The　objective　of　this　study　was　to　identify　influence　factors　on　injury　severity　of　electric　and　non-electric　bicycle　crashes　and　discuss　the　differences　between　them　in　Beijing,　China.　Generalized　linear　model　(GLM)　and　classification　and　regression　tree　(CART)　were　proposed　to　investigate　significant　influence　factors　and　the　importance　order　of　influence　factors,　respectively.　Based　on　GLM,　seven　factors　were　significant　in　electric　bicycle　crashes　whereas　five　factors　were　significant　in　non-electric　bicycle　crashes.　CART　implied　the　most　important　factors　was　type　of　motor　vehicle　both　in　electric　and　non-electric　bicycle　crashes.　However,　other　important　factors　showed　different　characteristic　in　the　two　type　of　crashes.　This　paper　gives　detailed　information　for　electric　and　non-electric　bicycle　crashes,　which　provides　reference　for　government　to　implement　measures　precisely.　©　2020　IEEE.