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Home-based telecommuting and intra-household interactions in work and non-work travel: A seemingly unrelated censored regression approach

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dc.contributor.authorKim, Seung-Nam-
dc.contributor.authorChoo, Sangho-
dc.contributor.authorMokhtarian, Patricia L.-
dc.date.available2020-07-10T06:59:35Z-
dc.date.created2020-07-06-
dc.date.issued2015-10-
dc.identifier.issn0965-8564-
dc.identifier.urihttps://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/9420-
dc.description.abstractAlthough telecommuting has become a popular option as a new mode of working, no theoretical or empirical consensus has been reached on its potential for substituting or generating travel. This study aims to evaluate the impact of a household head's telecommuting on household travel while controlling for the interdependence within a household and across travel purposes, by applying seemingly unrelated censored regression models to data from the 2006 Household Travel Survey in the Seoul Metropolitan Area. In terms of vehicle kilometers traveled, the analysis shows that telecommuters' non-commute and non-work trips as well as his/her household members' non-work trips are greater than those of non-telecommuters and their household members', whereas telecommuting partially reduces commuting trips. However, an analysis stratified by household type reveals that the difference for household members is significant only in households with less than one vehicle per employed member: in such households (with insufficient vehicles available), the vehicle otherwise used for mandatory travel, such as for the household head's commute, can be used for non-commute purposes or by other household members if the household head does not use it for commuting. This implies that, when vehicle travel budgets of a given household are limited, this compensatory travel mechanism can make optimum use of limited resources (i.e., vehicles), but offsets the travel-substituting effect of telecommuting. Accordingly, to more precisely estimate the impact of telecommuting-promotion policies and apply them as part of travel demand management strategies, their counteracting effects among household members should be considered. (C) 2015 Elsevier Ltd. All rights reserved.-
dc.language영어-
dc.language.isoen-
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD-
dc.subjectRESIDENTIAL LOCATION-
dc.subjectEMISSIONS IMPACTS-
dc.subjectAIR-QUALITY-
dc.subjectSTATE-
dc.subjectPATTERNS-
dc.subjectDISTANCE-
dc.subjectDEMAND-
dc.subjectPOLICY-
dc.subjectTELECOMMUNICATIONS-
dc.subjectPERSPECTIVES-
dc.titleHome-based telecommuting and intra-household interactions in work and non-work travel: A seemingly unrelated censored regression approach-
dc.typeArticle-
dc.contributor.affiliatedAuthorChoo, Sangho-
dc.identifier.doi10.1016/j.tra.2015.07.018-
dc.identifier.scopusid2-s2.0-84939791854-
dc.identifier.wosid000362607200014-
dc.identifier.bibliographicCitationTRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, v.80, pp.197 - 214-
dc.relation.isPartOfTRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE-
dc.citation.titleTRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE-
dc.citation.volume80-
dc.citation.startPage197-
dc.citation.endPage214-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassssci-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaBusiness & Economics-
dc.relation.journalResearchAreaTransportation-
dc.relation.journalWebOfScienceCategoryEconomics-
dc.relation.journalWebOfScienceCategoryTransportation-
dc.relation.journalWebOfScienceCategoryTransportation Science & Technology-
dc.subject.keywordPlusRESIDENTIAL LOCATION-
dc.subject.keywordPlusEMISSIONS IMPACTS-
dc.subject.keywordPlusAIR-QUALITY-
dc.subject.keywordPlusSTATE-
dc.subject.keywordPlusPATTERNS-
dc.subject.keywordPlusDISTANCE-
dc.subject.keywordPlusDEMAND-
dc.subject.keywordPlusPOLICY-
dc.subject.keywordPlusTELECOMMUNICATIONS-
dc.subject.keywordPlusPERSPECTIVES-
dc.subject.keywordAuthorHome-based telecommuting-
dc.subject.keywordAuthorTravel demand-
dc.subject.keywordAuthorCompensatory travel-
dc.subject.keywordAuthorVehicle insufficiency-
dc.subject.keywordAuthorSeemingly unrelated censored regression-
dc.subject.keywordAuthorSeoul Metropolitan Area-
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