Accompanied by the rapid development of information communication technology and transport infrastructure, intercity flows of people have been the cornerstone shaping regional integration. Although mapping the geographies of people flows has attracted a lot of interest across scholarly disciplines, uncovering the spatial-temporal dynamics of daily intercity mobility has been under-researched. This is especially the case where varied travel behaviours occur at different periods, which can be defined as temporal heterogeneity of intercity mobility. This study aims to address this lacuna by examining the varied spatial-temporal dynamics of daily intercity mobility. To be specific, using millions of Tencent location-based service records generated within the Yangtze River Delta, this study maps the spatial network of intercity population movements and reveals how different driving forces shape different intercity travels, in which three types of travel purposes — commutes, business trips, and leisure activities — are assumed to play different roles during weekdays, weekends and national holidays. Employing a multivariate regression quadratic assignment procedure, the results show that (1) the pull-push framework can be adapted to reflect the dynamics of daily mobility, and (2) different types of travels are related to different driving factors, and thus generating varied spatial-temporal patterns of intercity mobilities. This study reveals the temporal heterogeneity of daily intercity mobility, and furthermore enhances our understanding of the geographies of YRD's daily intercity mobility.

伴随着信息通信技术和交通基础设施的飞速发展，城市间的人员流动已成为塑造区域一体化的基石。尽管绘制人员流动的地理位置已经引起了学术界的广泛兴趣，但对发现城市间日常流动性的时空动态的研究仍在深入研究中。尤其是在不同时期发生各种旅行行为的情况下，这可以定义为城市间流动性的时间异质性。这项研究旨在通过研究日常城际流动的时空动态来解决这一空白。具体来说，利用长三角内生成的数百万个腾讯基于位置的服务记录，这项研究绘制了城市间人口流动的空间网络图，并揭示了不同的驱动力如何塑造不同的城市间旅行，其中假定三种类型的旅行目的（通勤，商务旅行和休闲活动）在工作日，周末和国家/地区扮演不同的角色假期。结果表明，采用多元回归二次赋值方法，（1）推拉框架可以适应日常出行的动态变化；（2）不同类型的出行与不同的驱动因素有关，因此产生了多种变化。城际流动的时空格局。这项研究揭示了日常城市间流动性的时间异质性，并且进一步增强了我们对长三角地区日常城市间流动性地理的理解。