Operational Effıciency and Energy Saving Analysis of Urban Transportation: The Case of Akcaray

Bu makale 31 Aralık 2023 tarihinde geri çekildi. https://dergipark.org.tr/tr/pub/jetas/article/1380238

Öz

Light rail systems are sustainable, energy-efficient, and eco-friendly alternatives to public transport systems that can offer solutions to increasing traffic density. As a solution to that traffic congestion, Akcaray, the first public transportation light rail system in Kocaeli, was launched by Ulasımpark in Kocaeli in 2017. In this study, operational efficiency and service level performance of 12 trams belonging to Akcaray, and 4 bus lines that interact with Akcaray route are compared with one another by Data Envelopment Analysis. It is found out that while the performance efficiency score of Akcaray is 100% in all 12 trams, it is 100% for one bus line only out of 4 busses. In addition, transportation costs, such as energy/fuel, maintenance cost, accident and environmental costs are calculated, and compared separately for both transportation options. Because Akcaray offers less energy consumption per passenger, it is calculated that USD 317,737/year can be saved, thus as a result, Akcaray consumes 1,3 million Sm3 compressed natural gas less while performing public transportation.

Anahtar Kelimeler

• Public transport
• energy saving
• light rail system
• data envelopment analysis

Kaynakça

1. [1] Ayhan, S., "Operating cost of urban rail systems", MSc. Thesis, Istanbul Technical University 2007.
2. [2] Botas, Natural gas prices. https://www.botas.gov.tr/uploads/dosyaYoneticisi/801241-ubat_2020 (accessed 25 February 2020).
3. [3] Carbon emission assumptions (CEA), Kilograms of CO2 per passenger kilometer for different modes of transport within the UK. http://www.aef.org.uk/downloads/Grams_CO2_transportmodesUK.pdf, 2008 (accessed 12 January 2020).
4. [4] Chu, X., Fielding, G.J., Lamar, B.W., "Measuring transit performance using data envelopment analysis", Transportation Research Part A: Policy and Practice 26(3) (1992) : 223–230.
5. [5] Cook, Wade D., Zhu, Joe (Eds.)., "Data envelopment analysis a handbook of modeling internal structure and network", Springer US, 2014.
6. [6] Cooper, W.W., Seiford, L.M., Tone, K., "Data envelopment analysis: a comprehensive text with models, applications, References and DEA-Solver Software", Second ed. Kluwer, Springer, Boston, 2011.
7. [7] Doomernik, J.E., "Performance and efficiency of high-speed rail systems", Transp. Res. Proc. 8 (2015) : 136–144.
8. [8] Fathi, A., Farzipoor, R., "A novel bidirectional network data envelopment analysis model for evaluating sustainability of distributive supply chains of transport companies", J. Cleaner Production. 184 (2018) : 696–708.

9. [9] Geng, Y., Ma, Z., Xue, B., Ren, W., Liu, Z., Fujita, T., "Co-benefit evaluation for urban public transportation sector-a case of shenyang", China. J. Clean. Prod. 58 (2013) : 82–91.
10. [10] Güner, S., "A new relational data envelopment analysis approach for multiple efficiency models: implementation of Sakarya metropolitan municipality transportation bureau", PhD Diss., Sakarya University, 2014.
11. [11] Güner, S., Coşkun, E., "Determining the best performing benchmarks for transit routes with a multi-objective model: the implementation and a critique of the two-model", Public Transport (2016) : 205–224.
12. [12] Gürsoy, M., "Research on the investigation of light rail systems between Balıkesir city center and Çağış campus", MSc. Thesis, Balıkesir University, 2019.
13. [13] Hanauerová, E., "Assessing the technical efficiency of public procurements in the bus transportation sector in the Czech Republic", Socio-Economic Planning Sciences 66 (2019) : 105–111.
14. [14] Von Hirschhausen, C., Cullmann, A., "A nonparametric efficiency analysis of German public transport companies", Transp. Res. Part E 46 (2010) : 436–445.
15. [15] Holden, R., Xu, B., Greening, P., Piecyk, M., Dadhich, P., "Towards a common measure of greenhouse gas related logistics activity using data envelopment analysis", Transportation Research Part A 91 (2016) : 105–119.
16. [16] Karlaftis, M.G., "A DEA approach for evaluating the efficiency and effectiveness of urban transit systems", Eur. J. Oper. Res. 152 (2004) : 354–364.
17. [17] Kazanbaş, M., "Rate frequency analysis for increasing income of city railway transportation system in Kocaeli", MSc Thesis, Kocaeli University, 2018.
18. [18] Karlaftis, M.G., Tsamboulas, D., "Efficiency measurement in public transport: Are findings specification sensitive?", Transp. Res. Part A Policy Pract. 46 (2012) : 392–402.
19. [19] Kolos, A., Taczanowski J., "The feasibility of introducing light rail systems inmedium-sized towns in Central Europe", Journal of Transport Geography 54 (2016) : 400–413.
20. [20] Lao, Y., Liu, L., "Computers, environment and urban systems performance evaluation of bus lines with data envelopment analysis and geographic information systems", Comput. Environ. Urban Syst. 33 (2009) : 247–255.
21. [21] Lin, B., Du, Z., "Can urban rail transit curb automobile energy consumption?", Energy Policy 105 (2017) : 120–127.
22. [22] Lindberg, G., "Calculating transport accident costs, final report of the expert advisors to the high level group on infrastructure charging (EU Commission Working Group 3)" Borlänge, Sweden, 1999.
23. [23] Love, P.E.D., Ahiaga-dagbui, D., Welde, M., Odeck, J., "Light rail transit cost performance : Opportunities for future- proofing", Transp. Res. Part A 100 (2017) : 27–39.
24. [24] Masoumi, M., Öcalır-Akünal, E.V., "A comparison of performances of urban rail systems in Turkey by Data Envelope Analysis.", Journal of Polytechnic; 21 (4) (2018) : 971-975,
25. [25] Muñuzuri, J., Muñoz-Díaz M., L., "Use of DEA to identify urban geographical zones with special difficulty for freight deliveries", J. Transp. Geogr. 79 (2019), 102490.
26. [26] Mullarkey, S., Caulfield, B., McCormack, S., Basu, B., "A framework for establishing the technical efficiency of electricity distribution counties (EDCs) using Data Envelopment Analysis", Energy Conversion and Management 94 (2015) : 112–123
27. [27] Ozkan, M., Ozcan, A., "An Evaluation of selected environmental indicators by using data envelopment analysis (DEA): OECD performance review", Journal of Administrative Sciences 16 (32) (2018) : 485-508.
28. [28] Knowles, R.D., Ferbrache, F., "Evaluation of wider economic impacts of light rail investment on cities", Journal of Transport Geography 54 (2016) : 430–439.
29. [29] Ricke, K., Drouet, L., Caldeira, K., Tavoni, M., "Country-level social cost of carbon", Nat. Clim. Chang 8 (2018) : 895–900.
30. [30] Garcia Sanchez, I.M., "Technical and scale efficiency in Spanish urban transport: Estimating with data envelopment analysis", Adv. Oper. Res. 2009.
31. [31] Sueyoshi, T., Yuan, Y., Goto, M., "A literature study for DEA applied to energy and environment", Energy Econ. 62 (2017) : 104–124.
32. [32] Sun, J., Yuan, Y., Yang, R., Ji, X., Wu, J., "Performance evaluation of Chinese port enterprises under significant environmental concerns: An extended DEA-based analysis", Transp. Policy 60 (2017) : 75–86.
33. [33] Senlik, İ., "Urban rail transport systems", Electrical Eng. Publication 458 (2016) : 37-39 .
34. [34] Tian, N., Tang, S., Che, A., Wu, P., "Measuring regional transport sustainability using super efficiency SBM-DEA with weighting preference", J. Clean. Prod. 242 (2020) : 118474.
35. [35] To, W.M., Lee, P.K.C., Yu, B.T.W., "Sustainability assessment of an urban rail system The case of Hong Kong", Journal of Cleaner Production 253 (2020) : 119961.
36. [36] Topal, O., Nakir, İ., "Total cost of ownership based economic analysis of diesel, CNG and electric bus concepts for the public transport in Istanbul city", Energies 11(9) (2018) : 2369.
37. [37] Wei, R., Liu, X., Mu, Y., Wang, L., Golub, A., Farber, S., "Evaluating public transit services for operational efficiency and access equity", J. Transp. Geogr. 65 (2017) : 70–79.
38. [38] Yıldız, A., Arıkan, O., "Technical and economical efficiency analysis for DC electric railway systems", European Journal of Science and Technology 16(2019) : 729-739.
39. [39] Zhang, C., Juan, Z., Luo, Q., Xiao, G., "Performance evaluation of public transit systems using a combined evaluation method", Transport Policy 45 (2016). 156–167.
40. [40] Zhu, J., Cook, W.D., "Data envelopment analysis modeling operational process and measuring productivity", Create Space Independent Publishing Platform, 2008.
41. [41] Zhu, J., "Quantitative models for performance evaluation and benchmarking data envelopment analysis with spreadsheets", Springer, 2014.