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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-25601
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dc.contributor.authorNiroomand, Naghmeh-
dc.contributor.authorJenkins, Glenn P.-
dc.date.accessioned2022-09-08T10:14:29Z-
dc.date.available2022-09-08T10:14:29Z-
dc.date.issued2018-
dc.identifier.issn0313-5926de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/25601-
dc.description.abstractExcerpt of the introduction: [...] This study estimates car drivers’ willingness to pay (WTP) for road safety improvements in North Cyprus. The contingent valuation method (CVM) and choice experiment (CE) methods were used to estimate the welfare change for identical road safety improvements where different attributes were used in the utility functions as the basis for calculating welfare change estimates [...]. In the CVM survey, car drivers were asked directly to state their maximum WTP for the non-market value of road safety, in which demand is unobservable. In the CE survey, car drivers were asked to choose between different alternative scenarios of types of roads and safety features. These choice sets were varied according to a statistical design in order to maximize the precision of the estimates. The paper is organized in five further sections. Section 2 analyzes the econometric method and specification, while Section 3 presents the CE and CVM design. Section 4 describes the econometric analysis. Section 5 provides the resulting model estimates, and Section 6 closes the paper with a discussion and briefly presents our conclusion.de_CH
dc.language.isoende_CH
dc.publisherElsevierde_CH
dc.relation.ispartofEconomic Analysis and Policyde_CH
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/de_CH
dc.subjectCyprusde_CH
dc.subjectCar driverde_CH
dc.subjectContingent valuation methodde_CH
dc.subjectChoice experiment methodde_CH
dc.subjectEnvironmental services and goodsde_CH
dc.subjectRoad safety improvementde_CH
dc.subjectWillingness to payde_CH
dc.subject.ddc363: Umwelt- und Sicherheitsproblemede_CH
dc.titleA comparison of stated preference methods for the valuation of improvement in road safetyde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Management and Lawde_CH
zhaw.organisationalunitZentrum für Arbeitsmärkte, Digitalisierung und Regionalökonomie (CLDR)de_CH
dc.identifier.doi10.1016/j.eap.2018.06.006de_CH
dc.identifier.doi10.21256/zhaw-25601-
zhaw.funding.euNode_CH
zhaw.originated.zhawNode_CH
zhaw.pages.end149de_CH
zhaw.pages.start138de_CH
zhaw.publication.statusacceptedVersionde_CH
zhaw.volume59de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.webfeedW: Spitzenpublikationde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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Niroomand, N., & Jenkins, G. P. (2018). A comparison of stated preference methods for the valuation of improvement in road safety. Economic Analysis and Policy, 59, 138–149. https://doi.org/10.1016/j.eap.2018.06.006
Niroomand, N. and Jenkins, G.P. (2018) ‘A comparison of stated preference methods for the valuation of improvement in road safety’, Economic Analysis and Policy, 59, pp. 138–149. Available at: https://doi.org/10.1016/j.eap.2018.06.006.
N. Niroomand and G. P. Jenkins, “A comparison of stated preference methods for the valuation of improvement in road safety,” Economic Analysis and Policy, vol. 59, pp. 138–149, 2018, doi: 10.1016/j.eap.2018.06.006.
NIROOMAND, Naghmeh und Glenn P. JENKINS, 2018. A comparison of stated preference methods for the valuation of improvement in road safety. Economic Analysis and Policy. 2018. Bd. 59, S. 138–149. DOI 10.1016/j.eap.2018.06.006
Niroomand, Naghmeh, and Glenn P. Jenkins. 2018. “A Comparison of Stated Preference Methods for the Valuation of Improvement in Road Safety.” Economic Analysis and Policy 59: 138–49. https://doi.org/10.1016/j.eap.2018.06.006.
Niroomand, Naghmeh, and Glenn P. Jenkins. “A Comparison of Stated Preference Methods for the Valuation of Improvement in Road Safety.” Economic Analysis and Policy, vol. 59, 2018, pp. 138–49, https://doi.org/10.1016/j.eap.2018.06.006.


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