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Title: Using the Three-Factor Method to Identify Improvement Priorities for Express and Local Bus Services in the Twin Cities, Minnesota
Accession Number: 01626003
Record Type: Component
Abstract: This paper employs the three-factor theory to identify how express and local bus riders perceive the same service attributes differently, and which service attributes have a critical impact on riders’ overall satisfaction. It then provides transit agencies recommendations for service improvements. Specifically, the authors apply ordered logistic models to the 2014 Transit Rider Survey in the Twin Cities to examine how the performance of service attributes affects riders’ overall satisfaction with express and local buses. By adopting the three-factor method, the authors classify the attributes into three groups based on their respective contribution to overall satisfaction. We then integrate the classification of the attributes with their average performances to identify improvement priorities. Both the importance of service attributes to overall satisfaction and the improvement priorities differ between express and local buses. Among the tested attributes, “vehicles are comfortable”, “total travel time is reasonable”, and “reliability” should be addressed first for both local and express buses.
Supplemental Notes: This paper was sponsored by TRB committee AP015 Standing Committee on Transit Capacity and Quality of Service.
Alternate title: Using Three-Factor Method to Identify Improvement Priorities for Express and Local Bus Services in Twin Cities, Minnesota
Monograph Title: Monograph Accession #: 01618707
Report/Paper Numbers: 17-02464
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Wu, XinyiCao, XinyuPagination: 16p
Publication Date: 2017
Conference:
Transportation Research Board 96th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Appendices; References; Tables
TRT Terms: Geographic Terms: Subject Areas: Highways; Planning and Forecasting; Public Transportation
Source Data: Transportation Research Board Annual Meeting 2017 Paper #17-02464
Files: PRP, TRIS, TRB, ATRI
Created Date: Dec 8 2016 10:55AM
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