{"title":"无车家庭的汽车分配决策:以非工作旅行为例","authors":"R. Anggraini, T. Arentze, H. Timmermans","doi":"10.1080/18128602.2010.539415","DOIUrl":null,"url":null,"abstract":"This study examines the household interactions in the context of the car allocation choice decision in car-deficient households as part of an activity-scheduling process, focusing on non-work tours. A chi-square automatic interaction detector-based algorithm is applied to derive a decision tree using a large activity diary dataset recently collected in the Netherlands. The results show a satisfactory improvement in the goodness-of-fit of the decision tree model compared to the null model. Gender still plays a role. A descriptive analysis indicates that men, more often than women, get the car for non-work tours for which a car allocation decision needs to be made. Tour-level attributes also influence the household car allocation decision for non-work tours. Overall, men exert more influence on the car allocation decision for non-work tours, as indicated by the number of influential variables that relate to males. The developed models will be incorporated in a refinement of the ALBATROSS model – an existing computational process model of activity-travel choice.","PeriodicalId":49416,"journal":{"name":"Transportmetrica","volume":"207 1","pages":"209 - 224"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/18128602.2010.539415","citationCount":"34","resultStr":"{\"title\":\"Car allocation decisions in car-deficient households: the case of non-work tours\",\"authors\":\"R. Anggraini, T. Arentze, H. Timmermans\",\"doi\":\"10.1080/18128602.2010.539415\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study examines the household interactions in the context of the car allocation choice decision in car-deficient households as part of an activity-scheduling process, focusing on non-work tours. A chi-square automatic interaction detector-based algorithm is applied to derive a decision tree using a large activity diary dataset recently collected in the Netherlands. The results show a satisfactory improvement in the goodness-of-fit of the decision tree model compared to the null model. Gender still plays a role. A descriptive analysis indicates that men, more often than women, get the car for non-work tours for which a car allocation decision needs to be made. Tour-level attributes also influence the household car allocation decision for non-work tours. Overall, men exert more influence on the car allocation decision for non-work tours, as indicated by the number of influential variables that relate to males. The developed models will be incorporated in a refinement of the ALBATROSS model – an existing computational process model of activity-travel choice.\",\"PeriodicalId\":49416,\"journal\":{\"name\":\"Transportmetrica\",\"volume\":\"207 1\",\"pages\":\"209 - 224\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1080/18128602.2010.539415\",\"citationCount\":\"34\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transportmetrica\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/18128602.2010.539415\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportmetrica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/18128602.2010.539415","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Car allocation decisions in car-deficient households: the case of non-work tours
This study examines the household interactions in the context of the car allocation choice decision in car-deficient households as part of an activity-scheduling process, focusing on non-work tours. A chi-square automatic interaction detector-based algorithm is applied to derive a decision tree using a large activity diary dataset recently collected in the Netherlands. The results show a satisfactory improvement in the goodness-of-fit of the decision tree model compared to the null model. Gender still plays a role. A descriptive analysis indicates that men, more often than women, get the car for non-work tours for which a car allocation decision needs to be made. Tour-level attributes also influence the household car allocation decision for non-work tours. Overall, men exert more influence on the car allocation decision for non-work tours, as indicated by the number of influential variables that relate to males. The developed models will be incorporated in a refinement of the ALBATROSS model – an existing computational process model of activity-travel choice.