This paper uses multinomial Logit model theory of utility maximization to study the attractions of light rail to passengers under different pricing strategies .Based on the large-scale resident trip survey in Luogang District ,pa-rameters in the model are calibrated .Furthermore ,the occupation rates of four trip modes including car ,electric bicycle , normal public traffic and light rail are analyzed and compared .Finally ,the share rates of various traffic modes under dif-ferent ticket pricing policies are confirmed .