Regional logistics demand has an important guiding significance for regional logistics development planning. However, due to the wide range of areas and departments involved in logistics activities, and the corresponding statistics is unavailable. Therefore, the demand for regional logistics is much more difficult to determine. Through the influencing factors analysis of regional logistics, this paper chooses several indicators and constructs a multiple linear regression model. Then an empirical analysis of Wuhan in China is carried out and some indicators are eliminated. Finally, a regression model is established with gross domestic product, gross agricultural output and total retail sales of consumer goods. The model has statistical significance and it is used to predict the logistics demand of Wuhan in 2020, 2025 and 2030. The results show that the region's logistics demand will continue to grow.

Logistics resources will be concentrated in the same space by logistics park, to provide intensive logistics services and enhance the efficiency of logistics, thereby, a large number of logistics parks emerged in China for a period of time, and the park vacancy rate caused by high attention. Logistics Park construction should be matched with the demand. Calculation of logistics park carrying capacity is one of those problems should be solved. This paper uses the analogy method, the standard reference method and the space-time consumption method to calculate the comprehensive carrying capacity of “one port, six parks”, which is planned in Wuhan. The results show that although the space-time consumption method is more complicated than the other two, but its calculation results can better reflect the carrying capacity of Logistics Park.

As an important part of modern service industry, business service industry has become an important force affecting economic development. Therefore, clarifying the coordination relationship between the business service industry and the economic system will help promote the upgrading of the modern service industry and obtain higher economic benefits. Firstly, the paper analyzes the development of business service industry in Hubei Province. Then, the measurement model is established according to the coordination degree model of complex system, and representative indicators are selected. Finally, the coordinative relationship between the business service industry and the economic system in Hubei Province is obtained through calculation. The results show that the business service industry and economic system in Hubei Province have gradually developed from moderate imbalance to moderate coordination, showing a good development trend, but in the future, it is still necessary to pay more attention to the business service industry in the region.