dc.contributor.authorChen, Chien-Ming
dc.contributor.authorDu, Juan
dc.contributor.authorHuo, Jiazhen
dc.contributor.authorZhu, Joe
dc.date.accessioned2013-08-23T03:51:44Z
dc.date.available2013-08-23T03:51:44Z
dc.date.copyright2012en_US
dc.date.issued2012
dc.identifier.citationChen, C. M., Du, J., Huo, J.,& Zhu, J. (2012). Undesirable factors in integer-valued DEA: Evaluating the operational efficiencies of city bus systems considering safety records. Decision Support Systems, 54(1), 330-335.en_US
dc.identifier.urihttp://hdl.handle.net/10220/13204
dc.description.abstractIn conventional data envelopment analysis (DEA) methods, all inputs and outputs are assumed to be continuous. However, in many practical situations, firms may generate both desirable and undesirable outputs, and some of which may only take integer values (e.g., the number of traffic accidents and deaths in a transportation system). The efficiency evaluation results can be inaccurate if these conditions are not incorporated in the model. In this paper we propose an integer DEA model with undesirable inputs and outputs. The proposed model is developed based on the additive DEA model, in which input and output slacks are used to compute efficiency scores. We also develop an integer super-efficiency model to discriminate the performance of efficient firms. As an illustration, we apply the proposed models to the longitudinal data from a city bus company in Taiwan.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesDecision support systemsen_US
dc.titleUndesirable factors in integer-valued DEA : evaluating the operational efficiencies of city bus systems considering safety recordsen_US
dc.typeJournal Article
dc.contributor.schoolCollege of Business (Nanyang Business School)en_US
dc.identifier.doihttp://dx.doi.org/10.1016/j.dss.2012.05.040


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