“双碳”视角下的上海市轨道交通客 流时空格局及特征

在快速城市化与“双碳”背景下，城市通勤引发的交通及能源问题成为制约城市可持续发展的重要因素。故利用467万条智能交通卡数据分析上海市轨道交通客流的总体特征及空间分布特征。结果表明：从时间尺度上分析，早高峰、晚高峰时段内乘客的平均出行时间要稍低于全样本时段内乘客的平均出行时间；轨道交通进站客流早高峰会早于出站客流早高峰出现；从市辖区尺度分析，人口数量与各市辖区的轨道交通客流量呈现出一定的正相关性；从街道尺度来看，城市中不同街道的居民对于轨道交通的依赖程度存在较大差异，空间差异性较强。因此，建议发展以步行和自行车为主的低速交通网络，建立公交与步行城市交通并重的绿色出行发展模式，并不断完善交通需求管理方式，以减少城市道路的碳排放量，进一步提高城市绿色交通运行效率，推动城市低碳经济的快速发展。

Spatio-Temporal Pattern and Characteristics of Shanghai Metro Passenger Flow from a Dual-Carbon Perspective

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.