Abstract
Waybill data can reflect the transport process of express delivery in different cities, providing an important basis for revealing intercity logistics connectivity. However, current research neglects the critical function of routing information in waybill data, making it difficult to realistically represent intercity connectivity in the express delivery network. This study uses waybill big data with routing information to map the spatial distribution and network structures of intercity express delivery networks in China, and identifies three main types of network communities: interprovincial communities, regional hub communities, and corridor pattern communities, so that a more accurate and realistic representation of intercity connectivity can be presented.
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