Sustainability evaluation of rapid routes for buses with a network DEA model

References

• Amemiya, T. (1973). Regression analysis when the dependent variable is truncated normal. Econometrica, 41, 997–1016.
   Web of Science ®Google Scholar
• Barker, W. G. (2005). Can a sustainable transportation system be developed for San Antonio, Texas? Journal of the Transportation Research Board, 1924, 120–128.
   Google Scholar
• Barnum, D. T., Tadon, S., & McNeil, S. (2008). Comparing the performance of bus routes after adjusting for the environment using data envelopment analysis. Journal of Transportation Engineering, 134, 77–85.
   Web of Science ®Google Scholar
• Boschmann, E. E., & Kwan, M. P. (2008). Toward socially sustainable urban transportation: Progress and potentials. International Journal of Sustainable Transportation, 2, 138–157.
   Web of Science ®Google Scholar
• Breen, R. (1996). Regression models; censored, sample selected, or truncated data. SAGE Publications.
   Google Scholar
• Buckley, J., & James, I. (1979). Linear regression with censored data. Biometrika, 66, 429–436.
   Web of Science ®Google Scholar
• Buehler, R., & Pucher, J. (2011). Sustainable transport in Freiburg: Lessons from Germany's environmental capital. International Journal of Sustainable Transportation, 5, 43–70.
   Web of Science ®Google Scholar
• Castillo, H., & Pitfield, D. E. (2010). ELASTIC – A methodological framework for identifying and selecting sustainable transport indicators. Transportation Research Part D, 15, 179–188.
   Web of Science ®Google Scholar
• Chen, H. K. (2016). Structural interrelationships of group service quality, customer satisfaction, and behavioral intention for bus passengers. International Journal of Sustainable Transportation, 10(5), 418–429.
   Web of Science ®Google Scholar
• Cornel, L., & Mirela, L. (2008). The quantification of the sustainable development at local level. WSEAS Transactions on Business and Economics, 5, 3102212–319.
   Google Scholar
• Crotte, A., Graham, D. J., & Noland, R. B. (2011). The role of metro fares, income, metro quality of service and fuel prices for sustainable transportation in Mexico City. International Journal of Sustainable Transportation, 5, 1–24.
   Web of Science ®Google Scholar
• Dash, N., & Balachandra, P. (2016). Benchmarking urban sustainable efficiency: A case of Indian cities. Transportation Research Procedia, 14, 1809–1818.
   Google Scholar
• Debnath, A. K., Haque, M. M., Chin, H. C, & Yuen, B. (2011). Sustainable urban transport: Smart technology initiatives in Singapore. Journal of the Transportation Research Board, 2243, 38–45.
   Web of Science ®Google Scholar
• De Oña, R., & de Oña, J., (2015). Analysis of transit quality of service through segmentation and classification tree techniques. Transportmetrica A: Transport Science, 11(5), 365–387.
   Web of Science ®Google Scholar
• De Oña, J., de Oña, R., Eboli, L., & Mazzulla, G. (2016). Transit passengers’ behavioural intentions: The influence of service quality and customer satisfaction. Transportmetrica A: Transport Science, 12(5), 385–412.
   Web of Science ®Google Scholar
• European Commission. (1999). ExternE-externalities of energy, Vol. 10-National Implimentation.
   Google Scholar
• Falcocchio, J. C. (2004). Performance measures for evaluating transportation systems: Stakeholder perspective. Journal of the Transportation Research Board, 1895, 220–227.
   Google Scholar
• Färe, R., & Grosskopf, S. (2000). Network DEA. Socio-Economic Planning Sciences, 34, 35–49.
   Google Scholar
• Fielding, G. J., Babitsky, T. T., & Brenner, M. E. (1985). Performance evaluation for bus transit. Transportation Research Part A: General, 19A (1), 73–82.
   Google Scholar
• Green, W. H. (1997). Econometrics analysis. Prentice Hall.
   Google Scholar
• Hahn, J. S., Kim, H. R., & Kho, S. Y. (2011a). Analysis of the efficiency of Seoul arterial bus routes and its determinant factors. KSCE Journal of Civil Engineering, 15(6), 1115–1123.
   Web of Science ®Google Scholar
• Hahn, J. S., Kim, H. R., & Kho, S. Y. (2011b). Equity analysis of feeder bus routes in Seoul using DEA (data envelopment analysis) model. Journal of Korean Society of Transportation, 29 (2), 15–24.
   Google Scholar
• Hendrickson, C., Cicas, G., & Matthews, H. S. (2006). Transportation sector and supply chain performance and sustainability. Journal of the Transportation Research Board, 1983, 151–157.
   Google Scholar
• Hidalgo, D., & Graftieaux, P. (2008). Bus rapid transit systems in Latin America and Asia: Results and difficulties in 11 cities. Journal of the Transportation Research Board, 2072, 77–88.
   Web of Science ®Google Scholar
• Holland, M., & Watkiss, P. (2000). Beta version E1.02a benefits table database: estimates of the marginal external costs of air pollution in Europe. National Environmental Technology Centre.
   Google Scholar
• Hong, G. S. (2002). Strategies for sustainable transportation. Korea Transport Institute.
   Google Scholar
• Hwang, S. K., & Song, S. A. (2004). A study for the sustainable urban transport system (phase 2): The evaluation of sustainable transportation system in Seoul metropolitan Area. Korea Transport Institute.
   Google Scholar
• Jeon, C. M., Amekudzi, A. A., & Guensler, R. L. (2010). Evaluating plan alternatives for transportation system sustainability: Atlanta metropolitan region. International Journal of Sustainable Transportation, 4, 227–247.
   Web of Science ®Google Scholar
• Jun, M. J., Choi, K. C., Yu, J. W., & Chung, W. H. (2015). Bus patronage change after sustainable bus reform: A nested logit approach with the case of Seoul. International Journal of Sustainable Transportation, 9(7), 520–528.
   Web of Science ®Google Scholar
• Kang, S. M., & Kim, M. S. (2000). Environmental indices and development of index system. Korea Research Institute for Human Settlements.
   Google Scholar
• Kao, C. (2014). Network data envelopment analysis: A review. European Journal of Operational Research, 239, 1–16.
   Web of Science ®Google Scholar
• Kim, D. H. (2008). A study on the sustainability evaluation indicators and method on urban traffic. Master's Thesis, Graduate School of Kyungwon University, Korea.
   Google Scholar
• Kim, J. S. (2005). A study on the evaluation in the sustainable transportation of the Seoul metropolitan area by comparing with foreign large cities. Master's Thesis, Graduate School of Chung-Ang University, Korea.
   Google Scholar
• Korea Development Institute. (2008). A study on standard guidelines for pre-feasibility study on road and railway projects (5th ed.). Korea: Korea Development Institute.
   Google Scholar
• Kurtulmuşoğlu, F. B., Pakdil, F., & Atalay, K. D. (2016). Quality improvement strategies of highway bus service based on a fuzzy quality function deployment approach. Transportmetrica A: Transport Science, 12(2), 175–202.
   Web of Science ®Google Scholar
• Kyeon, Y. S. (2005). A Study on estimation of sustainable transportation in the metropolitan area with reflected Dwellers’ intention. Master's Thesis, Graduate School of Chung-Ang University, Korea.
   Google Scholar
• Lee, S. Y. (2003). A Study for the sustainable urban transport system (Phase 1): Land development pattern and transportation network system for energy saving. Korea Transport Institute.
   Google Scholar
• Li, J., Chen, X., Li, X., & Guo, X. (2013). Evaluation of public transportation operation based on data envelopment analysis. Procedia – Social and Behavioral Sciences, 96, 148–155.
   Google Scholar
• Li, X., Liu, Y., Wang, Y., & Gao, Z. (2016a). Evaluating transit operator efficiency: An enhanced DEA model with constrained fuzzy-AHP cones. Journal of Traffic and Transportation Engineering (English Edition), 3(3), 215–225.
   Google Scholar
• Li, T., Cao, X., & Yang, W. (2016b). Measuring the efficiency of regional integrated transport in China: A data envelopment analysis. Periodica Polytechnica Transportation Engineering, 44(1), 23–34.
   Google Scholar
• Li, L., Lei, Y., Pan, D., & Si, C. (2016c). Research on sustainable development of resource-based cities based on the DEA approach: A case study of Jiaozuo, China. Mathematical Problems in Engineering, 2016, 1–10.
   Google Scholar
• Loo, B. P. Y., & Chow, A. S. Y. (2008). Changing urban form in Hong Kong: What are the challenges on sustainable transportation? International Journal of Sustainable Transportation, 2, 177–193.
   Web of Science ®Google Scholar
• López, E., & Monzón, A. (2010). Integration of sustainability issues in strategic transportation planning: A multi-criteria model for the assessment of transport infrastructure plans. Computer-Aided Civil and Infrastructure Engineering, 25, 440–451.
   Web of Science ®Google Scholar
• Markandya, A. (1998). Economics of greenhouse gas limitations: The indirect costs and benefits of greenhouse gas limitations. Denmark: UNEP Collaborating Centre on Energy and Environment.
   Google Scholar
• Ministry of Land, Infrastructure and Transport. (2015). Statistical yearbook of MOLIT 2015. Korea: Ministry of Land, Infrastructure and Transport.
   Google Scholar
• National Institute of Environment Research. (2007). Air pollutants emission estimation method. Korea: National Institute of Environment Research.
   Google Scholar
• Piña, W. H. A., & Martínez, C. I. P. (2016). Development and urban sustainability: An analysis of efficiency using data envelopment analysis. Sustainability, 8(2), 148.
   Web of Science ®Google Scholar
• Potter, S. (2007). Exploring approaches towards a sustainable transport system. International Journal of Sustainable Transportation, 1, 115–131.
   Web of Science ®Google Scholar
• Racehorse, V. J., Zhang, G., Sussman, A., Jian, A., & Parker, T. (2015). Bus rapid transit system deployment for high quality and cost-effective transit service: A comprehensive review and comparative analysis. IET Intelligent Transport Systems, 9(2), 175–183.
   Web of Science ®Google Scholar
• Seiford, L. M., & Zhu, J. (2002). Modeling undesirable factors in efficiency evaluation. European Journal of Operational Research, 142, 16–20.
   Web of Science ®Google Scholar
• Shay, E., & Khattak, A. J. (2010). Toward sustainable transport: Conventional and disruptive approaches in the U.S. context. International Journal of Sustainable Transportation, 4, 14–40.
   Web of Science ®Google Scholar
• Shen, Y., Ruan, D., Hermans, E., Brijs, T., Wets, G., & Vanhoof, K. (2011). Sustainable road transport in the European union. Journal of the Transportation Research Board, 2242, 37–44.
   Web of Science ®Google Scholar
• Shiau, T. A., & Jhang, J. S. (2010). An integration model of DEA and RST for measuring transport sustainability. International Journal of Sustainable Development & World Ecology, 17(1), 76–83.
   Web of Science ®Google Scholar
• Steg, L., & Gifford, R. (2005). Sustainable transportation and quality of life. Journal of Transport Geography, 13, 59–69.
   Google Scholar
• Tang, S., & Lo, H. K. (2008). The impact of public transport policy on the viability and sustainability of mass railway transit – The Hong Kong experience. Transportation Research Part A, 42, 563–576.
   Google Scholar
• Tobin, J. (1958). Estimation of relationship for limited dependent variables. Econometrica, 26, 24–36.
   Web of Science ®Google Scholar
• Tone, K., & Tsutsui, M. (2009). Network DEA: A slacks-based measure approach. European Journal of Operational Research, 197, 243–252.
   Web of Science ®Google Scholar
• Umer, A., Hewage, K., Haider, H., & Sadiq, R. (2016). Sustainability assessment of roadway projects under uncertainty using Green Proforma: An index-based approach. International Journal of Sustainable Built Environment 2016: In Press.
   Google Scholar
• Wachs, M. (2010). Transportation policy, poverty, and sustainability. Journal of the Transportation Research Board, 2163, 5–12.
   Web of Science ®Google Scholar
• Wu, J., Yang, M., Rasouli, S., & Xu, C. C. (2016). Exploring passenger assessments of bus service quality using Bayesian networks. Public Transportation, 19(3), 36–54.
   Web of Science ®Google Scholar
• Yoshino, D., Fujiwara, A., & Zhang, J. (2010). Environmental efficiency model based on data envelopment analysis and its application to environmentally sustainable transport policies. Journal of the Transportation Research Board, 2163, 112–123.
   Web of Science ®Google Scholar
• Yu, Y., & Wen, Z. (2010). Evaluating China's urban environmental sustainability with data envelopment analysis. Ecological Economics, 69, 1748–1755.
   Web of Science ®Google Scholar