Alkharabsheh, A., Moslem, S., Duleba, S., 2019, Evaluating passenger demand for development of the urban transport system by an AHP model with the real-world application of Amman, Applied Sciences (Switzerland), 9(22). DOI: 10.3390/app922475910.3390/app9224759
Anagnostopoulos, K., Giannopoulou, M., Roukounis, Y., 2003. Multicriteria evaluation of transportation infrastructure projects: An application of PRO-METHEE and GAIA methods, Advances in Transport, 14, 599-608, DOI: 10.2495/UT030591
Arcidiacono, S.G., Greco, P.S., 2018. Robustness Analysis for Interacting Criteria in Advanced Decision Support Systems, niversity of Catania and University of Messina. Available at: https://iris.unime.it/retrieve/handle/11570/3131327/214741/PhD Thesis Arcidiacono Sally Giuseppe.pdf.
Bagherikahvarin, M., De Smet, Y., 2017. Determining new possible weight values in PROMETHEE: A procedure based on data envelopment analysis, Journal of the Operational Research Society, 68(5), 484-495. DOI: 10.1057/s41274-016-0107-110.1057/s41274-016-0107-1
Balali, V. et al., 2014. Selection of appropriate material, construction technique, and structural system of bridges by use of multicriteria decision-making method, Transportation Research Record, 2431(1), 79-87, DOI: 10.3141/2431-1110.3141/2431-11
Bilişik, Ö.N. et al., 2013. A hybrid fuzzy methodology to evaluate customer satisfaction in a public transportation system for Istanbul, Total Quality Management and Business Excellence, 24(9-10), 1141-1159. DOI: 10.1080/14783363.2013.80994210.1080/14783363.2013.809942
Brans, J.P., Vincke, P. and Mareschal, B., 1986. How to select and how to rank projects: The Promethee method, European Journal of Operational Research, 24(2), 228238. DOI: 10.1016/0377-2217(86)90044-510.1016/0377-2217(86)90044-5
Dağdeviren, M., 2008. Decision making in equipment selection: An integrated approach with AHP and PROMETHEE, Journal of Intelligent Manufacturing, 19(4), 397-406, DOI: 10.1007/s10845-008-0091-7,10.1007/s10845-008-0091-7
Elevli, B., Demirci, A., 2004. Multicriteria choice of ore transport system for an underground mine: Application of PROMETHEE methods, Journal of The South African Institute of Mining and Metallurgy, 104(5), 251-256.
Hensher, D.A., Ho, C.Q., Reck, D.J., 2021. Mobility as a service and private car use: Evidence from the Sydney MaaS trial, Transportation Research Part A: Policy and Practice, 145, 17-33, DOI: 10.1016/j.tra.2020.12.01510.1016/j.tra.2020.12.015
Ishizaka, A. et al., 2020. Examining knowledge transfer activities in UK universities: advocating a PROMETHEE-based approach’, International Journal of Entrepreneurial Behaviour and Research, 26(6), 1389-1409. DOI: 10.1108/IJEBR-01-2020-002810.1108/IJEBR-01-2020-0028
Ishizaka, A., Resce, G., 2020. Best-Worst PROMETHEE method for evaluating school performance in the OECD’s PISA project, Socio-Economic Planning Sciences, (May), DOI: 10.1016/j.seps.2020.10079910.1016/j.seps.2020.100799
Kabir, G., Sumi, R.S., 2014. Integrating fuzzy analytic hierarchy process with PROMETHEE method for total quality management consultant selection, Production and Manufacturing Research, 2(1), 380-399. DOI: 10.1080/21693277.2014.89568910.1080/21693277.2014.895689
Kabir, G., Sumi, R.S., 2015. Hazardous waste transportation firm selection using fuzzy analytic hierarchy and PROMETHEE methods, International Journal of Shipping and Transport Logistics, 7(2), 115-136, DOI: 10.1504/IJSTL.2015.06784710.1504/IJSTL.2015.067847
van Lierop, D., El-Geneidy, A., 2016. Enjoying loyalty: The relationship between service quality, customer satisfaction, and behavioral intentions in public transit, Research in Transportation Economics, 59, 50-59, DOI: 10.1016/j.retrec.2016.04.00110.1016/j.retrec.2016.04.001
Lolli, F. et al., 2016, Waste treatment: an environmental, economic and social analysis with a new group fuzzy PROMETHEE approach, Clean Technologies and Environmental Policy, 18(5), 1317-1332 DOI: 10.1007/s10098-015-1087-6.10.1007/s10098-015-1087-6
Macharis, C. et al., 1998, The GDSS PROMETHEE procedure - A PROMETHEE-GAIA based procedure for group decision support, Journal of Decision Systems, 7(May 2014), 283-307, Available at: httpideas.repec.orgpulbulbeco2013-9373.html
Macharis, C. et al., 2004. PROMETHEE and AHP: The design of operational synergies in multicriteria analysis - Strengthening PROMETHEE with ideas of AHP, European Journal of Operational Research, 153(2), 307-317, DOI: 10.1016/S0377-2217(03)00153-X10.1016/S0377-2217(03)00153-X
Moslem, S. et al., 2019. Analysing Stakeholder Consensus for a Sustainable Transport Development Decision by the Fuzzy AHP and Interval AHP, Sustainability, 11(12), 3271, DOI: 10.3390/su1112327110.3390/su11123271
Shen, W., Xiao, W., Wang, X., 2016. Passenger satisfaction evaluation model for Urban rail transit: A structural equation modeling based on partial least squares, Transport Policy, 46, 20–31, DOI: 10.1016/j.tranpol.2015.10.00610.1016/j.tranpol.2015.10.006
Turcksin, L., Bernardini, A., Macharis, C., 2011. A combined AHPPROMETHEE approach for selecting the most appropriate policy scenario to stimulate a clean vehicle fleet, Procedia - Social and Behavioral Sciences, 20, 954-965, DOI: 10.1016/j.sbspro.2011.08.10410.1016/j.sbspro.2011.08.104
Wang, J.J., Yang, D.L., 2006. Using a hybrid multi-criteria decision aid method for information systems outsourcing, Computers and Operations Research, 34(12), 3691-3700 DOI: 10.1016/j.cor.2006.01.01710.1016/j.cor.2006.01.017
Zuo, C. et al., 2018. Reducing carbon emissions related to the transportation of aggregates: Is road or rail the solution?, Transportation Research Part A: Policy and Practice, 117(July), 26-38, DOI: 10.1016/j.tra.2018.08.00610.1016/j.tra.2018.08.006