340
Views
0
CrossRef citations to date
0
Altmetric
Research Article

A comparative MADM approach for prioritizing factors influencing service quality of Intermediate Public Transport as access mode to metro stations in Delhi, India

ORCID Icon, ORCID Icon & ORCID Icon
Article: 2345620 | Received 26 Feb 2024, Accepted 13 Apr 2024, Published online: 16 May 2024

References

  • Ahmadi, H. B., Lo, H. W., Gupta, H., Kusi-Sarpong, S., & Liou, J. J. H. (2020). An integrated model for selecting suppliers on the basis of sustainability innovation. Journal of Cleaner Production, 277, 1. https://doi.org/10.1016/j.jclepro.2020.123261
  • Aires, R. F. D. F., & Ferreira, L. (2018). The rank reversal problem in multi-criteria decision making: A literature review. Pesquisa Operacional, 38(2), 331–27. https://doi.org/10.1590/0101-7438.2018.038.02.0331
  • Beder, J. H., & Heim, R. C. (1990). On the use of RIDIT analysis. Psychometrika, 55(4), 603–616. https://doi.org/10.1007/BF02294665
  • Bross, I. D. J. (1958). How to use ridit analysis. Biometrics, 14(1), 18–38. https://doi.org/10.2307/2527727
  • Cheng, E. W. L., & Li, H. (2002). Construction partnering process and associated critical success factors: Quantitative investigation. Journal of Management in Engineering, 18(4), 194–202. https://doi.org/10.1061/(asce)0742-597x(2002)18:4(194)
  • Chowdhury, T. D., Uddin, M. S., Datta, D., & Taraz, M. A. K. (2018). Identifying important features of paratransit modes in Sylhet City, Bangladesh: A case study based on travelers perception. Civil Engineering Journal, 4(4), 796–811. https://doi.org/10.28991/cej-0309134?
  • Deakin, E., Ferrell, C., Mason, J., & Thomas, J. (2002). Policies and practices for cost-effective transit investments: Recent experiences in the United States. Transportation Research Record: Journal of the Transportation Research Board, 1799(1), 1–9. https://doi.org/10.3141/1799-01
  • Delhi Metro Rail Corporation (DMRC). (2020). DMRC Annual Report 2019–2020.
  • Echaniz, E., Dell’Olio, L., & Ibeas, Á. (2018). Modelling perceived quality for urban public transport systems using weighted variables and random parameters. Transport Policy, 67, 31–39. https://doi.org/10.1016/j.tranpol.2017.05.006
  • Fouracre, P. R., & Maunder, D. A. C. (1979). A review of intermediate public transport in third world cities. In PTRC Summer Annual Meeting. University of Warwick.
  • Gadepalli, R., Tiwari, G., & Bolia, N. (2020). Role of user’s socio-economic and travel characteristics in mode choice between city bus and informal transit services: Lessons from household surveys in Visakhapatnam, India. Journal of Transport Geography, 88, 102307. https://doi.org/10.1016/j.jtrangeo.2018.08.017
  • Gliem, J. A., & Gliem, R. R. (2003). Calculating, interpreting, and reporting Cronbach’s alpha reliability coefficient for Likert-type scales. In Midwest Research-to-Practice Conference in Adult, Continuing, and Community Education, pp. 82–88. https://doi.org/10.1016/B978-0-444-88933-1.50023-4
  • Goel, R., & Tiwari, G. (2014). Promoting low carbon transport in India: Case study of metro rails in Indian Cities. United Nations Environment Programme.
  • Goel, R., & Tiwari, G. (2016). Access-egress and other travel characteristics of metro users in Delhi and its satellite cities. IATSS Research, 39(2), 164–172. https://doi.org/10.1016/j.iatssr.2015.10.001
  • Gutiérrez, L. R., De Vicente Oliva, M. A., & Romero-Ania, A. (2021). Managing sustainable urban public transport systems: An AHP multicriteria decision model. Sustainability, 13(9), 4614. https://doi.org/10.3390/su13094614
  • Harding, S. E., Badami, M. G., Reynolds, C. C. O., & Kandlikar, M. (2016). Auto-rickshaws in Indian cities: Public perceptions and operational realities. Transport Policy, 52, 143–152. https://doi.org/10.1016/j.tranpol.2016.07.013
  • Hung, C. C., & Chen, L. H. (2009). A fuzzy TOPSIS decision making model with entropy weight under intuitionistic fuzzy environment. In Proceedings of the International MultiConference of Engineers and Computer Scientists, IMECS, Hong Kong, pp. 13–16.
  • Javid, M. A., Hussain, S., & Anwaar, M. F. (2020). Passenger’s perceptions on prospects of Qingqi paratransit public transport service in Lahore. Iranian Journal of Science and Technology, Transactions of Civil Engineering, 44(1), 185–195. https://doi.org/10.1007/s40996-019-00273-z
  • Javid, M. A., Okamura, T., Nakamura, F., & Wang, R. (2013). Comparison of commuters’ satisfaction and preferences with public transport: A case of wagon service in Lahore. Jordan Journal of Civil Engineering, 7, 461–472.
  • Ji, Y., Fan, Y., Ermagun, A., Cao, X., Wang, W., & Das, K. (2017). Public bicycle as a feeder mode to rail transit in China: The role of gender, age, income, trip purpose, and bicycle theft experience. International Journal of Sustainable Transportation, 11(4), 308–317. https://doi.org/10.1080/15568318.2016.1253802
  • Joewono, T. B., & Kubota, H. (2005). The characteristics of paratransit and non-motorized transport in Bandung, Indonesia. Journal of the Eastern Asia Society for Transportation Studies, 6, 262–277.
  • Joewono, T. B., & Kubota, H. (2007). User satisfaction with paratransit in competition with motorization in Indonesia: Anticipation of future implications. Transportation, 34(3), 337–354. https://doi.org/10.1007/s11116-007-9119-7
  • Julong, D. (1989). Introduction to grey system theory. The Journal of Grey System, 1, 1–24. https://doi.org/10.1007/978-3-642-16158-2_1
  • Kalifa, M., Özdemir, A., Özkan, A., & Banar, M. (2022). Application of multi-criteria decision analysis including sustainable indicators for prioritization of public transport system. Integrated Environmental Assessment and Management, 18(1), 25–38. https://doi.org/10.1002/ieam.4486
  • Kar, M., Sadhukhan, S., & Parida, M. (2022a). Measuring heterogeneity in perceived satisfaction of private vehicle users towards attributes affecting access to metro stations : A case study of Delhi. Case Studies on Transport Policy, 10(3), 1790–1803. https://doi.org/10.1016/j.cstp.2022.07.009
  • Kar, M., Sadhukhan, S., & Parida, M. (2022b). Assessing commuters’ perceptions towards improvement of intermediate public transport as access modes to metro stations. Transport Policy, 129, 140–155. https://doi.org/10.1016/j.tranpol.2022.10.011
  • Kothari, C. R. (2004). Research methodology: Methods and techniques. New Age International Publishers.
  • Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607–610. https://doi.org/10.1177/001316447003000308
  • Kumar, R. V., & Bhattacharya, S. (2017). Modeling consumer opinion using RIDIT and grey relational analysis. In A. Kumar, M. K. Dash, S. K. Trivedi, & T. K. Panda (Eds.), Handbook of research on intelligent techniques and modeling applications in marketing analytics (pp. 185–201). IGI Global.
  • Kunhikrishnan, P., & Srinivasan, K. K. (2018). Investigating behavioral differences in the choice of distinct Intermediate Public Transport (IPT) modes for work trips in Chennai city. Transport Policy, 61, 111–122. https://doi.org/10.1016/j.tranpol.2017.10.006
  • Kuo, M.-S., & Liang, G.-S. (2011). Combining VIKOR with GRA techniques to evaluate service quality of airports under fuzzy environment. Expert Systems with Applications, 38(3), 1304–1312. https://doi.org/10.1016/j.eswa.2010.07.003
  • Kuo, Y., Yang, T., & Huang, G. W. (2008). The use of grey relational analysis in solving multiple attribute decision-making problems. Computers and Industrial Engineering, 55(1), 80–93. https://doi.org/10.1016/j.cie.2007.12.002
  • Liang, X., Chen, T., Ye, M., Lin, H., & Li, Z. (2021). A hybrid fuzzy BWM-VIKOR MCDM to evaluate the service level of bike-sharing companies: A case study from Chengdu, China. Journal of Cleaner Production, 298, 126759. https://doi.org/10.1016/j.jclepro.2021.126759
  • Liu, C., Bardaka, E., & Paschalidis, E. (2022). Sustainable transport choices in public transit access: Travel behavior differences between university students and other young adults. International Journal of Sustainable Transportation, 17(6), 679–695. https://doi.org/10.1080/15568318.2022.2084656
  • Liu, P. C. Y., Lo, H. W., & Liou, J. J. H. (2020). A combination of DEMATEL and BWM-based ANP methods for exploring the green building rating system in Taiwan. Sustainability, 12(8), 3216. https://doi.org/10.3390/su12083216
  • Majumdar, B. B., Dissanayake, D., Rajput, A. S., Saw, Y. Q., & Sahu, P. K. (2020a). Prioritizing metro service quality attributes to enhance commuter experience: TOPSIS ranking and importance satisfaction analysis methods. Transportation Research Record: Journal of the Transportation Research Board, 2674(6), 124–139. https://doi.org/10.1177/0361198120917972
  • Majumdar, B. B., Mitra, S., & Pareekh, P. (2020b). On identification and prioritization of motivators and deterrents of bicycling. Transportation Letters, 12(9), 591–603. https://doi.org/10.1080/19427867.2019.1671042
  • Majumdar, B. B., Sahu, P. K., Patil, M., & Vendotti, N. (2021). Pedestrian satisfaction-based methodology for prioritization of critical sidewalk and crosswalk attributes influencing walkability. Journal of Urban Planning and Development, 147(3), 1–16. https://doi.org/10.1061/(asce)up.1943-5444.0000718
  • Mandhani, J., Nayak, J. K., & Parida, M. (2020). 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, 140, 320–336. https://doi.org/10.1016/j.tra.2020.08.014
  • Ministry of Housing and Urban Affairs Government of India. (2021). Harmonised guidelines & standards for universal accessibility in India 2021.
  • Ministry of Urban Development. (2014). National Urban Transport Policy. Govt. of India.
  • Mohd Razali, N., & Bee Wah, Y. (2011). Power comparisons of Shapiro-Wilk, Kolmogorov-Smirnov, Lilliefors and Anderson-Darling tests. Journal of Statistical Modeling and Analytics, 2(1), 21–33.
  • Moslem, S., Farooq, D., Ghorbanzadeh, O., & Blaschke, T. (2020). Application of the AHP-BWM model for evaluating driver behavior factors related to road safety: A case study for Budapest. Symmetry, 12(2), 243. https://doi.org/10.3390/sym12020243
  • Onyegiri, I. E., & Oke, S. A. (2017). A grey relational analytical approach to safety performance assessment in an aviation industry of a developing country. Engineering and Applied Science Research, 44, 1–15. https://doi.org/10.14456/easr.2017.1
  • Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64, 12–40.
  • Patil, M., & Majumdar, B. B. (2021). Prioritizing key attributes influencing electric two-wheeler usage: A multi criteria decision making (MCDM) approach – A case study of Hyderabad, India. Case Stud. Transp. Policy,.9(2), 913–929. https://doi.org/10.1016/j.cstp.2021.04.011
  • Phun, V. K., Kato, H., & Yai, T. (2018). Traffic risk perception and behavioral intentions of paratransit users in Phnom Penh. Transportation Research Part F: Traffic Psychology and Behaviour, 55, 175–187. https://doi.org/10.1016/j.trf.2018.03.008
  • Pitale, A. M., Sadhukhan, S., & Parida, M. (2023). RIDIT-ISA approach to investigate commuter perceptions of an existing regional transit system : A case study in the National Capital Region, India. Transportation Research Record. 2677(9), 450–463. https://doi.org/10.1177/03611981231159400
  • Priye, S., & Manoj, M. (2020a). Passengers’ perceptions of safety in paratransit in the context of three-wheeled electric rickshaws in urban India. Safety Science. 124, 104591. https://doi.org/10.1016/j.ssci.2019.104591
  • Priye, S., & Manoj, M. (2020b). Exploring usage patterns and safety perceptions of the users of electric three-wheeled paratransit in Patna, India. Case Stud. Transp. Policy,.8(1), 39–48. https://doi.org/10.1016/j.cstp.2020.01.001
  • Rahman, F., Das, T., Hadiuzzaman, M., & Hossain, S. (2016). Perceived service quality of paratransit in developing countries : A structural equation approach. Transportation Research Part A: Policy and Practice, 93, 23–38. https://doi.org/10.1016/j.tra.2016.08.008
  • Rogulj, K., & Jajac, N. (2018). Achieving a construction barrier–free environment: Decision support to policy selection. Journal of Management in Engineering, 34(4), 1–18. https://doi.org/10.1061/(asce)me.1943-5479.0000618
  • Romero-Ania, A., Rivero Gutiérrez, L., & De Vicente Oliva, M. A. (2021). Multiple criteria decision analysis of sustainable urban public transport systems. Mathematics, 9(16), 1844. https://doi.org/10.3390/math9161844
  • Roy, S., & Basu, D. (2019). Ranking urban catchment areas according to service condition of walk environment. Journal of Transportation Engineering, Part A: Systems, 145(4), 04019005. https://doi.org/10.1061/JTEPBS.0000225
  • Sadhukhan, S., Banerjee, U. K., & Maitra, B. (2015). Commuters’ perception towards transfer facility attributes in and around metro stations: Experience in Kolkata. Journal of Urban Planning and Development, 141(4), 04014038. https://doi.org/10.1061/(asce)up.1943-5444.0000243
  • Sadhukhan, S., Banerjee, U. K., & Maitra, B. (2018). Preference heterogeneity towards the importance of transfer facility attributes at metro stations in Kolkata. Travel Behaviour and Society, 12, 72–83. https://doi.org/10.1016/j.tbs.2017.05.001
  • Saiyad, G., Srivastava, M., & Rathwa, D. (2022). Exploring determinants of feeder mode choice behavior using artificial neural network: Evidences from Delhi metro. Physica A: Statistical Mechanics and Its Applications, 598, 127363. https://doi.org/10.1016/j.physa.2022.127363
  • Sayyadi, R., & Awasthi, A. (2020). An integrated approach based on system dynamics and ANP for evaluating sustainable transportation policies. International Journal of Systems Science: Operations & Logistics, 7(2), 182–191. https://doi.org/10.1080/23302674.2018.1554168
  • Sermeus, W., & Delesie, L. (1996). RIDIT analysis on ordinal data. Western Journal of Nursing Research, 18(3), 351–359. https://doi.org/10.1177/019394599601800309
  • Shapiro, S. S., & Francia, R. S. (1972). An approximate analysis of variance test for normality. Journal of the American Statistical Association, 67(337), 215–216. https://doi.org/10.2307/2284728
  • Tarigan, A. K. M., Susilo, Y. O., & Joewono, T. B. (2014). Segmentation of paratransit users based on service quality and travel behaviour in Bandung, Indonesia. Transportation Planning and Technology, 37(2), 200–218. https://doi.org/10.1080/03081060.2013.870792
  • Tsamboulas, D. A. (2007). A tool for prioritizing multinational transport infrastructure investments. Transport Policy, 14(1), 11–26. https://doi.org/10.1016/j.tranpol.2006.06.001
  • United Nations Development Programme (UNDP). (2015). Goal 11 targets [WWW Document]. https://www.undp.org/sustainable-development-goals#sustainable-cities-and-communities
  • Vardin, A. N., Ansari, R., Khalilzadeh, M., Antucheviciene, J., & Bausys, R. (2021). An integrated decision support model based on bwm and fuzzy-vikor techniques for contractor selection in construction projects. Sustainability, 13(12), 6933. https://doi.org/10.3390/su13126933
  • Vuchic, V. R. (2007). Urban transit and systems technology. John Wiley & Sons, Inc. All. https://doi.org/10.1201/9781420041217-64
  • Wen, C. H., Wang, W. C., & Fu, C. (2012). Latent class nested logit model for analyzing high-speed rail access mode choice. Transportation Research Part E: Logistics and Transportation Review, 48(2), 545–554. https://doi.org/10.1016/j.tre.2011.09.002
  • Wu, C.-H. (2007). On the application of grey relational analysis and RIDIT analysis to Likert scale surveys. International Mathematical Forum, 2, 675–687. https://doi.org/10.12988/imf.2007.07059
  • Yang, M., Zhao, J., Wang, W., Liu, Z., & Li, Z. (2015). metro commuters’ satisfaction in multi-type access and egress transferring groups. Transportation Research Part D: Transport and Environment, 34, 179–194. https://doi.org/10.1016/j.trd.2014.11.004