The spatial-temporal dynamics of daily intercity mobility in the Yangtze River Delta: An analysis using big data
The spatial-temporal dynamics of daily intercity mobility in the Yangtze River Delta: An analysis using big data
复制标题
长三角城市间日常出行时空动态：基于大数据的分析
DOI：
10.1016/j.habitatint.2020.102174
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发表时间：
2020-12-01
影响因子：
6.8
通讯作者：
Zhang, Weiyang
中科院分区：
文献类型：
--
作者：
Cui, Can;Wu, Xiaoli;Zhang, Weiyang
随着信息通信技术和交通基础设施的迅速发展，城市间的人员流动已成为区域一体化的基石。虽然绘制人员流动的地理位置图已经引起了学术学科的极大兴趣，但揭示日常城市间流动的时空动态却研究不足。尤其是在不同时期出现不同的出行行为的情况下，这可以被定义为城市间流动性的时间异质性。本研究旨在通过研究日常城市间流动性的不同时空动态来解决这一空白。具体而言，本研究利用腾讯在长三角地区产生的数百万条基于位置的服务记录，绘制了城际人口流动的空间网络，揭示了不同的驱动力如何塑造不同的城际出行，其中通勤、商务旅行和休闲活动三种出行目的在工作日、周末和国定假日扮演不同的角色。结果表明：（1）推拉框架能够反映城市居民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相关，从而产生不同的城际出行时空模式。本研究揭示了长三角地区城市间日常流动性的时间异质性，并进一步加深了我们对长三角地区城市间日常流动性地理分布的理解。
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.