Abstract

The development of the sharing economy has made carsharing the main future development model of car rental. Carsharing network investment is enormous, but the resource allocation is limited. Therefore, the reasonable location of the carsharing station is important to the development of carsharing companies. On the basis of the current status of carsharing development, this research considers multiple influencing factors of carsharing to meet the maximum user demand. Meanwhile, the constraint of the limited cost of the company is considered to establish a nonlinear integer programming model for station location of carsharing. A genetic algorithm is designed to solve the problem by analyzing the location model of the carsharing network. Finally, the results of a case study of Lanzhou, China show the effectiveness of the establishment and solution of the station location model.

Highlights

  • Carsharing is gaining popularity due to its green advantages

  • The construction of fixed stations is conducive to the management of cars, and free stations are convenient for users to use cars and for reducing the cost of station construction

  • The results indicate that this research can improve electric carsharing industry can be of enhanced

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Summary

Introduction

Carsharing is gaining popularity due to its green advantages. Carsharing helps reduce the number of private cars, which alleviates traffic congestion in turn [1]. The electric carsharing location and car allocation model of fixed and free stations are considered first. This way improves the efficiency of electric carsharing management and the convenience of user demands. The optimization model and application of electric carsharing are combined to determine maximum user demand with the limited cost ofstation the company asThe the constraint while considering the affecting factors of electric carsharing network location. An optimization model for the area is obtained using genetic algorithm by analyzing thelocation established integerinprogramming location of electric carsharing is established. On the one research is important provide theoretical guidance for the station location ofOn electric carsharing in promoting healthy development of the industry.

Region Discretization
Regional Demand Forecast
Regional Service Matrix
Assumptions
Problem Setting
Mathematical Model
Objective Function
Constraint Condition
Optimization Algorithm
Encoding
Selection
Variation
Termination Condition
Setting up the Case Study
Parameter Calibration
Diagram
Results
Bubble
Conclusions and Prospects
Full Text
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