Multidimensional Assessment of Developing an Urban Public Transit Metropolis in China
Publication: Journal of Urban Planning and Development
Volume 142, Issue 3
Abstract
This paper presents a multidimensional framework to evaluate, monitor, and compare the development of public transportation systems towards Transit Metropolis status in different cities in China. In the proposed framework, a policy level is designed to better capture a city’s characteristics and developing priorities as well as the subjective opinions of various transit stakeholders, based on which technical criteria are further compared and assessed in the technical level with an enhanced fuzzy analytical hierarchy process (AHP) model, where a nonlinear optimization formulation is proposed to maximize the consistency in pairwise comparison and weight estimation. The proposed framework offers the advantage of preventing the vagueness and uncertainty of decision-maker(s) when evaluating technical criteria while properly retaining the policy preferences from decision-makers. A case study of nine cities in the Chongqing metropolitan area, China, reveal that the proposed model can effectively evaluate the performance of public transportation system development at different levels of detail. It can be used to generate the rankings of different cities and also to identify deficiencies and areas of improvement.
Get full access to this article
View all available purchase options and get full access to this article.
References
Abreha, D. A. (2007). “Analysing public transport performance using efficiency measures and spatial analysis: The case study of Addis Ababa, Ethiopia.” M.S. thesis, Urban Planning and Land Administration, International Institute for Geo-Information Science and Earth Observation, Enschede, Netherlands.
Badami, M. G., and Haider, M. (2007). “An analysis of public bus transit performance in Indian cities.” Transp. Res. Part A Policy Pract., 41(10), 961–981.
Barnum, D. T., McNeil, S., and Hart, J. (2007). “Comparing the efficiency of public transportation subunits using data envelopment analysis.” J. Public Transp., 10(2), 1–16.
Boile, M. P. (2001). “Estimating technical and scale inefficiencies of public transit systems.” J. Transp. Eng., 187–194.
Bryson, N. (1995). “A goal programming method for generating priority vectors.” J. Oper. Res. Soc., 46(5), 641–648.
Chandran, B., Golden, B., and Wasil, E. (2005). “Linear programming models for estimating weights in the analytic hierarchy process.” Comput. Oper. Res., 32(9), 2235–2254.
China Ministry of Transport. (2011). “China transit metropolis plan.” 〈〉 (Sep. 11, 2015).
Eboli, L., and Mazzulla, G. (2011). “A methodology for evaluating transit service quality based on subjective and objective measures from the passenger’s point of view.” Transp. Policy, 18(1), 172–181.
Filippo, S., Ribeiro, P., and Ribeiro, S. K. (2007). “A fuzzy multi-criteria model applied to the management of the environmental restoration of paved highways.” Transp. Res. Part D, 12(6), 423–436.
Golden, B., Wasil, E., and Harker, P. (1989). The analytic hierarchy process: Applications and studies, Springer, Germany.
Hanaoka, P., and Kunadhamraks, P. (2009). “Multiple criteria and fuzzy based evaluation of logistics performance for intermodal transportation.” J. Adv. Transp., 43(2), 123–153.
Hassan, N. M., Hawas, Y. E., and Anhmed, K. (2013). “A multi-dimensional framework for evaluating the transit service performance.” Transp. Res. Part A Policy Pract., 50, 47–61.
Hawas, Y. E., Khan, M. B., and Basu, N. (2012). “Evaluating and enhancing the operational performance of public bus systems using GIS-based data envelopment analysis.” J. Public Transp., 15(2), 19–44.
Horowitz, A. J., and Thompson, N. A. (1995). “Generic objectives for evaluation of intermodal passenger transfer facilities.” Transp. Res. Rec., 1503, 104–110.
Jin, J. L., Wei, Y. M., and Ding, J. (2004). “Fuzzy comprehensive evaluation model based on improved analytic hierarchy process.” J. Water Sources, 12(3), 65–71.
Karlaftis, M. G. (2004). “A DEA approach for evaluating the efficiency and effectiveness to urban transit systems.” Eur. J. Oper. Res., 152(2), 354–364.
Karlaftis, M. G., and Tsamboulas, D. (2012). “Efficiency measurement in public transport: Are findings specification sensitive?” Transp. Res. Part A Policy Pract., 46(2), 392–402.
Lao, Y., and Liu, L. (2009). “Performance evaluation of bus lines with data envelopment analysis and geographic information systems.” Comput. Environ. Urban Syst., 33(4), 247–255.
Larson, C. D., and Forman, E. H. (2007). “Application of analytic hierarchy process to select project scope for video-logging and pavement condition data collection.” Transp. Res. Rec., 1990, 40–47.
Nakanishi, Y. J., and Falcocchi, J. C. (2004). “Performance assessment of intelligent transportation systems using data envelopment analysis.” Res. Transp. Econ., 8, 181–197.
Nathanail, E. (2008). “Measuring the quality of service for passengers on the Hellenic railways.” Transp. Res. Part A Policy Pract., 42(1), 48–66.
Saaty, T. L. (1980). The analytic hierarchy process, McGraw-Hill, New York.
Sánchez, G. (2009). “Technical and scale efficiency in Spanish urban transport: Estimating with data envelopment analysis.” Adv. Oper. Res., 15.
Sheth, C., Triantis, K., and Teodorović, D. (2007). “Performance evaluation of bus routes: A provider and passenger perspective.” Transp. Res. Part E, 43(4), 453–478.
Sudhakar, Y., and Shrestha, R. M. (2003). “Multi-criteria approach for the selection of alternative options for environmentally sustainable transport system in Delhi.” Transp. Res. Part A Policy Pract., 37(8), 717–729.
Transportation Research Board of the National Academies. (2003). Transit capacity and quality of service manual, Washington, DC.
Tsamboulas, D. A. (2006). “Assessing performance under regulatory evolution: A European transit system perspective.” J. Urban Plann. Dev., 226–234.
Tyrinopoulos, Y., and Antoniou, C. (2008). “Public transit user satisfaction: Variability and policy implications.” Transport Policy, 15(4), 260–272.
UITP (International Association of Public Transport). (2010). “Report on statistical indicators of public transport performance in Sub-Saharan Africa.” 〈〉 (Aug. 15, 2014).
Wang, Y. M., Parkan, C., and Luo, Y. (2008). “A linear programming method for generating the most favorable weights from a pair wise comparison matrix.” Comput. Oper. Res., 35(12), 3918–3930.
Wei, L., Gao, L. M., Yu, Q., and Zhang, W. (2007). “Fuzzy evaluating model of driver’s road safety perception.” J. Traffic Transp. Eng., 4(3), 102–105.
Xu, L. H., and Lian, J. L. (2011). “Research on the evaluation of urban public transportation based on DEA.” Proc., 2011 Int. Conf. on Remote Sensing, Environment and Transportation Engineering (RSETE), Nanjing, China, 8464–8467.
Yeh, C.-H., Deng, H. P., and Chang, Y.-H. (2000). “Fuzzy multi-criteria analysis for performance evaluation of bus companies.” Eur. J. Oper. Res., 126(3), 459–473.
Yu, C. (2002). “A GP-AHP method for solving group decision-making fuzzy AHP problems.” Comput. Oper. Res., 29(14), 1969–2001.
Yu, J., Liu, Y., Chang, G. L., Ma, W. J., and Yang, X. G. (2011). “Locating urban transit hubs: A multi-criteria model and case study in China.” J. Transp. Eng., 137(12), 944–952.
Yu, M., and Fan, C. (2009). “Measuring the performance of multimode bus transit: A mixed structure network DEA model.” Transp. Res. Part E, 45(3), 501–515.
Zhang, D., Jin, J. M., Chen, G., and Wang, B. (2002). “Determination of factors affecting driving fatigue by analytical hierarchy process.” Saf. Sci. Technol. Part A, 3, 46–50.
Zhao, Y., Triantis, K., Murray-Tuite, P., and Edara, P. (2011). “Performance measurement of a transportation network with a downtown space reservation system: A network-DEA approach.” Transp. Res. Part E, 47(6), 1140–1159.
Zhu, J. (2003). Quantitative models for performance evaluation and benchmarking: Data envelopment analysis with spreadsheets and DEA excel solver, Springer International Publishing, Switzerland.
Information & Authors
Information
Published In
Journal of Urban Planning and Development
Volume 142 • Issue 3 • September 2016
Copyright
© 2015 American Society of Civil Engineers.
History
Received: Sep 12, 2014
Accepted: Aug 5, 2015
Published online: Nov 4, 2015
Discussion open until: Apr 4, 2016
Published in print: Sep 1, 2016
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.