The air pollution, waste management collection and other environmental hot spots  are proved by scientific papers to be the result of a lack of environmental policy but moreover of social policy. This paper is trying to illustrate the correlation between the environmental quality and the level of the social indexes. As this paper is only a slight introduction on the previously mentioned relation we’ll focus on the proximity to the roads. The roads are the origin of many pollution sources: the noise induced by the lack of non-reducing noise concrete, the emission of NO2 and particulate matter and many others. As mentioned \cite{Stewart_2015} the more deprived population are under high pollution conditions but one might ask if the conditions of life gets better as the distance to the main roads is increasing. 

Data

We will use the data provided for the commune of Vernier in Geneva by the open access portal of the canton of Geneva . We used the resources on the roads, the number and the location of subsidies and the population in the commune of Vernier.   

Methods

This study's aim is to show the strong correlation between the social deprivation value and the low environmental indexes. Many studies have been focused on this burden that the most deprived populations must endure. As we focus on a geographical relation we used as a GIS software QGIS to visualize and calculate our layers and data analysis Geoda to answer our hypotheses. To classify the different sub-regions in Vernier we will divide the municipality of Vernier in a grid to understand the local problematic. As our study aims to identify the aspects of the roads the data were divided as follow: roads, national road and cantonal road. We then used the distance from the centroids of the grid cells as the origin to compute the distance to the closest road, cantonal and national road (using the NNjoin function). 
No distinction between the social’s or the accommodation subsidies was emitted to calculate the number of subsidies, the point count function in QGIS was used. This choice was made to find a global answer and in for the next studies to study the characteristics of these subsidies. Then the data provided by the previous steps was used to study the hypothetical link in Geoda.

Results

The map of Vernier helps us to understand that in more than the half of its distance the national road is underground. It allows us to understand the dense areas as the spread of the subsidies in the municipality. We observe that the mostly dense area are not the ones that receives the more subsidies, in the South-East of the municipality. In other words, the number of subsidies is not directly proportional to the population density.