当前全球二手帆船市场呈现出良好的发展态势在未来这一市场还有很大的发展空间。本报告的目的是为了更好的了解帆船市场考虑了多种帆船特征以及按年份和地区划分的经济数据对价格的影响准备了一份关于二手帆船定价的报告。建立了三个模型 5 Model IListing Price Prediction Model; 6 Model II Listing Price Prediction Model With Re

The global second-hand sailboat market is currently experiencing a positive development trend, and there is still great potential for growth in the future. The purpose of this report is to better understand the sailboat market by considering various sailboat characteristics and economic data categorized by year and region to analyze their impact on prices, and prepare a report on the pricing of second-hand sailboats. Three models were established: Model I: Listing Price Prediction Model; Model II: Listing Price Prediction Model with Regional Impact; Model III: Listing Price Prediction Model in Hong Kong. Models II and III are extensions of Model I.

For Model I, a large amount of new data was collected, including seven sailboat characteristic data and four global economic indicator data, and supplementary data sources were identified and recorded. Missing values were filled using interpolation and the data was further standardized and normalized to establish a good foundation for subsequent modeling. To explore the suitable price fitting model, this report used the BP neural network, random forest, multiple linear regression, SVM regression methods, and decision tree method for fitting and estimation. Based on mean squared error (MSE) and coefficient of determination (R²) as indicators to measure the goodness of fit of the regression model, the random forest method was finally selected to fit sailboat prices and the above influencing factors. In addition, the accuracy of price estimates for each sailboat variant was discussed by plotting an error analysis graph.

For Model II, the random forest method obtained from the previous model was used to construct the model, considering the impact of regional factors on sailboat prices, and discussing the consistency of regional effects on sailboat variants. The importance of all factors on price impact was plotted for both types of sailboats, and the impact on different regions was explained in practical and statistical terms. The study results showed significant regional differences, and the regional effects of different sailboat variants were different. The importance of economic level on Catamarans was much higher than that on Monohulled Sailboats.

For Model III, an evaluation of the application of the model to the Hong Kong (SAR) market was conducted for the geographical region covered by this report, and the regional impact on the prices of two sailboat variants in the subset of Hong Kong (Special Administrative Region) was studied. Through our analysis, the factors influencing ship prices were found to be different for Catamarans and Monohulled Sailboats. Compared with Monohulled Sailboats, Catamarans were more affected by the local economic level, while the price fluctuations of Monohulled Sailboats were relatively small, and the impact of income level on their prices was relatively weak. The reasons for the conclusions were explained.

Finally, sensitivity analysis was conducted on the model to explain the rationality and accuracy of this report's model, and the advantages and disadvantages were specifically explained. A brief report was prepared for Hong Kong sailboat brokers at the end of the article to help them understand the conclusions of this report. The research results provide valuable references for participants in the ship market and provide ideas and directions for further research.