{"title":"斯里兰卡经济舱乘客航空公司选择模型的研究","authors":"Pasindu Nayanashan, Anuja Fernando","doi":"10.1109/MERCon52712.2021.9525796","DOIUrl":null,"url":null,"abstract":"This research describes a methodology to model economy class passenger choice in Sri Lanka by using several software and choice modeling techniques. The airline was considered as the service provider and passenger buying power and the behavior is examined in this research. A survey has been conducted to collect data and Multinominal logistic regression is used to identify the attribute of choice making. Orange and Excel software is used to differentiate among each technique such as random forest, Naïve Bayes, regression, etc. ultimately the attributes were ranked according to the impact for the choice-making and model fitted and validated by using test data set for each modeliug technique to highlight the accuracy of each technique.","PeriodicalId":6855,"journal":{"name":"2021 Moratuwa Engineering Research Conference (MERCon)","volume":"111 1","pages":"368-373"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Developing an Airline Choice Model for Economy Class Passengers in Sri Lanka\",\"authors\":\"Pasindu Nayanashan, Anuja Fernando\",\"doi\":\"10.1109/MERCon52712.2021.9525796\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research describes a methodology to model economy class passenger choice in Sri Lanka by using several software and choice modeling techniques. The airline was considered as the service provider and passenger buying power and the behavior is examined in this research. A survey has been conducted to collect data and Multinominal logistic regression is used to identify the attribute of choice making. Orange and Excel software is used to differentiate among each technique such as random forest, Naïve Bayes, regression, etc. ultimately the attributes were ranked according to the impact for the choice-making and model fitted and validated by using test data set for each modeliug technique to highlight the accuracy of each technique.\",\"PeriodicalId\":6855,\"journal\":{\"name\":\"2021 Moratuwa Engineering Research Conference (MERCon)\",\"volume\":\"111 1\",\"pages\":\"368-373\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 Moratuwa Engineering Research Conference (MERCon)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MERCon52712.2021.9525796\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 Moratuwa Engineering Research Conference (MERCon)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MERCon52712.2021.9525796","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Developing an Airline Choice Model for Economy Class Passengers in Sri Lanka
This research describes a methodology to model economy class passenger choice in Sri Lanka by using several software and choice modeling techniques. The airline was considered as the service provider and passenger buying power and the behavior is examined in this research. A survey has been conducted to collect data and Multinominal logistic regression is used to identify the attribute of choice making. Orange and Excel software is used to differentiate among each technique such as random forest, Naïve Bayes, regression, etc. ultimately the attributes were ranked according to the impact for the choice-making and model fitted and validated by using test data set for each modeliug technique to highlight the accuracy of each technique.