A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Route-Level Transit Operational-Efficiency Assessment with a Bootstrap Super-Data-Envelopment Analysis Model
AbstractRoute-level operational efficiency assessment is an essential task for transit service providers to capture passenger demand trends, operational constraints, concerns of stakeholders, and changing service needs. It also allows the responsible authorities to achieve better economic performance assessment, organization administration, and transit planning and financing. This paper presents a bootstrap super-data-envelopment analysis (DEA) model for route-level transit operational efficiency assessment. Differently from previous studies, the proposed model contributes to integrating the bootstrap method, a statistical inferring method of random resampling with replacement, with a super-DEA model, an extended DEA model of breaking ties in those efficient units, to improve the estimation precision and to overcome the problem of efficiency deviation in the case of small data set. The proposed model also features to generate an interval-based route efficiency estimates to prevent errors due to imperfect data and judgment mistakes. The proposed model has been applied to evaluating the efficiencies of 17 bus routes managed by the 3rd bus company in the city of Chongqing, China.
Route-Level Transit Operational-Efficiency Assessment with a Bootstrap Super-Data-Envelopment Analysis Model
AbstractRoute-level operational efficiency assessment is an essential task for transit service providers to capture passenger demand trends, operational constraints, concerns of stakeholders, and changing service needs. It also allows the responsible authorities to achieve better economic performance assessment, organization administration, and transit planning and financing. This paper presents a bootstrap super-data-envelopment analysis (DEA) model for route-level transit operational efficiency assessment. Differently from previous studies, the proposed model contributes to integrating the bootstrap method, a statistical inferring method of random resampling with replacement, with a super-DEA model, an extended DEA model of breaking ties in those efficient units, to improve the estimation precision and to overcome the problem of efficiency deviation in the case of small data set. The proposed model also features to generate an interval-based route efficiency estimates to prevent errors due to imperfect data and judgment mistakes. The proposed model has been applied to evaluating the efficiencies of 17 bus routes managed by the 3rd bus company in the city of Chongqing, China.
Route-Level Transit Operational-Efficiency Assessment with a Bootstrap Super-Data-Envelopment Analysis Model
Wang, Yaojun (author) / Yu, Jie / Li, Xin / Shaw, John
2017
Article (Journal)
English
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