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Relevant bibliographies by topics / KSRTC

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Journal articles

Academic literature on the topic 'KSRTC'

Author: Grafiati

Published: 4 June 2021

Last updated: 17 June 2025

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Journal articles on the topic "KSRTC"

1

., Vinu, K. S. Premlal, and Saranya Nagalingam. "A cross sectional study on pattern and associated risk factors of musculoskeletal morbidities among government bus drivers in Mangalore, Karnataka." International Journal Of Community Medicine And Public Health 5, no. 12 (2018): 5126. http://dx.doi.org/10.18203/2394-6040.ijcmph20184785.

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Background: Absenteeism, turnover and disability among the drivers appeared to be high. The main conditions leading to disablement among drivers are related to cardiovascular diseases, psychological problems and musculo-skeletal disorders. This study was planned to determine the pattern of musculoskeletal morbidities among government bus drivers in Mangalore, the associated risk factors of musculoskeletal morbidities.Methods: A cross sectional study was conducted at Mangalore KSRTC Bus Depot among 310 bus drivers over a period of 18 months from 2014 to 2016 yr. The study was conducted in three depots of KSRTC division Mangalore in Mangalore city.Results: In our study all drivers were males, the mean age 44.88 years. Out of the 310 bus drivers who participated in the study 298 belonged to upper middle class indicating that the KSRTC drivers are financially stable. The common morbidities were musculoskeletal problems especially low back ache 84.8% followed by neck pain 46.8%,about 32.3% had shoulder pain 15.8% had knee joint involvement. The proportion of bus drivers with hypertension and diabetes mellitus was 35.8%and 7.7% respectively. Out of the 310 bus drivers 239 (77.1%) consumes alcohol. The prevalence of smoking was (85.5%) and tobacco chewing was 14.5%.Conclusions: During our study we found that there is an increased prevalence of chronic conditions like diabetes mellitus and hypertension, this is attributable to the increase stress faced by the drivers in terms of the responsibility they carry to transport the public of all age groups. This unnoticed stress plays a very important part in development of the chronic conditions.

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2

Chandran, Swathy V. "A study on passengers preference towards KSRTC in Thrissur district." INTERNATIONAL JOURNAL OF COMMERCE AND BUSINESS MANAGEMENT 12, no. 2 (2019): 46–51. http://dx.doi.org/10.15740/has/ijcbm/12.2/46-51.

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3

Kurian, Manju, Usha M. Thomas, and Sheela Williams. "A Study to assess the effectiveness of Demonstration Programme on Cardio Pulmonary Resuscitation on the Knowledge and Skill of KSRTC Workers in Selected KSRTC Depots of Mysore." International Journal of Nursing Care 2, no. 2 (2014): 57. http://dx.doi.org/10.5958/2320-8651.2014.01271.x.

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4

Kiran, PreteshRohan, Neethu George, T. Sulekha, JosephS Rao, and Prem Kiran. "Work–life balance among Karnataka State Road Transport Corporation (KSRTC) workers in Anekal Town, South India." Indian Journal of Occupational and Environmental Medicine 22, no. 2 (2018): 82. http://dx.doi.org/10.4103/ijoem.ijoem_25_18.

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5

D.Ed, Mr Harish Tigari M. Com, PGDMM,, and Mr Puneeth A. M.com. "Employees’ Job Satisfaction and Department of Commerce, Davangere University, Shivagangotri, Karnataka, Indiaal Performance: A Case of KSRTC." International Journal of Trend in Scientific Research and Development Volume-3, Issue-3 (2019): 510–13. http://dx.doi.org/10.31142/ijtsrd22841.

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6

P, Sheethal, Mahendra J, and Harish R. "Assessment of quality of life (QoL) in known hypertensive workers of Karnataka State Road Transport Corporation (KSRTC), Mandya district." International Journal of Medical Science and Public Health 4, no. 10 (2015): 1393. http://dx.doi.org/10.5455/ijmsph.2015.12112014287.

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7

Cyril, Anila, Raviraj H. Mulangi, and Varghese George. "Bus Passenger Demand Modelling Using Time-Series Techniques- Big Data Analytics." Open Transportation Journal 13, no. 1 (2019): 41–47. http://dx.doi.org/10.2174/1874447801913010041.

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Background: Public transport demand forecasting is the fundamental process of transport planning activity. It plays a pivotal role in the decision making, policy formulations and urban transport planning procedures. In this paper, public bus passenger demand forecasting model is developed using a novel approach. The empirical passenger demand for a bus depot is modelled and forecasted using a data-driven method. The big data generated by Electronic Ticketing Machines (ETM) used for issuing tickets and collecting fares is sourced as the data for demand modelling. This big data is time indexed and hence has the potential for use in time-series applications which were not previously explored. Objectives: This paper studies the application of time-series method for forecasting public bus passenger demand using ETM based time-series data. The time-series approach used is the four Holt-Winters’ modeling methods. Holt-Winters’ additive and multiplicative models with and without damping have been empirically compared in this study using the data from the inter-zonal buses. The data used in the study is a part of the transaction on ticket sales by Kerala State Road Transport Corporation (KSRTC) maintained at the Trivandrum City depot of an Indian state Kerala, for the period between 2010 and 2013. The forecasting performance of four time-series models is compared using Mean Absolute Percentage Error (MAPE) and the model goodness of fit is determined using information criteria. Conclusion: The forecasts indicate that multiplicative models with and without damping, which better account for seasonal variations, outperform the additive models.

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8

K, Harpreet, and Raichur K. "A cross-sectional study for assessment of audio-visual reaction time in KSRTC drivers of age group 20-40 years in Belgaum city with respect of working hours." Indian Journal of Sleep Medicine 6, no. 4 (2011): 135–39. http://dx.doi.org/10.5005/ijsm-6-4-135.

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9

Padmajothi, M. S., M. C. Chaitra, and Sri Archana Shetty. "Evaluation of visual acuity in drivers as studied in Kolar district." International Journal of Preclinical and Clinical Research 2, no. 1 (2021): 1–4. http://dx.doi.org/10.51131/ijpccr/v2i1.6.

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To assess the visual acuity, identify the cause for reduced vision & to advice patients regarding correction of vision in drivers for safe driving. Analysis of a cross-sectional study of people having a history of driving — two-wheeler, four-wheeler or autorickshaw was done. Best corrected visual acuity (BCVA) less than 6/6 in the better eye were selected for the study through screening camps for KSRTC bus drivers, Autorickshaw drivers and patients coming to the OPD of R L Jalappa Hospital & Research Center in Kolar district, having a history of driving a two-wheeler, four-wheeler & autorickshaw were included. Patients who have stopped driving due to reduced vision were excluded from the study. After taking an informed consent, patients underwent a comprehensive ophthalmic examination. Those patients who were identified as having decreased vision were advised regarding the necessary treatment. Out of 706 patients, 87.99 % of drivers in this study were males and majority belonged to the age group between 20-30 years. 29.17 % of patients did not have driving license though they were driving either 2 or four-wheeler vehicles or Autorickshaws. 41% of patients did not have any eye checkup prior to our examination and after our examination was done 58.9% of patients were advised spectacle correction. This highlights the need for intensified health education to encourage drivers who experience these defects to seek prompt medical help and advice. The prevalence of refractive errors among the study population also indicates the need to enforce the law on comprehensive eye examination by appropriate professionals, as enshrined in the law, rather than just measuring visual acuity prior to acquiring or renewing drivers’ licenses, as is currently the case. Keywords: Best corrected visual acuity; drivers; reduced vision; RTA

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10

Jiao, Mengmeng, Wenzhen Lv, Wei Lü, Qi Zhao, Baiqi Shao, and Hongpeng You. "Optical properties and energy transfer of a novel KSrSc2(PO4)3:Ce3+/Eu2+/Tb3+ phosphor for white light emitting diodes." Dalton Transactions 44, no. 9 (2015): 4080–87. http://dx.doi.org/10.1039/c4dt03906h.

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Tunable blue to blue-green novel KSrSc<sub>2</sub>(PO<sub>4</sub>)<sub>3</sub>:Ce<sup>3+</sup>,Tb<sup>3+</sup> and KSrSc<sub>2</sub>(PO<sub>4</sub>)<sub>3</sub>:Eu<sup>2+</sup>,Tb<sup>3+</sup> phosphors have been prepared and investigated in detail.

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