Determination of level-of-service scale values for quantitative bus transit service attributes based on user perception

2014 ◽  
Vol 11 (1) ◽  
pp. 1-21 ◽  
Author(s):  
Shreya Das ◽  
Debapratim Pandit
Keyword(s):  
Level Of Service ◽  
User Perception ◽  
Transit Service ◽  
Bus Transit

Determination of Level of Service for bus transit using method of successive interval scaling in Mumbai City

2020 ◽  
Vol 79 (ET.2020) ◽  
pp. 1-17
Author(s):  
Suhail Ahmad Khanday
Keyword(s):  
Service Quality ◽  
Public Transport ◽  
Service Level ◽  
Level Of Service ◽  
Successive Interval ◽  
Bus Transit ◽  
Transit Capacity ◽  
The Difference ◽  
Bus Service

Study of commuters’ attitude towards public transport and their perception of existing service quality for different service attribute of public transport have gained immense importance for determining appropriate public transport service level. In this context, level of service (LOS) is identified as a vital tool to measure service quality, as per users’ perception, ranging from LOS A to LOS F which denotes ‘the best’ to ‘worst’ levels. However, the LOS existing benchmarks are defined as per the expert’s judgment. Method of ‘Successive Interval Scaling’ is used to develop LOS values for bus service as per users’ perception which converts ordered categorical scale into an interval scale. Service attributes are selected which are considered important for bus transit and LOS for each attribute is evaluated based on users’ opinion. The results obtained in this study for the city of Mumbai highlights the difference in LOS values between users’ perception and experts’ opinion given by Ministry of Urban Development in India (MoUD), India and the Transit Capacity & Quality of Service Manual (TCQSM).

Contracting Fixed-Route Bus Transit Service

2018 ◽  
Author(s):  
Daniel Boyle ◽  
◽  
◽  
◽  
◽  
...  
Keyword(s):  
Transit Service ◽  
Bus Transit

Minutes Matter: A Bus Transit Service Reliability Guidebook

2020 ◽  
Author(s):  
◽  
Kari Watkins Carly Queen Simon Berrebi Georgia Institute of Technology ◽  
◽  
◽  
◽  
...  
Keyword(s):  
Service Reliability ◽  
Transit Service ◽  
Bus Transit

Understanding Differences in Public Transit: Comparison of Boston and Toronto

1997 ◽  
Vol 1604 (1) ◽  
pp. 9-17 ◽  
Author(s):  
Paul Schimek
Keyword(s):  
Population Density ◽  
Public Transit ◽  
Operating Costs ◽  
Level Of Service ◽  
Massachusetts Bay ◽  
Transit System ◽  
Transit Systems ◽  
Transit Service ◽  
American Cities ◽  
The City

Public transit systems in Toronto and Boston, two North American cities of similar size and income, are compared. Although Boston has a reputation as a transit-oriented city, there are about twice as many public transit trips in Toronto. Transit service in Toronto runs, on average, twice as frequently as service in Boston on a network of similar size. This level of service can be supported in part because population density does not decrease as much with increasing distance from the center of the city and because employment is more centralized. The transit system in Boston is constrained from emulating the Toronto transit system not only by a less transit-favorable distribution of population and employment but also by operating costs that are twice as high. The Massachusetts Bay Transit Authority’s higher costs are the result of more fringe benefits for employees and disproportionately more managers and fixed facilities.

scholarly journals Analisis Peningkatan Kinerja Karyawan Di UP PTSP Kecamatan Makasar dengan Metode Structural Equation Modelling (SEM)

2020 ◽  
Vol 5 (1) ◽  
pp. 53
Author(s):  
Arif Rahman ◽  
Surya Perdana
Keyword(s):  
Structural Equation Modeling ◽  
Work Environment ◽  
Structural Equation ◽  
Employee Performance ◽  
Work Conditions ◽  
Equation Modeling ◽  
Level Of Service ◽  
Equation Modelling ◽  
Time Standard

<p><em>The decline in employee performance at UP PTSP Makasar District is characterized by a decreased level of service time efficiency in the area of KRK and IMB licensing. In addition, the cause of the decline in employee performance is due to the behavior of employees who like to postpone work and come late to work intentionally, and also employees lack the determination of high morale at work. The achievement of the duties of UP PTSP employees in Makasar Sub-District was not in accordance with the determined time standard. The purpose of this study was to determine the effect of the work environment and workload on the performance of UP PTSP Makasar District employees and to know the factors that had to be prioritized to become better. The data used for research is questionnaire data which is processed by the Structural Equation Modeling (SEM) method. This study analyzes the factors of work environment and workload using Structural Equation Modeling (SEM) with AMOS applications. Based on SEM output regression weights value states that there is no significant effect between work environment on employee performance. While there is a significant effect between workload on employee performance. The main priority in improving employee performance through the work environment is cleanliness in the workplace. The main priority in improving employee performance through better workloads is with work conditions at the workplace.</em></p>

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