In China,with the sound development of urbanization and economy,the number of private cars is rising rapidly.The rapid growth of the number of private cars has caused a series of problems such as urban road congestion,environmental pollution,energy consumption and resource waste.As a new and sustainable mode of transportation,car-sharing can not only meet people’s diverse travel needs,but also slow down the rapid growth of car ownership,effectively alleviate the above problems.But there are still many problems in station layout of car-sharing,these problems seriously affect the user’s car-using experience,not conducive to the development of car-sharing business.On the one hand,the low density of car-sharing stations and unreasonable location settings make it difficult for users to find a car.On the other hand,it is reflected in the long walking distance for users to pick up and return their cars,which makes it difficult for users to pick up and return their cars.Therefore,it is of great significance to study scientific and reasonable layout methods of car-sharing stations and discuss the combination of car-sharing and other modes of transportation to improve the car-using experience of car-sharing users and promote the healthy and sustainable development of the car-sharing industry.In order to better solve the problem of location selection of car-sharing station in cities,this thesis made the following research.Firstly,based on multi-source data,candidate sites of car-sharing were extracted,potential demand points of car-sharing were obtained,and the corresponding potential demand of car-sharing potential demand points were calculated,which laid a foundation for solving the location selection of car-sharing station.Secondly,starting from the directions of adaptability,user preference and economy,we built the car-sharing station location selection model based on the P median model and the maximum coverage model respectively.By analyzing the convenience of taking and returning the car and meeting the needs of users in the station selection results,the relevant decision-making factors of car-sharing station location selection in the early stage are systematically studied.Finally,this thesis introduces the factor that users use shared bikes to pick up and return cars,constructs a car-sharing station location selection model considering the connection of shared bikes and car-sharing,and uses genetic algorithm to solve the model.By comparing the station selection results of car-sharing the optimal site layout of car-sharing stations was determined and the combined travel mechanism of car-sharing and bicycle-sharing was discussed.The research results of this thesis show that the location selection results obtained by the car-sharing station location selection model based on the maximum coverage model are more advantageous.The combined travel mode of shared bikes and car-sharing can save costs for car-sharing operators by reducing the number of stations while ensuring a high level of satisfaction of users.The method proposed in this thesis can help operators develop reasonable and feasible car-sharing station location selection schemes,which is conducive to the healthy and sustainable development of car-sharing market. |