Filters: Tags: Traffic (X)43 results (74ms)
This dataset was created by overlaying connectivity model outputs for grizzly bear, black bear, lynx, wolverine, forest specialist species, and forest biome dwellers where they intersect the region’s major roads. It was used in conjunction with future traffic volume projections to identify priority sites for mitigating road impacts on wildlife. This project investigated the potential impacts of future housing development on traffic to determine where increased traffic from housing development will impact habitat connectivity for large carnivores. The focus of this study was Flathead and Lincoln counties in northwestern Montana. The main goal was to maintain wildlife habitat connectivity across transportation corridors...
Relative location value based on accessibility: application of a useful concept in designing urban regions
Urban Environmental Gradient: Anthropogenic Influences on the Spatial and Temporal Distributions of Lead and Zinc in Sediments
Modeling of photochemical air pollution in the Barcelona area with highly disaggregated anthropogenic and biogenic emissions
Preliminary assessment of the impact of draining of Iraqi marshes on Kuwait s northern marine environment. Part II. Sediment associated pollutants
Effects of paved roads on birds: a literature review and recommendations for the Yellowstone to Yukon Ecoregion
This report is synthesizes and summarizes major findings from literature relating to the direct and indirect ecological impacts of paved highways on birds. It represents a meta-analysis of contributing factors of road mortality, effects of roadway lighting, traffic noise, traffic volume, and roadway contaminants on bird populations, which may help guide conservation efforts within the Yellowstone to Yukon ecoregion. Traffic volume and noise are believed to be the most important factors affecting breeding bird population densities near roads. The number of affected species increases with traffic volume but the relationship appears to reach threshold at an average daily traffic volume of 30,000 vehicles a day. In...
This dataset represents untransformed average annual daily traffic (AADT), or vehicles per day, throughout the Northeastern United States circa 2010. Detailed documentation for the methods to derive the dataset are available from the Ancillary Data document: http://jamba.provost.ads.umass.edu/web/LCC/AncillaryData.pdf This dataset was developed as part of the Designing Sustainable Landscapes project led by Professor Kevin McGarigal of the University of Massachusetts and sponsored by the North Atlantic Landscape Conservation Cooperative; for more information about the entire project see: http://www.umass.edu/landeco/research/dsl/dsl.html Important steps in developing the dataset include: 1) Obtained raw road traffic...
Assessment of exposure to traffic related air pollution of children attending schools near motorways
Impact of road traffic in Madrid community by using a nested Gaussian-mesoscale Air Quality Model (GAMA)
Moose, Caribou, and Grizzly Bear Distribution in Relation to Road Traffic in Denali National Park, Alaska
Lagrange Street story: the prevention of aromatics air pollution during the last nine years in a European city