The connection pattern and substructure characteristics of intercity land public passenger transport in Pearl River Delta
Exploring the overall characteristics and internal sub-structure of intercity land public passenger transport connection patterns in the Pearl River Delta is of great practical and contemporary significance for improving the resilience of the transport network,rationally planning the metropolitan area,and realizing sustainable and coordinative development.Based on the intercity land public passenger transport data,this paper analyzed the spatial pattern and structural characteristics of the connections between cities in the Pearl River Delta by using the contact index and social network analysis method.The results show that:1)The trend of passenger flow varies,but the cities with the first degree of contact and the high intensity of contact are stable.The direction of passenger flow in different years changed slightly,while the pattern of the priority centered on Guangzhou and Shenzhen is unchanged.The cities with the highest contact intensity are concentrated in Guangzhou,Shenzhen,and Dongguan,which is consistent with the comprehensive economic strength of the city.2)The cities in the Pearl River Delta show the inner and outer circle connection structure of the core-edge.The inner core positions of Guangzhou,Shenzhen,and Dongguan have remained unchanged.The urban traffic links within the marginal areas have been strengthened.3)The structure of Shenzhen-Dongguan-Huizhou of the eastern Pearl River Delta is stable,in line with the metropolitan planning,whereas the structure of other subgroups varies.In the middle of the Pearl River Delta,there is a big difference between the planning of the central Guangzhou-Foshan-Zhaoqing area and the subgroup.It is necessary to strengthen the passenger connection between the three cities so that it can truly form a subgroup with a strong connection.Except for Guangzhou,the three subgroups are relatively independent with fewer passenger transport connections.
traffic connectionland public passenger transportsocial network analysisspatial patternsubstructure characteristics