Evaluating the Comprehensive Benefit of Public Transport Service – The Perspective of Three Stakeholders

  • Chunqin Zhang School of Civil Engineering and Architecture, Zhejiang Sci-Tech University
  • Yuting Hu School of Civil Engineering and Architecture, Zhejiang Sci-Tech University
  • Weite Lu Ride Connection, Portland, OR, USA
Keywords: public transport service, stakeholder, comprehensive benefit, network data envelopment analysis

Abstract

Most studies investigate the benefit of public trans-port service from either the perspective of the operators or the public individually, failing to bind them together. Furthermore, they have not considered the significance of the government in quantifying the benefit. This pa-per explores the comprehensive benefit of public trans-port service from the perspectives of three stakeholders; namely, the operators, the public, and government. We develop a comprehensive benefit evaluation tool that is able to quantify production efficiency, service effect, and environmental effect, and test the effectiveness of the tool through a case study in 36 central cities of China. A network data envelopment analysis (NDEA) is used to evaluate the efficiency of the production and service sub-process, and comprehensive benefits. The results re-veal the following: (1) during the period 2010–2017, the production efficiency in 36 central cities showed a down-ward trend; (2) the service effectiveness did not change considerably from 2010 to 2013 but declined gradual-ly during the period 2014–2017; (3) the comprehensive benefits rarely changed during the period 2010–2013, but gradually got worse in response to reductions in the production efficiency and service effectiveness during the period 2014–2017. This study offers a robust tool to mea-sure the benefits of public transport in China for better decision-making, in terms of transit operation and man-agement.

References

Miller P, de Barros AG, Kattan L, Wirasinghe SC. Analyzing the sustainability performance of public transit. Transportation Research Part D: Transport and Environment. 2016;44: 177-198. doi: 10.1016/j.trd.2016.02.012.

Yao D, Xu LQ, Li JP. Evaluating the performance of public transit systems: A case study of eleven cities in China. Sustainability. 2019;11(13): 3555. doi: 10.3390/su11133555.

Zhang CQ, Juan ZC, Lu WT, Xiao GN. Do the organizational forms affect passenger satisfaction? Evidence from Chinese public transport service. Transportation Research Part A: Policy and Practice. 2016;94: 129-148. doi: 10.1016/j.tra.2016.09.007.

Liu L, Chen RC. A novel passenger flow prediction model using deep learning methods. Transportation Research Part C: Emerging Technologies. 2017;84: 74-91. doi: 10.1016/j.trc.2017.08.001.

Zhang CQ, Liu Y, Lu WT, Xiao GN. Evaluating passenger satisfaction index based on PLS-SEM model: Evidence from Chinese public transport service. Transportation Research Part A: Policy and Practice. 2019;120: 149-164. doi: 10.1016/j.tra.2018.12.013.

Wang HM, Xiong W, Wu GD, Zhu DJ. Public-private partnership in public administration discipline: A literature review. Public Management Review. 2017;20(2): 293-316. doi: 10.1080/14719037.2017.1313445.

Zhao Y, Triantis K, Murray-Tuite P, Edara P. Performance measurement of a transportation network with a downtown space reservation system: A network-DEA approach. Transportation Research Part E: Logistics and Transportation Review. 2011;47: 1140-1159. doi: 10.1016/j.tre.2011.02.008.

Venkatesh A, Kushwaha S. Short and long-run cost efficiency in Indian public bus companies using Data Envelopment Analysis. Socio-Economic Planning Sciences. 2018;61: 29-36. doi: 10.1016/j.seps.2017.04.001.

Ottoz E, Fornengo G, Di Giacomo M. The impact of ownership on the cost of bus service provision: An example from Italy. Applied Economics. 2009;41: 337-349. doi: 10.1080/00036840601007260.

Zhang CQ, Juan ZC, Xiao GN. Do contractual practices affect technical efficiency? Evidence from public transport operators in China. Transportation Research Part E: Logistics and Transportation Review. 2015;80: 39-55. doi: 10.1016/j.tre.2015.05.001.

Obeng K, Sakano R, Naanwaab C. Understanding overall output efficiency in public transit systems: The roles of input regulations, perceived budget and input subsidies. Transportation Research Part E: Logistics and Transportation Review. 2016;89: 133-150. doi: 10.1016/j.tre.2016.03.001.

Fitzová H, Matulová M, Tomeš Z. Determinants of urban public transport efficiency: Case study of the Czech Republic. European Transportation Research Review. 2018;10(2): 1-11. doi: 10.1186/s12544-018-0311-y.

Link H. The impact of including service quality into efficiency analysis: The case of franchising regional rail passenger serves in Germany. Transportation Research Part A: Policy and Practice. 2019;119: 284-300. doi: 10.1016/j.tra.2018.11.019.

Shen W, Xiao W, Xin W. Passenger satisfaction evaluation model for urban rail transit: A structural equation modeling based on partial least squares. Transport Policy. 2016;46: 20-31. Doi: 10.1016/j.tranpol.2015.10.006.

Friman M, Tommy G, Ettema D, Olosson LE. How does travel affect emotional well-being and life satisfaction? Transportation Research Part A: Policy and Practice. 2017;106: 170-180. doi: 10.1016/j.tra.2017.09.024.

Zhang CQ, et al. Different Effects of Contractual Form on Public Transport Satisfaction: Evidence from Large- and Medium-Sized Cities in China. Sustainability. 2019;11(19): 5453. doi: 10.3390/su11195453.

Mandhani J, Nayak J, Parida M. Interrelationships among service quality factors of Metro Rail Transit System: An integrated Bayesian networks and PLS-SEM approach. Transportation Research Part A: Policy and Practice. 2020;140: 320-336. doi: 10.1016/j.tra.2020.08.014.

Ni A, et al. Influence mechanism of the corporate image on passenger satisfaction with public transport in China. Transport Policy. 2020,;94: 54-65. doi: 10.1016/j.tranpol.2020.04.014.

Zhang CQ, Xiao GN, Liu Y, Yu F. The relationship between organizational forms and comprehensive effectiveness for public transport services in China? Transportation Research Part A: Policy and Practice. 2018;118: 783-802. doi: 10.1016/j.tra.2018.10.025.

Boitani A, Nicolini M, Scarpa C. Do competition and ownership matter? Evidence from local public transport in Europe. Applied Economics. 2013;45(11): 1419-1434. doi: 10.1080/00036846.2011.617702.

Karlaftis M, Tsamboulas GD. Efficiency measurement in public transport: Are findings specification sensitive? Transportation Research Part A: Policy and Practice. 2012;46(2): 392-402. doi: 10.1016/j.tra.2011.10.005.

Hawas Y, Khan M, Basu N. Evaluating and enhancing the operational performance of public bus systems using GIS-based data envelopment analysis. Journal of Public Transportation. 2012;15: 19-44. doi: 10.5038/2375-0901.15.2.2.

Azadi M, Shabani A, Khodakarami M, Saen R. Planning in feasible region by two-stage target-setting DEA methods: An application in green supply chain management of public transportation service providers. Transportation Research Part E: Logistics and Transportation Review. 2014;70: 324-338. doi: 10.1016/j.tre.2014.07.009.

Gattoufi S, Oral M, Reisman A. Epistemology of data envelopment analysis and comparison with other fields of OR/MS for relevance to applications. Socio-Economic Planning Sciences. 2004;38: 123-140. doi: 10.1016/S0038-0121(03)00021-1.

Yu MM, Fan CK. Measuring the performance of multimode bus transit: A mixed structure network DEA model. Transportation Research Part E: Logistics and Transportation Review. 2009;45: 501-515. doi: 10.1016/j.tre.2008.10.001.

Kao C, Hwang SN. Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan. European Journal of Operational Research. 2008;185: 418-429. doi: 10.1016/j.ejor.2006.11.041.

Kao C. Network data envelopment analysis: A review. European Journal of Operational Research. 2014;239(1): 1-16. doi: 10.1016/j.ejor.2014.02.039.

Wei QN, Yan H, Pang LY. Composite network data envelopment analysis model. International Journal Information Technology & Decision Making. 2011;10(4): 613-633. doi: 10.1142/S0219622011004488.

Fukuyama H, Matousek M. Efficiency of Turkish banking: Two-stage network system. Variable returns to scale model. Journal of International Financial Markets Institutions & Money. 2011;21(1): 75-91. doi: 10.1016/j.intfin.2010.08.004.

Wang K, Huang W, Wu J, Liu YN. Efficiency Measures of the Chinese Commercial Banking System Using an Additive Two Stage DEA. Omega. 2014;44(4): 5-20. doi: 10.1016/j.omega.2013.09.005.

Liu J, Lu W. DEA and ranking with the Network-based approach: A Case of R&D Performance. Omega. 2010;38: 453-464. doi: 10.1016/j.omega.2009.12.002.

Hahn JS, Kim DK, Kim HC, Lee C. Efficiency analysis on bus companies in Seoul city using a network DEA model. KSCE Journal of Civil Engineering. 2013;17: 1480-1488. doi: 10.1007/s12205-013-0467-x.

Fre R, Grosskopf S. Network DEA. Socio-Economic Planning Science. 2000;34: 35-49. doi: 10.1016/s0038-0121(99)00012-9.

Link H. The impact of including service quality into efficiency analysis: The case of franchising regional rail passenger serves in Germany. Transportation Research Part A: Policy and Practice. 2019;119: 284-300. doi: 10.1016/j.tra.2018.11.019.

Fitzová H, Matulová M,Tomeš Z. Determinants of urban public transport efficiency: Case study of the Czech Republic. European Transport Research Review. 2018;10(2): 42. doi: 10.1186/s12544-018-0311-y.

Fitzová H, Matulová M. Comparison of urban public transport systems in the Czech Republic and Slovakia: Factors underpinning efficiency. Research in Transportation Economics 2020;81: 100824. doi: 10.1016/j.retrec.2020.100824.

Wei R, et al. Evaluating public transit services for operational efficiency and access equity. Journal of Transport Geography. 2017;65: 70-79. doi: 10.1016/j.jtrangeo.2017.10.010.

Farrell M. The measurement of productive efficiency. Journal of the Royal Statistical Society. 1957;120: 253-290. doi: 10.2307/2343100.

Charnes A, Cooper W, Rhodes E. Measuring the efficiency of decision making units. European Journal of Operational Research. 1978;2: 429-444. doi: 10.1016/0377-2217(78)90138-8.

Banker RD, Charnes A, Cooper WW. Some models for estimating technical and scale in efficiencies in data envelopment analysis. Management Science. 1984;30(9): 1078-1092. doi: 10.2307/2631725.

Zhang CQ, Juan ZC, Luo QY, Xiao GN. Performance evaluation of public transit systems using a combined evaluation method. Transport Policy. 2016;45: 156-167. doi: 10.1016/j.tranpol.2015.10.001.

Georgiadis G, Politis I, Papaioannou P. Measuring and improving the efficiency and effectiveness of bus public transport systems. Research in Transportation Economics. 2014;48: 84-91. doi: 10.1016/j.retrec.2014.09.035.

Boame AK. The technical efficiency of Canadian urban transit systems. Transportation Research Part E: Logistics and Transportation Review. 2004;40(5): 401-416. doi: 10.1016/j.tre.2003.09.002.

Roy W, Yvrande-Billon A. Ownership, contractual practices and technical efficiency: The case of urban public transport in France. Journal of Transport Economics and Policy. 2007;41(2): 257-282. http://www.jstor.org/stable/20054016.

Karlaftis MG, Tsamboulas D. Efficiency measurement in public transport: Are findings specification sensitive? Transportation Research Part A: Policy and Practice. 2012;46(2): 392-402. doi: 10.1016/j.tra.2011.10.005.

Karlaftis MG. A DEA approach for evaluating the efficiency and effectiveness of urban transit systems. European Journal of Operational Research. 2004;152(2): 354-364. doi: 10.1016/S0377-2217(03)00029-8.

Odeck J. The effect of mergers on efficiency and productivity of public transport services. Transportation Research Part A: Policy and Practice. 2008;42(4): 696-708. doi: 10.1016/j.tra.2007.12.004.

Lin BQ, Du Zl. A study of China’s Urban Vehicle Energy Consumption and Public Transport Efficiency. Economic Research Journal. 2018;53(06): 142-156.

China Transport Statistical Yearbook. Ministry of Transport of the People's Republic of China, 2011-2018. China Communications Press, Beijing.

China City Statistical Yearbook. National Bureau of Statistics (NBS), 2011-2018. China Statistics Press, Beijing.

China Urban Construction Statistical Yearbook. Ministry of Housing and Urban-Rural Development of the People's Republic of China (MOHURD), 2011-2018. China Planning Press, Beijing.

Lao Y, Liu L. Performance evaluation of bus lines with data envelopment analysis and geographic information systems. Computers, Environment and Urban Systems. 2009;33(4): 247-255. doi: 10.1016/j.compenvurbsys.2009.01.005.

Published
2022-03-31
How to Cite
1.
Zhang C, Hu Y, Lu W. Evaluating the Comprehensive Benefit of Public Transport Service – The Perspective of Three Stakeholders. Promet [Internet]. 2022Mar.31 [cited 2024Dec.22];34(2):179-93. Available from: https://traffic.fpz.hr/index.php/PROMTT/article/view/3855
Section
Articles