Eco-driving　is　an　effective　means　to　reduce　vehicle　fuel　consumption.　Although　many　researches　and　devices　have　been　developed　to　introduce　eco-driving,　quantitative　effects　of　driver　behaviors　on　fuel　consumption　are　still　unclear,　as　well　as　quantitative　eco-driving　advices.　To　solve　this　problem　and　promote　the　application　of　eco-driving　in　China,　a　driving-events-based　eco-driving　behavior　evaluation　model　was　proposed　in　this　paper.　First,　based　on　taxicab　operating　data,　the　relationship　between　three　vehicle　operating　parameters　(speed,　acceleration,　and　driving　mode　duration)　and　fuel　consumption　was　analyzed.　Then,　nine　fuel-consumption-involved　driving　events　(including　Accelerating　Sharply,　Decelerating　Sharply,　and　Long-Time　Accelerating)　were　proposed　and　defined.　Using　the　frequency　of　each　driving　event　in　a　certain　distance　as　independent　variable　and　vehicle　fuel　consumption　as　dependent　variable,　principal　component　analysis　(PCA)　and　multiple　linear　regression　were　applied　to　establish　driver＇s　eco-driving　behavior　evaluation　model.　The　model　was　proved　to　be　highly　accurate　(96.72%).　At　last,　based　on　the　evaluation　model,　corresponding　quantitative　eco-driving　advices　were　provided　to　help　driver　to　improve　their　driving　skills.