Analysis of the Transportation System of Trans Gomati in Lucknow

Authors

  • Dharmendra Kumar Ray   M. Tech Scholar, Highway Engineering, Maharishi University of Information Technology, Lucknow, India

DOI:

https://doi.org//10.32628/IJSRSET23103179

Keywords:

Land use infrastructure, Transport Policy, Traffic flow condition, Sustainable development

Abstract

The transport system is a very good policy which helps in moving any architectural or public from one place to another in any area. The transportation system works as a network, connecting towns, cities, states, and countries, in which the public has a very important contribution, and they can meet their needs and economic. Given the use of transport facilities. Transport systems or their different types of modes have a great contribution in increasing the economic development of India or other countries. Given because the increasing population in India, the government makes different plans to the arrangement of the transport system in the old city or village under the transport system, which still needs some improvement, which is explained by research Look at the private vehicles on the road, the government is providing them with a margin rate per public transport facility, but then due to some time, public transport and the economic growth of the country have a bad effect, this time is for the solution by the transport system of Trans Gomti Nagar area in Lucknow city has been analyzed.

References

  1. Smith, B.L., Scherer, W.T., Evans, M.H. and Guerlain, S., 2004. Dynamic Transportation System Condition Maps: Usability Analysis to Support Improved Visualization. In Towards a Vision for Information Technology in Civil Engineering (pp. 1-16).
  2. Liu, R. and Guan, C.Q., 2005. Mode biases of urban transportation policies in China and their implications. Journal of Urban Planning and Development, 131(2), pp.58-70.
  3. Choi, J.H., Barnett, G.A. and CHON, B.S., 2006. Comparing world city networks: a network analysis of Internet backbone and air transport intercity linkages. Global Networks, 6(1), pp.81-99.
  4. Yin, L., Li, Q. and Hu, Y., 2009. Appraisal System of Public Transportation Service Quality. In International Conference on Transportation Engineering 2009 (pp. 972-977).
  5. Chang, L., Elnashai, A.S. and Spencer, B.F., 2009. Transportation system modeling and decision support for catastrophic event planning in the central United States: A case study of St. Louis area. In TCLEE 2009: Lifeline Earthquake Engineering in a Multihazard Environment (pp. 1- 8).
  6. Zuo, Z. and Shao, C., 2009. Analysis and Optimization of Transportation system in Dalian. In International Conference on Transportation Engineering 2009 (pp. 4416-4421).
  7. Wang, X.K., Rao, Q.L., Chen, W.Q., Li, Y.G. and Liu, X., 2010. Study on Urban Public Transport Information Platform Planning. In ICCTP 2010: Integrated Transportation Systems: Green, Intelligent, Reliable (pp. 2328-2339).
  8. Wang, Z., Zhang, M. and Liu, H., 2014. A Utility- Based Method for Urban Transportation System Multi-Modal Level of Service Evaluation. In CICTP 2014: Safe, Smart, and Sustainable Multimodal Transportation Systems (pp. 3052-3065).
  9. Uddin, W., Cobb, S., McCarty, T. and Sharma, J., 2015. Environmental and Energy Concerns for a Life Cycle Analysis of Transportation Systems. In Environmental Sustainability in Transportation Infrastructure (pp. 227-240).
  10. Cheshmehzangi, A. and Thomas, S.M., 2016. Prioritizing accessible transit systems for sustainable urban development: Understanding and evaluating the parameters of a transportation system in Mumbai. Journal of Urban Planning and Development, 142(4), p.05016005.
  11. Csiszár, C. and Földes, D., 2015, June. Analysis and modelling methods of urban integrated information system of transportation. In 2015 Smart Cities Symposium Prague (SCSP) (pp. 1-10). IEEE.
  12. Lin, W., Fu, X. and Mao, T., 2012. Analysis of Urban Transportation System Effect: Evaluating the Difference between Mobility and Accessibility in Orientation. In CICTP 2012: Multimodal Transportation Systems—Convenient, Safe, Cost-Effective, Efficient (pp. 207- 217).
  13. Smith, B.L., Scherer, W.T., Evans, M.H. and Guerlain, S., 2004. Dynamic Transportation System Condition Maps: Usability Analysis to Support Improved Visualization. In Towards a Vision for Information Technology in Civil Engineering (pp. 1-16).
  14. Yuan, J., Shi, J. and Huang, Q., 2009. The Competition Relationship Analysis on BRT and Rail Transit in Urban Integrated Transportation System. In Logistics: The Emerging Frontiers of Transportation and Development in China (pp. 416-423).
  15. Zhang, S., Jia, S., Ma, C. and Wang, Y., 2018, April. Impacts of public transportation fare reduction policy on urban public transport sharing rate based on big data analysis. In 2018 IEEE 3rd International Conference on Cloud Computing and Big Data Analysis (ICCCBDA) (pp. 280-284). IEEE.
  16. Zhou, Y. and Wang, J., 2017. Critical link analysis for urban transportation systems. IEEE Transactions on Intelligent Transportation Systems, 19(2), pp.402-415.
  17. Zuo, Z. and Shao, C., 2009. Analysis and Optimization of Transportation system in Dalian. In International Conference on Transportation Engineering 2009 (pp. 4416-4421).
  18. Zhang, Y., 2018. Measuring Operating Efficiency and Service Effectiveness of Public Transit in China: A Trans-Log Stochastic Frontier Analysis. Journal of Highway and Transportation Research and Development (English Edition), 12(1), pp.105-110.
  19. Dirgahayani, P., 2013. Environmental co-benefits of public transportation improvement initiative: the case of Trans-Jogja bus system in Yogyakarta, Indonesia. Journal of Cleaner Production, 58, pp.74-81.
  20. 20.Makarova, I., Shubenkova, K. and Gabsalikhova, L., 2017. Analysis of the city transport system’s development strategy design principles with account of risks and specific features of spatial development. Transport Problems, 21 Tang, J., Heinimann, H.R. and Han, K., 2019. A Bayesian network approach for assessing the general resilience of road transportation systems: A systems perspective.
  21. Zhang, Y., 2018. Measuring Operating Efficiency and Service Effectiveness of Public Transit in China: A Trans-Log Stochastic Frontier Analysis. Journal of Highway and Transportation Research and Development (English Edition), 12(1), pp.105-110.
  22. Dirgahayani, P., 2013. Environmental co-benefits of public transportation improvement initiative: the case of Trans-Jogja bus system in Yogyakarta, Indonesia. Journal of Cleaner Production, 58, pp.74-81.
  23. Makarova, I., Shubenkova, K. and Gabsalikhova, L., 2017. Analysis of the city transport system’s development strategy design principles with account of risks and specific features of spatial development. Transport Problems.

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Published

2023-06-30

Issue

Section

Research Articles

How to Cite

[1]
Dharmendra Kumar Ray , " Analysis of the Transportation System of Trans Gomati in Lucknow, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 10, Issue 3, pp.660-671, May-June-2023. Available at doi : https://doi.org/10.32628/IJSRSET23103179