Public Bicycle System Planning Study Based On Suzhou’s Ancient City

Ancient city zone is an area with long history and culture, its superior condition leads to a lot of traffic production and attraction. To meet the traffic needs of the ancient city zone, it is necessary to know that we need to focus on developing public bicycles and other non-motorized traffic as well as public transport to improve the overall traffic fluency and ensure their integrity. Based on the basic data of SuZhou ancient city zone and survey, this paper explored the size prediction of SuZhou ancient city zone public bicycle system, besides, the improved TOPSIS method is used to help solve lease point location problem.Firstly, the situation of SuZhou ancient city zone land utilization and traffic environment are introduced. The existing problems of SuZhou ancient city zone are analyzed. The article also analyzed the characteristics of different non-motorized traffic models. This article gave SuZhou ancient city zone’s public bike system function analysis combining with the analysis of ancient city zone’s public bike development model.Secondly, a field survey has been taken in Suzhou’s ancient city zone. Based on the results of the survey statistics, the article analyzed the ancient city zone public bike rental point borrow and return characteristics and investigate the characteristics of consumer choice behavior; the necessity of developing public bicycle in the ancient city zone is proved in the article and so is the trend of the continue construction of public bicycle system in the future.Tiredly, in order to predict the scale of ancient city zone public bicycle, this article established a Multinomial Logit model to make the Transportation division. With the result of public bicycle demand forecast, this article calculated the initial public bicycle numbers and bicycle pile numbers in SuZhou ancient city zone.Finally, this article analyzed the stationing mode of the ancient city zone’s public bicycle rental points, and the newly increased public bike rental point number is achieved according to the result of prediction. In order to get the best location of the public bicycle rental points, this article set up the ancient city zone public bike rental point location evaluation system, and use the improved TOPSIS method to evaluate the weights in the solution. Besides, taking part of Suzhou’s ancient city zone districts as an example, the article proved the location decision method and the initial size calculation method to be true and the applicability of the method is validated.