Online car-hailing and taxi, as two typical modes of non-public transportation in the urban passenger transport market, are showing an increasingly obvious competitive situation. In order to accurately understand the selection characteristics and preferences of online car-hailing and taxi users, this paper analyzes the results of the RP questionnaire based on SPSS analysis software. For the two travel modes, correlation analysis is carried out between user attributes, service evaluation and order attributes, and cross-analysis is carried out on user attributes and usage characteristics. Finally, compare the differences in user selection characteristics of the two travel modes. The analysis results show that users have obvious differences in characteristics and preferences under these two travel modes. For example, female users use more aggregation platforms, while male users gradually increase their use of aggregation platforms as they age. They prefer to choose taxis for short-distance travel, and online car-hailing for long-distance travel. The research results can provide valuable reference for the relevant government departments to formulate more reasonable traffic travel management policies.
With the development of my country's economy and society, in a challenging competitive environment, the traditional business model of small and medium-sized enterprises is facing huge challenges. SY Bottled Water Company is one of the largest drinking water producers in D City, with more than 20 large and medium-sized drinking water sales agencies in the city. In the past, the company relied on the experience of the delivery staff to select the delivery route. With the gradual expansion of the market scale, the original delivery strategy can no longer meet the current delivery needs. Based on the above background, this paper establishes a VRP distribution optimization model for a single center and single vehicle type, and proposes a corresponding genetic algorithm to solve it. Numerical simulation results show that the model proposed in this paper has been significantly improved in terms of the total distance of the distribution route and the total cost, thus verifying the effectiveness of the model.
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