Spatio-temporal Changes and Influencing Factors of the Travel Network on China’s National Day Holiday under COVID-19  

COVID-19影响下中国国庆出行网络时空变化与影响因素

作　　者：DONG Yaojia WANG Fuyuan WANG Kaiyong 董瑶嘉;王甫园;王开泳(中国科学院地理科学与资源研究所中国科学院区域可持续发展分析与模拟重点实验室,北京100101;中国行政区划与区域发展促进会,北京100044;中国科学院大学资源与环境学院,北京100049)

机构地区：[1]Institute of Geographic Sciences and Natural Resources Research,Key Laboratory of Regional Sustainable Development Modeling,Chinese Academy of Sciences,Beijing 100101,China [2]China Association for the Promotion of Administrative Divisions and Regional Development,Beijing 100044,China [3]College of Resources and Environment,University of Chinese Academy of Sciences,Beijing 100049,China

出　　处：《Journal of Resources and Ecology》2025年第1期265-282,共18页资源与生态学报(英文版)

基　　金：The National Natural Science Foundation of China(42271252,42230510,42371253);The Theme Academic Activities of National Social Science Foundation Academic Societies(22STA021)。

摘　　要：COVID-19 has tremendously impacted the travel habits of urban residents.This study used the“node-line segment-network”hierarchy and Baidu migration big data to conduct a comparative analysis of the travel network patterns of urban people on China’s National Day holiday before and during the COVID-19 outbreak(i.e.,2019 and 2021).The results revealed four interesting patterns:(1)In 2021,there was an increase in the aggregation coefficient and access to the intra-provincial linkage network,indicating a higher degree of the travel agglomeration of residents under the pandemic.(2)In 2021,the“hub-and-spoke”pattern on the national scale,the“core-edge”pattern of the intra-provincial scale and the“rhomboidal”structure of the extra-provincial scale were more contracted,aggregated,and low-value.(3)The coverage of the urban advantageous association decreased while the total numbers of urban clusters and single provincial clusters increased,reaching 25 and 16,respectively.This indicates that the pandemic intensified the effect of administrative boundaries as a barrier.(4)The primary determinants of movement during the pandemic were urban competition,policy control,administrative boundary barriers,and the travel intentions of residents.疫情对城市居民出行行为产生了巨大影响。本文基于“节点-线段-网络”层级和百度迁徙大数据,对新冠疫情爆发前后(即2019年和2021年)的中国国庆假期城市居民的出行网络模式进行对比分析。结果发现:(1)相比2019年,2021年出行聚集系数增加,省内联系网络通达性升高,疫情后居民的出行集聚程度更高。(2)相比2019年,2021年全国“中心轴辐”模式、省外“菱形”结构、省内“核心-边缘”格局更为收缩聚集,居民出行更趋省域化、低值化。(3)2021年优势关联覆盖范围缩小,城市组团识别总个数和单一省域组团比2019年增多,分别达到25和16个,说明疫情加重行政区划壁垒效应。(4)城市竞争力、政策管控、行政边界壁垒和居民出行意愿及风险感知是疫情期间出行的主要影响因素。

关 键 词：resident travel PANDEMIC network characteristics influencing factors National Day holiday 

分 类 号：TU984.113[建筑科学—城市规划与设计]