| In the context of the era of "Internet +" and the sharing economy,the emergence of shared bicycles has improved the traffic problems of residents in the "last mile" travel,and has solved the shortcomings in the urban transportation system to a great extent.Shared bicycles not only provide residents with a convenient and fast way to travel,but also reduce pollution caused by traffic due to its green and environmental advantages.However,due to competition among enterprises,the disorderly release of shared bicycles has brought severe pressure and challenges to urban transportation planning and management departments.Among them,the more prominent problem is how to reasonably select the location of the shared bicycle service point and how to optimize the cycling route.These two problems are manifested in the uneven distribution of shared bicycle service points,and problems such as "difficult parking and borrowing".At the same time,the shared bicycle cycling routes are poorly connected and the bicycle lanes are not properly sited.Therefore,this article analyzes the use needs of shared bicycle users in the main urban area of Mianyang,and on this basis,rationally plans the service points of shared bicycles and optimizes the cycling routes to satisfy users to the greatest extent.At the same time,increase the utilization rate of shared bicycles,promote the sustainable development of shared bicycles,and improve the slow traffic system in Mianyang.Based on the analysis of the travel characteristics of shared bicycle users in the main urban area of Mianyang City,combined with the current distribution of shared bicycle service points and cycling routes in the main urban area of Mianyang City,the demand for shared bicycle service points,location and cycling in the main urban area of Mianyang City are analyzed.Route optimization research.Firstly,it sorts out and summarizes the related literature on shared bicycle research by domestic and foreign scholars from the two aspects of the location of shared bicycle service points and cycling routes,and clarifies the current research status of shared bicycle service point planning and cycling routes.Use the questionnaire survey method to understand the travel behavior characteristics of bike-sharing users in the main urban area of Mianyang City,and build a Logit model to analyze their influencing factors;use Arc GIS spatial analysis to analyze the spatial distribution of bike-sharing behaviors,and analyze users in combination with time The specific characteristics of demand changes over time and space.Next,establish a demand forecast model for shared bicycles,analyze the demand for shared bicycles in the main urban area of Mianyang,and use the minimum walking distance model to establish a service point location model,and use genetic algorithms to optimize the shared bicycle service point location model Excellent solution set.Based on the analysis of the current situation and causes of the cycling route layout,combined with GIS network analysis and stepwise routing method,the hotspot area of the shared bicycle riding route in the main urban area of Mianyang City is extracted and the route is determined step by step,and finally the riding is determined by level.line.The research conclusions of this paper are as follows:(1)The level of education has the highest significance on whether residents choose shared bicycles,followed by age,occupation,and gender.(2)Users choose to use shared bicycles in residential areas,accounting for the highest proportion of all use occasions,and most expect bicycle service points to be deployed in residential areas;residents use 3-5 times a week with the highest frequency,all of which belong to short-to-medium-distance trips and long-distance trips.Travel less.(3)Shared bicycles have the lowest amount of riding in winter and the highest amount of riding in autumn;there is a significant difference between the amount of riding on weekends and the amount of riding on weekdays.The amount of riding on weekdays is more than that on weekends,and there are obvious morning and evening peaks.The midday small peak phenomenon is mainly the daily commuting cycling behavior.There is no obvious morning and evening peak characteristics in the amount of cycling on weekends.The amount of cycling in each time period is relatively balanced,and the amount of cycling in the evening is higher than that of working days.It is mainly leisure cycling.(4)The spatial distribution of shared bicycles is closely related to the distribution characteristics of urban POI.The spatial distribution of shared bicycles reflects the layout and form of the city to a certain extent.(5)The demand for shared bicycles in the main urban area of Mianyang is about 45,000,and the number of service points is about 600.(6)In terms of location selection of shared bicycle service points,the number of service points on the east side of Capita Land Plaza,Wanda Plaza and People’s Park is obviously insufficient,and other areas are basically reasonable.(7)The city-level cycling routes in the main urban area of Mianyang will be optimized to form a "two horizontal,one vertical and one ring" shared bicycle cycling route,and five leisure landscape cycling routes,namely the Binjiang Greenway cycling route,Xianhai Lake Tourism Ecological Cycling Route,Fule Mountain Tourist Ecological Cycling Route,Urban Park Cycling Route and Urban Core Cycling Route.To sum up,the Logit model calibration method,service point planning model and planning hotspot extraction method proposed in this paper considering user needs can not only solve the problem of location selection and riding of shared bicycle service points in the main urban area of Mianyang City.The problem of route optimization can also provide a reference for the research on the layout of shared bicycles in other cities.In addition,it provides theoretical support for helping bicycle-sharing companies to deploy shared bicycles more reasonably,and enables relevant transportation planning departments to improve the urban transportation system.The basis for decision-making. |
