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- Title
Spatio-temporal Changes of Intercity Travel Network in Urban Agglomerations during China's National Day Holiday under COVID-19: Based on Baidu Mgration Big Data in 2019 and 2021.
- Authors
DONG Yaojia; WANG Fuyuan; WANG Kaiyong
- Abstract
The pandemic has had a significant impact on the travel behavior of urban residents and has caused changes in the intercity travel network of urban agglomerations. However, few existing studies have explored the spatio-temporal changes of the intercity travel network of urban agglomerations under the pandemic. This paper took seven urban agglomerations in China as the study area, and conducted a comparative study on the hierarchy, scale, and spatial pattern of the intercity travel flow during China's National Day holiday before (i. e., 2019) and after (i. e., 2021) the COVID-19 pandemic based on Baidu migration data. The results are shown as follows. 1 The pandemic has changed the scale and temporal pattern of intercity travel flow in urban agglomerations. The total intercity travel flow of the seven urban agglomerations during the National Day holiday in 2021 is 64% lower than that in 2019. There are two main types of travel evolution pattern over time, that is, "C" shape and decreasing to stable with the time. 2 The external and internal travel networks of urban agglomerations have three modes: multi-core development, dual-core drive and single-core radiation. After the pandemic, travel flows become more low-value and provincial, and administrative boundaries have increased restrictions on the resident travel of urban agglomerations. 3 The number of external dominant flow in urban agglomerations is higher than the number of internal dominant flow, and the intensity of travel flow is vice versa, indicating that the "proximity effect" of internal and external dominant flow after the pandemic is increasingly enhanced, and the pattern of external dominant flow is largely contracted to the province or neighboring provinces. 4 Both GDP per capita and employees have a significant impact on the spatio-temporal changes of the travel network, indicating higher economic resilience and larger travel flow scat in the core cities of the urban agglomeration after the pandemic. The effect of administrative hierarchy and tourism resource abundance are not significant to the scale of urban inflows due to the impact of prevention and control of the pandemic. The passenger volumes of high-speed rail and highway contribute positively to the scale of city inflows, mainly due to choice preferences for short/middle distance travel under the pandemic.
- Subjects
CHINA; BAIDU Inc.; NATIONAL Day (China); HOLIDAYS; BIG data; CITY dwellers; COVID-19 pandemic; DOMESTIC travel
- Publication
Geography & Geographic Information Science, 2023, Vol 39, Issue 6, p65
- ISSN
1672-0504
- Publication type
Article
- DOI
10.3969/j.issn.1672-0504.2023.06.009