P. Coto-Millán, R. Sainz-Gonzáles, V. Sabando, G. Carrera-Gómez
{"title":"应用于桑坦德机场的空中交通需求预测模型","authors":"P. Coto-Millán, R. Sainz-Gonzáles, V. Sabando, G. Carrera-Gómez","doi":"10.1400/16910","DOIUrl":null,"url":null,"abstract":"The main contribution of this study is its use of the Box-Jenkins method to estimate passenger demand models for two different demand segments: business travel and leisure travel. This research presents an air traffic forecasting model based on an arima model. Firstly, we offer the intervention model for Easter, the number of working days and the impact of the iberia strike. Then we analyze day of week impact and carry out the forecasting. jel Classification: C53, L93, R41.","PeriodicalId":44910,"journal":{"name":"International Journal of Transport Economics","volume":"13 1","pages":"1000-1012"},"PeriodicalIF":0.3000,"publicationDate":"2004-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"AN AIR TRAFFIC DEMAND FORECASTING MODEL APPLIED TO SANTANDER AIRPORT\",\"authors\":\"P. Coto-Millán, R. Sainz-Gonzáles, V. Sabando, G. Carrera-Gómez\",\"doi\":\"10.1400/16910\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The main contribution of this study is its use of the Box-Jenkins method to estimate passenger demand models for two different demand segments: business travel and leisure travel. This research presents an air traffic forecasting model based on an arima model. Firstly, we offer the intervention model for Easter, the number of working days and the impact of the iberia strike. Then we analyze day of week impact and carry out the forecasting. jel Classification: C53, L93, R41.\",\"PeriodicalId\":44910,\"journal\":{\"name\":\"International Journal of Transport Economics\",\"volume\":\"13 1\",\"pages\":\"1000-1012\"},\"PeriodicalIF\":0.3000,\"publicationDate\":\"2004-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Transport Economics\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1400/16910\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Transport Economics","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1400/16910","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ECONOMICS","Score":null,"Total":0}
AN AIR TRAFFIC DEMAND FORECASTING MODEL APPLIED TO SANTANDER AIRPORT
The main contribution of this study is its use of the Box-Jenkins method to estimate passenger demand models for two different demand segments: business travel and leisure travel. This research presents an air traffic forecasting model based on an arima model. Firstly, we offer the intervention model for Easter, the number of working days and the impact of the iberia strike. Then we analyze day of week impact and carry out the forecasting. jel Classification: C53, L93, R41.