For one third Belgians cycling is among 3 most important means of transport. After new mobility regulations i.e. Paid per km policies, countries like Belgium having higher popu-lation density ratio, less sparse office work distances yield enormous favour for cycling adoption. The influence of electric cycles and cycling among young people have a higher speeding ratio, through various infrastructural features ultimately yielding to higher acci-dent risks. This includes cycling suburban to urban peripheries. 5 years continuous data were collected. This included infrastructural features, accidents, and its possible related causes were collected from the economical hub of Belgium, Antwerp. City of Antwerp was considered since it has high number of cycling accident ratios and good governmental focus on cycling infrastructure. Despite of friendly cycling infrastructure Antwerp pos-sesses high accident ratios. Multivariate analysis and ordered discrete outcome models were developed to categorize, develop relationship between geometry and accidents char-acteristics. Discrete and separate geometrical ranges were developed with every district separately since generalization of whole district into one analysis will lead to biasness . Later the developed models were validated with GIS Ordinary least square regression and Moran’s I autocorrelation. The results reveal significant insights of what are the effects of three parameters i.e. Geometry, Socio economic activities, Geographic sparsity on cyclist accidents. Nevertheless underreporting of cycling accidents put an unambiguous pro-spects of results of this study, since reported accidents only contain 10% of real occurred accidents. If 100% accident data was present healthier results would had being presented.