative research grant involving RTA and the University of New South Wales. This is built on object-oriented programming and geographic information system technologies and involves a library containing models in eight domains amounting to 33,000 lines of code. The noise estimation procedure included in this system is described together with how it has been adapted and implemented in an object-oriented way. Speculation is made on how the prototype may be integrated into the emerging corporate responsibilities of RTA in the area of communication and consultation.

2002 ◽  
Vol 8 (4) ◽  
pp. 235 ◽  
Author(s):  
David Scotts ◽  
Graham R. Fulton ◽  
Michael Drielsma

Habitat loss, degradation and fragmentation are heavily implicated in the decline of biodiversity throughout the world. Numerous conservation programmes have emerged in the attempt to deal with these primary threats but they are often isolated and disparate, foregoing opportunities for integrated, cumulative approaches and benefits. This paper describes an approach that, through the integration of species' modelled distributions, and the application of landscape ecology principles, systematically considers the spatial requirements of priority forest fauna as surrogates for biodiversity across the landscape. With the aid of innovative Geographic Information System analysis tools, key habitats and corridors for priority faunal assemblages are delineated across north-east New South Wales. The mapped outputs from this study provide spatially complete, data-driven, systematically derived conservation frameworks for the region. The frameworks provide an explicit basis for regional protected area networks and a landscape context for regional conservation planning. As predicted high conservation value habitats, the mapped key habitats and corridors are also focus areas for the protection, enhancement and restoration of native vegetation. The Geographic Information System-referenced key habitats and corridors conservation frameworks have been adopted for conservation planning in north-east New South Wales, including "off-reserve" planning (e.g., government and community-based programmes at regional, catchment and local levels), and "on-reserve" planning (e.g., national park and nature reserve management planning). The approach is applicable to other regions, wherever Geographic Information System-based spatial mapping, describing habitat quality for fauna species, can be collated.


1998 ◽  
Vol 20 (1) ◽  
pp. 26 ◽  
Author(s):  
DB Gardiner ◽  
GJ Tupper ◽  
GS Dundeon

Landsat Multispectral Scanner (MSS) digital imagery was used to estimate the distribution, density and change in woody shrub cover over time in western New South Wales. The purpose of the project was to derive maps of woody cover which can be used as a basis for regional planning and property planning. Assessment of woody vegetation cover using satellite imagery enables regions which are more susceptible to shrub encroachment to be targeted for control strategies. Dry season images which had minimal green vegetation were used, because the spectral signatures of scrubby ground cover interfered with the proper classification of woody vegetation. For each region, multidate imagery was classified using a pixel unmixing algorithm to derive data sets which showed woody canopy cover. These data were then rescaled to percentage values using aerial photography sampled throughout each region. A geographic information system (GIS) was used to derive changes in woody cover between both dates and to present the data in map form. Most current woody cover in the study area occurs at less than 20% cover, whilst higher levels (40 to 80%) occur in the eastern parts of the Louth and Barnato regions. At least 20,3 10 km2 of the 120,000 km2 study area is already affected by woody vegetation cover levels of greater than 40%, which significantly reduces carrying capacity and pastoral productivity. Changes in woody cover over a 10 to 20 year period were varied. Approximately 24% (26,041 km2) was relatively stable, whilst 20% of the Barnato region had moderate decreases (1 1 to 30%) due to wildfires, and increases of 11 to 30% cover occurred on 'hard red' soils in the east. Emerging woody vegetation of less than 10% cover occurred over 1816 km2 of Sandplains and Stony Lowlands in the Louth and Barnato regions, whilst woody vegetation levels of more than 40% cover occurred in the Barnato region. Considerable 'infilling' of previously unwooded areas was noted for regions which already had high levels of woody cover. A minimal amount of prescribed clearing was apparent from the change data, which suggests that effective control of shrubs is difficult to achieve and that future scenarios will see continued encroachment. The findings suggest that the southern Louth and Barnato regions are most at risk of further shrub encroachment, and that these areas need to be targeted for shrub control. The data provide a quantitative estimate of woody shrub cover which is useful for economic assessments, as well as providing an information base upon which woody shrub management strategies can be developed. Key words: Landsat Multispectral Scanner, remote sensing, geographic information system, change detection, rangeland, monitoring, land cover.


Author(s):  
Ferly Ardhy

Geographic Information System is a special information system that manages data that has spatial information (spatial reference). Or in a narrower sense, is a computer system that has the ability to build, store, manage and display geo-referenced information, such as data identified by its location in a database. With this rapid technological progress, the author tries to implement one of the GIS application program into the form of Kost Home layout information in Kotabumi. The author tries to build an application that will help to simplify the search such as information about home boarding services, home boarding locations, and strategic location of boarding house. The system to be created is "Geographic Information System Provider of Kost Home Based Website". The development used in this research is the development with Object Oriented model that uses several tools such as Use Case, Activity Diagram, and Class Diagram. And for system development method used is Prototyping development method. Keywords: GIS; Object Oriented; Prototyping.


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