IMPACT OF INTERCITY INTERACTION ON URBAN SPACE GROWTH IN THE GUANZHONG PLAIN URBAN AGGLOMERATION BASED ON TRAFFIC FLOWS
LI Yu1,2, LI Tao1, QIU Meng-long1, LI Ji-yuan1, CAO Xiao-shu1
1. Northwest Land and Resource Research Center, Shaanxi Normal University, Xi'an 710119, China;
2. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
Abstract Previous studies on urban space growth mainly focused on the local driving forces. Against the background of the space of flows, it's significant to explore the impact of intercity interaction on urban space growth for promoting the sustainable development of urbanization. Using land use data and traffic big data inferred from passenger travels, this paper takes the Guanzhong Plain urban agglomeration as a case study to examine the impact of intercity interaction on urban space growth from 2010 to 2018. The potential driving factors of urban space growth has been divided into local and intercity interaction variables as previous studies. The results show that the spatial organization of intercity travel in Guanzhong urban agglomeration presents an organizational pattern with Xi'an as the core and Xianyang, Weinan, and Baoji as secondary nodes. Secondly, the Guanzhong urban agglomeration experienced a rapid and significant expansion of urban space during 2010—2018, with an increase of 1398.8 km2, or an annual rate of 174.85 km2, mainly concentrated in Xi'an, Xianyang and Yuncheng. Thirdly, similar to the developed coastal urban agglomerations, the intercity interaction, characterized by intercity passenger travel, has a gradually increasing positive driving effect on the urban space growth during the study period. Relative contribution rates are 5.50% and 7.54% in the period of 2010—2015 and 2015—2018, respectively. This study provides quantitative insights into the issue of sustainable urban space growth in western China.
LI Yu,LI Tao,QIU Meng-long等. IMPACT OF INTERCITY INTERACTION ON URBAN SPACE GROWTH IN THE GUANZHONG PLAIN URBAN AGGLOMERATION BASED ON TRAFFIC FLOWS[J]. HUMAN GEOGRAPHY, 2023, 38(1): 147-157.
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2023, Vol. 38 
