Based on the Weibull distribution

survival patterns of different vehicle types and areas in Guangdong Province were obtained from information collected by Guangdong Vehicle Information Database

following with analysis on their characteristics and influencing factors. Furthermore

by combining vehicle population projection method (the elastic coefficient method specifically in this case)

the survival patterns were used in the age distribution projection of different vehicle types in Guangdong

2030. Result showed that：1) life spans of Heavy-Duty-Passenger-Car (K1)

Medium-Duty-Passenger-Car (K2) were 18 years

while that of Light-Duty-Passenger-Car (K3) and Mini-Passenger-Car (K4) were 20 years; 2) life spans of Heavy-Duty-Truck (H1)

Medium-Duty-Truck (H2)

Light-Duty-Truck (H3)

and Mini-Truck (H4) increased in turn;3) the economic developing level affected vehicle survival pattern with the evidence that life spans of K3

K4

H3

H4 in Pearl River Delta (PRD) were 3.39，5.10，4.74，4.26 years shorter than that of non-PRD. The proposed method can be used to conveniently obtain vehicle age distribution. The traffic pollution control polices

the economic developing level and variations among different vehicle types would affect the survival patterns.