In Environmental impact assessment process, Vulnerability assessment can play as a suitable tool for increases the objectivity of results. Vulnerability assessment along with environmental impact assessment of road network can awareness decision makers about the possible ecological crisis due to road network. Considering the environmental effects of roads beyond the local scale caused the environmental impact assessment of these linear structures acts in multi-scale assessment. Road ecological footprint as a road impact index makes it used for assessment in macro scale. In this thesis, environmental impact assessment along vulnerability assessment and ecological footprint used for analysis of road network. Due to the importance of environmental effects of roads in mountainous areas, road network of Lorestan province was selected for environmental analysis. Roads in mountainous areas are the most important factor in air quality pollution and noise turbulence. In mountainous areas, the main receptors of these impacts are residents of the villages. Additionally, crossing roads from natural areas causes changes in the sound balance of habitats close to these linear infrastructures. In this dissertation, a modeling method has been used to quantify the air quality and noise quality due to road network. The CALPUFF model used for the determine of CO 2 , NO 2 , PM 10 and SO 2 exposure gases from road traffic. Noise propagation due to road traffic simulated based on CRTN model. Road network air pollution and noise pollution impacts was aggregated with Spatial Impact Assessment Methodology (SIAM). Three component vulnerability include exposure, sensitivity and adaptive capacity used for vulnerability assessment of road network. Infrastructure Fragmentation Index (IFI), Residential neighborhood index, road noise and fractal dimension used for quantify of exposure component of vulnerability. Erosion and topographic position indices were used in assessing the sensitivity. Adaptive capacity was quantified based on the Connectivity index and Dominance degree. In order to determine the road ecological footprint, road physical footprint and road energy footprint was aggregated. Finally, the synthesis of the results of the road impact assessment, vulnerability assessment and road ecological footprint was analyzed. The use of spatial and quantitative data based these methodology, led to make a Spatial Decision Support System (SDSS) as a plugin in QGIS Software.