Passenger flow prediction is the key to operation efficiency and safety of urban rail transit (URT). This paper combines the deep learning (DL) theory and support vector machine (SVM) into the DL-SVM model for URT passenger flow prediction. Firstly, the deep belief network (DBN) was adopted to extract the features and inherent variation of passenger flow data. On this basis, an SVM regression model was constructed to predict passenger flow. Then, the proposed model was compared with three shallow prediction models through experiments on Qingdao Metro. The results show that the DL-SVM outperformed the other models in accuracy and stability. The research findings shed important new light on the passenger flow prediction in the URT system.INDEX TERMS Big data analysis, deep belief network (DBN), support vector machine (SVM), passenger flow prediction, urban rail transit (URT).

The city’s outdoor wind-heat environment which plays an important role of improving citizen's livelihood has become a focus of research. For the outdoor public space similar to the pedestrian street, pedestrian-height wind and thermal comfort directly influence the value. This paper takes Jiefangbei commercial pedestrian street as an example. Based on the regional climate characteristics in Chongqing, simulation has been carried out by ENVI-met software. Then this paper makes comprehensive evaluation on pedestrian-height wind environment and thermal comfort, and proposes optimization measures according to the existing problems so as to create an outdoor space environment suitable for improving people's way of life in city.

Scientific urban planning guides the urban sustainable development. Face to the great amount unreasonable adjustment of urban planning, how should Promote urban sustainable development? The paper analyzes the effect of adjustment of urban planning to urban sustainable development and the reason to cause adjustment of urban planning, and put forward several countermeasures such as enhancing the flexibility of planning, improving the system, strengthen supervision, for rationalizing the adjustment of urban planning further, and guiding the urban sustainable development scientifically.

Based on the smooth space thinking proposed by contemporary French philosopher Deleuze, this paper describes the ideas of architectural design from the mutual transition and conversion of buildings and environment, and the design of smooth space total three aspects, to provide the reference for future architectural design.

Combined with author's rich construction experience in water supply and sewerage works, analyzes and explores the background of energy-saving materials in water supply and sewerage works, dissects the situation of China's current energy-saving materials applied to the water supply and sewerage works, and forecasts the direction of the future development of new energy-saving materials.