This study quantifies the synergistic relationship between transport flow and economic activity, as conventional methods like road accessibility and GDP are insufficient for highly mobile megacities. Synergy measures connections in complex systems, with flow data capturing the interplay between transport and economic elements. The study proposes a framework based on flow data and synergy effect theory to analyze this relationship in network space. Specifically, using highway traffic flow data and network analysis, we constructed the synergetic effects model to analyze the interplay between highway traffic flow and economy in the Greater Bay Area (GBA). The results showed that highway traffic flow exhibited significant spatial discrepancy, and primary highway traffic flow was located in the GBA in Shenzhen–Dongguan and Guangzhou–Foshan. The higher comprehensive economic indices were located on the Guangzhou–Foshan–Macao and Guangzhou–Shenzhen–Hong Kong. The potential economic connectivity strength of Guangzhou, Foshan and Shenzhen was significantly higher than that of other cities. The synergistic effect between highway traffic flow and potential economic connectivity in the GBA was highly related to the strength of highway traffic flow, and it was significantly higher in Guangzhou-Dongguan-Shenzhen than in other regions. This study can support sustained economic development and the implementation of optimized transportation layouts.
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