Study On Planning Of City Public Bicycle Rental Station

Rapid development process of our urban traffic motorization lead to problems such as energy, traffic congestion, environmental pollution and other problems caused by increasingly prominent in transportation system development experience from abroad on the basis of the development of the public transport system has become a public bicycle system to solve many of our urban transportation an important measure of negative impact. Public bike has a low-carbon environment, adaptable, convenient and can be linked to other transport modes and other characteristics of local governments increasingly widespread attention.Firstly, the paper describes the types of functional urban public bicycle system, applicability and characteristics, as well as unrestricted bike rental points. Have been brought into operation in Lanzhou City District public bicycle system were studied in detail, and its objective evaluation. By Trip Characteristics Xigu District residents in the form of a questionnaire, obtained the needs of residents in the age distribution, occupational characteristics, income and travel information features and other aspects of the impact in the public bicycle system for a large number of survey data after forecasting model It provides data support.Secondly, in the division of communal bike rental points, in-depth study of the spatial clustering method, the first innovative system using the clustering method to a shared bike rental points for clustering. On this basis, to determine the final location of the best municipal bike place, the use of continuous location model Weber proposed determining the location of the primary cluster after the geometric center of gravity method, iterative method to achieve optimal site selection program.Finally, the study of the population of Xigu District of Lanzhou City, cadastral division and other data, the zoning plan under study is subdivided into 10 sub-areas. Combining residential area within the separated areas, population distribution, and consider public bicycle overlay network is formed, initially identified 85 alternative rental points. From the distribution of the resident population, commercial outlets, jobs, public facilities, combined with the questionnaire obtained data traffic demand in each area, initially identified the number of vehicles on their own regional public should be configured. Then, follow the shortest distance method of alternative rental point system clustering analysis, site selection model by Weber got the best position of public bike rental points, and ultimately determine the layout of the location within the lease area 10 points, and each lease point number of vehicles equipped with its own public.