A Skill Gap study of LMV Drivers in and around Hyderabad
International Journal of Economics and Management Studies |
© 2021 by SSRG - IJEMS Journal |
Volume 8 Issue 1 |
Year of Publication : 2021 |
Authors : Dr.K.Jagannayaki, Dr. Mantha Srinivas, K.Hareesh Kumar Reddy, Niranjan Prabhu |
How to Cite?
Dr.K.Jagannayaki, Dr. Mantha Srinivas, K.Hareesh Kumar Reddy, Niranjan Prabhu, "A Skill Gap study of LMV Drivers in and around Hyderabad," SSRG International Journal of Economics and Management Studies, vol. 8, no. 1, pp. 23-42, 2021. Crossref, https://doi.org/10.14445/23939125/IJEMS-V8I1P103
Abstract:
In the interest of passengers, drivers, local government, quality & standards of living of families of drivers, societal issues, literacy level problems, involvement CPW/NHAI in the identification of own traffic badges and society, it is the need of the hour to know and document problems faced by various sectors related to traffic awareness and its impact on the profession, banking, insurance, government, society and family members.
It is the right choice to study a city like Hyderabad due to its travel demand with three dimensions: design, density, and diversity. Town Planning, GHMC, HMDA, RTA, Traffic engineers, Architects, and urban planners have been paying more attention to explore the correlation between education and experience of drivers of LMVs/Taxis in light of their attitude, behavior, role, and responsibility in addition to their knowledge of MV Act rules and regulations. In the recent past, the involvement of technology with reference to driver/passengers personalized information and also with regards to OEM-MIS models regarding technical maintenance of vehicles. In the olden days, we checked the wear and tear of various components and accessories of any vehicle manually. Today, the situation is not like that very high-end models came into the market through IT/ITES/AI development intervention. The study conducted within Hyderabad City, covering all four corners of the city, covered the ORR range of HMDA. The main focus is on studying the quality of living standards of drivers of LMVs/Taxis and their revenue generation capabilities, socio-economic back-ground, problems, issues, and challenges in their profession. Further, the study tries to dig out future education and training possibilities for needy people based on their attitudes and interests. The study started with an assumption that many of the LMV/Taxi drivers do not have the proper attitude, educational qualifications, experience to understand the MV Act, Traffic rules, regulations, and traffic awareness & responsibility for being a citizen of the country.
Keywords:
Drivers, RTA, MV Act rules & regulations, technical maintenance of vehicles, quality of living standards, socio-economic back-ground, traffic awareness
References:
[1] S. De Vany, Capacity utilization under alternative regulatory restraints: an analysis of taxi markets, Journal of Political Economy, 83(1)(1975), 83–94. View at: Publisher Site | Google Scholar.
[2] C. F. Daganzo, An approximate analytic model of many-to-many demand-responsive transportation systems,” Transportation Research, 12(5)(1978), 325–333. View at Publisher Site | Google Scholar.
[3] T. J. Kim, A combined land use-transportation model when zonal travel demand is endogenously determined,Transportation Research Part B: Methodological, 17(6)(1983), 449–462. View at Publisher Site | Google Scholar.
[4] M.-D. Giraudo and P. Peruch, Spatio-temporal aspects of the mental representation of urban space, Journal of Environmental Psychology, 8(1)(1988), 9–17. View at: Publisher Site | Google Scholar.
[5] R. Arnott, Taxi travel should be subsidized, Journal of Urban Economics, 40(3)(1996), 316–333.View at: Publisher Site | Google Scholar.
[6] R. Cervero and K. Kockelman, Travel demand and the 3Ds: density, diversity, and design, Transportation Research Part D: Transport and Environment, 2(3)(1997), 199–219. View at: Publisher Site | Google Scholar.
[7] H. Yang and S. C. Wong, A network model of urban taxi services, Transportation Research Part B: Methodological, 32(4)(1998), 235–246.View at: Publisher Site | Google Scholar.
[8] K. I. Wong, S. C. Wong, and H. Yang, Modeling urban taxi services in congested road networks with elastic demand, Transportation Research Part B: Methodological, 35( 9) (2001), 819–842. View at: Publisher Site | Google Scholar.
[9] H. Yang, S. C. Wong, and K. I. Wong, Demand-supply equilibrium of taxi services in a network under competition and regulation, Transportation Research Part B: Methodological, 36(9)(2002), 799–819. View at: Publisher Site | Google Scholar.
[10] G. Mintsis, S. Basbas, P. Papaioannou, C. Taxiltaris, and I. N. Tziavos, Applications of GPS technology in the land transportation system, European Journal of Operational Research, 152( 2) (2004) 399–409. View at: Publisher Site | Google Scholar.
[11] Y. O. Susilo and R. Kitamura, Analysis of the day-to-day variability in the individual’s action space: an exploration of the six-week Mobidrive travel diary data, Transportation Research Record: Journal of the Transportation Research Board, no. 1902(2005), 124–133. View at Google Scholar.
[12] K. T. Geurs, B. Van Wee, and P. Rietveld, Accessibility appraisal of integrated land- use-transport strategies: methodology and case study for the Netherlands Randstad area, Environment and Planning B: Planning and Design, vol. 33(5)(2006), 639–660. View at: Publisher Site | Google Scholar.
[13] J. Ying, Continuous optimization method for integrated land use/transportation models, Journal of Transportation Systems Engineering and Information Technology,7(3) (2007), 64–72. View at Publisher Site | Google Scholar.
[14] S. M. Nourbakhsh and Y. Ouyang, A structured, flexible transit system for low demand areas, Transportation Research Part B: Methodological, 46(1)(2012), 204–216. View at: Publisher Site | Google Scholar.
[15] M. Aljoufie, M. Zuidgeest, M. Brussel, and M. van Maarseveen, ,Spatial-temporal analysis of urban growth and transportation in Jeddah City, Saudi Arabia, Cities, 31, (2013) 57–68. View at Publisher Site | Google Scholar.
[16] X. Hu, S. An, and J. Wang, Exploring urban taxi drivers' activity distribution based on GPS data, Mathematical Problems in Engineering, vol. 2014, Article ID 708482, Ned Levine & Associates, CrimeStat: A Spatial Statistics Program for the Analysis of Crime Incident Locations (3.0). Houston, TX, and the National Institute of Justice, Washington, DC, USA, 2014. N. Sathaye, The optimal design and cost implications of electric vehicle taxi systems,Transportation Research Part B: Methodological, 67(2014), 264–283. View at: Publisher Site | Google Scholar.
[17] S. M. Zoepf and D. R. Keith, User decision-making and technology choices in the U.S. carsharing market, Transport Policy, 51(2016), 150–157. View at: Publisher Site | Google Scholar.
[18] S. Harding, M. Kandlikar, and S. Gulati, Taxi apps, regulation, and the market for taxi journeys, Transportation Research Part A: Policy and Practice, 88(2016), 15– 25. View at: Publisher Site | Google Scholar.
[19] P. Waddell, G. F. Ulfarsson, J. P. Franklin, and J. Lobb, Incorporating land use in metropolitan transportation planning, Transportation Research Part A: Policy and Practice, 41(5), 382–410. View at: Publisher Site | Google Scholar.
[20] B. Jiang, J. Yin, and S. Zhao, Characterizing the human mobility pattern in a large street network, Physical Review E: Statistical, Nonlinear, and Soft Matter Physics, 80(2)(2009)., Article ID 021136, View at: Publisher Site | Google Scholar.
[21] D. Luo, Urban Mixed Traffic Network Equilibrium Analysis under the Influence of Taxi Services, Dissertation of Central South University, Changsha, China, 2009.L. Liu, C. Andris, and C. Ratti, Uncovering cabdrivers' behavior patterns from their digital traces, Computers, Environment, and Urban Systems, 34(6),541–548,(2010).View at: Publisher Site | Google Scholar.
[22] Q. Li, T. Zhang, H. Wang, and Z. Zeng, Dynamic accessibility mapping using floating car data: a network-constrained density estimation approach, Journal of Transport Geography, 19(3) (2011), 379–393. View at Publisher Site | Google Scholar.
[23] Y. Zheng, Y. Liu, J. Yuan, and X. Xie, Urban computing with taxicabs, in Proceedings of the 13th International Conference on Ubiquitous Computing (UbiComp '11), 89–98, ACM, Beijing, China, September 2011.View at Publisher Site | Google Scholar.
[24] Z. Zhang and X. He, Analysis and application of spatial distribution of taxi service in city subareas based on taxi GPS data, in Proceedings of the 11th International Conference of Chinese Transportation Professionals: Towards Sustainable Transportation Systems (ICCTP '11)(2011), 1232–1243. Nanjing, China. View at Publisher Site | Google Scholar.
[25] J.-H. Hu, H.-Y. Xie, and G.-P. Zhong, A method for determining taxi reasonable scale based on floating car data, in Proceedings of the 1st International Conference on Transportation Information and Safety: Multimodal Approach to Sustained Transportation System Development - Information, Technology, Implementation, ICTIS 2011, pp. 1255–1262, China, July 2011.View at: Publisher Site | Google Scholar.
[26] C. Kang, X. Ma, D. Tong, and Y. Liu, Intra-urban human mobility patterns: an urban morphology perspective, Physica A: Statistical Mechanics and its Applications, 391(4) (2012).1702–1717. View at: Publisher Site | Google Scholar.
[27] Y. Yue, H. Wang, B. Hu, Q. Li, Y. Li, and A. G. O. Yeh, Exploratory calibration of a spatial interaction model using taxi GPS trajectories,Computers, Environment, and Urban Systems, 36(2)(2012), 140–153View at: Publisher Site | Google Scholar.
[28] Y. Liu, F. Wang, Y. Xiao, and S. Gao, Urban land uses and traffic ‘source-sink areas‘: evidence from GPS-enabled taxi data in Shanghai, Landscape and urban planning, 106(1)(2012), 73–87. View at: Publisher Site | Google Scholar.
[29] C. F. Daganzo, On the design of public infrastructure systems with elastic demand, Transportation Research Part B: Methodological, 46(9) (2012), 1288– 1293. View at: Publisher Site | Google Scholar.
[30] S. M. Nourbakhsh and Y. Ouyang, A structured, flexible transit system for low demand areas, Transportation Research Part B: Methodological, 46(1)(2012), 204–216. View at: Publisher Site | Google Scholar.
[31] M. Aljoufie, M. Zuidgeest,M.Brussel, and M. van Maarseveen, Spatial-temporal analysis of urban growth and transportation in Jeddah City, Saudi Arabia, Cities, 31(2013), 57–68. View at Publisher Site | Google Scholar.
[32] X. Hu, S. An, and J. Wang, Exploring urban taxi drivers activity distribution based on GPS data, Mathematical Problems in Engineering, , Article ID 708482,2014.View at: Publisher Site | Google Scholar (2014).
[33] Ned Levine & Associates, CrimeStat: A Spatial Statistics Program for the Analysis of Crime Incident Locations (v 3.0). Houston, TX, and the National Institute of Justice, Washington, DC, USA, 2014. N. Sathaye, The optimal design and cost implications of electric vehicle taxi systems, Transportation Research Part B: Methodological, 67(2014), 264–283. View at: Publisher Site | Google Scholar.
[34] C. Zhang, S. Zhang, and M. Wang, Location selection method for taxi stands based on GPS data, Transport Research, vol. 1(4) (2015) 42–48. View at Google Scholar.
[35] S. M. Zoepf and D. R. Keith, User decision-making and technology choices in the U.S. carsharing market, Transport Policy, 51(2016), 150–157. View at: Publisher Site | Google Scholar.
[36] S. Harding, M. Kandlikar, and S. Gulati, Taxi apps, regulation, and the market for taxi journeys, Transportation Research Part A: Policy and Practice, 88(2016), 15– 25. View at: Publisher Site | Google Scholar.
[37] P. Waddell, G. F. Ulfarsson, J. P. Franklin, and J. Lobb, Incorporating land use in metropolitan transportation planning, Transportation Research Part A: Policy and Practice, 41( 5)(2007) 382–410. View at: Publisher Site | Google Scholar.