Under the background of a rapid urbanization and dual-carbon-orientated development, traffic and energy problems brought about by urban commuting have become an important factor restricting the sustainable development of cities. Therefore, based on the data of 4.67 million intelligent transportation cards, an analysis has been made of the overall characteristics and spatial distribution characteristics of rail transit passenger flow in Shanghai. The results obtained from the time scale analysis show that, the average travel time of passengers in the morning peak and evening peak periods is slightly lower than that in the whole sample period; the morning peak of inbound passenger flow of rail transit appears earlier than the morning peak of outbound passenger flow; on the basis of an analysis of the municipal district scale, there is a certain positive correlation between the number of population and the rail transit passenger flow of each municipal district; viewed from the perspective of street scale, there is a great difference in the dependence on rail transit for residents in different streets in the city, with a striking spatial diversity thereby. Therefore, it is suggested to develop the low-speed traffic network mainly composed of walking and cycling, accompanied by the establishment of a green travel development mode with equal emphasis on public transport and walking urban transport, with a constant facilitation of the mode of traffic demand management so as to reduce the carbon emission of urban roads, thus further improving the efficiency of urban green traffic operation and promoting the rapid development of urban low-carbon economy.