A Study On Spatio Temporal Constrained Point Of Interest Accessibility Model

With the development of the times and the improvement of the social level,the focus of transportation planning has shifted from paying attention to the layout of land use transportation facilities to regional,urban and travellers.The accessibility of time and space is an important indicator for measuring the transportation system.Perfection is of great significance.However,the existing space-time accessibility model does not meet people’s needs,such as the lack of comprehensive consideration of the opening hours and time required for multiple points of interest distributed in the travel route.In order to solve this problem,this paper constructs a spatio temporal constrained point of interest accessibility model,which helps people make better travel planning through comprehensive constraints of multiple points of interest.In this paper,the open time,required time and total cost of interest are used as constraints to construct a point-of-interval model of interest-time-space constraints,and use the alternating direction multiplier method to run the platform in Pycharm and use the Python language east model.Solve,form a universal space-time accessibility model that fully considers the constraints of interest points,and plan its parade route to Beijing Happy Valley.The main research contents and innovations of the thesis are as follows:(1)Analyze the existing research on space-time accessibility and summarize the defects of the space-time accessibility method: 1 In the measurement method,only the single travel mode is considered,but the transfer of different travel tools exists in the actual travel.The transfer of bus-metro,car-bus,etc.should be considered;2 the premise of the method is to assume that the individual differences in the area are small,ignoring the differences of different individuals in the region;3 not applicable to small urban areas with underdeveloped traffic;4 There is no effective solution to the last mile problem;5 only focus on the starting point to the end point,ignoring the points of interest in the path to assign the optimal problem.And for the fifth point defect,the solution is proposed,namely the spatio temporal constrained point of interest accessibility model.(2)In order to solve the problem,this paper constructs spatio temporal constrained point of interest accessibility model.Considering the open time and consumption time of multiple points of interest while considering the time constraint,it overcomes the neglect of the traditional model to assign the points of interest.The model combines the time state network with athree-dimensional network structure,simulating the traveler’s travel location and the traveler’s choice path changing due to changes in interest point requirements.This model can help plan personal travel,improve the experience of travel,and has high applicability and practicality.(3)Introducing the alternating direction multiplier method in the spatio temporal accessibility model,this algorithm can better solve the duality problem and has certain convergence,and find the optimal solution for the existing spatio temporal accessibility model.The algorithm is optimized and the algorithm is dynamically programmed using Python 3.0 to make the algorithm more concise.