This　paper　aims　to　investigate　the　dimensionality　of　drivers＇　behaviors　and　analyze　the　motives　of　competitive　driving　behavior.　Data　are　collected　from　a　self-　reported　questionnaire　completed　by　225　drivers　on　the　internet.　Principal　component　analysis　(PCA)　and　confirmatory　factor　analysis　(CFA)　are　used　to　analyze　the　underlying　factor　structure.　Four　latent　factors　are　derived,　including　speed　advantage,　space　occupation,　contention　over　the　right-　of-　way,　and　space　advantage.　Structural　equation　modeling　is　established　to　explain　the　correlation　between　drivers＇　attitude　and　driving　behavior　based　on　Theory　of　Planned　Behavior　(TPB).　Results　indicate　that　competitive　driving　behavior　could　be　predicted　by　the　combination　of　attitudes,　subjective　norm,　control　of　perceived　behavior,　and　social　environment　through　the　medium　of　behavior　intention.　A　high　correlation　between　the　dimensions　of　social　environment　and　intention　is　observed.　This　is　an　effective　way　to　rectify　the　competitive　driving　behavior.　Copyright　©　2016　by　Science　Press.