Since the reform and opening up, after more than 30 years of development, China’s urban agglomerations have entered the growth period from the formation period. As a brand-new regional unit for the country to participate in global competition and international division of labor, urban agglomeration plays an important strategic role in promoting the construction of new urbanization and economic and social development in China.

Coordination and cooperation of airports in the Yangtze River Delta region, tapping the potential of Hongqiao and Pudong airports, reserving and researching the third airport, giving priority to the construction of fast rail transportation, and strengthening the fast connection between the airport and Shanghai's sub-center and the cities around the Yangtze River Delta. Second, we should accelerate the transformation and development of port shipping services and strengthen the functions of international hub ports. Optimize the mode of transportation, accelerate the transformation and development of shipping services, and strengthen the coordination and cooperation of ports in the Yangtze River Delta region. Third, it is necessary to strengthen the external traffic radiation capacity of key urban areas and expand the scope of attracting talents and industries in key areas.

As an efficient and sustainable way of travel, mass transit system has attracted increasing attention worldwide. In addition to the optimization of capacity and efficiency, a good design can also improve the safety of the bus system and the surrounding environment, including the safety of passengers arriving at the station, bus transfer, etc. At present, this problem is often not properly considered in public transportation system design. This paper focuses on the bus rapid transit system (BRT) and discusses the road safety problems in the bus system.

In order to effectively evaluate urban road scraping accidents, a road scraping accident evaluation model is established based on historical accident database and environmental parameter indexes. Through variance analysis, four environmental characteristic parameters including the location of the accident area, weather conditions, road conditions and the location of the relationship with the road are extracted as the input of the evaluation model. The functional relationship between the four indicators and the severity of the accident is expressed by the monthly traffic accident index, which is used as the output of the evaluation model. Particle swarm optimization algorithm, CV-K and genetic algorithm are used to calibrate the learning parameters of SVR to obtain the optimal model parameters. On this basis, an urban road scratch accident evaluation model based on SVR regression algorithm is constructed. The model is tested with the collected actual road scraping accident data. The results show that the model has certain accuracy and can be used for risk assessment of urban road scraping accidents based on the above four indicators.