Dimensional Multivariate Statistics on Quality Enhancement Systems Embraced for Rapid Transit Systems
Priyanka Prabhakaran1, S. Anandakumar2

1Mrs. Priyanka Prabhakaran, Assistant Professor, Kongu Engineering College, Perundurai, Erode, Tamilnadu, India.
2Dr. S. Anandakumar, Professor and Head, Department of Civil Engineering, Kongu Engineering College, Perundurai, Erode, Tamilnadu, India.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 20, 2020. | Manuscript published on March 30, 2020. | PP: 2103-2107 | Volume-8 Issue-6, March 2020. | Retrieval Number: F8060038620/2020©BEIESP | DOI: 10.35940/ijrte.F8060.038620

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Abstract: The study revolves around effective quality practices embraced along the construction of a rapid transit system at the Chennai airport station concerning managers and comfort level satisfaction. It also aims to compare various dimensions of quality practices and satisfaction levels. A Dimensional survey on engineers and metro users was made and analyzed using SPSS software. The study includes mid-level managers and users of the rapid transit system at Chennai, Tamilnadu. The study has tracked down ten dimensions of quality practices such as work hardness, material standards, materials rates, alternate methods, design criteria, safety nature, structural efficiency, work efficiency, labour & work time, job satisfaction to mid-level Manager’s job satisfaction. The study also identified the other ten dimensions such as traffic reduction, Reach on-time, Smart ticketing system, female coach, daily waver Fare, Vehicle strand area, elevators, Frequency of trips, workplace access, Rider Comfort concerning Metro User’s satisfaction. Besides, the study also confirmed that there is a significant impact on the reduction in Traffic reduction, On-Time, Smart ticketing system and Vehicle Strand area. The critical dimensions of the study may help the stakeholders & management to implement effective quality practices in the construction works of rapid transit systems and Services Offered to the Public community.
Keywords: Quality Management, Rapid transit system, Highly viewed Dimensions, Mid-level Manager’s satisfaction, Ride Comfort..
Scope of the Article: Big data quality validation.