Niu Caicheng, Zhang Wenjia
School of Urban Planning and Design, Peking University Shenzhen Graduate School, Shenzhen, Guangdong, China.
Comput Environ Urban Syst. 2023 Jun;102:101957. doi: 10.1016/j.compenvurbsys.2023.101957. Epub 2023 Mar 14.
Many studies have investigated the impact of mobility restriction policies on the change of intercity flows during the outbreak of COVID-19, whereas only a few have highlighted intracity flows. By using the mobile phone trajectory data of approximately three months, we develop an interrupted time series quasi-experimental design to estimate the abrupt and gradual effects of mobility intervention policies during the pandemic on intracity flows of 491 neighborhoods in Shenzhen, China, with a focus on the role of urban transport networks. The results show that the highest level of public health emergency response caused an abrupt decline by 4567 trips and a gradually increasing effect by 34 trips per day. The effectiveness of the second return-to-work order (RtW2) was found to be clearly larger than that of the first return-to-work order (RtW1) as a mobility restoration strategy. The causal effects of mobility intervention policies are heterogenous across zonal locations in varying urban transport networks. The declining effect of health emergency response and rebounding effect of RtW2 are considerably large in better-connected neighborhoods with metro transit, as well as in those close to the airport. These findings provide new insights into the identification of pandemic-vulnerable hotspots in the transport network inside the city, as well as of crucial neighborhoods with increased adaptability to mobility interventions during the onset and decline of COVID-19.
许多研究调查了新冠疫情爆发期间出行限制政策对城市间流动变化的影响,而只有少数研究关注了城市内部的流动情况。通过使用约三个月的手机轨迹数据,我们设计了一个中断时间序列准实验,以评估疫情期间出行干预政策对中国深圳491个社区市内流动的突然和渐进影响,重点关注城市交通网络的作用。结果表明,最高级别的突发公共卫生事件应急响应导致出行量突然下降4567次,且每天逐渐增加34次。作为一项出行恢复策略,发现第二次复工令(RtW2)的效果明显大于第一次复工令(RtW1)。出行干预政策的因果效应在不同城市交通网络的区域位置上存在异质性。在连接较好的有地铁的社区以及靠近机场的社区,突发公共卫生事件应急响应的下降效应和RtW2的反弹效应相当大。这些发现为识别城市内部交通网络中的疫情脆弱热点地区,以及在新冠疫情爆发和缓解期间对出行干预具有更强适应性的关键社区提供了新的见解。