In　this　study,　our　goal　was　to　determine　the　impact　of　various　risk　factors　on　traffic　accidents　in　the　city　of　Shenyang,　China,　and　to　discuss　the　various　common　factors　that　influence　pedestrian　and　non-motor　vehicle　accidents.　A　total　of　1227　traffic　accidents　from　2015　to　2017　were　analyzed,　of　which,　733　were　accidents　involving　pedestrians　and　494　were　non-motor　vehicle　accidents.　Among　these　traffic　accidents,　pedestrians　and　non-motor　vehicle　users　had　either　minor　or　no　responsibility.　Sixteen　influencing　factors,　including　main　responsible　party　attributes,　pedestrian/non-motor　vehicle　user　attributes,　time　attributes,　space　attributes,　and　environmental　attributes　were　analyzed　with　regards　to　their　impact　on　accidents　using　the　binary　logistic　regression　model　(BLR)　and　the　classification　and　regression　tree　analysis　model　(CART).　Age,　administrative　division,　and　time　of　year　were　the　three　most　common　factors　for　pedestrian　and　non-motor　vehicle　accidents.　For　pedestrian　accidents,　the　personal　influencing　factors　of　the　main　responsible　party　included　illegal　acts　while　driving　and　hit-and-run　behavior.　Factors　affecting　pedestrian　and　non-motor　vehicle　accidents　also　had　different　orders　of　importance.